Department of SCIENCES NCR

Syllabus for
BSc (Data Science and Artificial Intelligence/Honours/Honours with Research)
Academic Year  (2023)

 
1 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BBA141B MARKETING AND SELLING SKILLS Multidisciplinary Courses 3 3 50
BBA141C GROUP AND TEAM EFFECTIVENESS Multidisciplinary Courses 3 3 50
BBA141D TALENT MANAGEMENT Multidisciplinary Courses 3 3 50
COM144 FINANCIAL LITERACY Multidisciplinary Courses 3 03 100
COM146 INTRODUCTION TO EXCEL FOR MANAGERS Multidisciplinary Courses 3 3 100
DSC001-1N PRINCIPALS OF PROGRAMMING Bridge Courses 2 0 50
DSC101-1N PRINCIPLES OF DATA SCIENCE AND DIGITAL COMPUTER FUNDAMENTALS Major Core Courses-I 4 4 100
DSC161-1N PYTHON PROGRAMMING Skill Enhancement Courses 3 3 100
ENG181-1 ENGLISH Ability Enhancement Compulsory Courses 2 2 50
EST144-1N CRIME FICTION: AN INTRODUCTION Multidisciplinary Courses 3 3 50
LAW144 ENVIRONMENTAL LAW Multidisciplinary Courses 3 3 100
MAT121-1N FOUNDATION OF MATHEMATICS Minor Core Courses 4 4 100
MED141-1N MEDIA AND SOCIAL MOVEMENTS Multidisciplinary Courses 3 3 50
POL142-1N GLOBAL POWER AND POLITICS Multidisciplinary Courses 3 3 50
SOC141-1N YOUTH AND POPULAR CULTURE Multidisciplinary Courses 3 3 50
STA122-1N DESCRIPTIVE STATISTICS AND PROBABILITY Major Core Courses-I 4 04 100
2 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BBA142AN ADVERTISING AND SALES PROMOTION TECHNIQUES Multidisciplinary Courses 3 3 50
BDA101-2N DATA STRUCTURES USING PYTHON Major Core Courses-I 3 3 100
BDA102-2N INTRODUCTION TO OPERATING SYSTEMS Major Core Courses-I 3 3 100
BDA111-2N DATA STRUCTURE USING PYTHON LAB Major Core Courses-I 2 2 50
BDA112-2N INTRODUCTION TO OPERATING SYSTEM LAB Major Core Courses-I 2 1 50
BDA161-2N R PROGRAMMING Skill Enhancement Courses 4 3 100
COM149N INVESTMENTS AND TRADING STRATEGIES Multidisciplinary Courses 3 3 100
ECO141 GLOBALISATION Multidisciplinary Courses 3 3 50
ENG181-2 ENGLISH Ability Enhancement Compulsory Courses 3 2 100
ENG242 MYTHOLOGY IN POSTMODERN INDIAN LITERATURE Multidisciplinary Courses 3 3 50
MAT121-2N INTRODUCTION TO DIFFERENTIAL CALCULUS Minor Core Courses 4 4 100
MED142 DIGITAL STORYTELLING TECHNIQUES Multidisciplinary Courses 3 3 50
POL145 AMBEDKAR IN CONTEMPORARY TIMES Multidisciplinary Courses 3 3 50
POL146 UNITED NATIONS AND SUSTAINABLE DEVELOPMENT Multidisciplinary Courses 3 3 50
PSY156N PSYCHOLOGY OF RELATIONSHIPS Multidisciplinary Courses 3 3 50
SOC142 ARTIFICIAL INTELLIGENCE AND SOCIETY Multidisciplinary Courses 3 3 100
      

    

Department Overview:

The Department of Computational Sciences at CHRIST (Deemed to be University) Delhi- NCR has created a niche in the realm of higher education in India through its programmes. Currently, the department offers a wide array of undergraduate courses with multiple specializations in the disciplines of Computer Science, Statistics & Mathematics. A dedicated research block with all the latest research facilities boosts the morale of the faculty and research scholars alike. This is an ideal place for students with a research blend of mind to explore his/her passion. Apart from academics, students are moulded holistically through various co-curricular and extracurricular activities.

To promote the holistic development of the students and to sustain the academic creativity and inventiveness of the faculty the department engages in numerous workshops, seminars, industrial interfaces, faculty development programmes and many such endeavours. It is equipped with the highly committed team of instructors having versatile experience in teaching and research. The department also provides opportunities to work on collaborative projects with industry and international universities. 

Mission Statement:

VISION The Department of Computational Sciences endeavours to imbibe the vision of the University “Excellence and Service”. The department is committed to this philosophy which pervades every aspect and functioning of the department.

MISSION “To develop a computational scientist with ethical and human values”. To accomplish our mission, the department encourages students to apply their acquired knowledge and skills towards professional achievements in their career. The department also moulds the students to be socially responsible and ethically sound.

Introduction to Program:

Bachelor of Science (B.Sc.) in Data Science & Artificial Intelligence integrates two major areas, Data Science and Artificial Intelligence, in a collaborative manner. It is a 3-year course designed to prepare graduates who can conduct dataNriven investigations using statistical techniques and utilising Artificial Intelligence on different algorithmic techniques. This course will empower the graduates to develop an inNepth knowledge focusing on data science and the techniques for analysing the quantitative and qualitative data and developing a cutting-edge solution. Students will be able to apply the concepts for identifying the patterns and trends in the data from various sectors such as banking, production, manufacturing, finance, retails, healthcare etc.

The comprehensive curriculum is a blend of core and advanced specialist subjects. The emphasis of the curriculum is based on the principle that the subjects are more and more specialised as you go ahead through the program. The course structure starts with general courses comprising the basics of Mathematics, Statistics, Computer programming & Databases. It then gradually specialises into Artificial Intelligence and Data Science domain, which shall include Machine learning, Deep Learning, Database, Algorithms etc. exposing students to unlock the power of automation, Artificial Intelligence and Analytics. Upon successful completion of the course, the graduates shall be able to understand and apply the Data Science and AI concepts for solving real-world problems. This programme is extended to the fourth year as a B.Sc.(Hons) degree in Data Science and Artificial Intelligence, with or without research. 

Program Objective:

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO1: Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields

PO2: Demonstrate the problem solving skills in Data Science and Artificial Intelligence.

PO3: Apply theoretical concepts to design and develop applications of industry standards

PO4: Address the challenging requirements in Data Science and AI domain.

PO5: Understand professional, ethical and social responsibilities.

PO6: Enhance research culture and uphold scientific integrity and objectivity.

PO7: Engage in continuous reflective learning in the context of technological and scientific advancements.

Assesment Pattern

CIA : 50%

ESE : 50%

Examination And Assesments

The Department of Computational Sciences at CHRIST (Deemed to be University) Delhi- NCR has created a niche in the realm of higher education in India through its programmes. Currently, the Department offers a wide array of undergraduate courses with multiple specializations in the disciplines of Computer Science, Statistics & Mathematics. A dedicated research block with all the latest research facilities boosts the morale of the faculty and research scholars alike. This is an ideal place for students with a research blend of mind to explore his/her passion. Apart from academics, students are moulded holistically through various co-curricular and extracurricular activities.

To promote the holistic development of the students and to sustain the academic creativity and inventiveness of the faculty the department engages in numerous workshops, seminars, industrial interfaces, faculty development programmes and many such endeavours. It is equipped with a highly committed team of instructors having versatile experience in teaching and research. The department also provides opportunities to work on collaborative projects with industry and international universities.

BBA141B - MARKETING AND SELLING SKILLS (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Course Description

This is the basic course in Marketing and Selling Skills where students will get the exposure of Marketing and sales. The subject gives them a vast and wide insight of the traditional and contemporary aspects in Marketing and sales. The input of basic fundamentals, coupled with the practical knowledge will be given to the students to help them in understanding and designing the sales & marketing tactics and strategies.

 

Course Objective:

      To understand and appreciate the concept of marketing & sales in theory and practice

      To evaluate the environment of marketing and develop a feasible marketing &selling plan 

      To understand and apply the STP of marketing (segmentation, targeting, positioning)

      To have an elementary knowledge of consumer behaviour its determinants and selling skills

Learning Outcome

CO1: Demonstrate a comprehensive understanding of marketing and sales principles, theories, and their practical applications (RBTL 2)

CO2: Identify the key elements of the marketing environment and their impact on marketing and selling activities. (RBTL 3)

CO3: Apply segmentation techniques to categorize target market segments effectively. (RBTL 3)

CO4: Demonstrate basic selling skills, such as effective communication and relationship building, through practical exercises and simulations. (RBTL 2)

Unit-1
Teaching Hours:8
Unit 1: An Introduction to Marketing
 

Introduction, genesis & evolution of marketing in society, Importance and Scope of Marketing, Elements of Marketing – Need, Want, Demand, Desire, Marketing Philosophies, Mccarthy’s 4P classification, Lauterborn’s 4C’s classification & 4A’s Framework of rural marketing, Product service continuum.

Unit-2
Teaching Hours:6
Marketing Environment ? An Understanding
 

Basics of Marketing Environment, Factors Affecting Marketing Environment, Environmental analysis – SWOT & PESTLE, Marketing Environment in India, Legal & regulatory framework in India, Marketing Mix (Four Ps of Marketing).

Unit-3
Teaching Hours:8
Unit 3: Segmentation, Targeting and Positioning
 

Market Segmentation, Basis of segmentation & its types - Demographic, Geographic, Psychographic and behavioral Segmentation etc, Targeting- Five Patterns of Target Market Selection, Positioning-Concept of Positioning, Perceptual Mapping.

Unit-4
Teaching Hours:6
Unit 4: Product Life Cycle and Consumer Behaviour
 

Product Life Cycle concept, marketing implications of PLC stages, corresponding strategies, dealing with competition, Perceptual Mapping, Consumer Behaviour – Rational V/s Emotional, Consumer proposition & acquisition process, buying motives, its types, Consumer Behaviour process

Unit-5
Teaching Hours:10
Unit 5: Selling ? An Introduction
 

Nature, Meaning and Significance of Sales Management and Personal selling; Evolution of Sales Management, Role of Selling in Marketing, Characteristics of a successful Salesman; Types of Selling, Selling Functions, Sales Funnel; Process of Effective Selling: Sales strategies; Prospecting: Meaning, process & methods; Ways to approach a customer

Unit-6
Teaching Hours:7
Unit 6: Effective Sales management and Sales Force Organisation
 

Sales presentation; Handling objections; Closing a sale; Current issues in sales management; Case lets and applications, Meaning of Sales Force Management; Determining the sales force and size of the sales force, Introduction to: Sales organization concepts; Sales territories

Text Books And Reference Books:

Text Books: 

  1. Kotler, P., & Keller, K. (2015). Marketing management 15th edition. Prentice Hall.
  2. Kotler, P. (2013). Marketing management: A south Asian perspective.  13th edition, Pearson Education India.
  3. Panda, T. K., & Sahadev, S. (2nd Edition, 2011). Sales and distribution management. Oxford Publication.
  4. Spiro, R. L., Rich, G. A., & Stanton, W. J. (12th Edition, 2008). Management of a sales force. McGraw-Hill/Irwin.

 

 

 

Essential Reading / Recommended Reading

Suggested Readings: 

  1. Ramaswami, S., Namakumari. S,(2013) marketing management–Global Perspective Indian Context, Macmillan Publishers India Ltd, 5th Edition
  2. Rajan Saxena, Marketing Management, (2009) 4th edition, Tata McGraw-Hill Education
  3. Etzel M.J., Walker B.J. and Stanton William J - Marketing concept & Cases special Indian 14th Edition Tata Mc Graw Hill.
  4. Czinkota, Kotabe, Marketing Management, II edition, Thomson Publications.
  5. Still, R. R., Cundiff, E. W., & Govoni, N. A. (1988). Sales management: decisions, strategies, and    cases, New Jersey: Prentice-Hall.
  6. Coughlan, A. T., Anderson, E., Stern, L. W., & Adel, I. (2006). El-Ansary. Marketing Channels. Prentice-Hall.
  7. Jobber, D., & Lancaster, G. (2007). Selling and sales management. Painos. Harlow: Pearson Education.
  8. Cron, Decarlo T. E. (2016). Sales Management concepts and cases: Wiley India
  9. Pingali Venugopal (2008). Sales and Distribution Management, Sage Publication 
Evaluation Pattern

CIA 1: 20 MARKS ( LATER CONVERTED TO 10 MARKS)

CIA 2: 20 MARKS ( LATER CONVERTED TO 10 MARKS)

CIA 3: 50 MARKS ( LATER CONVERTED TO 25 MARKS)

Attendance 5 marks 

Total 50 marks 

BBA141C - GROUP AND TEAM EFFECTIVENESS (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

The success of organizations are predominantly determined by the effectiveness of it people resources. To succeed in this global competition, it is imperative for the organizations to build hig performing teams. The core of building high performing teams is to understand team dynamics and build collaboration within teams, between teams and work as a team of teams. The course will enable the students to understand the nuances of team dynamics, experience the power of synergy working as a team and collaborate effectively for the benefit of personal, organizational and societal growth.

The course aims: 

        To facilitate better understanding of group and phases of group development

        To provide a deeper understanding of team dynamics and qualities of being a good team player

        Resolve team conflicts and build synergy

        Build trust, offer constructive feedback, coach and mentor others

To inculcate the spirit of working as a team

Learning Outcome

CO1: Define the concept of groups and stages of group development

CO2: Understand the nuances of working as a team and qualities of a good team player

CO3: Build teams, achieve synergy and resolve team conflicts.

CO4: Analyze and offer constructive feedback, coaching and mentoring.

CO5: Choose to collaborate effectively and work as a team

Unit-1
Teaching Hours:9
Group Dynamics
 

 

Concept of Groups, why people join groups, Phases of Group Development, Group Cohesiveness, Group Think, Group Decision Making, Techniques.

Unit-2
Teaching Hours:9
Understanding Teams
 

Concept of Team, Significance of working as Team, Difference between Work Groups and Work Teams, Types of Teams, Team Effectiveness, Qualities of a good Team Player, Self-Managed Teams.

Unit-3
Teaching Hours:9
Team Building
 

Concept of Team Building, Barriers to Team Building, Resolving Team Conflicts, Achieving Synergy through team work.

Unit-4
Teaching Hours:9
High Performing Teams
 

Building Trust and Credibility, Constructive Feedback, Coaching and Mentoring.

Unit-5
Teaching Hours:9
Outdoor Experiential Learning Activities
 

Bonding, Team Building, Trust Building, Team Competitive Games, Group Dynamics, Identifying High Performing Teams and Achieving Team Effectiveness.

Text Books And Reference Books:

Robbins, P.S. (2022) Organizational Behavior: International Version. 19th Edition, Pearson

Higher Education

 Leadership: Enhancing the lessons of experience by Hughes, R.L., Ginnett, R.C., & Curphy, G.J. (2019), 9th Edition, McGraw Hill Education, Chennai, India.

Essential Reading / Recommended Reading

       https://hbr.org/2016/06/the-secrets-of-great-teamwork

       https://www.forbes.com/sites/forbeshumanresourcescouncil/2020/09/16/14-characteristics-of-high-performing-teams/?sh=4708d51316c6

https://hbr.org/2021/10/5-things-high-performing-teams-do-differently

.

Evaluation Pattern

CIA 1- 10 MARKS

CIA 2- 10 MARKS

CIA3- 25 MARKS

ATTENDANCE- 5 MARKS

BBA141D - TALENT MANAGEMENT (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Human Resource is considered as a valuable resource in every organization. The world class companies compete among themselves to attract the best talent across the globe.  They view talent as competitive differentiator and one where the acquisition, engagement, development and retention of talent is considered as a strategic priority of business.  This course exposes the students to methods and practices to acquire, engage and develop talent, focus on development of strategic leaders within an organization and also deals with how talent and knowledge can be managed effectively for the development of the organization

Learning Outcome

CO 1: 1. Demonstrate an understanding of key concepts, principles and models related to talent and knowledge management

CO 2: 2. Evaluate the importance of talent management in developing organizations

CO 3: 3. Learn to apply the theories and concepts studied in the classroom to practical situations

CO 4: 4. Analyse the various talent and knowledge management practices and their value to organizations

CO 5: 5. Solve the issues pertaining to talent and knowledge management

Unit-1
Teaching Hours:7
Introduction to Talent Management
 

Meaning and concept of talent management, need and scope for talent management, Talent vs Knowledge, Talent management models: Process and Integrated model, Talent management initiatives, Techniques for potential appraisal, Talent management grid, Benefits of talent management.

Unit-2
Teaching Hours:7
Creating Talent Management Systems
 

Building blocks for talent management strategy, Developing and implementing Effective Talent Management System, Measuring the effectiveness of talent management, creating talent management system for organizational excellence.

Unit-3
Teaching Hours:7
Competency mapping and approaches to talent management
 

Competency Mapping- Meaning, Importance and Steps in competency mapping, Competency model, Role of leaders and HR in talent management, Talent Management Approaches, Mapping Business Strategies and Talent Management Strategies, Achieving competitive advantage, Best practices in talent management- Case studies

Unit-4
Teaching Hours:7
Integrating Talent and Knowledge Management
 

Introduction to knowledge management, types of knowledge, Benefits of Knowledge Management, Integrating talent management and knowledge management, Role of Information technology in talent and knowledge management.

Unit-5
Teaching Hours:7
Recent Trends and Best Practices in Talent Management
 

Introduction, Use of Technology in Talent Management, Use of AI in Talent Management, Talent Management using Design Thinking

Unit-6
Teaching Hours:10
Project Work: Field study & Report Submission
 

Experiential Learning Activity: Identifying any one organization in the manufacturing or service sector- Interacting, observing and conducting interviews with their senior HR leaders to understand how they manage and retain talent in their organizations.  

Text Books And Reference Books:

       Lance A. Berger, Dorothy Berger (2017): Talent management handbook, McGraw Hill New York.

