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  • Computational Methods

Results for "computational methods"


  • U

    University of California, Davis

    Computational Social Science

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Data Processing, Big Data, Systems Thinking, Social Studies, Trend Analysis, Data Science, AI Enablement, Research Methodologies, Agentic systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Colorado System

    Computational Thinking with Beginning C Programming

    Skills you'll gain: Computational Thinking, File I/O, Data Collection, Simulations, Data Analysis, Microsoft Visual Studio, C (Programming Language), Statistical Analysis, Automation, Program Development, Data Structures, Programming Principles, Algorithms, Computer Programming, Theoretical Computer Science, Data Storage, Descriptive Statistics, Data Visualization Software, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    433 reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Computational Thinking & Block Programming in K-12 Education

    Skills you'll gain: Debugging, Computer Programming Tools, Algorithms, Programming Principles, Computational Thinking, Digital pedagogy, Program Development, Technical Communication, Computer Programming, Education Software and Technology, Event-Driven Programming, Code Review, Diversity Equity and Inclusion Initiatives, Computer Science, Software Documentation, Brainstorming, Data Structures, Student Engagement, Visualization (Computer Graphics), Game Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Analyze and Optimize Fusion Algorithms

    Skills you'll gain: Algorithms, Systems Analysis, Resource Utilization, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • S

    Siemens

    Applied Computational Fluid Dynamics

    Skills you'll gain: Engineering Analysis, Thermal Management, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Mathematical Modeling, Chemical Engineering, Scientific Visualization, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    179 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Program Development, Pseudocode, Problem Solving, Python Programming, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    425 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of London

    Mathematical Foundations for Computing

    Skills you'll gain: Theoretical Computer Science, Computational Logic, Programming Principles, Computer Science, Algorithms, Computational Thinking, Database Theory, Mathematical Modeling, Data Structures, General Mathematics, Applied Mathematics, Business Mathematics, Advanced Mathematics, Logical Reasoning, Problem Solving

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

  • P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    754 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    The Finite Element Method for Problems in Physics

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    564 reviews

    Intermediate · Course · 3 - 6 Months

1234…315

In summary, here are 10 of our most popular computational methods courses

  • Computational Social Science: University of California, Davis
  • Computational Thinking with Beginning C Programming: University of Colorado System
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Computational Thinking & Block Programming in K-12 Education: University of California San Diego
  • Analyze and Optimize Fusion Algorithms: Coursera
  • Applied Computational Fluid Dynamics: Siemens
  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Mathematical Foundations for Computing: University of London
  • Statistical Methods for Computer Science: Johns Hopkins University

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