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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momoexp4.tar.gz

java and C++

OnlyPython

OnlyJava

OnlyCplusplus

OnlyC

JavaLang3

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 De Morgan’s laws

In this lesson, we’ll learn about De Morgan’s laws based on Boolean algebra and logical expression.

Augustus De Morgan was a contemporary mathematician of George Boole. Although he didn’t create the laws using his name, they are credited to him because he was the creator.

**De Morgan’s laws** are based on Boolean algebra, and in every programming language, they’re widely applied and equally valid.
The rule states that we can write the way we see below, where `a` and `b` are two boolean values (true or false):



Learn to code De Morgan's laws in the PHP and Java languages.

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

Coding De Morgan’s Laws

Introduction to De Morgan’s laws