Department of SCIENCES NCR

Syllabus for
BSc (Economics, Data Analytics/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
COM143 ENTREPRENEURSHIP DEVELOPMENT AND SMALL BUSINESS MANAGEMENT Multidisciplinary Courses 3 3 100
COM144 FINANCIAL LITERACY Multidisciplinary Courses 3 03 100
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
ECO108-1N PRINCIPLES OF MICROECONOMICS Major Core Courses-I 4 4 100
ECO141-1N MARKET AND ECONOMY Multidisciplinary Courses 3 3 100
ECO162-1N SOCIAL, LEGAL AND ENVIRONMENTAL ADAPTABILITY Skill Enhancement Courses 3 3 100
ENG181-1 ENGLISH Ability Enhancement Compulsory Courses 2 2 50
POL142-1N GLOBAL POWER AND POLITICS Multidisciplinary Courses 3 3 50
STA121-1N INTRODUCTION TO STATISTICS Minor Core Courses 3 3 100
2 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
COM149N INVESTMENTS AND TRADING STRATEGIES Multidisciplinary Courses 3 3 100
DAS101-2N INTRODUCTION TO ARTIFICIAL INTELLIGENCE Major Core Courses-II 3 3 100
DAS111-2N INTRODUCTION TO ARTIFICIAL INTELLIGENCE LAB Major Core Courses-II 2 1 50
DSC102-2N OPERATING SYSTEM Major Core Courses-I 4 4 100
ECO106-2N PRINCIPLES OF MACROECONOMICS Major Core Courses-I 4 4 100
ECO107-2N MATHEMATICAL ECONOMICS Major Core Courses-I 4 4 100
ENG181-2 ENGLISH Ability Enhancement Compulsory Courses 3 2 100
POL146 UNITED NATIONS AND SUSTAINABLE DEVELOPMENT Multidisciplinary Courses 3 3 50
PSY156N PSYCHOLOGY OF RELATIONSHIPS Multidisciplinary Courses 3 3 50
STA121-2N STATISTICAL METHODS Minor Core 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. 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:

The undergraduate program of B.Sc.(Economics, Data Analytics) is an interdisciplinary dual major programme. The key feature of this program is the combination of insights from data analytics and economic skills with hand on experience in various tools and technologies like Artificial Intelligence, Machine Learning, Data Analytics, Big Data, NLP etc. Also, particular focus on skills required for the complex decision-making in Applied Microeconomics, Finance, Market Research, Operations and Policy Analysis. The progressive approach in the design of the curriculum facilitates students to pursue research/career in the areas of Data Analytics or Economics.

This programme prepares students to become Data Analysts and Economists with various career options, such as Associate Data Analysts, Public Policy Makers, Professors, Civil Servants, Actuaries, Defense Personnel, Researchers, and BFSI (Banking, Financial Services & Insurance). Also, based on the latest NEP guidelines, this programme offers a unique blend of the flexible credit system to support the individual learning needs with research bent. This programme is extended to the fourth year as a B.Sc.(Hons) in Economics or Data Analytics, 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: To address the challenging requirements in the domain related to Data Analytics and Economics.

PO3: To use effectively the data analytics tools in the analysis of economic and social problems

PO4: Understand and apply fundamental principles, concepts and methods of mathematics.

PO5: Demonstrate problem-solving skills using mathematical techniques

PO6: Apply appropriate methods and tools for research and development in the chosen discipline

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 

COM143 - ENTREPRENEURSHIP DEVELOPMENT AND SMALL BUSINESS MANAGEMENT (2023 Batch)

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

Course Objectives/Course Description

 

Entrepreneurship is not just about start-ups: it is a topic that is rapidly growing in importance in government policy and in the behaviour of established firms. The course provides students with an understanding of the role and personality of the entrepreneur, and a range of skills aimed at successful planning of entrepreneurial ventures. Material covered includes fostering creativity and open-mindedness, knowledge acquisition and management, innovation systems, screening and evaluating new venture concepts, market evaluation and developing a marketing plan, legal Issues Including intellectual property, preparation of venture budgets, and raising finance. The major piece of assessment is the writing of a comprehensive business plan for a new venture.

Learning Outcome

CO 1: Discuss the fundamental concept and emerging trends of entrepreneurship.

CO 2: Elaborate the entrepreneurial process and classify the different styles of thinking.

CO 3: Develop and summarize the creative problem-solving technique and types of innovation.

CO 4: Compile the legal and regulatory framework and social responsibility relating to entrepreneur.

CO 5: Create a business model for a start-up.

CO 6: Build competence to identify the different sources of finance available for a start-up and relate their role in different stages of business.

Unit-1
Teaching Hours:9
Introduction to Entrepreneurship
 

Evolution, Characteristics, Nature of Entrepreneurship, Types, Functions of Entrepreneur, Distinction between an Entrepreneur and a Manager, Concept, Growth of Entrepreneurship in India, Role of Entrepreneurship in Economic Development, Emerging trends of contemporary entrepreneurship – Information and Communication Technology (ICT), Globalisation, changing demands, unemployment, changing demographics, Institutional support, ease of entry in the informal sector

Unit-2
Teaching Hours:9
The Entrepreneurial Process
 

Steps in the Entrepreneurial Process: Generating Ideas, Opportunity Identification, Business concepts, Businessconcepts,Resources(Financial,PhysicalandHuman), Implementing and managing the venture, Harvesting the venture, Design Thinking, Systems Thinking, Agile thinking and Lean thinking Blue Ocean Strategy, Role and relevance of mentors, Incubation cell, Methods of brainstorming ideas.

