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: Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Python Programming
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science
Status: Free TrialJohns Hopkins University
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics
Status: Free TrialÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Programming (OOP), Functional Design, Computer Programming, Data Structures, Integrated Development Environments, Algorithms, Computational Thinking, Unit Testing
Status: PreviewNational Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms
Status: PreviewUniversity of Minnesota
Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming
Status: Free TrialImperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis
Status: FreeÉcole normale supérieure
Skills you'll gain: Algebra, Linear Algebra, Combinatorics, General Mathematics, Advanced Mathematics, Arithmetic, Mathematics and Mathematical Modeling
Status: Free TrialStanford University
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis
Status: PreviewUniversity of Pennsylvania
Skills you'll gain: Calculus, Numerical Analysis, Applied Mathematics, Engineering Calculations, Integral Calculus, Engineering Analysis, Differential Equations, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Derivatives
Searches related to discrete mathematics
In summary, here are 10 of our most popular discrete mathematics courses
- Number Theory and Cryptography: University of California San Diego
- Mathematical Foundations for Cryptography: University of Colorado System
- Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
- Functional Programming Principles in Scala: École Polytechnique Fédérale de Lausanne
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Matrix Methods: University of Minnesota
- Mathematics for Machine Learning: PCA: Imperial College London
- Essential Linear Algebra for Data Science: University of Colorado Boulder
- Introduction à la théorie de Galois: École normale supérieure
- Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