 

       Mohapatra.M & Dhir.S (2022); Talent Management-A contemporary perspective (2022), Sage Publications

Essential Reading / Recommended Reading

       Mark Wilcox (2016), Effective Talent Management: Aligning strategy, people and performance, (1st ed.), Routledge Taylor and Francis Group.

       Marshal Gold Smith and Louis Carter (2018): Best practices in talent management, A Publication of the practice institute, Pfeiffer, A Wiley Imprint.

       Atheer Abdullah Mohammed (2019), Integrating Talent and Knowledge Management: Theory and practice, Lamber Publishing co.,

       Cappeli Peter: Talent on Demand –Managing Talent in an age of uncertainty, Harvard Business press.

Sphr Doris Sims, Sphr Matthew Gay(2007),Building Tomorrow’s Talent : A Practitioner’s Guide to Talent Management and Succession Planning, Author House

Evaluation Pattern

Component

 

Maximum marks

Weightage

Total Marks in Final Grade

CIA1

20

50%

10

CIA2

20

50%

10

CIA3

50

50%

25

Attendance

5

100 %

05

Total = 50

 

COM144 - FINANCIAL LITERACY (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:03

Course Objectives/Course Description

 

The course aims at enhancing their financial skills as well as training the students to be financial educators with family and friends. There is a need for students to effectively plan and monitor their spending. The course aims at effectively training students and equipping them with the knowledge and tools to manage their finances and also teach others the same.

Learning Outcome

CO1: Understand the basic concepts of financial literacy.

CO2: Apply financial planning and budgeting decisions on a personal and professional front.

CO3: Understand the purpose and functions of the Banking system.

CO4: Understand the role and importance of financial instruments and insurance products.

Unit-1
Teaching Hours:6
Introduction to Financial Literacy
 

Introduction, Evolution, Meaning and importance of -  Income, Expenses, Savings, Budget, Money, Currency, Bank account, savings investment, JAM-balance sheet – purpose features, format – Technology in finance – FinTech, TechFin, Regtech, sandox, Mobile-based Banking – post offices – Savings vs investments – Power of Compounding – risk and Return-Time Value of Money- Simple Interest-Compound Interest-

 

Unit-2
Teaching Hours:5
Planning and Budgeting
 

Introduction to Financial Planning - Analysing the resources of the person - Concepts in Financial Planning:The time value of money, Diversification - 'spreading risk', Investment Timing - Financial Products for Savers: Financial Products options for savers, personal budget – family budget – financial planning procedure.

Unit-3
Teaching Hours:12
Banking Products and Services
 

Introduction and evolution of Banking – Banking in India – RBI – Role of RBI in India– Savings and Deposits – Deposits, Accounts, KYC,e/v KYC Types of Deposits - Saving Bank Accounts, Fixed Deposit Accounts, Recurring Deposit Account, Special Term Deposit Schemes, Loans and Types of loan advanced by Banks and Other secondary functions of Bank – PAN, NSDL: PAN, Meaning of Cheque and types of cheques – CTS_MICR-IFSC – e- Banking – ATM, Debit, Credit, Smart Card, UPI, e-Wallets, Payment Banks-NPCI: Products and role in regulating the online payments, CIBIL – Banking complaints and Banking Ombudsman. Mutual Funds_ Types of Mutual Funds-NAV. Digital Currency-Bitcoin- NFO

Unit-4
Teaching Hours:12
Post Office Products, Retirement planning and Investment Avenues
 

Post Office Savings Account(SB)​​​​​, National Savings Recurring Deposit Account (RD)​​, ​National Savings Time Deposit Account (TD), National Savings Monthly Income Account (MIS), Senior Citizens Savings Scheme Account (SCSS)​, Public Provident Fund Account (PPF)​, Sukanya Samriddhi Account (SSA)​, National Savings Certificates (VIIIth Issue) (NSC), Kisan Vikas Patra (KVP), PM CARES for Children Scheme, 2021, Interest rates (New)​, How to avail services, Schedule of Fee – IPBS – KYC. Employees Provident Fund (EPF) - Public Provident Fund (PPF), Superannuation Fund, Gratuity, Other Pension Plan, and Post-retire Counselling-National Pension Scheme(NPS)

 

Unit-5
Teaching Hours:10
Life Insurance and Related Services
 

Life Insurance Policies: Life Insurance, Term Life Insurance, Pension Policies, ULIP, Health Insurance, Endowment Policies, Property Insurance: Policies offered by various general insurance companies. Post office life Insurance Schemes: Postal Life Insurance and Rural Postal Life Insurance (PLI/RPLI). Housing Loans: Institutions providing housing loans, loans under Pradhan Mantri Awas Yojana – Rural and Urban-Atal Pension Yojana (APS),

Text Books And Reference Books:
  1. Chandra, P. (2012). Investment Game: How to Win. New Delhi: Tata McGraw Hill Education
Essential Reading / Recommended Reading

 

  1. Mittra, S., Rai, S. K., Sahu, A. P., & Starn, H. J. (2015). Financial Planning. New Delhi: Sage Publications India Pvt. Ltd.
  2. https://rbidocs.rbi.org.in/rdocs/content/pdfs/GUIDE310113_F.pdf

 

Evaluation Pattern

CIA1 25 marks

CIA2  25 marks 

ESE  50 marks 

COM146 - INTRODUCTION TO EXCEL FOR MANAGERS (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course provides the knowledge base for understanding the workings of Excel. The primary objective of the course is to familiarize the students with the basics of Microsoft excel. The course introduces the students to financial analysis. Further, the course also deals with the practical application of Microsoft Excel in day-to-day business activities. As a prerequisite, the students should have basic knowledge of computers and MS Office.

Learning Outcome

CO1: To provide students with the fundamental knowledge of the use of computers in business.

CO2: To provide exposure to the students on MS Office Excel.

CO3: To apply MS excel functions in business.

Unit-1
Teaching Hours:12
Introduction to Excel
 

Understanding the concept of a spreadsheet - Identifying the components of a spreadsheet

 

Navigating the Excel interface – Comparison of various version of Microsoft excel - Creating a new spreadsheet- Entering data into cells - Formatting data (fonts, colors, borders) - Adjusting column width and row height - Merging and splitting cells - Basic Excel functions: Structure of an excel function, functions such as SUM (), MIN (), MAX (), AVERAGE (), COUNT (), AUTOSUM, AUTOFILL. Working with an Excel List: Understanding Excel List Structure, Sorting a List Using Single Level Sort, Sorting a List Using Multi-Level Sorts, Using Custom Sorts in an Excel List, Filter an Excel List Using the AutoFilter, Creating Subtotals in a List, Format a List as a Table, Using Conditional Formatting to Find Duplicates, Removing Duplicates.

Unit-2
Teaching Hours:2
Validation
 

Excel Data Validation: Understanding the Need for Data Validation, Creating a Validation. List, Adding a Custom Validation Error, Dynamic Formulas by Using Validation Techniques – Protecting range, formula, entire workbook – inserting header and footer

Unit-3
Teaching Hours:6
Excel PivotTables
 

Understanding Excel PivotTables, Creating an Excel PivotTable, Modifying Excel PivotTable Calculations, Grouping PivotTable Data, Formatting PivotTable Data, Drilling Down into PivotTable Data, Creating Pivot Charts, Filtering PivotTable Data, Filtering with the Slicer Tool

Unit-4
Teaching Hours:9
Conditional Functions and Working with Large Excel Data Sets
 

Conditional Functions: Working with Excel Name Ranges, Using Excel's IF () Function, Nesting Functions, Using Excel's COUNTIF () Function, Using Excel's SUMIF () Function, Using Excel's IFERROR () Function. Working with Large Sets of Excel Data: Using the Freeze Panes Tool, Grouping Data (Columns and/or Rows), Consolidating Data from Multiple Worksheets. Printing of excel worksheet – alignment, printing of selection, range, entire workbook – mail merge using excel

Unit-5
Teaching Hours:9
LookUp, Text Based Function and financial function
 

Excel's Lookup Functions: Using Excel's VLOOKUP() Function, Using Excel's HLOOKUP() Function, Using Excel's INDEX() and MATCH() Functions. Excel's Text-Based Functions: Using Excel's functions such as LEFT(), RIGHT() and MID(), LEN(), SEARCH(), CONCATENATE(). Time value of money - present value of money - capital budgeting, Net present value, Internal rate of return. Statistical function - Introduction to macros. Creation of simple macro functions

Text Books And Reference Books:

Microsoft Excel 2016 Step by Step Curtis Frye, Microsoft Press, A division of Microsoft Corporation, 2015 edition.

Essential Reading / Recommended Reading

Microsoft Excel Essential Hints and Tips Fundamental hints and tips to kick start your Excel skills By Diane Griffiths Published, 2015 edition

 

Excel 2010 Formulas, by Wiley Publishing, 2010 Edition.

Evaluation Pattern

MCQ Test and Practical excercise 

DSC001-1N - PRINCIPALS OF PROGRAMMING (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:0

Course Objectives/Course Description

 

To enable the students to understand the fundamental concepts of problem solving and programming structures. The Objective of the course is to teach students the basic principles of programming. These principles will help lay a solid foundation for the students in pursuing courses related to programming during the program. The Course lays emphasis on the fundamentals of programming. 

Learning Outcome

Unit-1
Teaching Hours:7
General Problem-Solving concepts
 

 Types of Problems – Problem solving with Computers – Difficulties with problem solving – problem solving concepts for the computer – Constants and Variables – Rules for Naming and using variables – Data types – numeric data – character data – logical data – rules for data types – examples of data types – storing the data in computer - Functions – Operators – Expressions and Equations 

Unit-2
Teaching Hours:7
Fundamentals of Programming and Data Types
 

How a Computer Solves a problem-Various stages, Execution, Constants and Variables, Syntax and Logical Errors, Data Types, Tokens, ASCII code, Characters, Strings, Variables, Assignments, Input/Output/Assignment Statements. 

Unit-3
Teaching Hours:8
Programming Paradigms and Logic
 

Functional Paradigm, Logic Programming Paradigm, Sequence Logic, Selection Logic-Boolean Expressions, if/if-else constructs, Repetition Logic-Looping statements, for/while construct, increment/decrement operators, keep a count problem-Object-oriented Paradigm. 

Unit-4
Teaching Hours:8
Functions, Arrays and Strings
 

Functional Programming, Functions-Header, Parameters/Arguments, Return, Types of Functions, Array- Structure, Declaration, Array storage, Array of Characters, String-Representation in memory, String Processing, String Operations. 

Text Books And Reference Books:

[1]       Noel Kalicharan, Learn to Program with C, 1st Edition, Apress Publishers, 2015

 

[2]       Maureen Sprankle and Jim Hubbard, Problem-solving and programming concepts, PHI, 9th Edition, 2012 

Essential Reading / Recommended Reading

A. K. Sharma, Object Oriented Programming with C++, 1st edition, Pearson India, 2014

Evaluation Pattern

Pre test

Post test

DSC101-1N - PRINCIPLES OF DATA SCIENCE AND DIGITAL COMPUTER FUNDAMENTALS (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The course enables students to provide a strong foundation for Data Science and applications related to it. They also understand the underlying core concepts and emerging technologies in data science and learn the process of working with data on large scale. The course also provides the required knowledge about the digital fundamentals of computers. The course covers topics like number systems, logic gates, and flips flops. The discussion about the working of devices like encoders and decoders, multiplexers, and demultiplexers are dealt.

Course Objectives:

1. To provide a strong foundation for data science and the application area related to it, train to explore the process of data pre-processing and machine learning, and to inculcate the importance of ethics while handling data and problems in data science.

2. To provide students with a fundamental understanding of the digital computing concepts from a hardware and software perspective.

Learning Outcome

CO1: Understand the fundamental concepts of data science.

CO2: Explore the concepts of data pre-processing and visualization.

CO3: Learn the basic concepts of machine learning.

CO4: Learn to practice ethics while handling data.

CO5: Provide a basic understanding of the architecture and organization of digital computers.

CO6: Introduce the principles of digital logic and the design of digital circuits.

Unit-1
Teaching Hours:6
Introduction to Data Science
 

What is data science? Why data science? Data science venn diagram. Terminologies –Application case studies. Types of data – Structured vs unstructured data – Quantitative vs qualitative data – Four levels of data.

Unit-2
Teaching Hours:6
Data Science Process
 

Five steps of data science – Ask an interesting question? – Obtain the data - Explore the data – Model  the data –Communicate and visualize results – Basic question for data explorations – case studies for EDA.

Unit-3
Teaching Hours:6
Data Visualization
 

Communicating data –Identifying visualization – Importance of graphs and statistics – Verbal communication – The why, how and what strategy of presenting.

Unit-4
Teaching Hours:6
Machine Learning Essentials
 

Machine learning – Modeling Process – Training model – Validating model – Predicting new  observations – Supervised learning algorithms – Unsupervised learning algorithms.

Unit-5
Teaching Hours:6
Ethics and Recent Trends
 

Data Science Ethics – Doing good data science – Owners of the data – Valuing different aspects of privacy – Getting informed consent – The Five Cs – Diversity – Inclusion – Future Trends.

Unit-6
Teaching Hours:6
Number Systems
 

Introduction to Numbers Systems, common terms, representation in binary, equivalent, conversion-Binary Codes - Different types of Binary Codes - Digital Arithmetic: Basic Rules of Binary Addition and Subtraction, Multiplication, Division.

Unit-7
Teaching Hours:6
Logic Gates
 

Introduction to Logic Gates and universal Gates, type of Gates, some common applications of logic gates- Logic Families: Significance and types, Characteristics, Transistor Transistor Logic, CMOS, logic family.

Unit-8
Teaching Hours:6
Boolean Algebra and Simplification Techniques
 

Introduction to Boolean Algebra- postulates- Theorems.

Unit-9
Teaching Hours:6
Simplification Techniques
 

SOP, POS, k-map- Arithmetic Circuits: Introduction to arithmetic circuits, basic building blocks, BCD adder.

Unit-10
Teaching Hours:6
Multiplex and De-multiplexers
 

Multiplexer, Encoders, De-multiplexers, Decoders - Flip Flops: Introduction of Flip Flops, types of

Flip Flops.

Text Books And Reference Books:

[1] Sinan Ozdemir, Principles of Data Science learn the techniques and math you need to start making sense of your data. Birmingham Packt December, 2016.

[2] Davy Cielen and Arno Meysman, Introducing Data Science. Simon and Schuster, 2016.

[3] M. Loukides, H. Mason, and D. Patil, Ethics and Data Science. O’Reilly Media, 2018.

[4] Digital Electronics Principles, Devices and Applications, Anil K. Maini, DRDO, India, John Wiley & Sons, Ltd

[5] Computer Organization and Design : the hardware/software interface by david a patterson and john l hennessy

Essential Reading / Recommended Reading

[1] Data Science from Scratch: First Principles with Python, Joel Grus, O’Reilly, 1st edition, 2015

[2] Doing Data Science, Straight Talk from the Frontline, Cathy O'Neil, Rachel Schutt, O’Reilly, 1st edition, 2013

[3] Mining of Massive Datasets, Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman,Cambridge University Press, 2nd edition, 2014

[4] Computer Systems: Digital Design, Fundamentals of Computer Architecture and Assembly Language, ATa Elahi , Springer 2019

Evaluation Pattern

50 % CIA

50% ESE

DSC161-1N - PYTHON PROGRAMMING (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description:

This course covers the programming paradigms associated with Python. It provides a comprehensive understanding of Python data types, functions and modules with a focus on modular programming.

Course Objectives:

To provide comprehensive knowledge of Python programming paradigms.

Learning Outcome

CO1: Understand and apply core programming concepts.

CO2: To develop Python programs with conditionals and loops.

CO3: Demonstrate significant experience with Python program development environment.

CO4: Design and implement fully-functional programs using commonly used modules and custom functions.

Unit-1
Teaching Hours:9
Introducing Python
 

Introduction, Python Fundamentals, Features of Python, Components of a Python Program, Understanding the Interpreter.

Python basics: Identifiers, Basic Types, Operators, Precedence and Associativity, Decision Control Structures, Looping Structures, Console input, and output.

LAB 1: Implement Basic data types, Control structures and operators.

Unit-2
Teaching Hours:9
Python Data Types: Lists and Tuples
 

Strings, Lists: Accessing elements, Basic List operations, Built-in methods.

Tuples: working with elements, Basic Tuple operation, Tuple methods and Types of Tuples.

LAB 2: Implement Lists

LAB 3: Implement Tuples

Unit-3
Teaching Hours:9
Python Data Types: Sets and Dictionaries
 

Sets: Definition, Set Elements, Built-in methods, basic set operations, Mathematical Set operation, Variety of Sets.

Dictionaries: Defining a dictionary, accessing elements, basic operations, methods

LAB4: Implement Dictionary

LAB5: Implement Set

Unit-4
Teaching Hours:9
Comprehensions, Functions and Modules
 

Comprehensions: List Comprehensions, Set Comprehension, Dictionary Comprehension.

Functions: Defining a function, Types of arguments, unpacking arguments.

Recursive functions. Main module, built-in, custom modules, importing a module.

LAB6: Implement List, Set and Dictionary Comprehensions

LAB 7: Implement Recursive function

Unit-5
Teaching Hours:9
Introduction to Numpy and Pandas
 

Introduction to NumPy, Aggregations Computation on Arrays, Comparisons, Sorting Arrays.

Introduction to Pandas: Data indexing and Selection, Operating on Data, Handling Missing Data.

LAB 8: Implement the modules of Pandas and NumPy for Data handling.

Text Books And Reference Books:

[1] Martin Brown, Python: The Complete Reference, McGraw Hill Publications,4th Edition March 2018.

[2] Yashavant Kanetkar, Aditya Kanetkar, Let Us Python, BPB Publications, 4th Edition 2022.

Essential Reading / Recommended Reading

[1] Reema Thareja, Python Programming using problem-solving Approach, Oxford University, Higher Education Oxford University Press, 2017.

[2] Zhang. Y, An Introduction to Python and Computer Programming, Springer Publications, 2015.