 

Unit-3
Teaching Hours:9
Creativity and Innovation
 

Creativity, Principles of creativity, Source of New Idea, Ideas into Opportunities. CreativeProblemSolving:Heuristics,Brainstorming,Synectics, ValueAnalysisInnovationandEntrepreneurship: Profits and Innovation, Principles of Innovation, Disruptive, Incrementaland Open innovations, Nurturing and Managing Innovation, Globalization, Concept andModelsofInnovation, MethodsofprotectingInnovationandcreativity,SignificanceofIntellectualPropertyRights,Patents & Copy right, Business Model Canvas, and Lean Management. 

Unit-4
Teaching Hours:9
Entrepreneurship Practice
 

EssentialsofBusinessOwnership:Typesofventures,RiskandBenefits,LegalandRegulatoryFramework,EthicsandSocialResponsibility,MarketResearch(ventureopportunityscreening), Feasibility Analysis, Introduction to the Business Plan, Developing the BusinessModel for starting a new venture, E-Commerce and Growing the Venture: The Internet andits impact on venture development

Approaches to E-Commerce, Strategies for E-CommerceSuccess,The nature of international entrepreneurship and their importance

Unit-5
Teaching Hours:9
Sources of raising capital
 

Different sources of financing for start-ups, stages of financing involve in start-ups, advantages and disadvantages of the different sources of financing, Mezzanine finance, Specific financial assistance from government and financial institutions to promote entrepreneurship, Venture Valuation Methods

Text Books And Reference Books:
  1. Allen,K.R.(2011), “LaunchingNewVentures:AnEntrepreneurialApproach”,6thEdition.Mason,Ohio: South-WesternCengage Learning.
  2. Kuratko,DonaldF.Entrepreneurship:(2010) Theory,Process,Practice9thEdition.Mason,Ohio: South-WesternCengage Learning
Essential Reading / Recommended Reading
  1. Scarborough,N.M.(2011),“EssentialsofEntrepreneurshipandSmallBusinessManagement”,6thEdition. NewJersey:PrenticeHall.
  2. Verstraete,T.and Jouioson-Laffitte,E.(2012),“ABusinessModelforEntrepreneurship”,
  3. Cheltenham:EdwardElgarPublishingLtd.
  4. Poornima Charantimath,(2007) “EntrepreneurshipDevelopment-SmallBusinessEnterprise”,Pearson Education.
  5. RoberDHisrich,MichaelPPeters,DeanAShepherd,(2007), Entrepreneurship,(6ed.), The McGraw-Hillcompanies.
  6. RajivRoy,(2011),Entrepreneurship,(2ed.)OxfordUniversityPress
Evaluation Pattern

CIA I (a) Multiple Choice Questions (MCQ)

CIA I (b) Video Content Creation

 

CIA II Case Study Analysis

 

CIA III (a) Multiple Choice Questions(MCQ)

CIA III (b) Business Plan Creation + VIVA

 

CIA I (a): Week 1 & 2: MCQ (5 Marks)


Google Form/Google Classroom based Quiz consisting of MCQs to test the basic concepts relating to Unit 1 and 2. The date of examination is on or before 05-08-2023.  This would be an individual assessment with a set of 10 questions, 5 each from unit 1 and 2.  The details of this assignment, and the penalties for not attending shall be posted in the Google Classroom.

 

CIA I (b) Preparing a video interview of an Entrepreneur (Individual Assignment) 10 marks

Every student shall identify an entrepreneur and prepare a 15 minutes video interview on them.  Orientation about the video preparation shall be given by the respective faculty in the first week of the semester itself. Later a Google spreadsheet of students list shall be sent to the students.  Within a week the students need to enter the name of the entrepreneurs identified so as to avoid repetition in their selections and start preparing the interview. Once the entrepreneur is finalized, an orientation about plagiarism policies shall be given by the faculty.  The last date of the video submission is 10-08-2023, before 06:00 PM.  Inability to submit the video on or before the due date should be priorly intimated to the faculty.  Any delay in submission without prior consent or approval shall lead to a penalty of marking the student ZERO in this component. 

 

The video shall be assessed based on the following rubrics. Report submitted will be valued for 10 marks.

More details of the report:

 

  1. The video should include genesis, growth, management contributions, challenges, how they overcome, achievements, major entrepreneurship inferences.
  2. References and sources should be mentioned as per APA 6th Edition, towards the end of the video.
  3. The video interview should be a minimum of 15 minutes.
  4. Last date for submission 10th August 2023, late submission within two days of the scheduled date, will carry a penalty deduction of two marks. 

 

CIA II - Case Study (15 marks)

Group of not more than six members in a team will be formed randomly in the class based on the subject teacher’s discretion. Each group shall gather content and solve the assigned case study and submit a written report of the same. Report shall include the introduction to the case, highlights and objectives, conceptual definitions, detailed analysis, findings and suggestion, conclusion.  Groups are free to use all authentic sources to gather information. Once the case study is finalized, an orientation about case analysis, report writing, and plagiarism policies shall be given by the faculty.  The last date of the case analysis report submission is 30-09-2022, before 06:00 PM.  The report can be supported with article reviews, statistical facts and examples and book references.


