Probability and Statistics

(4 Credits)

Most real world phenomena include non-deterministic or non-deterministically predictable features. The course is designed to provide an introduction to the mathematical treatment of such aspects, acquainting the students with both probability and statistics. The course includes: mathematical definition of probability; combinatorics; finite, discrete and continuous probabilities of single and joint random variables; law of large numbers and normal approximation; sampling; estimation; testing of hypotheses; correlation and regression.