Department of
ECONOMICS






Syllabus for
Bachelor of Science (Economics, Mathematics)
Academic Year  (2023)

 
3 Semester - 2022 - Batch
Paper Code
Paper
Hours Per
Week
Credits
Marks
ECO331Y INTERMEDIATE MICROECONOMICS 3 3 100
ECO332Y INTERNATIONAL ECONOMICS 3 3 100
MAT331 REAL ANALYSIS 4 4 100
MAT332Y COMPLEX ANALYSIS 4 2 50
STA311Y R-PROGRAMMING 2 2 50
STA361Y STATISTICAL METHODS 3 3 100
4 Semester - 2022 - Batch
Paper Code
Paper
Hours Per
Week
Credits
Marks
ECO431Y INTERMEDIATE MACROECONOMICS 3 3 100
ECO432Y INTRODUCTION TO PUBLIC FINANCE 3 3 100
MAT431 ALGEBRA 4 4 100
MAT451Y DATA ANALYSIS USING PYTHON 2 2 50
MAT461Y FUNDAMENTALS OF ACTUARIAL SCIENCE 2 2 50
MAT462Y APPLIED MATHEMATICS FOR ECONOMICS 3 3 100

ECO331Y - INTERMEDIATE MICROECONOMICS (2022 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 give a systematic introduction to mainstream approaches to the study of microeconomics. The course begins by introducing students to the theories and derivation of demand and supply. Then the course proceeds with a systematic introduction to the theories of production. With the understanding of laws of production, cost, revenue, and functioning of various markets are introduced. The course has been designed in such a way that it stimulates awareness on essential variables for the understanding of how consumers and firms derive various decisions.

 

Course Objectives

The course has been conceptualised in order to help students:

  • Develop an understanding of the conceptual foundations and analytical methods used in Microeconomics.
  • Familiarise with the basics of consumer behaviour and decision-making criteria.
  • Analyse and understand relationships and interactions in various forms of markets.

Learning Outcome

CO1: Understand and interpret the factors influencing consumer behaviour and derive market demand and supply.

CO2: Understand and evaluate the production function and various laws of production.

CO3: Distinguish between the various approaches on theories of cost.

CO4: Understand various concepts of revenue and analyse the dynamic interactions between demand and supply in various market structures.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECO332Y - INTERNATIONAL ECONOMICS (2022 Batch)

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

Course Objectives/Course Description

 

This course provides the basics of international trade theory stems from classical to new trade theories, and international economic policies on domestic and world welfare. This course begins with an introduction to international trade. Then the neo classical trade theories and new trade theories are discussed. The course concludes with a discussion on trade policies and its controversies. The course uses the empirical evidences to explain the theories and models in international trade.

Learning Outcome

CO1 : demonstrate a strong foundation in the theories of international economics

CO2: examine the trade policies and practices adopted globally

CO3: analyse the effects of economic integration on the economy

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAT331 - REAL ANALYSIS (2022 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 enables the students to understand the basic techniques and theories of real Analysis.

 

Course objectives : This course will help the learner to

COBJ1. examine the convergence or divergence of sequences and series.

COBJ2. understand the different types of convergence and their properties.

 

Learning Outcome

Course outcomes : On successful completion of the course, the students should be able to

CO1. Quote and understand the definition of a limit of a sequence or a function in its various forms.

CO2. Demonstrate the convergence or divergence of the geometric and harmonic series and other standard series.

CO3. Apply the basic tests for convergence of infinite series.

CO4. Prove the tests for convergence: Comparison Test, Ratio Test, Cauchy’s Root test, Raabe’s Test, alternating series test etc.

CO5. Understand the differences between convergence and absolute convergence

CO6. Understand and solve binomial , logarithmic and exponential series

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAT332Y - COMPLEX ANALYSIS (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:50
Credits:2

Course Objectives/Course Description

 

Course Description: This course enables the students to understand the basic theory and principles of complex analysis.

Course Objectives​: This course will help the learner to

COBJ1. Understand the theory and geometry of complex numbers.

COBJ2. Evaluate derivatives and integrals of functions of complex variables.

COBJ3. Examine the transformation of functions of complex variables. 

Learning Outcome

CO1: Understand the concepts of limit, continuity, differentiability of complex functions

CO2: Evaluate the integrals of complex functions using Cauchy?s Integral Theorem/Formula and related results

CO3: Examine various types of transformation of functions of complex variables.

CO4: Apply the concepts of complex analysis to analyze and address real world problems.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

STA311Y - R-PROGRAMMING (2022 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 provides an introduction to R, statistical language, and an environment that provides more flexible graph capabilities than other popular statistical packages. The course also covers the basics of R for statistical computation and exploratory analysis.

Course Objectives:

This course is to equip the students to visualize and analyse the data using R and to communicate statistical results in correct manner. 

Learning Outcome

CO1: Understand R and R studio and create reports using R markdown.

CO2: Demonstrate data handling using statistical tool R.

CO3: Demonstrate the usage of R for introductory Statistics.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

STA361Y - STATISTICAL METHODS (2022 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, and 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.