More Details of the Report:

1.      Case Study has to be based on growth of Entrepreneurship in India or Emerging trends of contemporary entrepreneurship.

 

  1. References as per APA 6th Edition, and Appendix.
  2. Detailed analysis of the problem and alternatives available should form part of the report.
  3. The written report should be a minimum of 6 pages.
  4. Last date for submission 30th September, 2023, late submission within two days of the scheduled date, will carry a penalty deduction of two marks. 

 

CIA III (a): Week 15 & 16: MCQ (5 Marks)

 


Google Form/Google Classroom based Quiz consisting of MCQs to test the basic concepts relating to Unit 1 and 2. The date of examination is on or before 02-11-2023.  This would be an individual assessment with a set of 10 questions, 5 each from Units 1 and 2.  The details of this assignment, and the penalties for not attending shall be posted in the Google Classroom.

 

CIA III (b) Business Plan and viva-voce (10 marks)


The same group allotted for Case Study report shall continue. Once the idea for the business plan is finalized, an orientation about various components of the business plan, report writing, and plagiarism policies shall be given by the faculty. However, every student shall contribute in the construction of a
creative and technical business plan in detail consisting details from idea to implementation stage. The report will be valued for 10 marks by a panel of three external reviewers. The assessment criteria shall be discussed and finalized before the final submission and in consonance with the inputs and suggestions 
of the reviewers identified.  This criterion shall also be presented and discussed with the students prior to the final submission.  Though this is a group assignment, the assessment of the contribution of each student would be done individually.

More Details of the Report:

§  The report shall include details on value proposition, business and revenue model, sustainability

§  The written report should be a minimum of 10 pages.

§  References as per APA 6th Edition, and Appendix.

Last date for submission 5th November 2023, late submission within two days of the scheduled date, will carry a penalty deduction of two mark 

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 

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

ECO108-1N - PRINCIPLES OF MICROECONOMICS (2023 Batch)

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

Course Objectives/Course Description

 

Course Description

This course is designed to expose the students to the basic principles of microeconomic theory. The emphasis will be on thinking like an economist and the course will illustrate how microeconomic concepts can be applied to analyze real-life situations.

Course Objectives

  1. To understand that economics is about the allocation of scarce resources and how that results in trade-offs.
  2. To analyse the role of prices in allocating scarce resources in market economies and explain the consequences of government policies in the form of price controls.
  3. To predict positive as well as normative view points on concepts of market failure and the need for government intervention.

Learning Outcome

CO1: Communicate their knowledge and understanding of economic issues using written, verbal and visual expression

CO2: Use supply and demand to determine changes in market equilibrium (price and output), changes in welfare, and analyze the impact of government policies.

CO3: Model consumer choice and solve for utility-maximizing consumption bundles.

Unit-1
Teaching Hours:12
Exploring the Subject Matter of Economics
 

Why study economics? Scope and method of economics; the economic problem: scarcity and choice; the question of what to produce, how to produce and how to distribute output; science of economics; the basic competitive model; prices, property rights and profits; incentives and information; rationing; opportunity sets; economic systems; reading and working with graphs.

 

Unit-2
Teaching Hours:12
Supply and Demand: How Markets Work, Markets and Welfare
 

Markets and competition; determinants of individual demand/supply; demand/supply schedule and demand/supply curve; market versus individual demand/supply; shifts in the demand/supply curve, demand and supply together; how prices allocate resources; elasticity and its application; controls on prices; taxes and the costs of taxation; consumer surplus; producer surplus and the efficiency of the markets.

 

Unit-3
Teaching Hours:12
The Households
 

The consumption decision - budget constraint, consumption and income/price changes, demand for all other goods and price changes; description of preferences (representing preferences with indifference curves); properties of indifference curves; consumer‘s optimum choice; income and substitution effects; labour supply and savings decision - choice between leisure and consumption.

Unit-4
Teaching Hours:14
The Firm and the Market Structure
 

Behaviour of profit maximizing firms and the production process; short run costs and output decisions; costs and output in the long run. Monopoly and anti-trust policy; government policies towards competition; imperfect competition. Labour and land markets - basic concepts (derived demand, productivity of an input, marginal productivity of labour, marginal revenue product); demand for labour; input demand curves; shifts in input demand curves; competitive labour markets; and labour markets and public policy; New Frontiers in Microeconomics.

Unit-5
Teaching Hours:10
Efficiency of Market and Market Failure
 

Externalities: Marginal Social Cost and Marginal Social Benefits, Public Goods: The Characteristics of Public Goods Public Provision of Public Goods, Optimal Provision of Public Goods, Local Provision of Public Goods: Tiebout  Hypothesis ,  and Common Resources,  Uncertainty and Asymmetric Information:  Decision Making Under Uncertainty: The Tools, Asymmetric Information

Text Books And Reference Books:

Case, K. E., Fair, R. C., &Oster, S. M. (2013). Principles of Microeconomics (11th ed.). London: Pearson Education Inc.

Mankiw, N. G.  (2017). Principles of Microeconomics (8th ed.). MA: Cengage Learning.

Stiglitz, J. E., & Walsh, C. E. (2006). Principles of Microeconomics (4th ed.). New York: W.W. Norton & Company Inc., International Student Edition.

