Discrete Mathematics Courses
Discrete Mathematics courses can help you learn logic, set theory, combinatorics, and graph theory. You can build skills in problem-solving, algorithm design, and mathematical reasoning, which are valuable in computer science and cryptography. Many courses introduce tools such as MATLAB or Python for implementing algorithms and visualizing mathematical concepts, allowing you to see how these skills apply in areas like data analysis and network design.
Popular Discrete Mathematics Courses and Certifications
Status: PreviewStanford University
Skills you'll gain: Physics, European History, Verification And Validation, Scientific Methods, electromagnetics, Research, Experimentation, Mechanics, Global Positioning Systems
Status: PreviewUniversity of London
Skills you'll gain: Model Training, Applied Machine Learning, Feature Engineering, Machine Learning Software, Machine Learning, Machine Learning Methods, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, AI literacy, Test Data, Data Collection, Classification Algorithms
Status: PreviewÉcole Polytechnique
Skills you'll gain: Probability, Simulations, Probability Distribution, Statistical Methods, Probability & Statistics, Sampling (Statistics), Interactive Data Visualization, Correlation Analysis, Mathematical Theory & Analysis, Applied Mathematics, Integral Calculus
Status: Free TrialUniversity of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Statistical Methods, Descriptive Statistics, Statistical Analysis, General Mathematics, Algebra
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
Status: FreeThe Chinese University of Hong Kong
Skills you'll gain: Operations Research, Model Optimization, Computational Logic, Combinatorics, Algorithms, Applied Mathematics, Mathematical Modeling, Mathematical Software, Computational Thinking, Decision Support Systems, Data Transformation, Theoretical Computer Science, Performance Tuning, Linear Algebra
Status: Free TrialStanford University
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Data Structures, Design Strategies, Quantum computing, Python Programming, Analysis
Status: FreeThe Chinese University of Hong Kong
Skills you'll gain: Operations Research, Model Optimization, Mathematical Modeling, Combinatorics, Functional Design, Computational Thinking, Computational Logic, Algorithms
Status: Free TrialJohns Hopkins University
Skills you'll gain: Integral Calculus, Calculus, Advanced Mathematics, Applied Mathematics, Mathematical Modeling
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Data Transformation, Machine Learning
Status: PreviewUniversity of Pennsylvania
Skills you'll gain: Research, Energy and Utilities, Research Methodologies, Vocabulary, Climate Change Adaptation, Learning Strategies, Climate Change Mitigation, Literacy, English Language, Environment, Sustainable Technologies, Language Learning, Scientific Methods, Environmental Science, Grammar, Emerging Technologies
In summary, here are 10 of our most popular discrete mathematics courses
- Understanding Einstein: The Special Theory of Relativity:Â Stanford University
- Machine Learning for All:Â University of London
- Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
- Statistics for Data Science Essentials:Â University of Pennsylvania
- Linear Algebra: Linear Systems and Matrix Equations:Â Johns Hopkins University
- Solving Algorithms for Discrete Optimization:Â The Chinese University of Hong Kong
- Divide and Conquer, Sorting and Searching, and Randomized Algorithms:Â Stanford University
- Dynamic Programming, Greedy Algorithms:Â University of Colorado Boulder
- 离散优化建模基础篇 Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
- Calculus through Data & Modelling: Vector Calculus:Â Johns Hopkins University