Evaluation Pattern

50% CIA

50% ESE

ENG181-1 - ENGLISH (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 
  • To expose learners to a variety of texts to interact with
  • To help learners classify ideologies and be able to express the same
  • To expose learners to visual texts and its reading formulas
  • To help learners develop a taste to appreciate works of literature through the organization of language
  • To help develop critical thinking
  • To help learners appreciate literature and the language nuances that enhances its literary values
  • To help learners understand the relationship between the world around them and the text/literature
  • To help learners negotiate with content and infer meaning contextually
  • To help learners understand logical sequencing of content and process information

·         To help improve their communication skills for larger academic purposes and vocational purposes

·         To enable learners to learn the contextual use of words and the generic meaning

·         To enable learners to listen to audio content and infer contextual meaning

·         To enable learners to be able to speak for various purposes and occasions using context specific language and expressions

·         To enable learners to develop the ability to write for various purposes using suitable and precise language.

Learning Outcome

CO1: Understand how to engage with texts from various countries, historical, cultural specificities, and politics and develop the ability to reflect upon and comment on texts with various themes

CO2: Develop an analytical and critical bent of mind to compare and analyze the various literature they read and discuss in class

CO3: Develop the ability to communicate both orally and in writing for various purposes

Unit-1
Teaching Hours:7
1. The Happy Prince- Oscar Wilde 2. Sonnet 18- William Shakespeare
 
  • 1. The Happy Prince- Oscar Wilde
  • 2. Sonnet 18- William Shakespeare

Unit-1
Teaching Hours:7
Language
 

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

Unit-2
Teaching Hours:6
1. Why We Travel-Pico Iyer
 

 Why We Travel-Pico Iyer 

Unit-2
Teaching Hours:6
language
 

Sentence fragments, dangling modifiers, faulty parallelism,

Unit-3
Teaching Hours:4
1. Thinking Like a Mountain By Aldo Leopold
 

Thinking Like a Mountain  By Aldo Leopold

Unit-3
Teaching Hours:4
language
 

Note taking

Unit-4
Teaching Hours:5
Aarushi-Hemraj Murder Article
 

 

Aarushi-Hemraj Murder Article 

Unit-4
Teaching Hours:5
Language
 

Newspaper report

Unit-5
Teaching Hours:4
1. My Story- Nicole DeFreece
 

 

 My Story- Nicole DeFreece

 

Unit-5
Teaching Hours:4
Language
 

Essay writing

Unit-6
Teaching Hours:4
Language
 

Paraphrasing and interpretation skills

Unit-6
Teaching Hours:4
Casey at the Bat- Ernest Lawrence Thayer
 
  • Casey at the Bat-  Ernest Lawrence Thayer
Text Books And Reference Books:

ENGlogue 1

Essential Reading / Recommended Reading

Additional  material as per teacher manual will be provided by the teachers

Evaluation Pattern

CIA 1=20 

CIA 2=50 

CIA 3= 20 

ESE= 50 marks

EST144-1N - CRIME FICTION: AN INTRODUCTION (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

This is an introductory course to understanding the emergence and development of crime fiction as a literary genre. Once considered as popular literature insignificant to the canon, crime fiction exists as a genre that is relevant to the current times, especially to understand the society in which we live in today. This course will engage discussions on the concepts of crime and justice, and enable students to identify how crime impacts individuals and communities. Certain discourses will include socio-cultural understanding of crime and punishment, role of detectives and police officers and their interactions with civilians, and how gender, race, class, religion play a role in these narratives. Through this course, students will critically analyse textual works in the form of short stories, chapters, essays, novels, along with visual sources such as documentaries, films, television and web series and animated works.

 

 

 

 

Course Objectives

 

The objective of this course is to:

 

      Sensitise students to the real-world scenario of conflict and violence and its consequence thereof.

 

      Introduce crime fiction and its sub-genres

 

      Study the impact of crime on literature and society.

 

      Explore different forms of crime fiction from across the globe.

 

      Identify works of crime fiction that are yet unexplored such as regional works with linguistic variabilities.

 

Learning Outcome

CO1: Define crime fiction and identify its sub genres

CO2: Understand the evolution of crime fiction from mystery and puzzle stories

CO3: Contextually place the given work to comprehend the society, history and culture.

CO4: Engage with the emerging regional, national and global crime literature in the textual and digital space.

Unit-1
Teaching Hours:10
Background
 

This unit will focus on understanding how we define crime. It will look into various instances of crimes such as homicide, war crimes, white collar crime, physical assault, terrorism and so on, across societies in history. The unit will include how punishment and torture were used as tools to persuade the masses to follow law and order. Prison systems based on the panopticon will also be considered. This unit aims at understanding the society around us and how incidences of crime shapes our lives today.

Topics for Discussion:

 

 

 

      Crime

 

      War Crimes (Jews genocide, Russia Ukraine War, Kashmiri Pundit genocide)

 

      Homicide (Jack the Ripper murder case)

 

      Rape and assault (December 16th; Partition narratives)

 

      White Collar crimes (Frank Abagnale Jr, Harshad Mehta)

 

      Terrorism (9/11, 26/11)

 

      Punishment

 

      Torture Instruments

 

      Prisons (Panopticon: Cellular Jail)

 

 

 

Readings:

 

 

 

      Beccaria, C. (1764). An essay on crime and punishments. The Portable Enlightenment Reader, 525-532. Ed. Isaac Kramnick. USA: Penguin Books, 1995. Print.

 

      Bentham, J. (1789). Cases unmeet for punishment. The Portable Enlightenment Reader, 541-546. Ed. Isaac Kramnick. USA: Penguin Books, 1995. Print.

Suggested Reading

 

      Althusser, Louis. "Ideology and ideological state apparatuses (notes towards an investigation) (1970)." Cultural theory: an Anthology (2010): 204-222.

 

      Foucault, Michel. “Discipline and Punish”.  Readings in the Theory of Religion. Routledge, 2016. 549-566.

 

      Dostoevsky.  Crime and Punishment.

 

 

 

Unit-2
Teaching Hours:15
Defining Crime Fiction and its Sub-genres
 

This unit will focus on the emergence of crime fiction from mystery stories, riddles and puzzles. It will explore how crime fiction has developed over a period of time into different sub-genres.

 

 

 

Topics for Discussion:

 

 

 

      Definition of crime fiction

 

      Sub-genres of crime fiction

 

      Rules of writing crime fiction

 

 

 

Readings:

 

      Todorov, Tzvetan. “The Typology of Detective Fiction”. Poetics of Prose. 1966.

 

      Edgar Allan Poe. “The Murders in the Rue Morgue”. 1841.

 

      Arthur Conan Doyle. “A Scandal in Bohemia”. 1891.

 

 

 

Suggested Readings:

 

      SS Van Dine’s “Twenty Rules of Writing Detective Stories” (1928)

 

      Sophocles’ Oedipus Rex

 

      Select folk tales of Charles Perrault and Grimm Brothers.

 

      Arthur Conan Doyle “The Red Headed League”. 1891. ​The Adventures of Sherlock Holmes. Project Gutenberg, EBook, 2002. 18-33

 

      Scaggs, John. Crime Fiction: A New Critical Idiom. Oxon: Routledge, 2005

 

      Wilder, Ursula M. “Odysseus, the Archetypal Spy”. International Journal of Intelligence and CounterIntelligence, 2021, pp. 1–17. DOI: 10.1080/08850607.2020.1847517.

 

      Auden, W. H. “The Guilty Vicarage: Notes on the Detective Story, by an Addict”. Harper’s Magazine. May 1948 issue. Web. https://harpers.org/archive/1948/05/the-guiltyvicarage/

 

      Kayman, Martin A. “The Short Story from Poe to Chesterton”. The Cambridge Companion to Crime Fiction. Ed. Martin Priestman. New York: Cambridge University Press, 2003, pp. 41–58.

 

      Seed, David. “Spy Fiction”. The Cambridge Companion to Crime Fiction. Ed. Martin Priestman. New York: Cambridge University Press, 2003, pp. 115–134.

 

Unit-3
Teaching Hours:10
From the Private to the Public Eye/I
 

From short stories to the novel form, crime fiction has become more elaborate in terms of how it reflects the society and culture of its setting. This unit delves into the emergence of the police officers in crime fiction narrative as a public figure as opposed to the private detective. Concepts of policing system and jurisprudence will be discussed here along with social issues related to race, gender, class as reflected in the texts.

 

 

 

Reading:

 

 

 

      Keigo Higashino. Malice. 1996.

 

 

 

Suggested Readings

 

 

 

      Rendell, Ruth. Simisola. New York: Kingsmarkham Enterprises Ltd, Dell Publishing, 1995.

 

      Dove, George N. The Police Procedural. Ohio: Bowling Green University Popular Press, 1982.

 

      James, P.D. “The Art of the Detective Novel”. Journal of the Royal Society of Arts, vol. 133, no. 5349, 1985, pp. 637–649. Web. https://www.jstor.org/stable/41374015

 

      ---, Talking About Detective Fiction. New York: Vintage Books, 2009.

 

      ---, “P.D. James: ‘Some People Find Conventions Liberating’”. Interview by Sarah Crown. YouTube, uploaded by The Guardian, 6 August 2010. Web. https://www.youtube.com/watch?v=EAECcqmDTaM

 

      Knight, Stephen. Crime Fiction, 1800-2000: Detection, Death, Diversity. New York: Palgrave Macmillan, 2004.

 

      Effron, Malcah. “Fictional Murders in Real “Mean Streets”: Detective Narratives and Authentic Urban Geographies”. Journal of Narrative Theory, vol. 39, no. 3, 2009, pp. 330–346. JSTOR: http://www.jstor.org/stable/41427212.

 

      Porter, Dennis. “The Private Eye”. The Cambridge Companion to Crime Fiction. Ed. Martin Priestman. New York: Cambridge University Press, 2003, pp. 95–114.

 

      Kadonaga, Lisa. “Strange Countries and Secret Worlds in Ruth Rendell’s Crime Novels”. Geographical Review, vol. 88, no. 3, 1998, pp. 413–428. Web. http://www.jstor.org/stable/216017.

 

      Erdmann, Eva. “Nationality International: Detective Fiction in the Late Twentieth Century”. Investigating Identities: Questions of Identity in Contemporary International Crime Fiction. Eds. Marieke Krajenbrink and Kate M. Quinn. Amsterdam: Rodopi, 2009, pp. 11–26.

 

      Mills, Rebecca. “Victims”. The Routledge Companion to Crime Fiction. Eds. Janice Allan, Jesper Gulddal, Stewart King and Andrew Pepper. London and New York: Routledge, 2020, pp. 149–158

 

      Close, Glen S. Female Corpses in Crime Fiction: A Transatlantic Perspective. USA: Palgrave Macmillan, 2018. DOI: 10.1007/978-3-319-99013-2.

 

      Lloyd, Joanne Reardon. “Talking to the Dead – The Voice of the Victim in Crime Fiction”. New Writing: The International Journal for the Practice and Theory of Creative Writing, vol. 11, no. 1, 2014, pp. 100–108. DOI: 10.1080/14790726.2013.871295.

 

Unit-4
Teaching Hours:10
Crime Fiction and the Digital Space
 

Crime Fiction has transcended space in terms of geographies and become a global literature, but has also grown beyond the textual space to the digital. Many of them include adaptations of novels. The genre is gaining popularity in the form of films, television and web series and is widely watched on OTT platforms today.

 

 

 

Content:

 

 

 

      Alfred Hitchcock’s Rear Window

 

      Animated Series: Tantei Gauken Kyu (select episodes)

 

      Web series: Paatal Lok (select episodes)

 

 

 

 

 

Suggested Content

 

      Jonathan Demme’s Silence of the Lambs (1991)

 

      Steven Spielberg’s Catch me if you can (2002)

 

      The Pink Panther series

 

      David Fincher’s The Girl with a Dragon Tattoo (2011) (Adaptation of Steig Larsson)

 

      Abrid Shine’s Action Hero Biju (2016)

 

      Byomkesh Bakshi series

 

      The Godfather Trilogy

 

      Scorsese’s Goodfellas (1990)

 

 

 

Suggested Reading

 

      Unur, Ayşegül Kesirli. “Representing Female Detectives in Turkish Police Procedurals”. Television in Turkey: Local Production, Transnational Expansion and Political Aspirations. Eds. Yeşim Kaptan and Ece Algan. Switzerland: Palgrave Macmillan, 2020, pp. 125–148. DOI: 10.1007/978-3-030-4601-8_7

 

      Berglund, Karl. “With a Global Market in Mind: Agents, Authors, and the Dissemination of Contemporary Swedish Crime Fiction.” In Crime Fiction as World Literature, edited by Louise Nilsson, David Damrosch, and Theo D’haen. New York: Bloomsbury, 2017.

 

      Boltanski, Luc. Mysteries and Conspiracies: Detective Stories, Spy Novels and the Making of Modern Societies. Translated by Catherine Porter. Cambridge: Polity, 2014.

 

      Charlotte Beyer. ““Death of the Author”: Maj Sjöwall and Per Wahlöö’s Police Procedurals”. Cross-Cultural Connections in Crime Fictions. Ed. Vivien Miller and Helen Oakley. UK: Palgrave Macmillan, 2012, pp. 141–159. DOI: 10.1057/978117016768.

 

      Farish, Matthew. “Cities in Shade: Urban Geography and the Uses of Noir”. Environment and Planning D: Society and Space, vol 23, 2005, pp. 95–118. DOI: 10.1068/d185

 

      Schmid, David. “From the Locked Room to the Globe: Space in Crime Fiction”. Cross Cultural Connections in Crime Fiction. Eds. Miller V and Oakley H. London: Palgrave Macmillan, 2012, pp. 7–23. DOI: https://doi.org/10.1057/9781137016768_2

 

Text Books And Reference Books:

      Beccaria, C. (1764). An essay on crime and punishments. The Portable Enlightenment Reader, 525-532. Ed. Isaac Kramnick. USA: Penguin Books, 1995. Print.

 

      Bentham, J. (1789). Cases unmeet for punishment. The Portable Enlightenment Reader, 541-546. Ed. Isaac Kramnick. USA: Penguin Books, 1995. Print.

      Todorov, Tzvetan. “The Typology of Detective Fiction”. Poetics of Prose. 1966.

 

      Edgar Allan Poe. “The Murders in the Rue Morgue”. 1841.

 

      Arthur Conan Doyle. “A Scandal in Bohemia”. 1891.

      Keigo Higashino. Malice. 1996.

      Alfred Hitchcock’s Rear Window

 

      Animated Series: Tantei Gauken Kyu (select episodes)

      Web series: Paatal Lok (select episodes)

 

Essential Reading / Recommended Reading

      Althusser, Louis. "Ideology and ideological state apparatuses (notes towards an investigation) (1970)." Cultural theory: an Anthology (2010): 204-222.

 

      Foucault, Michel. “Discipline and Punish”.  Readings in the Theory of Religion. Routledge, 2016. 549-566.

 

      Dostoevsky.  Crime and Punishment.

      SS Van Dine’s “Twenty Rules of Writing Detective Stories” (1928)

 

      Sophocles’ Oedipus Rex

 

      Select folk tales of Charles Perrault and Grimm Brothers.

 

      Arthur Conan Doyle “The Red Headed League”. 1891. ​The Adventures of Sherlock Holmes. Project Gutenberg, EBook, 2002. 18-33

 

      Scaggs, John. Crime Fiction: A New Critical Idiom. Oxon: Routledge, 2005

 

      Wilder, Ursula M. “Odysseus, the Archetypal Spy”. International Journal of Intelligence and CounterIntelligence, 2021, pp. 1–17. DOI: 10.1080/08850607.2020.1847517.

 

      Auden, W. H. “The Guilty Vicarage: Notes on the Detective Story, by an Addict”. Harper’s Magazine. May 1948 issue. Web. https://harpers.org/archive/1948/05/the-guiltyvicarage/

 

      Kayman, Martin A. “The Short Story from Poe to Chesterton”. The Cambridge Companion to Crime Fiction. Ed. Martin Priestman. New York: Cambridge University Press, 2003, pp. 41–58.

 

      Seed, David. “Spy Fiction”. The Cambridge Companion to Crime Fiction. Ed. Martin Priestman. New York: Cambridge University Press, 2003, pp. 115–134.

 

 

      Rendell, Ruth. Simisola. New York: Kingsmarkham Enterprises Ltd, Dell Publishing, 1995.

 

      Dove, George N. The Police Procedural. Ohio: Bowling Green University Popular Press, 1982.

 

      James, P.D. “The Art of the Detective Novel”. Journal of the Royal Society of Arts, vol. 133, no. 5349, 1985, pp. 637–649. Web. https://www.jstor.org/stable/41374015

 

      ---, Talking About Detective Fiction. New York: Vintage Books, 2009.

 

      ---, “P.D. James: ‘Some People Find Conventions Liberating’”. Interview by Sarah Crown. YouTube, uploaded by The Guardian, 6 August 2010. Web. https://www.youtube.com/watch?v=EAECcqmDTaM

 

      Knight, Stephen. Crime Fiction, 1800-2000: Detection, Death, Diversity. New York: Palgrave Macmillan, 2004.

 

      Effron, Malcah. “Fictional Murders in Real “Mean Streets”: Detective Narratives and Authentic Urban Geographies”. Journal of Narrative Theory, vol. 39, no. 3, 2009, pp. 330–346. JSTOR: http://www.jstor.org/stable/41427212.

 

      Porter, Dennis. “The Private Eye”. The Cambridge Companion to Crime Fiction. Ed. Martin Priestman. New York: Cambridge University Press, 2003, pp. 95–114.

 

      Kadonaga, Lisa. “Strange Countries and Secret Worlds in Ruth Rendell’s Crime Novels”. Geographical Review, vol. 88, no. 3, 1998, pp. 413–428. Web. http://www.jstor.org/stable/216017.

 

      Erdmann, Eva. “Nationality International: Detective Fiction in the Late Twentieth Century”. Investigating Identities: Questions of Identity in Contemporary International Crime Fiction. Eds. Marieke Krajenbrink and Kate M. Quinn. Amsterdam: Rodopi, 2009, pp. 11–26.