Essential Reading / Recommended Reading

Lipsey, R. G., & Chrystal, K. A. (1999). Principles of Economics (9th ed.). Oxford: Oxford University Press.

Mankiw, N. G. (2011). Economics: Principles and Applications (10th ed.). MA: Cengage Learning.

Pindyck, R. S., &Rubinfeld, D. L. (2013). Microeconomics (8th ed.). New York: Pearson Education.

Ray, N.C. (1975). An Introduction to Microeconomics. New Delhi: Macmillan Company of India Ltd.

Salvatore, D. (2011). Managerial Economics in a Global Economy (7th ed.). Oxford: Oxford University Press.

Samuelson, P. A., & Nordhaus, W.D. (2010). Economics (19th ed.). New Delhi:    McGraw-Hill Companies.



Evaluation Pattern

Evaluation Pattern

Evaluation Pattern

CIA1

MSE* (CIA2)

CIA3

ESE**

Attendance

Weightage

10

25

10

50

05

* Mid Semester Exam            ** End Semester Exam

 

ECO141-1N - MARKET AND ECONOMY (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 –Market and Economy – covers the pertinent themes in both Microeconomics and Macroeconomics. It aims at providing a systematic introduction to mainstream approaches to the study of economics and enable students to understand the basic concepts of economic development.

Learning Outcome

CO1: Have an overview of the basic concepts in microeconomics.

CO2: Develop a comprehensive view of the dynamics of markets and factors controlling the markets.

Unit-1
Teaching Hours:12
Micro Economics and the Theory of Consumption
 

Ten Principles of Economics, Market, People and Economy: How people make decisions, how people interact and how the economy as a whole works State and Economy, Models and Theories in Economics: Role of Assumptions and Economic Models, Wants and Resources, Problem of Choice, Production Possibility Frontier, Opportunity Costs

Unit-2
Teaching Hours:16
Demand and Supply
 

Law of demand, Reasons for the downward slope of the demand curve, Exceptions to the law; Changes in demand; Elasticity of Demand; Degrees of price elasticity with diagrams; Factors determining price elasticity, methods of measurement. Income elasticity demand; Cross elasticity demand, Laws of supply, Changes in supply- Consumers, Producers, and the Efficiency of the Markets: Consumer’s surplus (Marshall), Producer surplus and Market efficiency- Externalities and Market inefficiency; Market Equilibrium; Public goods and common resources.

Unit-3
Teaching Hours:17
The Households
 

The consumption decision - budget constraint, consumption and income/price changes, demand for all other goods and price changes; description of preferences (representing preferences with indifference curves); properties of indifference curves; consumer‘s optimum choice; income and substitution effects; labour supply and savings decision - choice between leisure and consumption.

Text Books And Reference Books:

1.     Case, K. E., Fair, R. C., &Oster, S. M. (2013). Principles of Microeconomics (11th ed.). London: Pearson Education Inc.

2.     Mankiw, N. G.  (2017). Principles of Microeconomics (8th ed.). MA: Cengage Learning.

3.     Ahuja, H.L. (2016). Principles of Microeconomics. New Delhi: S. Chand

Essential Reading / Recommended Reading

1.     Pindyck, R. S., &Rubinfeld, D. L. (2013). Microeconomics (8th ed.). New York: Pearson Education.

2.     Mankiw, N. G. (2011). Economics: Principles and Applications (10th ed.). MA: Cengage Learning.

Evaluation Pattern

3 CIAs 

30 Marks Each 

Attendance 

05 marks 

Class Participation

05 marks 

ECO162-1N - SOCIAL, LEGAL AND ENVIRONMENTAL ADAPTABILITY (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course description      

This course intends to facilitate coexistence in a rapidly changing world characterised by diversity and exponential new development in social structure. The course aims creates ability to practice harmonious living and develop necessary skills to enrich each other in society. The skills covered will be: Social adaptability, Environmental adaptability, Legal adaptability.

Course Objectives

  1. To inculcate in students the spirit of social tolerance, political responsibility and compassion towards different sections of the society.
  2. To create awareness among students about the various pertinent laws of the land they should be aware of as responsible citizens and the consequences of their violations.
  3. To sensitize the students towards environmental issues and encourage them to think of sustainable alternative solutions.

Learning Outcome

CO1: More aware about their duties and responsibilities towards their society and fellow beings and will be able to assess the impact and consequences of their actions on the society.

CO2: Able to understand the procedures to file FIRs and RTIs, applying for their driving licenses, PAN card, VISA and other legal documentations.

CO3: Able to understand and exercise their rights and duties better and will have the knowhow of what to be done during the time of emergencies.

Unit-1
Teaching Hours:10
Social Adaptability
 

Social tolerance: Cultural acceptance, Political acceptance, Acceptance of all communities - gender and gender preferences, Linguistic acceptance; Political responsibility: Duties as a responsible citizen, Importance of participating in elections, Safeguarding of Public property; Community Service; Safety of fellow beings: social safety, road safety, women safety, health and hygiene.

Unit-2
Teaching Hours:10
Legal Adaptability
 

Common Legal Knowledge: Relationships – Consent, Dominance, Privacy; Alcohol and drugs - Illegal products, Narcotics Act, Respecting organizations, Legal age; Ragging and bullying; Legal repercussions of proxies; Dress code; Respecting other genders. Student Community: Laws related to residence; Driving License, Aadhar, Visa, Passport; Public transport; Sexual harassment; Emergency services. International students; Support systems; Laws in academia. 

