Programming Discrete Math Concepts for Beginners

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

Beginner

73 Lessons

13h

Certificate of Completion

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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Explanations

AI-POWERED

Explanations

This course includes

159 Playgrounds
12 Challenges
9 Quizzes

This course includes

159 Playgrounds
12 Challenges
9 Quizzes

Course Overview

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 o...Show More

What You'll Learn

An understanding of the relationship between discrete mathematics and programming

An understanding of implementing basic algorithms as programs

Hands-on experience coding the basic data structures

Exposure to six different programming languages

What You'll Learn

An understanding of the relationship between discrete mathematics and programming

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Course Content

1.

Course Introduction

Get familiar with discrete math foundations, emphasizing algorithms, data structures, and programming links.
2.

Programming Language and Boolean Algebra

Solve challenges with Boolean algebra, logical expressions, and practical programming examples.
3.

Logical Expressions and Algorithms

Examine logical expressions, control constructs, and algorithms like Quicksort and Euclid's GCD.
4.

Arrays and Discrete Mathematics

Grasp the fundamentals of statistical measures, array manipulation, set operations, and probability in programming.
5.

Classes, Objects, and Methods

Take a closer look at classes, objects, methods, and optimizing algorithms for efficiency.
6.

Linear Data Structures

8 Lessons

Tackle practical applications of ArrayLists, linked lists, stacks, queues, deques, and combined structures.
7.

Tree, Algorithms, and Templates

15 Lessons

Build on algorithms, recursion, tree traversals, Java Collections, C++ templates, and practical challenges.
8.

Time Complexity

5 Lessons

Sharpen your skills in understanding and optimizing the efficiency of algorithms.
9.

Propositional Logic

4 Lessons

Unpack the core of propositional logic, sets, and set operations, crucial in programming.
10.

Combinatorics

4 Lessons

Examine combinatorial methods in permutations, combinations, and recursive algorithms for array challenges.
11.

Wrapping Up

1 Lesson

Find out about key foundational concepts in discrete math and their importance for coding.

Solving Sudoku and the 8-Queens Puzzle as Constraint Satisfaction

Project

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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