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PROGRAMME CORE COURSES
QUANTITATIVE
EIA1011 STATISTICS I
3 Credits
Pre-requisite None
Learning At the end of the course, students are able to:
Outcomes
1. Define types of data and data collection methods.
2. Show data visually and numerically.
3. Identify the basic concepts of probability and discrete probability distribution for
problem solving.
Synopsis The course covers basic concepts and their application in various fields for the following
topics:
2. Defining and collecting data
3. Organizing and visualizing variables
4. Numerical descriptive measures
5. Basic Probability
6. Discrete probability distributions
Medium of English
Instruction
Assessment Continuous Assessment : 40%
Weightage Final Examination : 60%
EIA1012 MATHEMATICS
3 Credits
Pre-requisite None
Learning At the end of the course, students are able to:
Outcomes
1. Perform algebraic operations for polynomial, exponential, and logarithmic functions.
2. Compute limits, derivatives, and integrals of various functions.
3. Perform algebraic operations for systems of linear equations and matrix algebra.
Synopsis The course covers basic concepts and their application in business, economics and
administration for the following topics:
1. Functions and graphs
2. Limits and continuity
3. Differentiation
4. Integration
5. Matrices
Medium of English
Instruction
Assessment Continuous Assessment : 40%
Weightage Final Examination : 60%