Unit-3
Teaching Hours:10
Environmental Adaptability
 

Reduction in the use of plastics; reduction in urban air and noise pollution; Cleaning water bodies.

Text Books And Reference Books:

The Narcotic Drugs And Psychotropic Substances, Act, 1985

The Motor Vehicle (Amendment)Act 2019.

The Sexual Harassment of Women at Workplace (Prevention, Prohibition and Redressal) Act, 2013

The Water (Prevention and Control of Pollution) Act, 1974

The Air (prevention and control of pollution) act, 1981

The Environment (Protection) Act, 1986

 The National Green Tribunal Act, 2010

Evaluation Pattern

Assessment Component

Description

Weightage

CIA I

Exhibition

35%

 

Unit 1.

 

CIA II

Individual Assignment (CIA 2)

30%

 

Unit 2

 

CIA III

Presentation and Activity

35%

 

Unit 3

 

 

Total

100%

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

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)

STA121-1N - INTRODUCTION TO STATISTICS (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 is designed to introduce the basic concepts of statistics, presentation of data and descriptive measures. This course also introduces the concept of probability.

Course Objectives:

1. To enable students to understand various types of data.

2. To develop ability to summarize data using appropriate graphs, tables and statistical measures.

3. To have understanding of basic concepts of probability and its applications. 

Learning Outcome

CO1: Summarize and present the data in tabular and graphic form.

CO2: Calculate appropriate measures to describe the characteristics of data such as central tendency, dispersion, skewness and kurtosis.

CO3: Understand the basic concepts of probability and calculate the probabilities for various events.

Unit-1
Teaching Hours:15
Organization and Presentation of Data
 

Definition of statistics- Scope - limitation and misuse of statistics - types of data: primary, secondary, quantitative and qualitative data - Types of Measurements: nominal, ordinal, interval and ratio scale - discrete and continuous data - Presentation of data by tables: construction of frequency distributions for discrete and continuous data - graphical representation of a frequency distribution.

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: Mean deviation - Quartile deviation - Standard deviation - Coefficient of variation - Moments: measures of skewness - kurtosis.

Unit-3
Teaching Hours:15
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 – Bayes’ theorem and its applications.

Text Books And Reference Books:

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

Essential Reading / Recommended Reading

[1] Mukhopadhyay P, Mathematical Statistics, Books and Allied (P) Ltd, Kolkata, 2018.

[2] Walpole R.E, Myers R.H, and Myers S.L, Probability and Statistics for Engineers and Scientists, Pearson, New Delhi, 2017.

[3] Montgomery D.C and Runger G.C, Applied Statistics and Probability for Engineers, 7th Edition, Wiley India, New Delhi, 2018.

[4] Agarwal B.L, Basic Statistics, 6th Edition, New Age International (P) Limited Publishers, 2018.

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

 

DAS101-2N - INTRODUCTION TO ARTIFICIAL INTELLIGENCE (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 aims at developing an understanding about the issues involved in defining and simulating perception, identifying the problems where AI is required and the different methods available to compare and contrast different AI techniques available, to define and explain learning algorithms and to provide the student additional experience in the analysis and evaluation of complicated systems.

Course Objectives 1. To understand the importance of Artificial Intelligence. 2. To understand various AI techniques. 

Learning Outcome

CO1: Express the modern view of AI and its foundation

CO2: Illustrate search strategies with algorithms and problems.

CO3: Implement proportional logic and apply inference rules.

CO4: Apply suitable techniques for probabilities and handling uncertainty.

Unit-1
Teaching Hours:9
Introduction to Artificial Intelligence
 

Foundation of AI, background and applications, Turing test and Rational agent approaches to AI, Intelligent agents: Agents and environment, good behavior, nature of environments. Problems, Problem spaces, Search: State space search – Production systems – Problem characteristics. Issues in the design of search program.

Unit-2
Teaching Hours:9
Search strategies
 

Uninformed search- Breadth First Search, Depth First Search, Iterative deepening, Hill climbing and its variations, Heuristics search techniques: Best First Search, Constraint satisfaction problem, Means-end analysis.

Unit-3
Teaching Hours:9
Knowledge Representation
 

Propositional logic – syntax & semantics, First order logic, Inference in first order logic, propositional Vs. first order inference, unifications & lifts, Clausal form conversion, Forward chaining, Backward chaining, Resolution.

Unit-4
Teaching Hours:9
Uncertainty
 

Handling uncertain knowledge, basic probability notation, Prior probability, Conditional probability, Bayes’ theorem, Probabilistic reasoning, representation of conditional distributions

Unit-5
Teaching Hours:9
Probabilistic Reasoning Systems
 

The Semantics of belief networks, Inference in belief networks, Clustering methods, Other approaches to uncertain reasoning - Default reasoning, Rule - based methods for uncertain reasoning, Representing ignorance: Dempster - Shafer theory, Representing vagueness: Fuzzy sets and fuzzy logic.

