Department of SCIENCES NCR

Syllabus for
BSc (Economics, Mathematics/Honours/Honours with Research)
Academic Year  (2023)

 
1 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BBA141D TALENT MANAGEMENT Multidisciplinary Courses 3 3 50
BEM001-1N PYTHON PROGRAMMING Bridge Courses 1 0 50
COM143 ENTREPRENEURSHIP DEVELOPMENT AND SMALL BUSINESS MANAGEMENT Multidisciplinary Courses 3 3 100
COM144 FINANCIAL LITERACY Multidisciplinary Courses 3 03 100
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
EST144-1N CRIME FICTION: AN INTRODUCTION Multidisciplinary Courses 3 3 50
LAW144 ENVIRONMENTAL LAW Multidisciplinary Courses 3 3 100
LAW150 CORPORATE SOCIAL RESPONSIBILITY AND HUMAN RIGHTS Multidisciplinary Courses 2 2 100
MAT101-1N DIFFERENTIAL CALCULUS Major Core Courses-I 4 4 100
MAT161-1N INTEGRAL CALCULUS Skill Enhancement Courses 2 2 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 - 3 3 100
ECO106-2N PRINCIPLES OF MACROECONOMICS - 4 4 100
ECO107-2N MATHEMATICAL ECONOMICS - 4 4 100
ENG181-2 ENGLISH - 3 2 100
MAT101-2N INTRODUCTORY ALGEBRA - 3 3 100
MAT102-2N DIFFERENTIAL EQUATIONS - 4 4 100
MAT111-2N CALCULUS USING PYTHON - 2 1 50
MED142 DIGITAL STORYTELLING TECHNIQUES - 3 3 50
PSY159N PSYCHOLOGY OF LEADERSHIP - 3 3 100
STA121-2N STATISTICAL METHODS - 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 cocurricular 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 car

Introduction to Program:

The BSc (Economics and Mathematics) is a dual major three years graduate programme, to nurture the confidence and skills of the students in Economics and Mathematics. It aims to impart strong fundamentals and specialised aspects of Economics and Mathematics. The curriculum of this programme includes various theoretical courses along with industry relevant software tools to prepare young minds for the challenging opportunities available in the industries and research organisations. 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 BSc (Hons) in Economics or Mathematics, 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 Economics and Mathematical Sciences.

PO3: Use effectively the mathematical and statistical 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.

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

 

BEM001-1N - PYTHON PROGRAMMING (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:1
Max Marks:50
Credits:0

Course Objectives/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

1. To provide comprehensive knowledge of python programming paradigms.

Learning Outcome

CO1: Understand and apply core programming concepts

CO2: Demonstrate significant experience with python program development environment.

CO3: Design and implement fully-functional programs using commonly used modules and custom functions

Unit-1
Teaching Hours:7
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, output.

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

Unit-2
Teaching Hours:7
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 Type of Tuples

LAB 2: Implement Lists

LAB3: 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 Functions: Defining a function, Types of arguments, unpacking arguments.

Recursive functions. Main module, built-in, custom modules, importing a module LAB4: Implement Dictionary

LAB5: Implement Set

LAB 6: Implement Recursive function

Unit-4
Teaching Hours:7
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.

LAB7: 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

CIA :100%

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 

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

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

LAW150 - CORPORATE SOCIAL RESPONSIBILITY AND HUMAN RIGHTS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

This course, thus, has been specifically designed for the non-law people. It aims to address the linkages between the corporate and the human rights in the form of CSR. It critically analyses one significant question – whether the issues of human rights should be addressed by the corporate sector mandatorily or voluntarily, in different social contexts? The strengths and weaknesses of the CSR initiatives in India and other countries are analysed. Also, the international commitments, with special reference to the role of United Nations are seen.

Course Objectives: Corporate Social Responsibility or CSR, as it is popularly referred to, is a combination of ethical, philanthropic, legal and economic responsibilities of a corporate organization towards the social transformation by addressing the social issues in collaboration with Government and NGOs. The corporate entities are more into profit making business and in this race, they often forget that their activities are causing harm to and not protecting the environment as well as human rights of the people.

Learning Outcome

CO1: Analyze the concept of Corporate Social Responsibility and the laws related to it

CO2: Understand the national and international laws related to regulate the CSR activities of the company and organizations.

CO3: Evaluate the contemporary position and explain how it is related to the protection of the Human rights.

