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

The Department of Computational Sciences at CHRIST (Deemed to be University) Delhi- NCR has created a niche in the realm of higher education in India through its programmes. Currently, the department offers a wide array of undergraduate courses with multiple specializations in the disciplines of Computer Science, Statistics & Mathematics. This is an ideal place for students with a research blend of mind to explore his/her passion.

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

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

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

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

This programme prepares students to become Data Analysts and Economists with various career options, such as Associate Data Analysts, Public Policy Makers, Professors, Civil Servants, Actuaries, Defense Personnel, Researchers, and BFSI (Banking, Financial Services & Insurance). Also, based on the latest NEP guidelines, this programme offers a unique blend of the flexible credit system to support the individual learning needs with research bent. This programme is extended to the fourth year as a B.Sc.(Hons) in Economics or Data Analytics, with or without research. 

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO2: To address the challenging requirements in the domain related to Data Analytics and Economics.

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

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

PO5: Demonstrate problem-solving skills using mathematical techniques

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.

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

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

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

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

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

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

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

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

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

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

Attendance 5 marks 

Total 50 marks 

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.

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

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.

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. 

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

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

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 6^th Edition, towards the end of the video.
3. The video interview should be a minimum of 15 minutes.
4. Last date for submission 10^th 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.

2. References as per APA 6^th Edition, and Appendix.
3. Detailed analysis of the problem and alternatives available should form part of the report.
4. The written report should be a minimum of 6 pages.
5. Last date for submission 30^th 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 6^th Edition, and Appendix.

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

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.

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-

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.

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

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)

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),

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

CIA2  25 marks 

ESE  50 marks 

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

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

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

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

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

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

Post test

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

Course Objectives:

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

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

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

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

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

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

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

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

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

Introduction to Boolean Algebra- postulates- Theorems.

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

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

Flip Flops.

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

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

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

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

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

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

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

50% ESE

Course Description:

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

Course Objectives:

To provide comprehensive knowledge of Python programming paradigms.

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

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

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

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

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

LAB 2: Implement Lists

LAB 3: Implement Tuples

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

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

LAB4: Implement Dictionary

LAB5: Implement Set

Comprehensions: List Comprehensions, Set Comprehension, Dictionary Comprehension.

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

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

LAB6: Implement List, Set and Dictionary Comprehensions

LAB 7: Implement Recursive function

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

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

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

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

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

50% ESE

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.

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.

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.

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.

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.

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

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

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

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

Pindyck, R. S., &Rubinfeld, D. L. (2013). Microeconomics (8^th 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 (7^th ed.). Oxford: Oxford University Press.

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

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.

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

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.

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.

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

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

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

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.

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.

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. 

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

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

Understanding Gender, Sex, and Gender Identity | Psychology Today

eso-01-block-6-unit-21 (egyankosh.ac.in)

• 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.

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

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

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

Thinking Like a Mountain  By Aldo Leopold

Note taking

Aarushi-Hemraj Murder Article 

Newspaper report

 My Story- Nicole DeFreece

Essay writing

Paraphrasing and interpretation skills

• Casey at the Bat-  Ernest Lawrence Thayer

CIA 2=50 

CIA 3= 20 

ESE= 50 marks

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

 To introduce the students to:

●       The nature, scope and importance of International Relations/Politics

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

●       The contemporary global issues

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

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

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

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

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

Environmental Issues, Terrorism, Human Security, Migration.

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

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

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

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

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

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

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

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. 

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.

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.

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.

[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.

ESE: 50%

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.

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

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

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

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.

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.

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

CIA-2=25 Marks

CIA-3=30 Marks

Viav-Voce= 15 Marks

Attendance= 5 Marks

Total= 100 Marks

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

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

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

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

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

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

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

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

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

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

ESE 50%

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

Course Objectives 1. To understand the various AI techniques. 

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

2. Create a simple chat box using turing test.

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

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

5. Implement Forward chaining

6. Implement Backward chaining

7. Implement basic probabilities.

8. Implement Bayes’ theorem in python.

9. Write a python program for Inference with Bayesian Network

10. Write a python program for Cluster Bayesian Network

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

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

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

ESE 50%

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

Course Objectives:

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

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

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

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

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

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

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

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

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

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

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

ESE 50%

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.

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.

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.

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.

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

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.

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

Mankiw, N. G. (2015). Macroeconomics (9^th 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.

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.

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.

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

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.

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.

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.

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.

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

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

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

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

• 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.

Witches’ Loaves

O Henry

Presentation skills

In the Height of Fashion-Henry Lawson

Report writing

The Story of Mumbai Dabbawalas- ShivaniPandita

Resume Writing

Interview skills and CV writing

If

By Rudyard Kipling

Who were the Shudras?

By Dr Ambedkar

Developing arguments- debating

Developing arguments- debating

Dhauli

By JayantaMahapatra

email writing

An Occurrence at Owl Creek Bridge by Ambrose Bierce

Truth in the time of Social Media' by Girish Balachandran

MSE-50

CIA3- 20

ESE- 50

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

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

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

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

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

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

Active listening skills and empathetic communication,

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

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

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

Miller, Chapter 1: The Building Blocks of Relationships

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

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

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

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

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

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.

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.

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

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

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

[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.

ESE: 50%