Text Books And Reference Books:

[1] Russel and Norvig, ‘Artificial Intelligence’, third edition, Pearson Education, PHI, (2015)

[2] Elaine Rich & Kevin Knight, ‘Artificial Intelligence’, 3nd Edition, Tata McGrawHill Edition, Reprint( 2008) 

Essential Reading / Recommended Reading

[1] Patrick Henry Winston, ‘Artificial Intelligence’, Pearson Education (2003)

[2] G. Luger, W. A. Stubblefield, "Artificial Intelligence", Third Edition, AddisonWesley,(2007)

[3] William F. Clocksin, Christopher S. Mellish-Programming in Prolog-Springer (2003) 

Evaluation Pattern

CIA 50%

ESE 50%

DAS111-2N - INTRODUCTION TO ARTIFICIAL INTELLIGENCE LAB (2023 Batch)

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

Course Objectives/Course Description

 

The course develops an understanding about the issues involved in defining and simulating perception, identifying the problems where AI is required and the different methods available to compare and contrast different AI techniques available, to define and explain learning algorithms and to provide the student additional experience in the analysis and evaluation of complicated systems. 

Course Objectives 1. To understand the various AI techniques. 

Learning Outcome

CO1: Express the different AI techniques, algorithms for applying in different problems.

CO2: Implement proportional logic and apply inference rules

Unit-1
Teaching Hours:30
List of Lab Programs
 

1. Write a python program to calculate LCM and HCF of given numbers.

2. Create a simple chat box using turing test.

3. Write a python code to implement Breadth-First Search

4. Write a python code to implement Depth-First Search.

5. Implement Forward chaining

6. Implement Backward chaining

7. Implement basic probabilities.

8. Implement Bayes’ theorem in python.

9. Write a python program for Inference with Bayesian Network

10. Write a python program for Cluster Bayesian Network

Text Books And Reference Books:

[1]Russel and Norvig, ‘Artificial Intelligence’, third edition, Pearson Education, PHI, (2015)

[2] Elaine Rich & Kevin Knight, ‘Artificial Intelligence’, 3nd Edition, Tata McGrawHill Edition, Reprint( 2008) 

Essential Reading / Recommended Reading

[1] Patrick Henry Winston, ‘Artificial Intelligence’, Pearson Education (2003)

[2] G. Luger, W. A. Stubblefield, "Artificial Intelligence", Third Edition, Addison-Wesley,(2007)

[3] William F. Clocksin, Christopher S. Mellish-Programming in Prolog-Springer (2003) 

Evaluation Pattern

CIA 50%

ESE 50%

DSC102-2N - OPERATING SYSTEM (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 is a classical approach to the concepts behind modern computer operating systems. Considers the unifying concept of the operating system as a collection of cooperating sequential processes. Covers topics including file systems, virtual memory, disk request scheduling, concurrent processes, deadlocks, security, and integrity.

Course Objectives:

1. Learn fundamental operating system abstractions such as processes, threads, files, Semaphores, IPC abstractions, shared memory regions, etc.,

2. Learn the principles of concurrency and synchronization, and apply them to write correct concurrent programs/software,

3. Learn basic resource management techniques (scheduling, time management, space management) and principles and how they can be implemented. These also include issues of performance and fairness objectives, avoiding deadlocks, as well as security and protection. 

Learning Outcome

CO1: To understand the services provided by and the design of an operating system

CO2: To understand the file system, memory management and synchronization.

CO3: To understand system calls for managing processes.

CO4: To understand the implementation of OS.

Unit-1
Teaching Hours:10
Introduction and System Structures:
 

 Operating System Fundamentals; Computer System organization and architecture; Operating System structure and operations; Basics of process, memory and storage management and protection and security; Operating System services; User interface; System calls; System programs; Operating System structure; System boot.

Unit-2
Teaching Hours:10
Process Management
 

Process Management- Process concept; Process scheduling; Operations on processes; Inter Process Communication; Overview of Threads; Multi-threading models; Threading issues.

Unit-3
Teaching Hours:10
Synchronization
 

Need of synchronization- Critical section problems; Peterson‘s solution; Synchronization hardware; Mutex Locks; Semaphores, Classical problems of synchronization, Synchronization examples, Thread synchronization using mutex and semaphore.

Unit-4
Teaching Hours:10
CPU Scheduling concepts
 

CPU Scheduling concepts; Scheduling criteria; Scheduling algorithms; Overview of thread scheduling; Multi-processor scheduling. 

Unit-5
Teaching Hours:10
Memory Management
 

Memory Management-Overview; Swapping; Memory allocation; Segmentation; Paging, Structure of the page table. 

Unit-6
Teaching Hours:10
Virtual Memory
 

Overview; Demand paging; Copy on Write; Page replacement; Allocation of Frames; Thrashing. 

Text Books And Reference Books:

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

[2] Stalling William, Operating Systems: Internals and Design Principles. 7th Edition, Prentice Hall, 2011 

Essential Reading / Recommended Reading

[1] Dietel et al, Operating System.3rd Edition. Pearson Education, 2004.

[2] A.S. Tanenbaum, Modern Operating Systems.3rd Ed, Prentice Hall, 2007

Evaluation Pattern

CIA 50%

ESE 50%

ECO106-2N - PRINCIPLES OF MACROECONOMICS (2023 Batch)

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

Course Objectives/Course Description

 

Course Description

This course is designed to give a systematic school-wise introduction to mainstream approaches to the study of macroeconomics. The course begins by introducing students to the various important macroeconomic variables and its measurement technique. Then the course proceeds on a systematic introduction to the important macroeconomic theory adopting a chronological school-wise pattern; beginning from the Classical to the Keynesians, Monetarists, New Classicals and New Keynesians. It has been designed in such a way that it stimulates awareness on the evolution; critiques and debates in the mainstream macroeconomic thought and provided insights into macroeconomic challenges and policy management in progressive nations. It is also intended that this course will develop the ability for objective reasoning about macroeconomic issues.