Unit-1
Teaching Hours:6
INTRODUCTION
 

Meaning and origin of CSR; Meaning of human rights; Linkage between human rights and CSR

Unit-2
Teaching Hours:6
INDIA AND OTHER COUNTRIES
 

CSR by companies in India affecting human rights; CSR and the provisions of the Companies Bill, 2012; CSR by companies in other countries affecting human rights

Unit-3
Teaching Hours:6
INTERNATIONAL LAW
 

United Nations commitments on CSR relating to human rights; other international commitments on CSR affecting human rights

Unit-4
Teaching Hours:6
CONTEMPORARY POSITION
 

Strengths and weakness of CSR in terms of promotion of human rights in India as well as globally

Unit-5
Teaching Hours:6
RECOMMENDATIONS
 

Suggestions to improve upon the weaknesses of the CSR for the protection of human rights

Text Books And Reference Books:

"Human Rights and Business: Direct Corporate Accountability for Human Rights"-  Lara Blecher and Nancy Kaymar Stafford,  1st edition, Routledge publication.

"Business and Human Rights: From Principles to Practice"-  Dorothée Baumann-Pauly and Justine Nolan, 1st edition, Routledge publication

"Corporate Social Responsibility: An Ethical Approach"- Mark S. Schwartz, 1st edition, Broadview Press

Essential Reading / Recommended Reading

"Corporate Social Responsibility: Readings and Cases in a Global Context" by Andrew Crane, Dirk Matten, and Laura J. Spence.

"The Responsibility to Protect: Human Rights and the New Global Moral Compact" by Ramesh Thakur and William Maley.

Evaluation Pattern

Assessment details

CIA 1 - 25 marks. 

CIA 2   - 25 Marks 

CIA 3 -  50 marks.

Students must bring their own sheets, stapler and necessary stationery with them on the date of the exam.

MAT101-1N - 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

 

Course Description: Calculus is a discipline of mathematics that studies limits, motion, and rates of change. Proficiency in calculus is vital for math students for a better understanding of the subject and the advancement of the field. This course offers a modern introduction to calculus with a conceptual knowledge of the underlying mathematical concepts as its primary objective.

Course Objectives​: This course will help the learner to

COBJ 1: develop a solid understanding of the concepts in differential calculus such as limit, continuity and differentiability and their inter-relationships.

COBJ 2: to acquire the ability to think logically and precisely; understand, apply and generalise mathematical ideas.

COBJ 3: recognize the appropriate tools of calculus to solve applied problems.

Learning Outcome

CO1: understand limits, continuity, and derivatives of functions.

CO2: apply mean value theorems, Taylor series and optimality tests in practical problems.

CO3: demonstrate mastery of partial differentiation of functions of several variables and their applications to various fields.

CO4: employ the knowledge in differential calculus to tackle practical problems.

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

Rates of change and tangent lines to curves, limit of a function and limit laws, the precise definition of a limit, one-sided limits, continuity, limits involving infinity; asymptotes of graphs, derivative at a point, derivative as a function, differentiation rules, derivative as a rate of change, rules of differentiation.

Sections: 2.1-2.6, 3.1-3.7.

Unit-2
Teaching Hours:20
Applications of Derivatives
 

Extreme values of functions on closed intervals, Rolle's theorem, mean value theorem, monotonic functions and the first derivative test, indeterminate forms, Taylor and Maclaurin series, curvature, and radius of curvature.

Sections: 4.1-4.3, 7.5, 10.8, 13.4.

Unit-3
Teaching Hours:20
Partial Derivatives
 

Functions of several variables, limits and continuity in higher dimensions, partial derivatives, the chain rule, Jacobians, directional derivatives and gradient vectors, tangent planes and differentials, extreme values and saddle points, Lagrange multipliers, Taylor’s formula for two variables, partial derivatives with constrained variables.

Sections: 14.1-14.10

Text Books And Reference Books:

G. B. Thomas, J. Hass, C. Heil, and M. D. Weir, Thomas’ Calculus, 14th ed. New Jersey, USA: Pearson Education, Inc., 2018.

Essential Reading / Recommended Reading

1.     H. Anton, I. Bivens, and S. Davis, Calculus: Early Transcendentals, 11th ed., New York, USA: Wiley, 2016.

2.     E. Mendelson, Schaum's Outlines Calculus, 6th Ed., USA: Mc. Graw Hill, 2021.

3.     N. P Bali, Differential Calculus, New Delhi: Laxmi Publications, 2019.

4.     J. Stewart, Single Variable Essential Calculus: Early Transcendentals, 2nd Ed., Belmont, USA: Brooks/Cole Cengage Learning., 2013.