 

      Mills, Rebecca. “Victims”. The Routledge Companion to Crime Fiction. Eds. Janice Allan, Jesper Gulddal, Stewart King and Andrew Pepper. London and New York: Routledge, 2020, pp. 149–158

 

      Close, Glen S. Female Corpses in Crime Fiction: A Transatlantic Perspective. USA: Palgrave Macmillan, 2018. DOI: 10.1007/978-3-319-99013-2.

 

      Lloyd, Joanne Reardon. “Talking to the Dead – The Voice of the Victim in Crime Fiction”. New Writing: The International Journal for the Practice and Theory of Creative Writing, vol. 11, no. 1, 2014, pp. 100–108. DOI: 10.1080/14790726.2013.871295.

      Unur, Ayşegül Kesirli. “Representing Female Detectives in Turkish Police Procedurals”. Television in Turkey: Local Production, Transnational Expansion and Political Aspirations. Eds. Yeşim Kaptan and Ece Algan. Switzerland: Palgrave Macmillan, 2020, pp. 125–148. DOI: 10.1007/978-3-030-4601-8_7

 

      Berglund, Karl. “With a Global Market in Mind: Agents, Authors, and the Dissemination of Contemporary Swedish Crime Fiction.” In Crime Fiction as World Literature, edited by Louise Nilsson, David Damrosch, and Theo D’haen. New York: Bloomsbury, 2017.

 

      Boltanski, Luc. Mysteries and Conspiracies: Detective Stories, Spy Novels and the Making of Modern Societies. Translated by Catherine Porter. Cambridge: Polity, 2014.

 

      Charlotte Beyer. ““Death of the Author”: Maj Sjöwall and Per Wahlöö’s Police Procedurals”. Cross-Cultural Connections in Crime Fictions. Ed. Vivien Miller and Helen Oakley. UK: Palgrave Macmillan, 2012, pp. 141–159. DOI: 10.1057/978117016768.

 

      Farish, Matthew. “Cities in Shade: Urban Geography and the Uses of Noir”. Environment and Planning D: Society and Space, vol 23, 2005, pp. 95–118. DOI: 10.1068/d185

 

      Schmid, David. “From the Locked Room to the Globe: Space in Crime Fiction”. Cross Cultural Connections in Crime Fiction. Eds. Miller V and Oakley H. London: Palgrave Macmillan, 2012, pp. 7–23. DOI: https://doi.org/10.1057/9781137016768_2

 

Evaluation Pattern

CIA 1: Assignment (20 marks)

 

CIA 2: Presentation (20 marks)

 

CIA 3: Term Paper Submission (50 marks)

LAW144 - ENVIRONMENTAL LAW (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The present decline in environmental quality calls for a stricter enforcement of laws relating to protection of environment. The objective of this course is to give an insight into various legislations that has been enacted in our country for protection of environment and also to create awareness among the citizens of the country about the duties cast on them under various legislations in relation to protection of environment.

 

Course Objectives:

  • To impart an in-depth knowledge of environmental legislations to students from diverse backgrounds.
  • To interpret, analyse and make a critique of the legislations and Case laws relating to environment
  • To provide a brief understanding of various developments that has taken place at international level to check various environmental harms.

Learning Outcome

CO1: learn about environmental law

C02: make students environmentally conscious

Unit-1
Teaching Hours:5
INTRODUCTION
 

INTRODUCTION

Unit-2
Teaching Hours:5
INDIAN CONSTITUTION AND ENVIRONMENT
 

INDIAN CONSTITUTION AND ENVIRONMENT

Unit-3
Teaching Hours:5
JUDICIAL REMEDIES AND PROCEDURES AVAILABLE FOR ABATEMENT OF ENVIRONMENTAL POLLUTION
 

JUDICIAL REMEDIES AND PROCEDURES AVAILABLE FOR ABATEMENT OF ENVIRONMENTAL POLLUTION

Unit-4
Teaching Hours:5
ENVIRONMENT (PROTECTION) ACT, 1986
 

ENVIRONMENT (PROTECTION) ACT, 1986

Unit-5
Teaching Hours:5
ENVIRONMENT (PROTECTION) ACT, 1986
 

ENVIRONMENT (PROTECTION) ACT, 1986

Unit-6
Teaching Hours:5
WATER (PREVENTION AND CONTROL OF POLLUTION) ACT 1974
 

WATER (PREVENTION AND CONTROL OF POLLUTION) ACT 1974

Unit-7
Teaching Hours:5
FORESTS AND CONSERVATION LAWS
 

FORESTS AND CONSERVATION LAWS

Unit-8
Teaching Hours:5
WILD LIFE PROTECTION AND THE LAW
 

 WILD LIFE PROTECTION AND THE LAW

Unit-9
Teaching Hours:5
INTERNATIONAL DEVELOPMENTS FOR PROTECTION OF ENVIRONMENT
 

INTERNATIONAL DEVELOPMENTS FOR PROTECTION OF ENVIRONMENT

Text Books And Reference Books:

MC Mehta Enviromental Law Book

Essential Reading / Recommended Reading

MC Mehta Enviromental Law Book

Evaluation Pattern

Class Discussion: 50 Marks

MCQ exam: 50 Marks

MAT121-1N - FOUNDATION OF MATHEMATICS (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course aims at introducing the students into the world of Mathematics. It includes topics like Set Theory, Functions, Relations, matrices and lattices. They gain a historical perspective of the development of modern mathematics and application of the same in the field of Computer Science.

This course will help the learner to be proficient in the topics set theory, functions and relations. It will enhance the problems solving skills in set theory, functions, relations, sequences, series and matrices.

Learning Outcome

CO1: Understand the notion of Sets, mathematical proofs, combinatorics and relations functions. Students will be able to apply them in problem solving.

CO2: Demonstrate the use of mathematical reasoning by justifying and generalizing patterns and relations

C03: understand the methods and problem solving techniques of discrete mathematics.

Unit-1
Teaching Hours:12
Set Theory and Counting Principles
 

Set Theory-Introduction- Combination of sets-Set Identities. Mathematical Induction-inclusion and exclusion- pigeon-hole principle- permutation- combination- summations.

Unit-2
Teaching Hours:12
Relations and functions
 

Relations and Products- Functions as Relations- Relations on a Set-Properties of Relations: reflexive-irreflexive-symmetric-asymmetric-antisymmetric, transitive- inverse. One-to-One and onto functions-One to one correspondence-Inverse functions and compositions of functions- Graphs of functions-Floor-ceiling-greatest Integer functions.

Unit-3
Teaching Hours:12
Applications of Functions and Theory of Matrices
 

Sequences and Summations, Cardinality of Sets, Matrices

Unit-4
Teaching Hours:12
Propositional and Predicate Logic
 

Propositional Logic, Applications of Propositional Logic, Propositional Equivalences, Predicates and Quantifiers.

Unit-5
Teaching Hours:12
Lattices
 

Partially ordered set, lattices and their properties, duality principle, lattice homomorphisms, product lattices, modular and distributive lattices, Boolean lattices.

Text Books And Reference Books:

[1]K. H. Rosen- Discrete Mathematics and its Applications- 7th ed.- McGraw – Hill- 2012.

[2]Floyd- Thomas L: Digital Computer Fundamentals- 11th Edition- Pearson International- 2015

Essential Reading / Recommended Reading

[1] R.P. Grimaldi and B.V. Ramana- Discrete and Combinatorial Mathematics- An applied introduction- 5th ed.- Pearson Education- 2007.

[2] R.P. Grimaldi- Discrete and Combinatorial Mathematics- Addison Wesley, 5th ed., 2004.

[3] D. S. Chandrasekharaiah- Discrete Mathematical Structures- 6th ed.- India: PRISM Book Pvt. Ltd.- 2019.

[4] J. P. Tremblay and R. Manohar- Discrete Mathematical Structures with Application to Computer Science- Reprint- India: Tata McGraw Hill Education- 2008.

[5] . Liu and Mohapatra- “Elements of Discrete Mathematics”- McGraw Hill, 4th ed., 2017.

Evaluation Pattern

CIA: 50%

ESE: 50%

MED141-1N - MEDIA AND SOCIAL MOVEMENTS (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

 

This course explores the intricate relationship between media and social movements, examining how media platforms and technologies have shaped the formation, mobilization, and impact of contemporary social movements. Through an interdisciplinary lens, students will analyze the role of media in fostering collective action, amplifying marginalized voices, and challenging power structures. They will critically examine various forms of media, including traditional news outlets, social media platforms, and alternative media, and investigate their influence on activism, protest, and social change. Drawing on case studies from around the world, students will gain insights into the complexities of media representation, framing, and manipulation, as well as strategies employed by social movements to harness media for their causes. By the end of the course, students will develop a nuanced understanding of the dynamic interplay between media and social movements in the contemporary global context.

Learning Outcome

CO1: Understand the theoretical frameworks and key concepts related to media and its role in social movements, including media framing, agenda-setting, and the construction of collective identities.

CO2: Analyze the ways in which traditional media outlets, social media platforms, and alternative media contribute to the formation, mobilization, and impact of social movements.

CO3: Critically evaluate the relationship between media representation and social movements exploring issues of visibility, inclusion, and the amplification of marginalized voices.

CO4: Examine case studies of successful and unsuccessful media strategies employed by social movements, and assess their effectiveness in achieving their goals

CO5: Develop the skills to analyze and interpret media content, including news articles, documentaries, and social media campaigns, to identify biases, manipulation, and alternative narratives surrounding social movements.

Unit-1
Teaching Hours:12
Media and Society
 

This chapter defines the symbiotic relationship between media and society. Though the relevance of contemporary media activism has its roots back over a half-century or more, they each have a unique essence in today’s emerging ‘global’ era. The initial restrictions on media activism have not altogether diminished but these restrictions have been transformed by the ever-expanding possibilities of connection and coordination. Media activism today emerges as a global phenomenon in a newer form that involves synchronized protests worldwide for global inclusive justice involving diverse lengths of movements. In this increasingly globalization of mass media be it television, press or digital media, the information flow of ideas is gigantic marked by the proliferation of the internet offering newer means of opportunities and modes of direct communication to the social and political actors.

  • Media and the Global Public Sphere
  • Representation of Gender, Public Sphere, Ethnicity and Subaltern groups
  • Ideology and Hegemony in Media
  • Media and Globalization: Trends and Challenges.
Unit-2
Teaching Hours:12
Media and Social Activism
 

In the first decade of the twenty-first century, global politics seem to be provoked due to the aggressive encounter between authoritative states and armed groups.The veil behind these conflicts consists of several kinds of actors at work in society all over the world. Forms of peaceful protests marked by social and political changes have permeated all spaces and spheres of social life across regions. Activism involves both local and international power structures and attempts to offer recourse to the politics of oppression.

Activist politics are spread across various forms of movements, networks, organizations and websites. They persuade ‘mainstream’ politics over significant global issues like trade, gender relations and the environment.  It is this relationship among actors, agency and structure that has been the focus of study of this chapter.

  • Media as an Advocacy and Campaign Tool
  • Global Activism and Activist Media 
  • Use of Traditional/Folk Media for Advocacy/Campaigns
  • Activism in the Print and Electronic Platforms 
  • Activism in the Digital Space
Unit-3
Teaching Hours:12
Media and Social Movements-Case Studies
 

We live in a period where politics is communication, be it politicians’ manifestos, pressure groups propaganda or peaceful protests - all make their attempts to gear their communication in reaching people as a mass. All political conflicts occur majorly within and through organized media of communication, but these are much more diverse than the term ‘mass media’ implies. Direct communication takes place from political actors to audiences in media that actors themselves define. It is indirect, when it travels through formal media institutions. In the twenty-first century, transformations of communications technology offer many radical new possibilities of communication between these varied forms of actors and the masses. The chapter undertakes all the diverse case studies in media activism in relation to democracy, corruption, gender equality, race, economic justice, and environmental issues.

  • Arab Spring
  • India Against Corruption
  • #MeToo
  • #BlackLivesMatter
  • Occupy Wall Street
  • Greta Thunberg
  • Malala Yousafzai
Unit-4
Teaching Hours:9
Project Management and Presentation
 

 

  • Planning, Scheduling, and Budgeting for Digital/Social Media Campaigns
  • Networking for Social Media Campaigns
  • Final Project and Presentation (Students will undertake a social media campaign on a local/regional social/development issue and present their work)
Text Books And Reference Books:
  • Castells, M. (2015). Networks of outrage and hope: Social movements in the Internet age. John  Wiley & Sons.
  • Della Porta, D., & Diani, M. (2015). Social movements: An introduction. John Wiley & Sons.
  • Earl, J., & Kimport, K. (2011). Digitally enabled social change: Activism in the Internet age. MIT  Press.
  • McCurdy, P. (2019). Social media and social movements: The transformative power of hashtag  activism. Rowman & Littlefield.
Essential Reading / Recommended Reading
  • Bennett, W. L., & Segerberg, A. (2012). The logic of connective action: Digital media and the personalization of contentious politics. Information, Communication & Society, 15(5), 739-768.
  • Gerbaudo, P. (2012). Tweets and the streets: social media and contemporary activism. Pluto Press.
  • Couldry, N., & Cammaerts, B. (2018). Global voices: Media and social change. Routledge.
  • Gerhards, J., & Schäfer, M. S. (2010). Is the Internet a better public sphere? Comparing old and new media in the US and Germany. New Media & Society, 12(1), 143-160.
  • Jenkins, H., Ford, S., & Green, J. (2013). Spreadable media: Creating value and meaning in a  networked culture. NYU Press.
  • Tilly, C. (2015). Contentious performances. Cambridge University Press.
Evaluation Pattern
  • CIA 1   Assignment    10 marks (conducted out of 20 )
  • CIA 2   Presentation  10 marks (conducted out of 20 )
  • CIA 3   Project            25 marks (conducted out of 50 ) 
  • Attendance 5 marks (system calculate out of 10)
  • Total 50 Marks

 

POL142-1N - GLOBAL POWER AND POLITICS (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

This course has been conceptualized in order to introduce the students to the study of international relations. It introduces students to major theoretical approaches to understand international politics and diplomacy.

 To introduce the students to:

       The nature, scope and importance of International Relations/Politics

       The basic concepts of International Relations such as Sovereignty, Security, balance of Power etc.

       The contemporary global issues

Learning Outcome

CO1: Demonstrate an understanding of the various concepts in international relations and approaches to studying IR.

CO2: Analyze global issues by understanding the background for the issues.

CO3: Analyze the relations between nations and the formation of international organizations

CO4: Demonstrate an understanding of the impact of international issues on domestic policies.

Unit-1
Teaching Hours:10
Introduction to International Relations
 

International Relations: Meaning, nature and scope of international relations;

 

Key Concepts of International Relations: Sovereignty (territorial sovereignty), Balance of Power, National Power, Security and Globalization.

Unit-2
Teaching Hours:10
Theorization of Great Power in International Relations
 

Theories of International Relations: Realism (Classical Realism and Neo-Realism), Liberalism (Neoliberalism), Constructivism.

Unit-3
Teaching Hours:9
Great Power Politics in 20th Century
 

First World War, Second World War: Causes and Consequences, dynamics of strategic interaction between the great powers including the alliances, Inter war period (multipolarity), the Cold War (bipolarity) and the post-Cold War period (unipolarity).

Unit-4
Teaching Hours:8
Power Shifts in the Post-Cold War
 

Power shifts in the post-Cold War international system, Great Powers: traditional and non-traditional security threats, Emergence of new powers (rise of China and India as a challenge to the west).

Unit-5
Teaching Hours:8
Contemporary Global Issues
 

Environmental Issues, Terrorism, Human Security, Migration.

Text Books And Reference Books:

J. Baylis, S. Smith and P. Owens (eds.) (1997) Globalization of World Politics, New York: Oxford University Press.

Goldstein, Joshua S, and Jon C. Pevehouse. (2012) International Relations. Boston: Pearson Longman.

Basu, Rumki. (2010) International Politics: Concepts, Theories and Issues. New Delhi: SAGE Publications.

H. Andrew, Ben Whitham (2011) Global Politics, Bloomsbury.

Ghai, K.K. (2005). International Relations: Theory and Practice of International Politics. New Delhi: Kalyani.

Essential Reading / Recommended Reading

Mansbach R. and K. Taylor, (2008) Introduction to Global Politics. New York: Routledge, pp. 2-32.

Carter, N. (2007) The Politics of Environment: Ideas, Activism, Policy. Cambridge: Cambridge University Press, pp. 13-81.

Waltz, K. (1979). Theory of International Politics. Illinois: Waveland Press (reissued 2010).

Morgenthau, Hans J. (1948) Politics Among Nations: The Struggle for Power and Peace. New York: A.A. Knopf.

Evaluation Pattern
  • ·  CIA 1  10 marks (conducted out of 20 )

    ·  CIA 2 10 marks (conducted out of 20 )

    ·  CIA 3 25 marks (conducted out of 50 ) 

    ·  Attendance 5 marks (system calculate out of 10)

SOC141-1N - YOUTH AND POPULAR CULTURE (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

This course is designed to address the changing ideas of the conceptualisation of youth in contemporary times in relation to popular culture. It explores the question of the formation of youth identity in popular culture and the debates challenging the dominant idea of youth identity in popular culture through the lens of gender, caste, class and minorities. The course takes up the case study of social media as the particular site mediating popular culture to explore these questions of youth identity formation as usage of social media by young people is increasing, especially in countries like India which has one of the highest populations of youth in the world. Popular culture and media are intertwined and social media has emerged as a phenomenon of popular culture which shapes youth identity either by mobilising youth in a powerful way in favour of dominant socio-political norms or social movements which challenge the dominant socio-political trends. In recent times, the participation of youth in electoral politics through social media has multiplied phenomenally in India shaping the nature of engagement of youth with popular culture. The conceptualisation of youth as a democratic dividend has implications for defining the relationship between youth and social media in relation to popular culture. Similarly, conceptualisation of youth as a subculture is constitutive of the relationship between youth and media. Thus, the case study of social media will be linking the theoretical conceptualisations with the empirical phenomena.

