Discrete Mathematics Courses and Certifications

Sundeep Saradhi Kanthety

Hamiltonian Graphs in Discrete Mathematics - Hamiltonian Paths and Cycles

Explore Hamiltonian graphs, paths, and cycles in discrete mathematics, understanding key concepts and applications for solving graph theory problems.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

离散数学概论 Discrete Mathematics Generality

281 ratings at Coursera

离散数学是计算机科学的基础理论，离散结构的基础知识和逻辑思维的形式化是信息技术类学生的基本功，离散数学的基本概念是理科专业学生进行信息类课程学习的重要基础。 本课程介绍计算机科学和信息技术理论基础的概念和思想方法，介绍数理逻辑、集合论、图论、抽象代数和形式语言与自动机等各部分的基本概念，介绍离散数学基本概念和空间信息技术之间的联系与结合，培养学生理解和掌握离散数学基本概念，采用形式化方法分析问题，并能自觉运用逻辑分析、结构层次分析和同构类比等思想方法解决问题的能力。

• Coursera
• 27 hours
• Self-Paced
• Paid Course

Discrete Mathematics

Explore logic, probability, graph theory, relations, and combinatorics in this comprehensive mathematics course, enhancing problem-solving skills and mathematical reasoning abilities.

• YouTube
• 1 day 4 hours
• Self-Paced
• Free Video

Career Certificate

Essential Mathematics for Computer Science

9 ratings at Coursera

Master discrete mathematics, logic, algebra, calculus, and algorithmic reasoning to build the rigorous mathematical foundation essential for computing, data science, and software engineering.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Discrete Math for Computer Science - Logic & Set Theory

Master propositional and predicate logic, set theory, and formal reasoning to build mathematical foundations essential for algorithm design and program correctness.

• Coursera
• 9 hours 24 minutes
• Self-Paced
• Paid Course

Career Certificate

Discrete Mathematical Tools for Computer Science

Master discrete mathematics fundamentals for computer science: logic, counting, algorithms, recursion, and probability through rigorous problem-solving and proofs.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Discrete Math for Computer Science - Algorithms & Recursion

Master number theory, cryptography, and recursive algorithms while analyzing efficiency through mathematical induction and asymptotic notation.

• Coursera
• 13 hours 44 minutes
• Self-Paced
• Paid Course

Discrete Math for Computer Science - Counting & Probability

Master combinatorial counting and probability theory to analyze algorithms, model uncertainty, and solve complex computational problems with systematic mathematical precision.

• Coursera
• 14 hours 21 minutes
• Self-Paced
• Paid Course

University of London;  Goldsmiths University of London

Mathematical Foundations for Computing

Explore essential mathematical concepts including sets, number systems, functions, and relations to build strong foundations for computer science and algorithm design.

• Coursera
• 19 hours 53 minutes
• Self-Paced
• Paid Course

Mathematics for Computer Science

Master discrete mathematics fundamentals for computer science including logic, graph theory, algorithms, cryptography, and probability with MIT's comprehensive approach.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

5 Minutes Engineering

Discrete Mathematics

Discover fundamental concepts of sets, relations, and their properties through comprehensive examples and Venn diagrams in Hindi.

• YouTube
• 5 hours 50 minutes
• Self-Paced
• Free Video

Master Discrete Math 2020: More Than 5 Complete Courses In 1

483 ratings at Udemy

Learn Discrete Mathematics In This Course: 300+ Lectures/Quizzes And 30 Assignments With 500+ Questions & Solutions

• Udemy
• 16 hours 4 minutes
• Self-Paced
• Paid Course

CS202: Discrete Structures

1 rating

Explore fundamental concepts in discrete mathematics, including set theory, logic, probability, and graph theory, to build a strong foundation for computer science.

• Saylor Academy
• 44 hours
• Self-Paced
• Free Certificate

Learn about discrete math, the math of computer science!

• Codecademy
• 4 hours
• Self-Paced
• Free Trial Available

Discrete Math: Sets and Set Operations

33 ratings at Codecademy

Explore set theory fundamentals, operations, and applications in computer science. Gain hands-on experience using Python for set representation and manipulation.

• Codecademy
• 1 hour
• Self-Paced
• Free Trial Available