5.     5. S. Narayanan, T. K. M. Pillay, Calculus, Reprint, S. Viswanathan Pvt. Ltd., India, 2009. (vol. I & II.)

6. J. Edwards, An elementary treatise on the differential calculus: with applications and numerous examples, Reprint, Charleston, USA: Biblio Bazaar, 2010.

Evaluation Pattern

CIA - 50%

ESE - 50%

MAT161-1N - INTEGRAL CALCULUS (2023 Batch)

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

Course Objectives/Course Description

 

Course Description:

This course aims at enabling the students to know various principles, problem solving skills in integral calculus and enables the students in applying it in finding length of arcs, surface areas and volumes of solids of revolution, improper integrals.

Course Objectives​:

COBJ 1:understand the fundamentals of integration and definite integration.

COBJ 2:establish reduction formulae for the integration of various types of functions.

COBJ 3:  understand and apply integration. 

Learning Outcome

CO1: Compute definite and indefinite integrals of algebraic, trigonometric, logarithmic and exponential functions using formulas and substitution.

CO2: Solve integration problems using basic techniques of integration, including integration by parts and partial fractions, improper integrals.

CO3: Solve integration problems using basic techniques of integration, including integration by parts and partial fractions, improper integrals.

CO4: Appreciate the use of reduction formulae in solving problems.

CO5: Solve applied problems using integration.

Unit-1
Teaching Hours:15
Elements of Integral Calculus
 

Recapitulation of methods of integration and Definite Integral, Reduction Formulae: Sinx, Cosx, Sinnx, Cosnx, Tannx, Cotnx, Multiplication of Sin and cos, etc  and related examples– Leibnitz rule for differentiation under integral sign.

Unit-2
Teaching Hours:15
Applications of Integral Calculus
 

Application of Integral Calculus: Length of arcs – Surface areas and Volumes of solids of revolutions for standard curves in Cartesian and Polar forms, Improper Integrals – beta and gamma functions – properties – relation between beta and gamma functions.

Text Books And Reference Books:

1. S. Narayanan and T. K. M. Pillay, Calculus, Reprint, India: S. Viswanathan Pvt. Ltd., 2009. (vol.I and II.)

Essential Reading / Recommended Reading
  1.  J. Stewart, Single Variable Essential Calculus: Early Transcendentals, 2nd ed.: Belmont, USA: BROOKS/COLE Cengage Learning, 2013.
  2. G. B. Thomas and R. L. Finney, Calculus and Analytical geometry, 10th ed., USA: Addison – Wesley, 2000.
  3. S. Narayan, Integral Calculus, 10th revised ed. New Delhi: S. Chand and Company Ltd., 2005.
  4. G. K. Ranganath, Text book of B.Sc., Mathematics, Revised ed.,  New Delhi, India: S Chand and Co., 2013.
  5. F. Ayres and E. Mendelson, Schaum's Outline of Calculus, 6th ed. USA: Mc. Graw Hill., 2013.
  6. N. P. Bali, Integral Calculus, 11th ed. New Delhi, India: Laxmi Publications (P) Ltd.., 2011.
  7. D. Bhardwaj, Integral Calculus made easy, 1st ed. NewDelhi: Laxmi Publications (P) Ltd., 2006.
  8. M. Spivak, Calculus, 3rd ed., Cambridge University Press, 2006.
  9. T.M. Apostol, Calculus vol-1, 2nd ed., Wiley India Pvt. Ltd., 2011.
  10. T.M. Apostol, Calculus vol-2, 2nd ed., Wiley India Pvt. Ltd., 2007.
Evaluation Pattern

ESE - 50%

CIA - 50%

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

 

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

MAT101-2N - INTRODUCTORY ALGEBRA (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 developing the ability for logical arguments and perform mathematical computations. It also helps the students to understand the theory of equations and matrices and develop a solid foundation in mathematics. 

Course Objectives​: This course will help the learner to

COBJ 1: Develop logical foundations to understand and construct logical arguments to support or refute mathematical assertions.

COBJ 2: Understand the techniques to solve polynomial equations of higher degrees.

COBJ 3:  Gain knowledge in matrix algebra, spectral theory, and their applications.

Learning Outcome

CO1: Demonstrate mathematical logic to write mathematical proofs and solve problems.

CO2: Demonstrate proficiency in solving algebraic equations.

CO3: Apply matrix theory to model real-life problems and find their solutions.

