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

## Understanding algorithms from mathematics to computation
Algorithms are one of the main branches of computer science and discrete mathematics. This is why we use concepts and notations from discrete mathematics in computational algorithms. We can map any problem from mathematical form to a computer program with the help of the same algorithm.


# Understanding algorithms from mathematics to computation
Algorithms are one of the main branches of computer science and discrete mathematics. This is why we use concepts and notations from discrete mathematics in computational algorithms. We can map any problem from mathematical form to a computer program with the help of the same algorithm.


Learn to optimize an algorithm with programming constructs.

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

Improving an Algorithm

Understanding algorithms from mathematics to computation