Gain insights into connecting discrete mathematics with programming. Explore variables, expressions, data structures, and algorithm design to enhance your problem-solving and implementation skills.

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java and C++

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Discrete mathematics is the basis of several popular algorithms. This course shows the discreteness of data structures and algorithms. It can benefit programmers with a non-CS background looking to strengthen their foundations by connecting theoretical concepts with practical programming scenarios.

The course starts with discussing relating discrete mathematics with algorithms and data structures. You will have examples demonstrating variables, conditional expressions, and arrays as basic building blocks of programming. Then, you will use classes and objects to define and implement linear data structures. You will also learn about the binary tree traversals and templates and the topics of time complexity, set difference, and rearranging the values in a string.

By the end of the course, you will have a strong grasp of algorithm design, data structure implementation, and overall problem-solving.

Programming Discrete Math Concepts for Beginners

# Introduction to discrete mathematics

We need to understand what discrete mathematics is and its relationship with computer science before we learn how to implement discrete mathematical concepts in the various fields of computer science. 


As mentioned before, we’ve tried to implement discrete mathematical concepts in algorithms and data structures so we can better understand these concepts.

**Discrete mathematics (DM)** is a branch of mathematics. To be very particular, it’s the study of mathematical structures and objects that are discrete.

People, animals, chairs, and everything we see around us fall under this mathematical study. Why? Because they’re discrete and distinct. They’re not continuous. 



Learn how discrete mathematics is related to programming.

Course Introduction

Programming Language and Boolean Algebra

Logical Expressions and Algorithms

Arrays and Discrete Mathematics

Classes, Objects, and Methods

Linear Data Structures

Tree, Algorithms, and Templates

Time Complexity

Propositional Logic

Combinatorics

Wrapping Up

What is Discrete Mathematics?

Introduction to discrete mathematics