Learning Outcome

CO1: Students will be able to define theoretical conceptualisation of youth and its changing nature in the contemporary world in relation to popular culture

CO2: Students will be able to demonstrate critical understanding with regard to the dominant identity of youth in popular culture

CO3: Students will be able to evaluate the subculture in Indian society.

CO4: Students will be able to critically understand the role of social media in mobilising youth in favour or against the dominant socio-political norms.

CO5: Students will be able to analyse the popular culture through the lens of caste, gender, class and minority.

Unit-1
Teaching Hours:20
UNIT 1 Conceptual Issues
 

 1.1 Youth as a Cultural Category

1.2 Youth as Demographic Dividend

1.3 Youth as Democratic Dividend

1.4 Youth as Subculture

Unit-2
Teaching Hours:15
Unit II: Rethinking Youth Identity in Popular Culture
 

2.1 Caste: Dalit Youth and Popular Culture

2.2 Class: Rethinking the Youth from Class Perspective

2.3 Gender: Addressing the Gendered Idea of Youth and Popular Culture

Unit-3
Teaching Hours:10
UNIT 3 Case Study - Youth and Social Media
 

3.1 Social Media, Youth and and Dominant Socio-Political Norms

3.2 Social Media, Youth and Social Movements

Text Books And Reference Books:

·         Keniston, Kenneth (1970). Youth: A "New" Stage of life. The American Scholar, 39 (4), 631- 654.

·         Mead, M. (1928). Coming of Age in Samoa: A Psychological Study of Primitive Youth for West.

·         Chandrasekhar, C. P., J. Ghosh, & A. Roychowdhury. (2006). The 'Demographic Dividend' and Young India's Economic Future’, Economic and Political Weekly, 41 (49), 5055-5064.

·         James, K. S. (2008). Glorifying Malthus: Current Debate on 'Demographic Dividend' in India. Economic and Political Weekly, 43(25). 63-69.

·         National Population Policy of India 2000.

·         Hall, Stuart and Tony Jefferson (1976), (Ed.), Resistance through Rituals: Youth Subcultures in Post-War Britain. Routledge: London & New York. pp. 9-79.

·         Hebdige D. (1979). Subculture: the Meaning of Style. London: Methuen. pp.1-22. McRobbie, Angela (1991). Settling Accounts with Subculture: A Feminist Critique. Feminism and Youth Culture, 16-34.

·         Wyn, Johanna and White, Rob. (1997). Rethinking Youth, Allen & Unwin Pty Ltd.

·         Stephen, Cynthia. (2022). ‘Popular Culture and Caste: The Three Indias’, Economic and Political Weekly. Volume 57, Issue 9.

·         Kumar, Vijay. (2020). ‘5 Dalit Artists Challenging Casteism Through Music, Films and Literature’, Feminism in India.com (https://feminisminindia.com/2020/04/15/dalit-artists-challenging-casteism-music-films-literatur e/)

·         Kumar, Nitish. (2021). Social Media, Dalits and Politics of Presence: An Anlalysis of the Presence of Dalit Voices in the Indian Media. Social and Political Research Foundation. (https://sprf.in/wp-content/uploads/2021/12/SPRF-2021_Dalit-Media_Final.pdf)

·         Mukhopadhyay, S and Mazumdar, S. (2020). ‘Echoing Global Marginalised Voices: A Study of Rap Music in India’, Heritage Times. (https://www.heritagetimes.in/echoing-global-marginalised-voices-a-study-of-rap-music-in-india )

·         Samos, Sumeet. (2021). ‘Dalit Rap is India’s New Musical Vanguard’, Music Opinion. (https://www.frieze.com/article/dalit-rap-indias-new-musical-vanguard)

·          Ingole, Prashant. (2019). ‘Ambedkarite Protest Music and the Making of a “Counter Public”: An Overview’, Indian Cultural Forum. (https://indianculturalforum.in/2019/10/11/ambedkarite-protest-music-and-the-making-of-a-coun ter-public/)

·         Banaji, Shakuntala. (2014). ‘A Tale of Three Worlds: Young People, Media and Class in India’, LSE Research Online, http://eprints.lse.ac.uk/57563/1/__lse.ac.uk_storage_LIBRARY_Secondary_libfile_shared_repository_Content_Banaji%2C%20S_Tale%20of%20three%20worlds_Banaji%20_Tale%20of%203 %20worlds_2014.pdf

·         Cohen, P. (1972). Rethinking the Youth Question: Education, Labour and Cultural Studies. Capital & Class, 23(3), 171-173.

·         Gooptu, Nandini (ed.). 2013. Enterprise Culture in Neoliberal India: Studies in Youth, Class, Work and Media. Routledge.

·         Lukose, Ritty (2005). Consuming Globalization: Youth and Gender in Kerala, India. Journal of Social History. 38 (4), 915-935.

·         O’Connor, Laura. (2020). ‘Digital Activism and The Increased Role of Dalit Activism in Intersectional Feminism in India’, The Undergraduate Journal of Politics, Policy and Society (UJPPS), Vol. 3, No.1. (https://www.ujpps.com/index.php/ujpps/article/view/99)

·          Kujat, Christopher Norman. (2016). ‘Can the Subaltern Tweet?: A Netnography of India’s Subaltern Voices Entering the Public via Social Media’, http://www.diva-portal.org/smash/get/diva2:1483945/FULLTEXT01.pdf

·         Udupa, Sahana. (2017). ‘Gaali Cultures: The politics of abusive exchange on social media’, New Media & Society 20(4): 1506-1522.

·         Jamil, Ghazala. (2022). ‘Tech-mediated Misogyny and Communal Vitriol’, Economic and Political Weekly, Volume 57, Issue 3.

·         Kumar, Rajesh and Thapa, Devam. (2014). ‘Social media as a catalyst for civil society movements in India: A study in Dehradun city’, New Media & Society. Volume: 17 issue: 8, page(s): 1299-1316.

·         Sonkar, Madhulika; Soorma, Ishita and Akanksha, Sreshtha. (2020). ‘Social Media and the Mobilization of Collective Action on Sexual Violence against Women: A Case Study of the ‘#MeToo’ Movement in India’, Vantage: Journal of Thematic Analysis, Volume 1, Issue 1. (http://maitreyi.ac.in/Datafiles/cms/2021/vantage%202021%20new/7.%20MeToo%20paper.pdf)

Essential Reading / Recommended Reading

·         Keniston, Kenneth (1970). Youth: A "New" Stage of life. The American Scholar, 39 (4), 631- 654.

·         Mead, M. (1928). Coming of Age in Samoa: A Psychological Study of Primitive Youth for West.

·         Chandrasekhar, C. P., J. Ghosh, & A. Roychowdhury. (2006). The 'Demographic Dividend' and Young India's Economic Future’, Economic and Political Weekly, 41 (49), 5055-5064.

·         James, K. S. (2008). Glorifying Malthus: Current Debate on 'Demographic Dividend' in India. Economic and Political Weekly, 43(25). 63-69.

·         National Population Policy of India 2000.

·         Hall, Stuart and Tony Jefferson (1976), (Ed.), Resistance through Rituals: Youth Subcultures in Post-War Britain. Routledge: London & New York. pp. 9-79.

·         Hebdige D. (1979). Subculture: the Meaning of Style. London: Methuen. pp.1-22. McRobbie, Angela (1991). Settling Accounts with Subculture: A Feminist Critique. Feminism and Youth Culture, 16-34.

·         Wyn, Johanna and White, Rob. (1997). Rethinking Youth, Allen & Unwin Pty Ltd.

·         Stephen, Cynthia. (2022). ‘Popular Culture and Caste: The Three Indias’, Economic and Political Weekly. Volume 57, Issue 9.

·         Kumar, Vijay. (2020). ‘5 Dalit Artists Challenging Casteism Through Music, Films and Literature’, Feminism in India.com (https://feminisminindia.com/2020/04/15/dalit-artists-challenging-casteism-music-films-literatur e/)

·         Kumar, Nitish. (2021). Social Media, Dalits and Politics of Presence: An Anlalysis of the Presence of Dalit Voices in the Indian Media. Social and Political Research Foundation. (https://sprf.in/wp-content/uploads/2021/12/SPRF-2021_Dalit-Media_Final.pdf)

·         Mukhopadhyay, S and Mazumdar, S. (2020). ‘Echoing Global Marginalised Voices: A Study of Rap Music in India’, Heritage Times. (https://www.heritagetimes.in/echoing-global-marginalised-voices-a-study-of-rap-music-in-india )

·         Samos, Sumeet. (2021). ‘Dalit Rap is India’s New Musical Vanguard’, Music Opinion. (https://www.frieze.com/article/dalit-rap-indias-new-musical-vanguard)

·          Ingole, Prashant. (2019). ‘Ambedkarite Protest Music and the Making of a “Counter Public”: An Overview’, Indian Cultural Forum. (https://indianculturalforum.in/2019/10/11/ambedkarite-protest-music-and-the-making-of-a-coun ter-public/)

·         Banaji, Shakuntala. (2014). ‘A Tale of Three Worlds: Young People, Media and Class in India’, LSE Research Online, http://eprints.lse.ac.uk/57563/1/__lse.ac.uk_storage_LIBRARY_Secondary_libfile_shared_repository_Content_Banaji%2C%20S_Tale%20of%20three%20worlds_Banaji%20_Tale%20of%203 %20worlds_2014.pdf

·         Cohen, P. (1972). Rethinking the Youth Question: Education, Labour and Cultural Studies. Capital & Class, 23(3), 171-173.

·         Gooptu, Nandini (ed.). 2013. Enterprise Culture in Neoliberal India: Studies in Youth, Class, Work and Media. Routledge.

·         Lukose, Ritty (2005). Consuming Globalization: Youth and Gender in Kerala, India. Journal of Social History. 38 (4), 915-935.

·         O’Connor, Laura. (2020). ‘Digital Activism and The Increased Role of Dalit Activism in Intersectional Feminism in India’, The Undergraduate Journal of Politics, Policy and Society (UJPPS), Vol. 3, No.1. (https://www.ujpps.com/index.php/ujpps/article/view/99)

·          Kujat, Christopher Norman. (2016). ‘Can the Subaltern Tweet?: A Netnography of India’s Subaltern Voices Entering the Public via Social Media’, http://www.diva-portal.org/smash/get/diva2:1483945/FULLTEXT01.pdf

·         Udupa, Sahana. (2017). ‘Gaali Cultures: The politics of abusive exchange on social media’, New Media & Society 20(4): 1506-1522.

·         Jamil, Ghazala. (2022). ‘Tech-mediated Misogyny and Communal Vitriol’, Economic and Political Weekly, Volume 57, Issue 3.

·         Kumar, Rajesh and Thapa, Devam. (2014). ‘Social media as a catalyst for civil society movements in India: A study in Dehradun city’, New Media & Society. Volume: 17 issue: 8, page(s): 1299-1316.

·         Sonkar, Madhulika; Soorma, Ishita and Akanksha, Sreshtha. (2020). ‘Social Media and the Mobilization of Collective Action on Sexual Violence against Women: A Case Study of the ‘#MeToo’ Movement in India’, Vantage: Journal of Thematic Analysis, Volume 1, Issue 1. (http://maitreyi.ac.in/Datafiles/cms/2021/vantage%202021%20new/7.%20MeToo%20paper.pdf)

Evaluation Pattern
  • CIA 1  10 marks (conducted out of 20 )
  • CIA 2 10 marks (conducted out of 20 )
  • CIA 3 25 marks (conducted out of 50 ) 
  • Attendance 5 marks (system calculate out of 10)
  • Total 50 Marks

STA122-1N - DESCRIPTIVE STATISTICS AND PROBABILITY (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:04

Course Objectives/Course Description

 

This course is designed to introduce the basic concepts of statistics, presentation of data and descriptive measures. This course also introduces the concept of probability.

 

This course is designed to introduce the historical development of statistics- presentation of data- descriptive measures and fitting mathematical curves to the data. This course also introduces measurement of the relationship of quantitative and qualitative data and the concept of probability.  This course will enable students to understand and summarize the data, understand and apply the descriptive measures and probability for data analysis, implement theoretical concepts of descriptive measures and probability, study the relationship between variables.

Learning Outcome

CO1: Demonstrate the history of statistics, identify the type of data and present the data in various forms and summarize it using descriptive statistics.

CO2: Understand and apply the concept of correlation, association, regression analysis and infer its results.

CO3: Understand and apply the concept of probability.

Unit-1
Teaching Hours:10
Organization and Presentation of data
 

Origin and development of Statistics- Scope- limitations and misuse of statistics. Types of data: primary and secondary data- quantitative and qualitative data. Scales of Measurement: nominal- ordinal-ratio and interval. Discrete and continuous variables. Presentation of data by tables: construction of frequency distributions for discrete and continuous data- Graphical representation of a frequency distribution by histogram and frequency polygon- cumulative frequency distributions (inclusive and exclusive methods).

Unit-2
Teaching Hours:15
Descriptive Statistics
 

Measures of Location or Central Tendency: Arithmetic mean- Median- Mode- Geometric mean- Harmonic mean. Partition values: Quartiles- Deciles and Percentiles. Measures of Dispersion: Range, Mean deviation- Quartile deviation- Standard deviation- Coefficient of variation. Moments: measures of Skewness- Kurtosis. Box plot.

Unit-3
Teaching Hours:13
Correlation and Regression
 

Correlation: Scatter plot- Karl Pearson coefficient of correlation- Spearman's rank correlation coefficient- multiple and partial correlations (for 3 variates only). Regression: Concept of errors- Principles of Least Square- Simple linear regression and its properties.

Unit-4
Teaching Hours:12
Basics of Probability
 

Random experiment- sample point and sample space- event- algebra of events. Definition of Probability: classical- empirical and axiomatic approaches to probability- properties of probability. Theorems on probability- conditional probability and independent events- Laws of total probability- Baye’s theorem and its applications.

Unit-5
Teaching Hours:10
Association of Attributes
 

Relation between class frequencies- consistency of data- independence of attributes- criterion of independence- association of attributes: Yule’s Coefficient of association- Yule’s coefficient of colligation.

Text Books And Reference Books:

[1]   S.C. Gupta and V.K. Kapoor - Fundamentals of Mathematical Statistics- 12th ed.- Sultan Chand & Sons- New Delhi- 2020.

[2]   P. Mukhopadhyay.- Mathematical Statistics-3rd ed.- Books and Allied (P) Ltd- Kolkata- 2018.

Essential Reading / Recommended Reading

[1]   R.E. Walpole- R.H. Myers and S.L. Myers - Probability and Statistics for Engineers and Scientists-9th ed. -Pearson- New Delhi- 2017.

[2]   D.C. Montgomery and G.C. Runger- Applied Statistics and Probability for Engineers-7th ed.- Wiley India- New Delhi-2018.

[3]   B.L. Agarwal - Basic Statistics- 6th ed.- New Age International Publication- 2015.

[4]  V.K. Rohatgi and E. Saleh - An Introduction to Probability and Statistics- 3rd ed.- John Wiley & Sons Inc.- New Jersey- 2015.

Evaluation Pattern

CIA: 50%

ESE: 50%

 

BBA142AN - ADVERTISING AND SALES PROMOTION TECHNIQUES (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

The course aims at imparting knowledge on Marketing Management from the perspective of Marketing Communications.Great marketing strategies can be powerful. Every year companies spend approximately $200 billion promoting their products and services – and that’s just in the United States alone! Explore how marketing campaigns, ads, and commercials are brought to life which will lead the exploration of various aspects of Advertising and sales promotion techniques which includes its objectives, classification, creative aspect and functions. This course introduces students to the concepts and processes of marketing and takes them deeper into the world of marketing.

Course Objectives: This course intends

        Describe the history of the advertising industry and its relation to today’s marketplace.
        List the roles and responsibilities of various advertising, marketing, and promotions professionals.
       Develop students’ understanding and skill in development of communication strategy of a firm, particularly with advertising and sales promotions.

 

Learning Outcome

CO1: Understand fundamental concepts of Advertisement and Sales promotion.

CO2: Understand importance of Integrated Marketing Communications strategies.

CO3: Explain about creative Process in Advertisement and Sales Promotion

CO4: Critically examine and evaluate existing marketing strategies and tactics.

CO5: Learn to use sales promotions to push sales and attract buyers.

Unit-1
Teaching Hours:8
Introduction to Marketing Communication
 

Meaning, elements, structure, and role of marketing communications. Theories of marketing communication: hierarchy of effects of communication, information processing theories, Marketing Communication Process,communication and attitude formation and change. Key communication terminologies. Miscommunication issues.

Unit-2
Teaching Hours:6
Marketing Communication Strategy
 

Marketing communication mix. Integrated marketing communication. Formulation of marketing communication strategy. Marketing communication barriers. Communication budgeting issues and methods. Promotion campaign planning and management.

Unit-3
Teaching Hours:6
Advertising
 

Meaning, elements,Functions, objectives and role of advertising. Evolution of advertising. Types of advertising. Social, ethical and legal issues of advertising.Role of Advertising in 21st Century.

Unit-4
Teaching Hours:8
Creative Process and Methods in Advertising
 

Creative process and methods. Visualization process and visualizer qualities. Message design: message theme, models, considerations. Message strategies: cognitive, affective, conative, and brand strategies. Advertising appeals. Essentials of a good appeal. Execution frameworks. Use of color in advertising.

Unit-5
Teaching Hours:10
Advertisement Development
 

Print advertising media: types of media and media choice. Copywriting for print media: types of ad copies. Ad copy objectives and requisites of a good copy. Print copy development process. Print copy elements: choice of headline, sub-heads, body copy, slogan and signature. Layout: functions, qualities of a good layout, layout principles.Television advertising:  nature, pros and cons. TVC development: script writing, story board, air-time buying and other considerations. Radio advertising: nature, pros and cons. Producing radio advertisements. Emerging advertisements: internet advertising and ambient advertising. Product placement strategies.

