CS 215 : Data Analysis and Interpretation
Course Code CS 215
Course Name Data Analysis and Interpretation
Offered to UG/PG
Pre-requisites NIL
Lecture 3
Tutorial 0
Practical 0
Credit 6
Reference 1. Introduction to Probability and Statistics for Engineers and Scientists, S. Ross, 2007
Reference Texts:
1. An Introduction to probability theory and its applications. (Vols. 1, 2), W Feller, 3/e
Description Objective: The course gives an elementary-level introduction to probability and statistics for engineers and scientists. Along with theory and methods, this course focuses on applications in real-life using statistical computing and graphics tools, e.g., R programming language.
Contents: • Data visualisation tools and techniques
•Discrete experiments, Probability space, Equally-likely outcomes and combinatorial problems, Non-equally likely outcomes
•Conditional probability, Bayes formula, Independent events
• Random variables, Binomial and Poisson distributions, Expectation, Variance, Linearity of expectation
• Markov and Chebyshev inequalities, simple applications
• Joint distributions, joint densities, correlation
• Statistics, sampling, central limit theorem, hypothesis testing