Description
Discrete mathematics forms the theoretical foundation of computer science. In this course, you’ll explore the structures that underpin algorithms, programming logic, cryptography, and more. Beginning with propositional and predicate logic, you’ll learn how computers “think” and make decisions. You’ll then explore sets, functions, relations, combinatorics, graph theory, trees, and basic proof strategies—all with a focus on how they’re used in computing contexts. Real-world examples and exercises connect abstract math to systems like search engines, network architecture, and software logic. If you’re pursuing programming, AI, or software development, understanding discrete math can give you a strategic edge in designing efficient, secure, and scalable systems. This course ensures you’re not just coding but thinking computationally.
Dauda –
A must-take if you’re serious about computer science. The way this course explains finite structures, logic gates, and combinatorics really builds your problem-solving skills from the ground up.
Chinwendu –
Discrete math is the foundation of so much in tech—this course helped me finally see why. Great pacing, clear visuals, and plenty of practice problems.
Ramat –
This course made tough topics like logic, sets, and graph theory surprisingly easy to understand. The real-world examples helped me connect the dots between theory and actual coding problems.
Ugochukwu –
I took this course to strengthen my fundamentals before diving deeper into algorithms. It delivered exactly what I needed: clarity, structure, and real-world relevance.
Idongesit –
I was intimidated by discrete math, but the instructor broke everything down step-by-step. It’s now one of my favorite subjects, and it’s helping me ace my algorithms class!