Unit-6
Teaching Hours:7
Sales Promotions
 

Scope and role of sales promotions. Reasons for the increased use of sales promotions. Consumer-oriented sales promotion methods: objectives and tools of consumer promotions. Trade-oriented sales promotions: objectives,tools and techniques to boost sales.

Text Books And Reference Books:
  1. Belch George and Michael Belch, Advertising and Promotion, Tata McGraw Hill.
  2. William Wells, John Burnet, and Sandra Moriarty, Adverting Principles and Practice, Prentice Hall of India.
Essential Reading / Recommended Reading
  1. Jaishri Jethwaney and Shruti Jain, Advertising Management, Oxford University Press.
  2. K. D. Koirala, Marketing Communications, Buddha Publications.
  3. Advertising, Sales and Promotion Management, S.A.Chunawalla, Himalaya.
  4. Advertising Management, Jethwaney, Jain, Oxford.

      5.Integrated Advertising, Promotion and Marketing Communications, Clow, Baack, Pearson

Evaluation Pattern

CIA I : 10 MARKS

CIA II: 10 MARKS

CIA III: 25 MARKS

ATTENDANCE :   05 MARKS

BDA101-2N - DATA STRUCTURES USING PYTHON (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description

This course aims at introducing the students into the world of Mathematics. It includes the topic like

Set Theory, Functions, Relations, matrices and lattices. They gain a historical perspective of the

development of modern mathematics and application of the same in the field of Computer Science.

 

Course Objectives

This course will help the learner to be proficient in the topics set theory, functions and relations. It

will enhance the problems solving skills in set theory, functions, relations, sequences, series and

matrices.

Learning Outcome

CO1: Understand the notion of Sets, mathematical proofs, combinatorics and relations functions. Students will be able to apply them in problem solving.

CO2: Demonstrate the use of mathematical reasoning by justifying and generalizing patterns and relations

CO3: understand the methods and problem solving techniques of discrete mathematics.

Unit-1
Teaching Hours:9
Introduction
 

Introduction to data structures - Algorithms - Analysing algorithms - Complexity of algorithms-Growth of functions - Asymptotic Notations - Performance measurements - Arrays and Structures: Abstract Data Type- Dynamically Allocated Arrays- Structures- Unions- Polynomial Representation and Additions.

Unit-2
Teaching Hours:10
Linear Data Structures ? List
 

Linear Lists: Abstract Data Types (ADTs) – List ADT – array-based implementation linked list implementation –– singly linked lists- circularly linked lists- doubly-linked lists – applications of lists –Polynomial Manipulation – All operations.(Insertion, Deletion, Merge, Traversal)

Unit-3
Teaching Hours:13
Linear Data Structures ? Stacks, Queues
 

Stack ADT – Operations – Applications – Evaluating arithmetic expressions-Conversion of Infix to postfix expression – Queue ADT – Operations – Circular Queue- Priority Queue – deQueue – applications of queues.

Unit-3
Teaching Hours:13
Searching, Sorting and Hashing Techniques
 

Searching- Linear Search – Binary Search. Sorting – Bubble sort – Selection sort – Insertion sort – Merge Sort. Hashing- Hash Functions – Separate Chaining- Open Addressing – Rehashing – Extendible Hashing.

Unit-4
Teaching Hours:13
Non-Linear Data Structures -Graphs
 

Definition – Representation of Graph – Types of graph – Breadth-first traversal –Depth-first traversal –Applications of graphs.

Unit-4
Teaching Hours:13
Non-Linear Data Structures -Trees
 

Tree ADT – tree traversals – Binary Tree ADT – expression trees – applications of trees binary search tree ADT –Threaded Binary Trees- AVL Trees – B-Tree -B+ Tree – Heap– Applications of heap.

Text Books And Reference Books:

[1] K. H. Rosen- Discrete Mathematics and its Applications- 7th ed.- McGraw – Hill- 2012.

[2] Floyd- Thomas L: Digital Computer Fundamentals- 11th Edition- Pearson International-2015

Essential Reading / Recommended Reading

[1] R.P. Grimaldi and B.V. Ramana- Discrete and Combinatorial Mathematics- An applied introduction- 5th ed.- Pearson Education- 2007.

[2] R.P. Grimaldi- Discrete and Combinatorial Mathematics- Addison Wesley, 5th ed., 2004.

[3] D. S. Chandrasekharaiah- Discrete Mathematical Structures- 6th ed.-India: PRISM Book Pvt. Ltd.- 2019.

[4] J. P. Tremblay and R. Manohar- Discrete Mathematical Structures with Application to Computer Science- Reprint- India: Tata McGraw Hill Education- 2008.

[5] . Liu and Mohapatra- “Elements of Discrete Mathematics”- McGraw Hill, 4th ed., 2017.

Evaluation Pattern

CIA-50%

ESE- 50%

BDA102-2N - INTRODUCTION TO OPERATING SYSTEMS (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Objectives:

This course is an introduction to the concepts behind modern computer operating systems. Topics will include what an operating system does (and doesn't) do- system calls and interfaces- processes- resource scheduling and management (of the CPU- memory- etc.)- Virtual memory. To acquire the fundamental knowledge of the operating system architecture and its components.

Learning Outcome

CO1: Understand the basic working process of an operating system.

CO2: Understand the importance of process and scheduling.

CO3: Understand the issues in synchronization and memory management.

Unit-1
Teaching Hours:9
Introduction
 

Categories of Operating Systems- Computer-System Organization- Computer-System Architecture- Operating-System Structure- Operating-System Operations.

Unit-1
Teaching Hours:9
System Structures
 

Operating-System Services- User Operating-System Interface- System Calls- Types of System Calls-System Programs.

Unit-1
Teaching Hours:9
Process Management
 

Process Concept- Process Scheduling- Operations on Processes: process creation and termination - zombie and orphan process- Cooperating Processes- Inter-process Communication- Process related commands.

Unit-2
Teaching Hours:9
Scheduling and Synchronization
 

CPU Scheduling- Basic Concepts- Scheduling Criteria- Scheduling Algorithms- Thread Scheduling- Multiple-Processor Scheduling - The Critical-Section Problem - Peterson’s Solution - Synchronization Hardware - Semaphores - Classic problems of Synchronization - Multithreading models - threading issues.

Unit-3
Teaching Hours:10
Memory Management Strategies and Deadlocks
 

System Model- Deadlock Characterization- Methods for handling Deadlocks Neadlock Prevention- Deadlock avoidance- Deadlock detection- Recovery from Deadlocks - Swapping- Contiguous Memory allocation- Paging- Structure of the Page Table- Segmentation.

Unit-4
Teaching Hours:9
Virtual Memory Management
 

Demand Paging- Copy-on-Write- Page Replacement- page replacement algorithms- Allocation of frames- Thrashing.

Unit-4
Teaching Hours:9
File System
 

File Concept- Access Methods- Directory and Disk Structure- File System Mounting- File Sharing- Protection.

Unit-5
Teaching Hours:8
Implementing File Systems
 

File System Structure- File System Implementation- Directory Implementation- allocation Methods- Free-space Management.

Unit-5
Teaching Hours:8
Secondary Storage Structure
 

Disk Structure- Disk Attachment- Disk Scheduling- Disk Management and Swap-Space Management. Case study.

Text Books And Reference Books:

1. Silberschatz- P.B. Galvin and G. Gagne- Operating System Concepts.9th Edition- New Delhi: Wiley India- 2011.

Essential Reading / Recommended Reading

1. Stalling William- Operating Systems: Internals and Design Principles. 7th Edition - Prentice Hall-2011.

Evaluation Pattern

ESE- 50%

CIA - 50%

BDA111-2N - DATA STRUCTURE USING PYTHON LAB (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

Course Objectives:

This course will introduce the concepts of linear and non linear data structures which includes lists, stacks, and queues. The objective is to apply different data structures in various sorting and searching algorithms .

Learning Outcome

CO1: Design and develop algorithms using relevant data structure operations.

Unit-1
Teaching Hours:30
List of Programs
 

1. Implement creation, insertion, deletion, update in an array.

2. Implement concatenation of arrays , find the length of the arrays.

3. Implementation of Single Linked List performing the following operations

         (i)Creation (ii) insertion (iii) deletion (iv) traversal

4. Array implementation of Stacks and queues.

5. Implementation of Stack using Linked list.

6. Implementation of Queue using Linked list.

7. Implementation of linear search & Binary Search.

8. Implementation of Insertion sorting & selection sorting.

9. Implementation of merge sort.

10. Implementation of Binary Search Tree

        a. Create a binary search tree.

        b. Traverse the above binary search tree recursively in pre-order, post-order and in- order

        c. Count the number of nodes in the binary search tree.

11. Write Python programs to create a tree and implement the following graph traversal Algorithms

         a. Depth first search.

         b. Breadth first search

Text Books And Reference Books:

[1] Rance D. Necaise. “Data Structures and Algorithms Using Python” Hamilton Printing Company-2011.

Essential Reading / Recommended Reading

[1] Aho- Hopcraft- Ullman- “The Design and Analysis of Computer Algorithms” Pearson Education- 2008.

Evaluation Pattern

CIA - 50%

ESE - 50%

BDA112-2N - INTRODUCTION TO OPERATING SYSTEM LAB (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:1

Course Objectives/Course Description

 

Course Objectives:

This objective of this course to acquire the fundamental knowledge of the operating system architecture and its components. The purpose is to study and implement various commands in LINUX and basic operations of a process.

Learning Outcome

CO1: Understand basic LINUX commands.

CO2: Implement basic operations of processes.

Unit-1
Teaching Hours:30
List of Programs
 

1. To study the execution of various file/directory handling commands.

2. To study the various commands operated in vi editor in LINUX.

3. To study the various File Access Permission and different types of users in LINUX

4. To study about process related commands.

5. To study about the commands related to memory allocation of variables for a process.

6. To study about commands for viewing system calls.

7. To study about commands used for debugging.

8. Write a program to demonstrate basic operations of a process.

9. Write a program to create a Zombie process and an orphan.

10. Write a program to demonstrate a one-way pipe between two processes.

11. Write a program to illustrate a two way pipe between two processes.

Text Books And Reference Books:

CIA-50%

ESE- 50%

Essential Reading / Recommended Reading

1. Stalling William- Operating Systems: Internals and Design Principles. 7th Edition - Prentice Hall-2011.

Evaluation Pattern

CIA - 50%

ESE - 50%

BDA161-2N - R PROGRAMMING (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description

The course covers the basics of R for statistical computation, exploratory analysis, and modelling.

Course Objectives

1. To provide an introduction to R programming language and environment.

2. To enable students to understand and develop programs in the R environment.

Learning Outcome

CO1: Perform data handling in R.

CO2: Perform exploratory data analysis using R.

CO3: Perform statistical modelling using R.

Unit-1
Teaching Hours:10
Introduction to R
 

Installation of R- Getting Started with R interface- Entering Input-Evaluation. R objects- Numbers-Attributes- Creating Vectors-Mixing Objects Explicit Coercion- Matrices- Lists- Missing ValuesNata, Frames- Names- Reading and Writing Data into R- Introduction to read.table().

Unit-2
Teaching Hours:10
Managing Data Frames with dplyr package
 

Data Frames- dplyr package- dplyr grammar- Installing dplyr- functions –select-filter-arrange- rename-mutate-group by. Control Structures- Functions and Debugging- If-else- for loops-Nested for loops-while loops- repeat Loops-next break.

Unit-3
Teaching Hours:10
Modelling using R
 

Statistical Modelling using R: Diagrammatic and graphical representation. Exploratory data analysis- generating random numbers - fitting of discrete and continuous distributions.

Unit-4
Teaching Hours:30
List of Programs
 

1. Creating vectors and performing operations on vectors.

2. Creating Matrices and performing operations on matrix.

3. Usage of select-filter-arrange-rename-mutate-group by functions.

4. Programming using control statements.

5. Diagrammatic and graphical representation.

6. Doing exploratory data analysis.

7. Correlation and Regression analysis

8. Generate random numbers from discrete distributions.

9. Generate random numbers from continuous distributions.

10. Fitting of discrete probability distribution.

11. Fitting of continuous probability distribution.

Text Books And Reference Books:

[1] W.N. Venables, D.M.Smith. An Introduction to R, R Core Team, 2018.

[2] Maria Dolores Ugarte, Ana F. Militino, Alan T. Arnhold. Probability and Statistics with R,2nd CRC Press, 2016.

Essential Reading / Recommended Reading

[1] John Verzani, simple R - Using R for Introductory Statistics-2nd ed. CRC Press- Taylor&

Francis Group - 2018.

[2] Bharti MotwaniNata Analytics with R- 1st ed. – Wiley-2019.

Evaluation Pattern

CIA-50%

ESE-50%

COM149N - INVESTMENTS AND TRADING STRATEGIES (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course provides basic knowledge of investment alternatives available for individuals and outlines the functioning of primary and secondary markets. It also focuses on giving exposure to students on stock market trading and strategies.

 

Learning Outcome

CO1: Understand the various investment options available to investor.

CO2: Apply various techniques used by professionals for analyzing and valuing investment options.

CO3: Make a good investment plan.

CO4: Analyze past price movement of securities and predict future price movement.

CO5: Understand the trading strategies in both stock and derivatives segments of trading.

Unit-1
Teaching Hours:7
Introduction to Investment
 

Investment meaning- definitions- Investment v/s speculation- Investment process- investment categories- characteristics of investments- objectives of investments- types of investors- Hedging- Financial instruments – Risk and Return – Introduction to Portfolio Management

Unit-2
Teaching Hours:7
Capital Market in India
 

Indian Market-overview – players-participants and stock exchanges – Primary and Secondary market – SEBI and its functions - Functioning of stock exchange in India – stock market index

Unit-3
Teaching Hours:7
Trading in Secondary market
 

Terms relating to trading in cash market – stock market indices – stock symbols - Types of order – market order – limit order – stop loss order – stop limit order – trailing stop order - Method of placing an order- Inter day and intraday trading in cash market

Unit-4
Teaching Hours:8
Fundamental Analysis
 

EIC analysis- Economic analysis- tools for economic analysis- Industry analysis- standard industrial classification- tools for industry analysis- quantitative industry analysis- company analysis- tools for company analysis.

Unit-5
Teaching Hours:8
Technical Analysis
 

Meaning of Technical analysis and basic principles of technical analysis- Trends and Chart patterns -Eliot wave theory - Dow Theory, support and resistance level - different types of Charts - Mathematical indicators and Market indicators. Fundamental Vs technical analysis.

Unit-6
Teaching Hours:8
Derivatives market
 

Introduction to Derivatives Trading – Terms relating to Derivatives – Types of Derivatives – Forward – Future – Option – Swap – Derivative markets in India – stock exchanges trading derivative instruments. 

 

Text Books And Reference Books:

Punithavathy Pandian (2021). Security analysis and portfolio management Vikas publishing house Pvt Ltd.

Essential Reading / Recommended Reading
  1. Bhalla, V. (20188). Investment Management. New Delhi: Sultan Chand Publications 

 

Evaluation Pattern

CIA-1=25 Marks

CIA-2=25 Marks

CIA-3=30 Marks

Viav-Voce= 15 Marks

Attendance= 5 Marks

Total= 100 Marks

 

ECO141 - GLOBALISATION (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Liberalisation policies being pursued by most national economies in the world today, including India creates the need to acquire knowledge and comprehension of Globalisation as ideology along with its practical dynamics.

1.     To help students to develop the conceptual foundations.

2.     To familiarise the students with the basics of various dimensions of the globalisation and its impact.

3.    Understand the impact and consequences of the neo-liberal policies pursued across the globe.

Learning Outcome

CO1: Conceptual clarity on historical evolution of the process of globalisation

CO2: understanding the role and impact of the globalisation in their life

CO3: Understanding various facets of globalisation and its impact

Unit-1
Teaching Hours:15
Globalisation
 

Brief History – The Marrakesh Meet – Globalisation as a contested concept – Debate of Globalisation as a
new phenomenon

Unit-2
Teaching Hours:15
Dimensions of Globalisation
 
The Economics Dimension – The Political Dimension – The Cultural Dimension
Unit-3
Teaching Hours:15
Ideology
 

The Ideological Dimension of Globalisation – Challenges to Globalism – Assessing the Future of
Globalisation.

Text Books And Reference Books:

Manfred Steger ‘Globalisation the new Market Ideology’

Essential Reading / Recommended Reading

Joseph Stigliz ‘Discontents of Globalisaton’

Evaluation Pattern

CIA I

CIA II

CIA III

Attendance

Total

  10

  10

   25

  05

50

ENG181-2 - ENGLISH (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:2

Course Objectives/Course Description

 
  • To expose learners to a variety of texts to interact with
  • To help learners classify ideologies and be able to express the same
  • To expose learners to visual texts and its reading formulas
  • To help learners develop a taste to appreciate works of literature through the organization of language
  • To help develop critical thinking
  • To help learners appreciate literature and the language nuances that enhances its literary values
  • To help learners understand the relationship between the world around them and the text/literature
  • To help learners negotiate with content and infer meaning contextually
  • To help learners understand logical sequencing of content and process information

·         To help improve their communication skills for larger academic purposes and vocational purposes

·         To enable learners to learn the contextual use of words and the generic meaning

·         To enable learners to listen to audio content and infer contextual meaning

·         To enable learners to be able to speak for various purposes and occasions using context specific language and expressions

·         To enable learners to develop the ability to write for various purposes using suitable and precise language.

Learning Outcome

CO1: Understand how to engage with texts from various countries, historical, cultural specificities, and politics and develop the ability to reflect upon and comment on texts with various themes

CO2: Develop an analytical and critical bent of mind to compare and analyze the various literature they read and discuss in class

CO3: Develop the ability to communicate both orally and in writing for various purposes

Unit-1
Teaching Hours:4
food
 

Witches’ Loaves

O Henry

 

Unit-1
Teaching Hours:4
language
 

Presentation skills

Unit-2
Teaching Hours:6
Fashion
 

In the Height of Fashion-Henry Lawson

Unit-2
Teaching Hours:6
Language
 

Report writing

Unit-3
Teaching Hours:4
Management
 

The Story of Mumbai Dabbawalas- ShivaniPandita

 

Unit-3
Teaching Hours:4
Language
 

Resume Writing

Unit-4
Teaching Hours:3
Language
 

Interview skills and CV writing

Unit-4
Teaching Hours:3
Management
 

If

By Rudyard Kipling

Unit-5
Teaching Hours:4
History
 

Who were the Shudras?

