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: Free TrialUniversity of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)
Status: PreviewShanghai Jiao Tong University
Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science
Status: NewStatus: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Theoretical Computer Science, Applied Mathematics, Algorithms, Cryptography, Relational Databases, Data Management
Status: PreviewPeking University
Skills you'll gain: Graph Theory, Computational Logic, Theoretical Computer Science, Logical Reasoning, Network Analysis, Spatial Analysis, Deductive Reasoning, Computational Thinking, Mathematical Modeling, Computer Science, Algebra, Algorithms
Status: PreviewStanford University
Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning
Status: NewStatus: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Computational Logic, Engineering Calculations, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Analytical Skills, Bayesian Statistics, Differential Equations, Programming Principles, Statistical Inference, Theoretical Computer Science, Numerical Analysis, Descriptive Analytics, Applied Mathematics
What brings you to Coursera today?
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Status: Free TrialUniversity of London
Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, Computational Thinking, General Mathematics, Mathematical Theory & Analysis, Algebra, Cryptography, Systems Of Measurement
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Markov Model, Bayesian Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis
In summary, here are 10 of our most popular discrete mathematics courses
- Introduction to Discrete Mathematics for Computer Science:Â University of California San Diego
- Discrete Mathematics:Â Shanghai Jiao Tong University
- Discrete Mathematics for Computer Science and Engineering:Â Birla Institute of Technology & Science, Pilani
- 离散数å¦æ¦‚论 Discrete Mathematics Generality: Peking University
- Introduction to Mathematical Thinking:Â Stanford University
- Mathematics for Engineering:Â Birla Institute of Technology & Science, Pilani
- Mathematics for Machine Learning:Â Imperial College London
- Mathematics for Engineers:Â The Hong Kong University of Science and Technology
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Linear Algebra from Elementary to Advanced:Â Johns Hopkins University
