This specialization builds the core discrete mathematics toolkit used throughout computer science, with a focus on logic, counting, algorithms, recursion, and probability. Learners develop rigorous problem-solving and reasoning skills that are essential for algorithm analysis, data structures, cryptography, and theoretical foundations of computing. Through practical examples and proofs, the courses emphasize how discrete mathematical concepts directly support efficient and correct algorithm design.
Applied Learning Project
Learners work through carefully designed discrete mathematics problems that mirror real-world computer science scenarios, such as algorithm analysis, logical reasoning, counting, and probabilistic modeling. These problem sets require applying discrete math techniques to solve realistic computational problems and justify solutions using precise mathematical reasoning.