 Course Objectives

  1. To introduce to the students, the basic principles of macroeconomic theory.
  2. To enable the students to understand the characteristics of major macroeconomic variables.
  3. To provide a vivid understanding to students on the evolution of macroeconomic thought.
  4. To equip students to analyse the dynamic interactions between the major macroeconomic variables.

Learning Outcome

CO1: The students will be acquainted with the mainstream approaches to the study of macroeconomics.

CO2: The students will be able to distinguish between the various approaches and the merits and critiques of each of them.

CO3: The students will acquire the ability to understand the dynamic interactions between the macroeconomic variables and their impact on the economy.

CO4: The students will be able to understand the application of macroeconomics in real world

Unit-1
Teaching Hours:7
Macroeconomics and Measurement of Macroeconomic Variables
 

Nature and scope of macroeconomics; meaning and definition of key macroeconomic variables; Central questions in Macroeconomics; National Income Accounts: GDP – National Income – Personal and Disposable Personal Income; National Income Accounting Identities, Issues in National Income Accounting; Cost of Living Index: GDP deflator, WPI, CPI, Core Inflation; Measures of Cyclical Variation in Output.

Unit-2
Teaching Hours:10
The Classical Macroeconomics
 

The Classical Revolution; Wage, Employment and Production; Equilibrium Output and Employment; Quantity theory of Money; The Classical Theory of the Interest Rate; Policy Implications of Classical Equilibrium Model.

Unit-3
Teaching Hours:18
The Keynesian System
 

The Problem of Unemployment; the Simple Keynesian Model: Equilibrium Output, Components of Aggregate Demand, Equilibrium Income; the role of Fiscal Policy and Multiplier; Exports and Imports in the Simple Keynesian Model; Interest rates and Aggregate demand; Keynesian Theory of the Interest Rate; Money supply and Money demand in Keynesian framework.

Unit-4
Teaching Hours:10
The Monetarist Counterrevolution
 

The reformulation of the Quantity theory of Money; Fiscal and Monetary Policy: Monetarists versus Keynesians; Unstable velocity and declining policy influence of Monetarism.

Unit-5
Teaching Hours:15
Macroeconomic Theory after Keynes
 

The New Classical Position: Keynesian Counter-critique, Rational Expectations Hypothesis; Business Cycle Theories: Multiplier-Accelerator Interaction Model, Real Business Cycle Theory, Political Business Cycle Model; New Keynesian Economics: Menu Cost Theory, Efficient-Wage Theory, Insider-Outsider Model and Hysteresis.

Text Books And Reference Books:

Dornbusch, R.., Fischer, S.., & Startz, R. (2015). Macroeconomics. (11th ed.). McGraw Hill Education.

Froyen, R. (2014). Macroeconomics: Theories and Policies (10th ed.). Pearson Education.

Mankiw, N. G. (2015). Macroeconomics (9th ed.). USA: Worth Publishers.

McConnell, C. R., & Brue, S. L. (2011). Macroeconomics, Principles, Problems and Policies.  New York: McGraw Hill  Inc.

Snowden, B. & Vane, H. R. (2005). Modern Macroeconomics: Its Origins, Development and Current State. United Kingdom: Edward Elgar Publishing.

Essential Reading / Recommended Reading

Abel, A. B. & Bernanke, B. S. (2011). Macroeconomics (7th ed.). USA: Pearson Education.

Blanchard, O. (2009). Macroeconomics (5th ed.). USA: Pearson Education Inc.

Blaug, M. (1968). Economic Theory in Retrospect (2nd ed.). London: Heinemann Educational Books.

Cate, T. (2012). Keynes’ General Theory: Seventy Five Years Later. United Kingdom: Edward Elgar Publishing.

Mishkin, F. S. (2016). Macroeconomics: Policy & Practice (2nd ed.). United States: Pearson Education.

Samuelson, P. A., & Nordhaus, W. D. (2005). Economics (18th ed.). New York:  McGraw-Hill.

Schiller, B. & Gebhardt, K. (2011). The Macroeconomy Today (11th ed.). New York:  McGraw-Hill.

Sheffrin, S. M. (1996). Rational Expectations (2nd ed.). Cambridge: Cambridge University Press.

Evaluation Pattern

Evaluation

Pattern

CIA1

MSE* (CIA2)

CIA3

ESE**

Attendance

Weightage

10

25

10

50

05

* Mid Semester Exam            ** End Semester Exam

ECO107-2N - MATHEMATICAL ECONOMICS (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 is the second part of a compulsory two-course sequence. This part is to be taught in Semester II following the first part in Semester I. The course gives an introduction into differential equation, linear algebra, derivatives and application using calculus. A central aim to this course is to increase "mathematical maturity", confidence and familiarity with the types of problems that students will encounter and built upon later.

Learning Outcome

CO1: The students will be able to apply mathematical techniques and models for the deeper understanding of economics, especially the branches of microeconomics, macroeconomics and econometrics.

CO2: The students will be able to analyse the effect of change and discover techniques to improve your decision-making process.