By Dr Ambedkar

 

 

Unit-5
Teaching Hours:4
language
 

Developing arguments- debating

Unit-6
Teaching Hours:3
language
 

Developing arguments- debating

Unit-6
Teaching Hours:3
History
 

Dhauli

By JayantaMahapatra

Unit-7
Teaching Hours:4
language
 

email writing

Unit-7
Teaching Hours:4
Social Media
 

An Occurrence at Owl Creek Bridge by Ambrose Bierce

Unit-8
Teaching Hours:2
Social Media
 

Truth in the time of Social Media' by Girish Balachandran

Text Books And Reference Books:

ENGlogue 1

Essential Reading / Recommended Reading

teacher manual and worksheets that teachers would provide. Listening skills worksheets.

Evaluation Pattern

CIA1- 20

MSE-50

CIA3- 20

ESE- 50

ENG242 - MYTHOLOGY IN POSTMODERN INDIAN LITERATURE (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Indian mythologies have fascinated and captured the imagination of the mankind in general and the Indians in particular since time immemorial.In the recent past, there have emerged a generation of writers, who have begun refurnishing and repackaging the same age-old stories and the same age-old characters in their own ingenious way and have achieved remarkable success to capture and retain the imagination of the present, increasingly rational and tech-savvy, generation. The popularity and commercial success of their works is unprecedented in the Indian publishing history of fiction in English. This course will explore this vast corpus of retelling of mythical tales that have been able to create and propagate a sort of popular culture by adding a new dimension to the mythologies or, as some people argue, puranas. The objective of this course is to examine how Indian English writers in the 21st century have incorporated mythological elements and themes into their literary works. Through close reading and analysis, students will explore how authors have reimagined and recontextualized mythological narratives, characters, and symbols to address contemporary social, political, and cultural issues.

Learning Outcome

CO1: Develop an understanding of the rich and diverse mythological traditions of India

CO2: Analyze the contemporary reinterpretations of mythology in Indian English literature

CO3: Enhance literary appreciation and cross-cultural understanding

CO4: Critically evaluate the role of mythology in shaping contemporary Indian literature

CO5: Develop critical thinking and interpretation skills through textual analysis

Unit-1
Teaching Hours:10
Definition, Functions and Genres
 

This module attempts to introduce students to the fundamental ideas, key concepts, basic

issues, nomenclature and pioneers of mythology studies. It will critically engage with

the idea of  myths and their development as a genre in the 21st century Indian English literature.Introduction to the concepts of myth, mythology, mythopoeia, retelling, Archetypes, Narrative forms.

Unit-2
Teaching Hours:15
Retelling and Myth-making
 

 

This unit will explore the vast corpus of retellings of  Hindu mythology. It will primarily focus on the aspect of re-narrating/re-making of the traditional narrative in a way to retain the imagination of the present, increasingly rational and tech-savvy generation. This unit will enable students to identify and understand the recent motifs in the select texts which make this genre of retelling a success.

Unit-3
Teaching Hours:10
Feminist Lens
 

 

This unit will focus on the gynocentric retelling of the mythical stories. It will study the dynamic shift of the story telling to a female perspective and will enable students to understand the politics of gender involved in the plot. This unit will critically examine select texts with female protagonists narrating the tales of men.

Unit-4
Teaching Hours:5
Antihero
 

 

This unit will examine select texts which retell the stories of mythology from the perspective of the antihero. It will also help students to understand the theme of postmodernism in the retellings where the characters from the periphery voices out their side of the story.

Unit-5
Teaching Hours:5
Audio-Visual
 

The final will explore the vast tapestry of audio-visual elements of mythical retelling like graphic novels, movies, games and digital art. Moreover, this unit will make an attempt to identify the evolution of mythology through diverse mediums.

Text Books And Reference Books:

Beer, Gillian. “Representing Women: Re- London: Macmillan. 1989. 63-80. Print.

Frye, Northrop. “Myth, Fiction, and Displacement.” The MIT Press on behalf of American Presenting the Past.” The Feminist Reader: Essays in Gender and the Politics of Literary Criticism. Ed. Catherine Belsey and Jane Moore.

Academy of Arts and Sciences 90.3(1961): JSTOR. Web.8 Dec.2017. Girard, Rene. “Violence and Representation in the Mythical Text.” MLN 92.5 (1977): 922-944.JSTOR. Web. 15 Mar. 2011.

Karve, Irawati.Yuganta: The End of an Epoch. Mumbai: Orient Blackswan, 2008. Print.

Miller, J.Hillis. “Narrative.” Critical Terms for Literary Study. Ed. Frank Lentricchia and Thomas McLaughlin. Chicago: U of Chicago P, 1995. 66-79. Print. Mukherjee, Meenakshi. “Epic and Novel in India.” The Novel: Volume 1 History, Geography and Culture. Ed. Franco Moretti. Princeton: Princeton UP, 2006. 596-631. Print.

Essential Reading / Recommended Reading

Pattanaik,Devdutt. Myth=Mithya:A handbook of Hindu Mythology. New Delhi: Penguin India ,2006 .Print

Dowson,Jhon. A Classical Dictionary of Hindu Mythology and Religion, Geography, History and literature, London: Turner & Co 1888.Print

Jacqueline SutherenHirst. Myth and History, in “Themes and Issues in Hinduism” Edi Paul Bowen ,Cassell, New York. 1998.

Mehrotra. Arvin Krishna. Concise History of Indian literature in English. Delhi: permanent black 2010.Print

Iyengar, K.R.S., Indian Writing in English, New Delhi: Sterling Publishers,1985.

Evaluation Pattern

CIA I- 10 marks (Submission)

CIA II- 10 marks (Submission)

CIA III- 25 marks (Presentation and Submission)

Attendance- 5 marks

MAT121-2N - INTRODUCTION TO DIFFERENTIAL CALCULUS (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course aims at enabling the students to know various concepts and principles of differential

calculus and its applications. Sound knowledge of calculus is essential for the students of

mathematics for the better perceptions of the subject and its development.

 

Course Objectives: This course will help the learner to

1. Gain familiarity with the concepts of limit, continuity and differentiability.

2. Understand the relationship between the concepts of differentiability and continuity.

3. Analyse and interpret the different versions of mean value theorems.

4. Learn successive differentiation and nth derivative of product of two functions.

5. Find derivative of functions of more than one variable.

Learning Outcome

CO1: Compute limits, derivatives and examine the continuity, differentiability of a function at a point.

CO2: Understand the properties of continuous functions and prove that differentiability implies continuity.

CO3: Prove Mean value theorems and analyse its geometric interpretation.

C04: Compute derivatives of any order and apply Leibniz? theorem to find nth derivative of product of two functions.

CO5: Master the fundamental concepts of partial differentiation and apply Euler?s theorem for homogeneous functions.

Unit-1
Teaching Hours:20
Limits, Continuity and Differentiability
 

Functions, limit of a function, precise definition of a limit, limit laws, one sided limits, continuity, uniform continuity, types of discontinuities, limits involving infinity, asymptotes of graphs, properties of continuous functions on a closed interval, boundedness theorem, extreme  value theorem, sign preserving property of continuous functions, intermediate value theorem, differentiability, derivative as a rate of change, differentiability implies continuity, chain rule.

 

Unit-2
Teaching Hours:20
Application of Derivatives and Successive Differentiation
 

Mean value theorems: Rolle’s theorem, Lagrange’s and Cauchy’s first mean value theorems, Taylor’s theorem (Lagrange’s form and Cauchy’s forms of remainder), Maclaurin’s theorem, series expansions, indeterminate forms, curvature and radius of curvature, singular points, successive differentiation, nth derivatives of functions, Leibnitz theorem and its applications.

Unit-3
Teaching Hours:20
Partial Differentiation
 

Functions of several variables, limits and continuity for functions of two variables, partial derivatives, the chain rule, homogeneous functions, Euler’s theorem, extreme values and saddle points, Taylor's formula for two variables, Lagrange multipliers, partial derivatives with constrained variables.

Text Books And Reference Books:

[1] G. B. Thomas, M. D. Weir, J. Hass, Thomas Calculus, 12 Ed., Pearson Education India, 2015.

[2] H. Anton, I. Birens, S. Davis, Calculus, John Wiley and Sons Inc., 2002.

 

Essential Reading / Recommended Reading

[1] G. B. Thomas, R. L. Finney, Calculus and Analytic Geometry, 9th Ed., Addison-Wesley Pub.Co., 1998.

[2] F. Ayres and E. Mendelson, Schaum's Outline of Calculus, 6th Ed., USA: Mc. Graw Hill, 2013.

[3] N. P. Bali, Differential Calculus, New Delhi, Laxmi Publications (P) Ltd., India, 2012.

Evaluation Pattern

CIA: 50%

ESE: 50%

MED142 - DIGITAL STORYTELLING TECHNIQUES (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Course Description

This hands-on course introduces students to the fundamentals of digital media production, providing them with the skills and knowledge needed to create compelling content in various digital formats. Through practical exercises and projects, students will learn the essentials of pre-production, production, and post-production processes in the digital media landscape. They will explore techniques for capturing and editing audio and video, designing graphics, and creating engaging multimedia content. The course will also examine the influence of digital media on society, including its impact on culture, communication, and storytelling. By the end of the course, students will be proficient in producing professional-quality digital media projects and will have a critical understanding of the broader implications of digital media production.

 

Course Objectives:
1. Design impactful stories using effective structures, engaging visuals, and multimedia elements, tailored to specific platforms and audiences.
2. Get hands-on experience with audio/video recording and editing software, graphic design principles, and popular digital media platforms to produce effective storytelling projects.
3. Evaluate digital storytelling projects, identify effective techniques, and analyze the broader impact of digital media on communication and society.
4. Utilize various storytelling methods, collaborate effectively in teams, and communicate creative vision through presentations and project critiques.
5. Apply digital media skills to various platforms and emerging technologies, adapting your approach to diverse audiences and storytelling goals.

Learning Outcome

1: Provide students with a comprehensive understanding of industry-standard digital media production tools, software, and techniques to create high-quality digital media projects.

2: Understand specific requirements and considerations for producing media content across different platforms, including web, mobile, social media, and emerging technologies.

3: Foster students' creativity and artistic abilities, so that they will be competent to conceptualize and execute visually compelling and engaging digital media content through various assignments and projects.

4: Develop critical thinking skills to analyse and evaluate digital storytelling projects and assess the effectiveness of storytelling techniques and narrative structures.

5: Develop students' collaborative and communication skills for digital media production and enable them to effectively communicate their creative choices and project outcomes to a wider audience.

Unit-1
Teaching Hours:5
Role of Digital Media in Contemporary Society
 

Exploring the evolving landscape of digital media: a catalyst for social change, a platform for self-expression, and a driver of new economic models.

Unit-1
Teaching Hours:5
Digital Storytelling: Meaning, Features, and Types (Image, Audio and Video enabled)
 

Exploring the art of digital storytelling and its diverse forms.

Unit-1
Teaching Hours:5
Impact of Digital Media on Culture, Communication, and Storytelling
 

How digital media sparks social change, ignites global movements, and amplifies the power of collective action and cultural transformation.

Unit-1
Teaching Hours:5
Overview of Digital Media Production Process
 

This topic delves into the key stages of this journey, equipping students with the knowledge and skills to navigate the dynamic world of digital content creation.

Unit-1
Teaching Hours:5
Ethical and Legal Considerations in Digital Media Production
 

This crucial topic delves into the complexities of responsible content creation, addressing issues such as:

 

  • Copyright and intellectual property: Understanding ownership rights and respecting creative boundaries in the digital realm.
  • Privacy and data protection: Balancing transparency with safeguarding personal information in a data-driven world.
  • Representation and bias: Critically examining how digital media portrays diverse identities and challenging harmful stereotypes.
  • Misinformation and manipulation: Recognizing the ethics of information sharing and navigating the challenges of fake news and online manipulation.
  • Accessibility and inclusivity: Creating content that is accessible to all and promoting fair representation in the digital sphere.
Unit-2
Teaching Hours:8
Stages of Digital Media Production
 

The topic elaborates on the different stages of production for digital media, i.e., pre production, production and post production.

Unit-2
Teaching Hours:8
Concept Development and Storytelling in Digital Media
 

The students will learn how to ideate, develop it into a concept for the visual media and inculcate the art of storytelling within it.

Unit-2
Teaching Hours:8
Scriptwriting and Storyboarding
 

Students will learn about the art and science of scriptwrtiting and storyboarding. Words for scripts and Visual frames for storyboards. This will help them develop a visual aptitude and evolve them into budding media artists.

Unit-2
Teaching Hours:8
Planning and Organizing a Digital Media Project
 

Managing a production is an integral part of any media project. This topic will entail the hows and whys of the project and will train them in the art of multitasking; and balancing the creative and commercial pursuits of the production.

Unit-3
Teaching Hours:20
Audio Production - Recording techniques for voiceovers, interviews, and ambient sound; Audio editing and mixing; Sound design for digital media projects
 

In this topic, students will get acquainted with audio recording, editing and related skills.

Unit-3
Teaching Hours:20
Video Production - Camera operation and composition techniques; Lighting principles and techniques; Video editing and post-production
 

This topic will acquaint the students on the basics of camera, its operations, lightting, video shotting and editing techniques. This will enable thier inner creative to manifest their vision on screen.

Unit-4
Teaching Hours:6
Graphic Design Principles for Digital Media
 

The topic is about graphic designing and its basics. Students will give form and shape to their creative thinking and complete assignments relevant to the industry.

Unit-4
Teaching Hours:6
Creating and Integrating Graphics in Digital Media Projects
 

Graphics are integral as well as supportive in all kinds of media content. This will teach the students on how to create and place graphics in their media projects.

Unit-4
Teaching Hours:6
Introduction to Animation Techniques
 

This topic will enable students to delve into the basics of animation and will give them tools to tell their stories, narratives and ideas.

Unit-5
Teaching Hours:6
Planning, Scheduling, and Budgeting for Digital Media Projects
 

Digital media has primarily been commercialized. This has brought up the need for measuing costs, profits and budgets. This topic will teach them how to plan and budget their projects, leading better outcomes.

Unit-5
Teaching Hours:6
Final Project and Presentation (Students will complete a final digital media project and present their work)
 

Students will learn how to finalise content and present it. They will also learn relevance of time, channel and audience for their produced content.

Unit-5
Teaching Hours:6
Collaboration and Teamwork in Digital Media Production
 

Collaboration is integral to any project. The topic will help students learn how to divide roles, maintain synchronicity and optimize the skills of the team.

Text Books And Reference Books:

Dariano, A. (2018). The Storyteller's Ultimate Guide to Film and Digital Media Production. Routledge.

Datta, R. (2018). The Art of Digital Storytelling: Crafting Personal Narratives in the Digital Age. HarperCollins India.

Joshi, A. (2019). Digital Storytelling: A Comprehensive Guide for Beginners. Notion Press.

Manovich, L. (2013). The language of new media. MIT Press.

Rao, S. (2020). Visual Storytelling in the Digital Era: Techniques and Strategies for Engaging Audiences. Sage Publications India.

Essential Reading / Recommended Reading

Clark, J., & Lyons, A. (2016). Visual Storytelling: The Digital Video Documentary. Cengage Learning.

Lambert, J. (2013). Digital Storytelling: Capturing Lives, Creating Community (4th ed.). Routledge.

Gitner, S. (2016). Multimedia Storytelling: For Digital Communicators in a Multiplatform World. Routledge.

Mehta, N. (2015). Journalism and the Public Sphere in the Digital Age. SAGE Publications India.

Mukherjee, R., & Chakravarty, T. (2017). Digital Discontents: Civil Society and the Media in Contemporary India. Oxford University Press.

Rabiger, M. (2015). Directing the documentary. Routledge.

Evaluation Pattern

Component of Evaluation - Mode of Examination - Weightage (%)

CIA 1 - Assignment - 10%

CIA 2 - Mid-Semester Examination (Submission) - 25%

CIA 3 - Assignment - 10%

Attendance - 05%

ESE - End Semester Examination (Submission) - 50%

Total - 100%

POL145 - AMBEDKAR IN CONTEMPORARY TIMES (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Course Description:

Dr B R Ambedkar is one of the great intellectuals who has contributed to nation-building as an anti-caste leader, ardent philosopher of social justice, political economist, and principal architect of the Indian constitution. An organic intellectual, Dr Ambedkar developed his political philosophy by critically examining his personal experiences and encompassing them with a rigorous analysis of India’s social structure and history. This course will facilitate students to broaden their understanding of the social, economic and political thoughts of Dr Ambedkar. Further, this course will engage with the critical ideas of ‘Liberty, Equality and Fraternity’ to enable young minds to examine the socio-political realities in the Indian context.

 

Course Objectives:

To engage with the intellectual legacy of Dr B R Ambedkar.

To foster a critical approach to examine the social, political, and economic inequalities with Ambedkar’s political philosophy.

Learning Outcome

CO 1: To be familiar with the life history and contribution of Dr B R Ambedkar to further examine the ideas of social justice and fundamental rights to develop a critical view of Indian social, political and economic inequalities.

CO 2: To understand and engage with everyday socio-political realities and questions related to Recognition, Redistribution and Representation, Social Exclusion, Discrimination, etc.