CO4: Communicate the basic and advanced concepts of the topic precisely and effectively.

Unit-1
Teaching Hours:15
Mathematical Logic
 

Propositions, logical operators, truth tables, implications and equivalences, tautology and contradictions, rules of inference, predicates, quantifiers, nested quantifiers, arguments, formal proof methods and strategies.

Unit-2
Teaching Hours:15
Theory of Equations
 

General properties of equations, solving equations, relations between roots and coefficients, symmetric functions of roots, transformations of equations, Descarte’s rule of signs, Cardon’s method for cubic equations, solutions to biquadratic equations

Unit-3
Teaching Hours:15
Theory of Matrices
 

Types of Matrices: Idempotent, nilpotent Hermitian, skew-Hermitian, and unitary matrices and its properties. Elementary row operations, rank, inverse of a matrix using row operations, Echelon forms, normal forms, system of homogeneous and non-homogeneous equations, Cayley Hamilton theorem, eigenvalues and eigenvectors, diagonalization of square matrices, quadratic forms

Text Books And Reference Books:
  1.  K.H. Rosen, Discrete Mathematics with Applications, 8th ed., New York: McGraw-Hill Higher Education, 2019.

  2.  H. Krishnan, Theory of Equations, New Delhi: Atlantic Publishers and Distributors, 2022.

  3. B S Vatsa, S Vatsa, Theory of Matrices, London: New Academic Science, 2012.

Essential Reading / Recommended Reading
  1. J. P. Tremblay and R. Manohar, Discrete Mathematical Structures with Application to Computer Science, Reprint, India: Tata McGraw Hill Education, 2008.

  2. R. P. Grimaldi, Discrete and Combinatorial Mathematics: An Applied Introduction, 5th ed., New Delhi: Pearson, 2014.

  3. H. S. Hall, S. A. Knight, Higher Algebra, Culcutta: Sreeedhar Prakashani, 1957.

  4. A. Singh, Introduction to Matrix Theory, Switzerland: Springer, 2016.

  5. L. E. Dickson, First Course in Theory of Equations, New York: John Wiley & Sons, 1922.

  6. S. Narayan and P.K. Mittal, Textbook of Matrices, 10th ed., New Delhi: S Chand and Co., 2004.

Evaluation Pattern
  • CIA: 50%
  • ESE: 50%

MAT102-2N - DIFFERENTIAL EQUATIONS (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 aims at introducing the students to the methods of solving ordinary and partial differential equations.

Course objectives​: This course will help the learner to

COBJ 1:   Solve first and higher order ordinary differential equations.

COBJ 2:   Form PDE and solve linear and nonlinear PDE’s of the first order.

Apply the concepts of ODE and PDE to solve real-world problems.

Learning Outcome

CO1: Recognize different types of first order differential Equations and use appropriate methods to solve.

CO2: Solve higher order Differential Equations with constant and variable coefficients.

CO3: Investigate real - world problems using Differential Equations.

Unit-1
Teaching Hours:20
First Order ODE's
 

Solution of ordinary differential equations of the first order and first degree: Variable separable, homogeneous, linear and exact differential equations. Solution of first order and higher degree differential equations - Clairaut’s equation. Orthogonal trajectory. 

Unit-2
Teaching Hours:20
Solution for Second and Higher Order Ordinary Differential Equations
 

Linear homogeneous equations with constant coefficients, linear non-homogenous equations, the Cauchy-Euler equation, simultaneous differential equations with constant coefficients. Second order linear differential equations with variable coefficients by the following methods:(i) when a part of complementary functions is given, (ii) reducing to normal form,(iii) change of independent variable, and (iv) variation of parameters, and (v) by finding the first integral (exact equation), and the equations of the form dx/P = dy/Q = dz/ R.

Unit-3
Teaching Hours:20
Partial differential equations
 

Order and degree of partial differential equations, formation of first order partial differential equations, linear partial differential equation of first order - Lagrange’s equation, non-linear partial differential equation of first order, Charpit’s method. 