CO3: The students will be able to Develop an understanding of Economic dynamics and solve problems through adjustments with time.

Unit-1
Teaching Hours:7
Elements of Linear Algebra ? I
 

Vectors; Vector Spaces; Linear Dependency; A Matrix; Matrix Operations: Addition, Subtraction, Scalar Multiplication and Multiplication; Laws of Matrix Algebra: Commutative, Associative and Distributive; Matrix expression of a System of Linear Equations

Unit-2
Teaching Hours:8
Elements of Linear Algebra ? II
 

Determinants; Rank of a Matrix; Minors, Cofactors, Adjoint and Inverse Matrices; Laplace Expansion; Solving Linear Equations with the Inverse; Cramer’s Rule for Matrix Solutions; Input-Output Analysis using Matrices.

Unit-3
Teaching Hours:15
Integral Calculus
 

Integration; Indefinite and Definite Integral; Riemann integral; Numerical methods of evaluating the integral; Fundamental Theorem of the Calculus; Rules of Integration; Integration by substitution; Integration by Parts; Area between Curves; Improper Integrals; L’Hôpital’s Rule; Multiple Integrals; Application of Integral Calculus in Economics: Revenue and Cost Curves, Consumers’ and Producers’ Surplus, Market Equilibrium, Growth, Domar’s model of Public Debt.

Unit-4
Teaching Hours:15
Differential Equations
 

Introduction to Differential Equations: Definitions and Concepts; First-Order Differential Equations; Integrating factors and Rules; Variables separable case; Differential Equation with Homogenous Coefficients; Exact Differential Equations; Second-order Differential Equations; Application in Economics: Dynamic Stability in Microeconomic models, Growth path, Domar’s Capital expansion model.

Unit-5
Teaching Hours:15
Difference Equations
 

Introduction to Difference Equations: Definitions and Concepts; Finite differences; Homogeneous linear difference equation with constant coefficients; Solutions for Non-homogeneous linear equations; Linear First-Order Difference Equations; Linear Second-Order Difference Equations with constant coefficients; Stability Conditions; Application in Economics: Interaction between Multiplier and Acceleration Principle, The Cobweb Model, Harrod-Domar Growth Model.

Text Books And Reference Books:

Chiang, A.C. & Wainwright, K.  (2013). Fundamental Methods of Mathematical Economics. (4th ed.). McGraw Hill Education (India) Private Limited.

Renshaw, G. (2011).  Maths for Economics. (4th ed.).  Oxford. Oxford University Press.

Sydsaeter, K. &   Hammond, P. (2016).  Mathematics for Economic Analysis. New Delhi: Pearson Education Inc.

Essential Reading / Recommended Reading

Bradley, T.  (2013). Essential Mathematics for Economics and Business. United Kingdom: John Wiley & Sons.

Dowling, E.  T. (2012). Schaum’s Outlines-Introduction to Mathematical Economics. (3rd ed.).  New York: McGraw Hill.

Roser, M. (2003). Basic Mathematics for Economists. (2nd ed.). New York: Routledge.

Evaluation Pattern

Evaluation Pattern

Evaluation Pattern

CIA1

MSE* (CIA 2)

CIA3

ESE**

Attendance

Weightage

10

25

10

50

05

* Mid Semester Exam            ** End Semester Exam

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

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

STA121-2N - STATISTICAL METHODS (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 is designed to teach the basic concepts of random variables, generation functions and an introduction to inferential statistics. It also gives a brief idea about standard probability distributions, sampling and how they are applied in real time situations.

Course Objective: Develop an understanding of random variables, probability distributions, and two dimensional random variables, as well as sampling distributions, inferential statistics.

Learning Outcome

CO1: Demonstrate the random variables and its functions.

CO2: Compute the expectations for random variable functions and generating functions.

CO3: Demonstrate various discrete and continuous distributions and their usage.

Unit-1
Teaching Hours:11
Random variables
 

Definition - Discrete and continuous random variables - Probability Mass function and Probability density function - Distribution function and its properties - Two dimension random variables: Discrete and continuous type - Joint Density function - Marginal and conditional Probability Mass function and Probability Density function - independence of variables with illustration.

Unit-2
Teaching Hours:11
Mathematical Expectation and Generating functions
 

Expectation of single and bivariate random variables and its properties - Conditional expectations - Moments and Cumulants - Moment Generating Function - Cumulant Generating Function and Characteristic Function.

Unit-3
Teaching Hours:11
Discrete Probability Distributions
 

Discrete distributions: Uniform - Bernoulli - Binomial - Poisson – geometric distributions along with their properties and applications

Unit-4
Teaching Hours:12
Continuous Probability Distributions
 

Continuous distributions: Uniform - Normal - Exponential distributions along with their properties and real-life applications.

Text Books And Reference Books:

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

Essential Reading / Recommended Reading

[1] Mukhopadhyay P, Mathematical Statistics, Books and Allied (P) Ltd, Kolkata, 2015.

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

[3] Montgomery D.C and Runger G.C, Applied Statistics and Probability for Engineers, Wiley India, New Delhi, 2018.

[4] Mood A.M, Graybill F.A and Boes D.C, Introduction to the Theory of Statistics, 3rd edition, McGraw Hill, New Delhi, 2017.

Evaluation Pattern

CIA: 50%

ESE: 50%