Unit-1
Teaching Hours:11
LIFE HISTORY OF DR. AMBEDKAR
 

1.1  The Journey to Becoming Baba Saheb: Life History and Works of Dr Ambedkar

1.2  Impact of Buddha, Kabir, Jotiba Phule and Periyar on Ambedkar

1.3  Making of an Organic Intellectual: Political and Philosophical Thoughts of Dr Ambedkar

Unit-2
Teaching Hours:11
AMBEDKAR AND HIS POLITICAL VISION
 

2.1 Parliamentary and Social Democracy

2.2 Democracy and Constitution

2.3 Empowerment of Women 

Unit-3
Teaching Hours:11
AMBEDKAR AND HIS SOCIO-ECONOMIC THOUGHTS
 

3.1 Annihilation of Caste

3.2 Emancipation of Marginalized Section

3.3 Idea of Social Justice

3.4 Ideas on Development

Unit-4
Teaching Hours:12
REVISITING AMBEDKAR AND THE CASTE QUESTION IN CONTEMPORARY TIMES
 

4.1 Everyday Exclusion and Discrimination

4.2 Debates on Equality and Merit

4.3 Reservation and Representation

Text Books And Reference Books:
  • Ambedkar, B.R. (1936), The Annihilation of Caste
  • Ambbedkar, B.R. (1948), The Untouchables: Who were they and why they became Untouchables?
  • Ambedkar, B.R. (1946), Who were the Shudras?
  • Ambedkar, B.R. (1951), “The Rise and Fall of the Hindu Woman: Who was Responsible for it?”
  • Ambedkar, B.R.  Speech in the Constituent Assembly, 25 November 1949
  • Ambedkar, “The Hindu Code Bill,” Rodrigues, Valerian, ed. The essential writings of BR Ambedkar. Oxford University Press, 2010, p. 495-516.
  • Kumar Bagesh (2021), ‘Discrimination in Indian Higher Education: Everyday Exclusion of the Dalit–Adivasi Student’. Contemporary Voice of Dalit, 15(1), 94-108.
  • Kumar, Bagesh, and Manika Bora (2023), “Learner-centred education and the possibilities of inclusion”. Creating an Equitable Space for Teaching and Learning, Routledge.
  • Omvedt, Gail (2006). Dalit visions: The anti-caste movement and the construction of an Indian identity. Orient Blackswan.
  •  Omvedt, Gail (2012) Understanding Caste, Orient Blackswan.
  • Rege, Sharmila (2013), Against Madness of Manu: B R Ambedkar’s Writings on Brahmanical Patriarchy, Navayana Publishing, New Delhi.
  • Chakravarti, Uma (2018), Gendering Caste, Sage Publications.
  • Chalam, K. S. (2007). Caste-based reservations and human development in India. SAGE Publications.
  • Rodrigues, Valerian, Ambedkar as a Political Philosopher, APRIL 15, 2017 vol liI no 15 EPW.
  • Guru Gopal (2019) EXPERIENCE, CASTE AND EVERYDAY SOCIAL, Oxford University Press
  • Rathore, Aakash Singh (2020) Ambedkar’s Preamble: A Secret History of the Constitution of India. Penguin India.
  • B.Ambedkar (2003) Dr. Babasaheb Ambedkar Writings and Speeches, all volumes.
  • S. Thorat and Aryama (eds) (2007), Ambedkar in Retrospect: Essays on Economics, Politics and Society, Delhi: Rawat Publishers
Essential Reading / Recommended Reading
  • E. Zelliot, (1996) ‘From Untouchable to Dalit: Essays on the Ambedkar Movement’, in The Leadership of Babasaheb Ambedkar, Delhi: Manohar Publication.
  • M. Gore, (1993) The Social Context of an Ideology: Ambedkar’s Political and Social Thought, Delhi: Sage Publication.
  • Mosse, D. (2018). Caste and development: Contemporary perspectives on a structure of discrimination and advantage. World Development, 110, 422–436.
  • Rohit De (2018), A People’s Constitution – The Everyday Life of Law in the Indian Republic.
  • Yendge, Suraj (2019) Caste Matters.  Penguin Viking.
Evaluation Pattern

CIA-I

10 Marks

CIA-II

10 Marks

CIA-III

25 Marks

Attendance

05 Marks

POL146 - UNITED NATIONS AND SUSTAINABLE DEVELOPMENT (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

The course will introduce the students to how UN public policy has evolved in achieving its core mandate to maintain international peace and security through establishing cooperation among countries to address the issues without borders, towards achieving sustainable development Under the Sustainable Development Agenda with its economic, social and environmental dimensions the UN has gone beyond its earlier objective of preventing war and is ensuring human security.

Course Objectives

The course aims to help students:

 To understand the working of United Nations Organization.

 To identify the sustainable development goals and their necessity in the world

 

 To understand the various ways in which citizens can promote the SDGs

Learning Outcome

CO1: analyze the challenges to human security.

CO2: develop a broader understanding of United Nations and its involvement in the development of countries

CO3: identify and contribute in their own way to achieving SDGs

Unit-1
Teaching Hours:15
UN System: Origin, Governance, and Structure
 

United Nations –principles and organization and working

 

Global Governance

Unit-2
Teaching Hours:15
Development models and Sustainable Development
 

Human Development and security,

Meaning of Sustainable Development,

History and evolution,

Unit-3
Teaching Hours:15
Achieving Sustainable Development goals
 

17 SDGs Three principal dimensions: the ecological, the economic and the social dimension, including intergenerational justice;

(Bring in the Indian contribution to sustainability) activism through UN volunteers and UN careers,

India’s role in achieving SDGs

Text Books And Reference Books:

Baylis, J. and Smith, S. (eds.) (2011), The Globalization of World Politics. An Introduction to International Relations, London: OUP.

 

Heywood, Andrew. (2014). Global Politics. Palgrave Foundations

Essential Reading / Recommended Reading

Abbott, Kenneth and Snidal, Duncan, (1998), ‘Why States Act Through Formal International Organizations’, Journal of Conflict Resolution.

Abott, Kenneth, et.al (eds) (2015), ‘International Organizations as Orchestrators’. 

Barry Buzan and Ole Weaver (2003), ‘Regions and Powers: The structure of International Security.

Margret Karns and Karen Mingst (2009), ‘International Organizations: The Politics And Process of Global Governance’ .

Evaluation Pattern

CIA-I 10 Marks

CIA-II 10 Marks

CIA-III 25 Marks

 

Attendance- 05 Marks

PSY156N - PSYCHOLOGY OF RELATIONSHIPS (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Understanding close relationships is among the central goals of social psychology. Close relationships range from family ties to friendships to romantic and sexual relationships. Our main purpose will be on learning about the life cycle of adult intimate (i.e., romantic) relationships, ranging from stages of initial attraction and relationship initiation to growth and maintenance of the relationship, and in some cases, dissolution. Although other close relationships such as close friendships, family, and work relationships will also be addressed and integrated into the course, they will be of secondary importance. Class meetings will consist mainly of facilitated discussions and student-led presentations on topics such as the biological bases of attraction and love, commitment and interdependence, relationship cognition, attachment, communication, sexuality, relational interaction patterns, relationship satisfaction, and the social context of relationships (e.g., the influence of others) conflict, relationship dissolution, and relationship maintenance.

CO1: Understand the major concepts and models of interpersonal relationships.

CO2: Evaluate the different types of relationships and their impact on one's life.

CO3: Use strategies to enhance everyday life challenges and sustain effective relationships

 

 

 

Learning Outcome

CO1: Understand the major concepts and models of interpersonal relationships

CO2: Evaluate the different types of relationships and their impact on one's life.

CO3: Use strategies to enhance everyday life challenges and sustain effective relationships

Unit-1
Teaching Hours:15
Introduction to key theories and concepts in relationship psychology
 

(attachment theory, social exchange theory, equity theory, interdependence theory, etc.), theories of attraction (evolutionary, social, and cognitive perspectives), historical perspectives on the study of relationships, Ethical considerations in relationships. 

Unit-2
Teaching Hours:15
Different types of relationship
 

childhood relationship (parent, teacher, caregiver), adult relationship, friendship and workplace relationships, emerging trends in relationships such as virtual relationship, long distance relationship, cohabitation, post- divorce relationship, friendships and social networks – benefits, types and maintenance. Social media and its influence on relationship formation and maintenance.

Unit-3
Teaching Hours:15
Effective communication strategies
 

Active listening skills and empathetic communication,

Conflict resolution techniques and managing relationship disagreements, developing self-awareness, empathy, emotional intelligence, and applying psychological principles to real-life relationship scenarios.

Text Books And Reference Books:

Baron, R.A., Byrne, D. & Bhardwaj, G. (2010). Social Psychology (12th Ed.). New Delhi: Pearson.

Reis, H. T. (2012). A history of relationship research in social psychology. In A.W. Kruglanski & W Stroebe (Eds.), Handbook of the history of social psychology (pp. 213-232). New York: Psychology Press.

Graziano, W. G., & Bruce, J. W. (2008). Attraction and the initiation of relationships: A review of the empirical literature. In S. Sprecher, A. Wenzel, & J. Harvey (Eds), Handbook of relationship initiation, pp. 269-295. New York: Psychology Press

Essential Reading / Recommended Reading

Cameron, J. J., Stinson, D. A., & Wood, J. V. (2013). The bold and the bashful: Selfesteem, gender, and relationship initiation. Social Psychological and Personality Science, 4, 685-692. https://doi.org/10.10 02/9780470939338

Miller, Chapter 1: The Building Blocks of Relationships

Finkel, E.J., Eastwick, P.W., Karney, B.R., Reis, H. T., & Sprecher, S. (2012). Online dating: A critical analysis from the perspective of psychological science. Psychological Science in the Public Interest, 13, 3–66.

Sbarra, D. A., & Beck, C. J. A. (2013). Divorce and close relationships: Findings, themes, and future directions. In J. A. Simpson & L. Campbell (Eds.), The Oxford handbook of close relationships (pp. 795-822). Oxford, UK: Oxford University Press.

Lewandowski, G. W., Aron, A., Bassis, S. & Kunak, J. (2006). Losing a self-expanding relationship: Implications for the self-concept. Personal Relationships, 13, 317-331.

Vanden Abeele, M., Schouten, A. P., & Antheunis, M. L. (2017). Personal, editable, and always accessible: An affordance approach to the relationship between adolescents’ mobile messaging behavior and their friendship quality. Journal of Social and Personal Relationships.

Emery, L. F., Muise, A., Dix, E. L., & Le, B. (2014). Can you tell that I’m in a relationship? Attachment and relationship visibility on Facebook. Personality and Social Psychology Bulletin, 40, 1466–1479.

Evaluation Pattern

Course outcomes

CIA1

(Total 20 marks)

CIA2

(Total 20 marks)

CIA3

(Total 50 marks)

Attendance + CP

(10 marks)

CO1:

20

  10

15

 

CO2:

 

10

  15

 

CO3:

 

 

20

 

Note (if any):

CIA 1 will be individual assignments (video presentations)

 CIA 2 will be group presentations

SOC142 - ARTIFICIAL INTELLIGENCE AND SOCIETY (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course is designed to help students understand the relationship between artificial intelligence and society and what are the various social concerns regarding this relationship. The course will introduce students to the historical development of artificial intelligence and what are various social, economic and ethical concerns raised by the increasing use of artificial intelligence. Different sociological explanations of the relationship between artificial intelligence and society will be explored in the course.

Learning Outcome

CO1: Explain the historical development of artificial intelligence

CO2: Sociological explanations of the relationship between artificial intelligence and society

CO3: Explain the impact of artificial intelligence on social relations

CO4: Explain the impact of artificial intelligence on the workplace and labour

CO5: Explain the ethical considerations with regard to the matters of privacy and surveillance

CO6: Navigate the regulatory and policy landscape

CO7: Anticipate future trends

Unit-1
Teaching Hours:20
Introduction and History of Artificial Intelligence (AI)
 

1.1 Meaning of AI

1.2 Historical context for the emergence of AI

 

1.3 Sociological explanations of AI

Unit-2
Teaching Hours:15
AI and Social Relationships
 

2.1 AI and Social Inequality 

2.2 AI, Workplace and Labour 

2.3 AI, Privacy and Governance

Unit-3
Teaching Hours:10
AI and Future Challenges
 

3.1 AI and Ethical Challenges 

3.2 AI and Regulatory Framework 

3.3 Accountability and Transparency in AI 

Text Books And Reference Books:

Abhivardhan (ed.). (2021). Artificial Intelligence and Policy in India. Indian Society of Artificial Intelligence and Law. 

 

Abhivardhan (ed.). An Indic Approach to AI Ethics. Indian Society of Artificial Intelligence and Law. 

 

Alexander, Jeffrey. (1990). ‘The Sacred and the Profane Information Machine: Discourse about the Computer as Ideology’, Archives de sciences sociales des religions, 69. 

 

Andrada, G., Clowes, R.W. & Smart, P.R. (2023). ‘Varieties of Transparency: Exploring Agency within AI Systems’, AI & Society, 38, 1321-1331. 



B.P. Bloomfield (Ed.). (1987). The Question of Artificial Intelligence: Philosophical and Sociological Perspectives. Routledge. 

 

Bainbridge,William  et.al. (1994). ‘Artificial Social Intelligence’, Annual Review of Sociology, 20: 407-436.

 

Beer, D. (2017). ‘The Social Power of Algorithms’, Information,Communication & Society, 20(1), 1–13. 

 

Berman, B.(1992). ‘Artificial Intelligence and the Ideology of Capitalist Reconstruction’, AI & Society, 6(2), 103–114.

 

Binder, Werner. (2022). ‘Technology as Dis(Enchantment): AlphaGo and the Meaning-Making of Artificial Intelligence. Cultural Sociology. https://doi.org/10.1177/17499755221138720 

 

Brynjolfsson ,E. & Mc Afee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.

 

Bucher, T. (2018). If...Then: Algorithmic Power and Politics. Oxford University Press. 

 

Collins, H.M. (1990). Artificial Experts:Social Knowledge and Intelligent Machines. The MIT Press.

 

Elliott, A. (2019). The Culture of AI: Everyday Life and the Digital Revolution. Routledge.

 

Eubanks, V. (2017). Automating Inequality: How High‐tech  Tool Profile, Police, and Punish the Poor.  St Martin's Press. 

 

Forsythe, D. E. (1993a). ‘The Construction of Work in Artificial Intelligence’, Science, Technology & Human Values, 18(4),460–479.

 

Forsythe, D.E.(1993b). ‘Engineering knowledge: The construction of knowledge in artificial intelligence.’ Social Studies of Science, 23(3), 445–477.

 

Kaplan, J. (2016). Artificial intelligence: What Everyone Needs to Know.  Oxford University Press.

 

Liu, Zheng. (2021). ‘Sociological Perspectives on Artificial Intelligence’, Sociology Compass. 

 

McCarthy, J. (2007). What is Artificial Intelligence? Retrieved from http://www-formal.stanford.edu/jmc/whatisai.pdf.

 

Mackenzie, Donald and Wajcman, Judy. 1985. Social Shaping of Technology. Open University Press. 

 

MacKenzie, D. (2018). ‘Making', ‘Taking' and the Material Political Economy of Algorithmic Trading’, Economy and Society, 47(4), 501–523.

 

Marda, Vidushi. (2018). ‘Artificial Intelligence Policy in India: A Framework For Engaging the Limits of Data-Driven Decision Making’, The Royal Society Publishing

 

Marx, Karl. (1993). Grundrisse. Penguin Classics. Chapter on: ‘The Fragments of Machines’ 

 

McClure,P.K. (2018). ‘“You're fired,” says the Robot: The Rise of Automation in the Workplace, Technophobes, and Fears of Unemployment’, Social Science Computer Review, 36(2), 139–156. 

 

Mittelstadt, B.D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). ‘The Ethics of Algorithms: Mapping the Debate’, Big Data & Society, 3(2), 1–21.

 

Natashekara, Karthik. (2023). ‘The ChatGPT Phenomenon: Will We Become Jobless’, Economic and Political Weekly, Vol.58, No.31. 

 

Noble, S.U. (2018). Algorithms of Oppression:How Search Engines Reinforce Racism. New York University Press.

 

Pasquinelli, Matteo. 2023. The Eye of the Master: A Social History of Artificial Intelligence. Verso Books. 

 

Sanjaya, Karun and Chandra, Rushil. (2023). ‘Adapting to the AI Revolution’, Economic and Political Weekly, Vol.58, No.19. 

 

Seth, Suchana. (2017). ‘Machine Learning and Artificial Intelligence: Interactions with the Right to Privacy’, Economic and Political Weekly, Vol.52, No.51.

 

Schwartz, R.D. (1989). ‘Artificial Intelligence as a Sociological Phenomenon’, Canadian Journal of Sociology 14, 179–202.

 

Woolgar, S. 1985. ‘Why not a Sociology of Machines? The case of Sociology and Artificial Intelligence.’ Sociology 19(4), 557–572.

Essential Reading / Recommended Reading

Abhivardhan (ed.). (2021). Artificial Intelligence and Policy in India. Indian Society of Artificial Intelligence and Law. 

 

Abhivardhan (ed.). An Indic Approach to AI Ethics. Indian Society of Artificial Intelligence and Law. 

 

Alexander, Jeffrey. (1990). ‘The Sacred and the Profane Information Machine: Discourse about the Computer as Ideology’, Archives de sciences sociales des religions, 69. 

 

Andrada, G., Clowes, R.W. & Smart, P.R. (2023). ‘Varieties of Transparency: Exploring Agency within AI Systems’, AI & Society, 38, 1321-1331. 



B.P. Bloomfield (Ed.). (1987). The Question of Artificial Intelligence: Philosophical and Sociological Perspectives. Routledge. 

 

Bainbridge,William  et.al. (1994). ‘Artificial Social Intelligence’, Annual Review of Sociology, 20: 407-436.

 

Beer, D. (2017). ‘The Social Power of Algorithms’, Information,Communication & Society, 20(1), 1–13. 

 

Berman, B.(1992). ‘Artificial Intelligence and the Ideology of Capitalist Reconstruction’, AI & Society, 6(2), 103–114.

 

Binder, Werner. (2022). ‘Technology as Dis(Enchantment): AlphaGo and the Meaning-Making of Artificial Intelligence. Cultural Sociology. https://doi.org/10.1177/17499755221138720 

 

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Evaluation Pattern

Overall CIA: 100 Marks