Discrete math, also known as “math for computer science” is usually a required course for students of computer science. The material typically covered in this class for CS students overlaps with fields such as cryptography, logic, information theory, theoretical computer science, artificial intelligence, design of algorithms, and others, and teaches the basic language and structures used by computer scientists.
Sometimes discrete math is listed as a mathematics course. As a math class, it mainly deals with other abstract concepts (algebra, groups, or combinatorics) with a correspondingly heavier focus on proofs. A common characteristic of these classes is that for most students this is their first encounter with mathematical structures and proof. Unlike, for example, calculus classes, there is no commonly accepted definition or syllabus for this course and its content varies by school.
The goal of this topic is to provide important representation models for data sets. This class provides ways for refining the original data model to something more easily understandable in respect of 1) representation format and 2) operations that can be executed on discrete data.
Most discrete math – computer science classes cover the following topics in some order and with varying degrees of depth:
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