Discrete Math for Computer Science - Counting & Probability

This course develops the mathematical tools needed to count, measure uncertainty, and reason about random processes, which are central to computer science, data analysis, and algorithm design. Building on the logical foundations from the first course, it introduces combinatorial counting techniques and probability theory through a discrete, computation-oriented lens. The course begins with the fundamentals of counting, including the product rule, sum rule, permutations, combinations, and binomial coefficients. You will learn how to count complex structures efficiently using techniques such as…