Learning Outcomes
At the end of the course, students should be able to:
1. explain the differences between permutation and combination;
2. explain the concept of random variables and relate it to probability and distribution
functions;
3. describe the basic distribution functions; and
4. explain the concept of exploratory data analysis.
Course Contents
Permutation and combination. Concepts and principles of probability. Random variables.
Probability and distribution functions. Basic distributions: Binomial, geometric, Poisson, normal
and sampling distributions; exploratory data analysis.
