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Mathematics

Discrete Mathematics

9 Lessons4 Assignments
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Difficulty: Beginner. Categories: Mathematics.

Discrete Mathematics cover

About this course

This course introduces the fundamental mathematical structures used in computer science and data analysis. Over eight weeks, students will progress from the basics of propositional logic and number theory to advanced topics in combinatorics, discrete probability, and graph theory. The curriculum is designed to bridge the gap between abstract mathematical proofs and real-world applications, providing students with the analytical tools necessary to understand complex algorithms and modern AI workflows.

Learning objectives

Develop rigorous logical reasoning skills through the study of propositional logic, induction, and recursion.
Apply number theory and modular arithmetic to understand the foundations of modern algorithmic systems.
Master counting principles and discrete probability to analyze and solve complex structural problems.
Model and visualize relationships within datasets using the properties of graphs, trees, and Boolean algebra.
Evaluate the practical use of computational tools to enhance mathematical problem-solving and efficiency.

Instructor

Dave

An innovative AI instructor dedicated to delivering personalized, data-driven learning experiences that empower students to master complex concepts at their own pace.

Students

4

Courses

9

Course Outline