CO4: Formulate hypotheses, test using statistics, interpret results with p-values for a research question.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECO431Y - INTERMEDIATE MACROECONOMICS (2022 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 in continuation to the Introductory Macroeconomics course offered in the second semester. The course first introduces students to the mathematical framework for Keynesian economics – ISLM. Then the links between output, inflation, and unemployment and the effectiveness of policies are discussed from the Keynesian and the Monetarist perspectives. The third unit then introduces students to the open economy framework, and the course concludes with a discussion on the contemporary debates in the field of macroeconomic theory and policies.

Course Objectives

The course aims to:

  • enhance the understanding of the learners regarding the macroeconomic dynamics in the short-run closed as well as open economy.
  • understand and analyse the nexus between output, inflation and unemployment in both the short-run and in the long-run.
  • understand and critically evaluate contemporary macroeconomic policies, create reports and deliver presentations

Learning Outcome

CO1: Upon completion of the course, the students will be able to explain the macroeconomic dynamics in the short-run closed economy as well as open economy.

CO2: Upon completion of the course, the students will be able to test and discover the nexus between output, inflation, and unemployment in both the short run and the long run.

CO3: Upon completion of the course, the students will be able to evaluate the pros and cons of various macroeconomic policies in the real-world context, create reports following APA guidelines; and deliver presentations before peers.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECO432Y - INTRODUCTION TO PUBLIC FINANCE (2022 Batch)

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

Course Objectives/Course Description

 

Public Economics is the study of government policy from the point of view of economic efficiency and equity. This course introduces students to allocation,distribution, stabilisation and regulatory functions of government. The course discusses about concept of public goods, club goods, and merit goods, andanalyses causes of externalities and market failures. It then does a systematic analysis of sources of government revenue, expenditure, public debt which is inclusive of theories on taxation, public expenditure and Economist views on public debts to provide students a broader perspective to analyse such issues. Last unit, provides a thorough understanding on fiscal institutions with a careful analysis of the issues pertaining to budgetary policies in general and Indian experience in particular.

Learning Outcome

CO1: Develop an understanding about the various functions of government.

CO2: Understand the sources of market failure and the need for government intervention and its possible outcomes.

CO3: Develop a critical understanding of the key theories of public economics.

CO4: Explain the various component of government budget and its wider impact on the economy.

CO5: Examine the role of government institutions in centre-state financial relationship.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAT431 - ALGEBRA (2022 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 developing the ability to write the mathematical proofs.  It helps the students to understand and appreciate the beauty of the abstract nature of mathematics and also to develop a solid foundation of theoretical mathematics.

Course objectives : This course will help the learner to

COBJ1. Understand the fundamentals of groups and its theories.

COBJ2. Relate abstract algebraic constructs to more familiar sets and operators

COBJ3. Know about the subgroups and group homomorphisms

COBJ4. Get familiar with the theories on rings, integral domains and fields.

Learning Outcome

CO1: Describe and generate groups, rings and fields.

CO2: Identify and differentiate different structures and understand how changing properties give rise to new structures.

CO3: Demonstrate the knowledge of concepts of rings and fields.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAT451Y - DATA ANALYSIS USING PYTHON (2022 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 is aimed at enabling the students to appreciate and understand the concepts of mathematics and statistics with the help of Python programming language. Students will learn to use the tools, libraries and packages useful for data analysis.

Course Objectives:

This course will help the learner to:

  • gain proficiency in using Python for programming. 
  • acquire skills in usage of suitable functions/packages of Python for data analysis.
  • acquaint with Numpy and Pandas packages for data manipulating and visualization.
  • illustrates use statistics methods to handle data effectively.

Learning Outcome

CO1: The students will acquire proficiency in using tools, libraries, packages of Python for data analysis.

CO2: The students shall demonstrate the use of Python tools for visualizing data.

CO3: The students will be familiar with the statistical methods for describing data.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAT461Y - FUNDAMENTALS OF ACTUARIAL SCIENCE (2022 Batch)

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

Course Objectives/Course Description

 

This course is designed to prepare students to pursue careers in Actuarial Science. The aim of this course is to provide grounding in Actuarial Mathematics and their applications. Topics covered include the economics of insurance, survival distributions, life tables, and different types of life insurance.

 

Course Objectives​:

This course will help the learner to acquire fundamental knowledge of  Economics of insurance, Life Tables,Survival Distributions and Life Insurance.

Learning Outcome

CO1: Understand the principles of Actuarial modeling and cash flow models and apply them to real-world problems

CO2: Apply the financial mathematics concepts like the time value of money, calculation of present values, and accumulated value of cash flows, annuities, project appraisals, NPV, loan schedules, etc.

CO3: Apply the life insurance concepts in introducing various life insurance products and their use.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAT462Y - APPLIED MATHEMATICS FOR ECONOMICS (2022 Batch)

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

Course Objectives/Course Description

 

This course is designed to help students to apply Calculus in solving Problems in Economics with the aid of FOSS tools.

Course Objective :

         COBJ 1:  Apply optimization techniques of calculus in Economics.

         COBJ 2:  Be familiar with the theory of integral calculus to understand concepts such as  Consumer/ Producer surplus,  Ramsey pricing, etc.

         COBJ 3:Use differential equations in conceptualising simple mathematical models in Economics.

Learning Outcome

CO1: Apply methods in calculus to solve optimization problems in Economics

CO2: Use integral calculus for various applications in Economics

CO3: Solve the mathematical models in Economics using differential equations

CO4: Use appropriate FOSS tools for mathematical computations

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern