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Discrete Mathematics Courses Online

Master discrete mathematics for computer science and engineering. Learn about logic, set theory, combinatorics, graph theory, and algorithms.

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Explore the Discrete Mathematics Course Catalog

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Communications, Communication Systems, Electrical and Computer Engineering, Programming Principles, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Mathematical Modeling, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    631 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Vector Calculus

    Skills you'll gain: Integral Calculus, Calculus, Linear Algebra, Mathematical Theory & Analysis, Advanced Mathematics, Visualization (Computer Graphics), Applied Mathematics, Graphing, Mathematical Modeling, Spatial Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    398 reviews

    Intermediate · Course · 1 - 3 Months

  • T

    The Chinese University of Hong Kong

    Advanced Modeling for Discrete Optimization

    Skills you'll gain: Debugging, Mathematical Modeling, Operations Research, Combinatorics, Graph Theory, Algorithms, Geometry, Data Structures

    4.9
    Rating, 4.9 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    232K reviews

    Beginner · Course · 1 - 3 Months

  • T

    The Chinese University of Hong Kong

    Solving Algorithms for Discrete Optimization

    Skills you'll gain: Operations Research, Computational Logic, Advanced Mathematics, Combinatorics, Algorithms, Applied Mathematics, Graph Theory, Mathematical Modeling, Mathematical Software, Computational Thinking, Programming Principles, Theoretical Computer Science, Program Development, Performance Tuning, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Introduction to Engineering Mechanics

    Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Civil Engineering, Structural Analysis, Applied Mathematics, Trigonometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University at Buffalo

    Electric Power Systems

    Skills you'll gain: Electrical Substation, Electrical Power, Electric Power Systems, Electrical Systems, Energy and Utilities, Basic Electrical Systems, Electrical Equipment, Electrical Safety, Low Voltage, High Voltage, Sustainable Technologies, Emerging Technologies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Equations & Inequalities

    Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    616 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular discrete mathematics courses

  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
  • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
  • Introduction to Probability and Data with R: Duke University
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Advanced Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • Programming for Everybody (Getting Started with Python): University of Michigan
  • Solving Algorithms for Discrete Optimization: The Chinese University of Hong Kong
  • Introduction to Engineering Mechanics: Georgia Institute of Technology
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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