CHRIST (Deemed to University), Bangalore

DEPARTMENT OF economics

social-sciences

Syllabus for
Bachelor of Science (Economics, Mathematics, Statistics)
Academic Year  (2020)

 
    

    

Introduction to Program:

The course is designed to develop students with respectable intellectual levels. It seeks to expose the students to various concepts in Economics, Mathematics and Statistics and encourage them to uphold scientific integrity and objectivity in professional endeavors. Economics : The undergraduate courses in economics are structured to contribute to the student?s liberal education with a multiplicity of combinations. The programmes impart analytical skills and intellectual maturity to comprehend the complexities in the working of the economy. The course provides a sound theoretical basis in economic theory supplemented by practical applications of theories. The first four semesters are devoted to give a firm background in microeconomics, macroeconomics, development economics & international economics. In the fifth and sixth semesters, the students take two compulsory courses namely Indian Economy since Independence & Financial Economics. They have elective courses in the final year encompassing two options each semester. The elective courses offered by the department are mathematical methods for economics or health economics in the fifth semester and statistical methods for economics or environmental economics in the sixth semester. Mathematics: The undergraduate course in Mathematics is designed to enable the students to lay a strong foundation in various fields of Mathematics. The course enables the students to develop a respectable intellectual level seeking to expose the various concepts in Mathematics. It also aims at enhancing the students reasoning, analytical and problem solving skills. The first four semesters are devoted to appreciate the beauty of mathematics through Differential Calculus, Differential Equations, Real Analysis and Algebra. In order to help the students in exploration of mathematical concepts through activities and exploration, FOSS (Free and Open Source Software) tool MAXIMA and the computer language "Python" are introduced. Students find better perceptions of the classical courses like Linear Algebra, Complex Analysis and the elective courses. Statistics:The department of Statistics introduces theoretical and practical usage of statistical concepts for data analysis and interpretation using statistical software. The courses deal with fundamentals, probability, inference, sampling, design of experiments, regression analysis, time series and few electives which are relevant for practical usage.

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

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

PO2: Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PO3: Demonstrate critical thinking with scientific temper

PO4: Communicate the subject effectively

PO5: Understand the importance and judicious use of technology for the sustainable growth of mankind in synergy with nature

PO6: Understand the professional, ethical and social responsibilities

PO7: Enhance the research culture and uphold the scientific integrity and objectivity

PO8: Engage in continuous reflective learning in the context of technological and scientific advancements

Programme Specific Outcome:

PSO1: Demonstrate the problem solving skills in mathematical sciences.

PSO2: Use effectively the mathematical and statistical tools in the analysis of economic and social problems.

PSO3: Address current economic issues and trends.

PSO4: Exhibit a strong foundation in Statistical analytics

PSO5: Express proficiency in oral and written communications to appreciate innovation in research.

PSO6: Demonstrate industry-focused skills to lead a successful career.

Assesment Pattern

Exam pattern for theory

Component

Marks

CIA I

10

Mid Semester Examination (CIA II)

25

CIA III

10

Attendance

05

End Semester Exam

50

Total

100

For Mathematics Practical Courses:

The course is evaluated based on continuous internal assessments (CIA) and the lab e-record. The parameters for evaluation under each component and the mode of assessment are given below.

 

Component

Parameter

Mode of  Assessment

Maximum

Points

CIA I

Mastery of the  concepts

Lab Assignments

20

CIA II

Conceptual clarity and analytical skills

Lab Exam - I

10

Lab Record

Systematic documentation of the lab sessions.

e-Record work

07

Attendance

Regularity and Punctuality

Lab attendance

03

95-100% : 3

90-94%   : 2

85-89%   : 1

CIA III

Proficiency in executing the commands appropriately,.

Lab Exam - II

10

Total

50

 

Exam Pattern for Statistics practicals

Component

Points

CIA of experiments

80

Test 1

25

Test 2

35

Viva-Voce Exam

10

Total

150

                  Total Marks : 50

Examination And Assesments

EXAMINATION AND ASSESSMENT S

For Theory Courses:

Continuous Internal assessment ( CIA) forms 50% and the end semester examination forms the other 50% of the marks in theory. CIA marks are awarded based on the their performance in assignments, MSE and class assignments ( Quiz, presentations, Moodle based tests, problem solving, minor projects, MOOC etc.). The MSE & ESE for each theory paper is of two & three hours respectively.

CIA I and CIA III are conducted by respective faculty in the form of different types of assignments.

MSE will be held for odd semesters in the month of August and even semesters in the month of January.

ESE:The theory as well as practical courses are held at the end of the semesters.