Text Books And Reference Books:
  1. G. F. Simmons, Differential Equations with Applications and Historical Notes, 2nd Ed., New York McGraw Hill, 2006.
  2. I. Sneddon, Elements of Partial Differential Equations, McGraw-Hill, Reprint, Courier Corporation, 2013. 
Essential Reading / Recommended Reading
  1.  M. D. Raisinghania, Ordinary and Partial Differential Equation, S. Chand & Co. Ltd., 18th Ed., 2015.
  2.  D. G. Zill, W. S. Wright, Advanced Engineering Mathematics, 4th Ed., Jones and Bartlett Publishers, 2010.
  3. S. L. Ross, Differential Equations, 3rd Ed. (Reprint), John Wiley and Sons, 2007.
Evaluation Pattern

CIA: 50%
ESE: 50%

MAT111-2N - CALCULUS USING PYTHON (2023 Batch)

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

Course Objectives/Course Description

 

This course aims toprovide fundamentals of Python programming language like data structures, programming structures, functions, plotting 2D, 3D graphs. Students will explore python tools, libraries, packages to use in Algebra, Calculus and differential equations.  

COBJ 1:  gain proficiency in using Python for programming.

COBJ 2:  acquire skills in usage of suitable functions/packages of Python.

COBJ 3: apply the knowledge of python for Algebra, Calculus and Differential equations.

 

Learning Outcome

CO1: acquire proficiency in using programming and its features.

CO2: demonstrate the use of programming concepts and visualizing data.

CO3: illustrates the use of python tools, libraries and packages in Algebra, Calculus and differential equations.

Unit-1
Teaching Hours:10
Fundamentals of Python Programming
 

Installation, Getting started with python, Variables, Data structures, Modules, Functions, programming structures, Standard plots (2D, 3D), Scatter plots, Slope fields, Vector fields, Contour plots, stream lines.

Unit-2
Teaching Hours:10
Symbolic and Numeric Computations
 

Use of SymPy and NumPy package, Basic algebraic operations with polynomials/rational functions, trigonometric simplifications, exponential and logarithms functions, solving algebraic equations, Calculus-limits, derivatives, integrals, series expansion.

Unit-3
Teaching Hours:10
Solving Differential Equations
 

Finding solutions and plotting the solution curves of first and second order differential equations, Mathematical models of first order differential equations.

Text Books And Reference Books:

H. P. Langtangen, A Primer on Scientific Programming with Python, 2nd ed., Springer, 2016.

Essential Reading / Recommended Reading

1. H. Brian, A Practical Introduction to Python Programming, Creative Commons Attribution, 2012.

2. A. Saha, Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!, No Starch Press, 2015.

Evaluation Pattern

100%

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%

PSY159N - PSYCHOLOGY OF LEADERSHIP (2023 Batch)

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

Course Objectives/Course Description

 

This multidisciplinary course examines the concept of leadership and the psychological and social processes that characterize leadership. We will explore the qualities of effective leadership and the role of situational factors that make some forms of leadership more effective than others. We will explore paradox and complexity in discussions of leadership and will explore the dynamics of identity and power in the unfolding of leadership. In this course, students will not only learn about leadership in traditional ways, such as readings and discussion, but will explore their personal leadership style and plan their goals for personal leadership growth.

Learning Outcome

1: Understand and differentiate leadership models, styles, and functions.

2: Enhance learners? knowledge about leading and sustaining diverse teams under diverse circumstances.

3: Develop a personal leadership plan using leadership models.

Unit-1
Teaching Hours:15
Understand and differentiate leadership models, styles, and functions.
 

Introduction, Functions of a leader, Models, and theories of leadership, Styles in leadership, and Qualities of effective leadership.

Unit-2
Teaching Hours:15
Enhance learners? knowledge about leading and sustaining diverse teams in diverse circumstances.
 

Leadership and Power, Leadership and Gender, Leadership and Personality, Leadership and EQ, Leadership and Morals.Leadership and Decision making.

Unit-3
Teaching Hours:15
Develop a personal leadership plan using leadership models.
 

Personal leadership development models, self analysis and strength mapping, goal setting models.

Text Books And Reference Books:
  • Haslam, S. A.,Reicher, S. D. & Platow, M. J. (2020): The New Psychology of Leadership: Identity, Influence and Power. Routledge 
  • Northouse, P.G. (2022). Leadership. Written tests, Class quizzes, reflective reports. Theory and Practice. ISE Sage. 
  • Barling, J. (2014). Science of leadership. Oxford: Oxford University Press.

 

Essential Reading / Recommended Reading

Rowe, W. G., & Guerrero, L. (2016). Cases in leadership (4th ed.). Sage.

Kotter, J.P. (2012). Leading Change. Harvard Business Review

Evaluation Pattern

ASSESSMENT OUTLINE

CIA 1       CIA 2       CIA 3         Attendance + Class Participation 

20           20            50                      10

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%