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  • Mathematics For Computer Science

Results for "mathematics for computer science"


  • Status: Free Trial
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    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Sequences and Loops

    Skills you'll gain: Computational Thinking, Education Software and Technology, Programming Principles, Debugging, Computer Programming, Algorithms, Development Environment, Computer Science, Brainstorming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Algorithms, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    248 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 2)

    Skills you'll gain: Computational Thinking, Algorithms, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    218 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Clemson University

    Design and Analysis of Algorithms

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computational Thinking, Computer Programming, Design Strategies, Mathematical Theory & Analysis, Probability

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Simulation, Algorithm Analysis, and Pointers

    Skills you'll gain: Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Data Structures, Theoretical Computer Science, Programming Principles, File Management, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Mathematical Foundations and Quantum Mechanics Essentials

    Skills you'll gain: Probability, Linear Algebra, Probability & Statistics, Statistics, Mathematical Theory & Analysis, Computational Logic, Applied Mathematics, Advanced Mathematics, Computer Science, Algebra, Physics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    57 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    V

    Vanderbilt University

    Programming for a Networked World

    Skills you'll gain: Event-Driven Programming, Computer Programming, Distributed Computing, Computer Science, Computational Thinking, Computer Networking, Data Structures, Natural Language Processing, Algorithms, Problem Solving, Application Programming Interface (API)

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI Beginner Part 2 : Vector Calulus

    Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Structures and Algorithm Analysis

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 1)

    Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

    Skills you'll gain: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Event-Driven Programming, Program Development, Data Structures, Algorithms, Student Engagement, Graphical Tools

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Game Theory, Mathematical Modeling, Software Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to mathematics for computer science

introduction to discrete mathematics for computer science
discrete mathematics for computer science and engineering
1…8910…834

In summary, here are 10 of our most popular mathematics for computer science courses

  • Computational Thinking for K-12 Educators: Sequences and Loops: University of California San Diego
  • Matrix Methods: University of Minnesota
  • Algorithmic Thinking (Part 2): Rice University
  • Design and Analysis of Algorithms: Clemson University
  • Simulation, Algorithm Analysis, and Pointers: University of Colorado System
  • Mathematical Foundations and Quantum Mechanics Essentials: Packt
  • Programming for a Networked World : Vanderbilt University
  • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
  • Foundations of Data Structures and Algorithm Analysis: Packt
  • Principles of Computing (Part 1): Rice University

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