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  • Theoretical Computer Science

Theoretical Computer Science Courses

Theoretical computer science courses can help you learn algorithms, computational complexity, automata theory, and formal languages. You can build skills in problem-solving, mathematical reasoning, and algorithm analysis, that support tackling complex computational tasks. Many courses introduce tools like Python for algorithm implementation, LaTeX for typesetting mathematical documents, and software for simulating automata, allowing you to apply these concepts in practical scenarios.


Popular Theoretical Computer Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Number Theory and Cryptography

    Skills you'll gain: Cryptographic Protocols, Cryptography, Key Management, Encryption, Cybersecurity, Arithmetic, Algorithms, Algebra, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    609 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Algorithms & Recursion

    Skills you'll gain: Cryptography, Algorithms, Encryption, Theoretical Computer Science, Combinatorics, Arithmetic, Applied Mathematics, Logical Reasoning

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Cloud Computing for Data Science

    Skills you'll gain: Apache Hadoop, Cloud Computing, Cloud Deployment, Apache Spark, Web Services, Cloud Technologies, Cloud Services, Virtualization and Virtual Machines, Cloud Computing Architecture, PySpark, Cloud Infrastructure, Cloud Development, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture

    Build toward a degree

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamentals of Model Checking

    Skills you'll gain: Computational Logic, Systems Design, Verification And Validation, Computer Engineering, Communication Systems, Systems Analysis, Software Systems, Process Modeling, Functional Testing, Theoretical Computer Science, Computational Thinking, Functional Specification, Software Architecture, Model Optimization, Software Design, Graph Theory, Software Testing, Software Quality Assurance, Computer Architecture, Logical Reasoning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    Algorithm Design: Mastering Computational Problem Solving

    Skills you'll gain: Computer Science, Computer Programming, Solution Design, Problem Solving, Mathematical Theory & Analysis

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Computing Systems

    Skills you'll gain: Computer Architecture, Hardware Architecture, Microarchitecture, Computer Systems, Computational Logic, Hardware Design, Computer Hardware, Programming Principles, System Programming, Systems Architecture, Program Development, Data Storage, Memory Management

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Graph Theory

    Skills you'll gain: Graph Theory, Graphing, Combinatorics, Network Analysis, Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Traffic Flow Optimization, Program Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Computational Thinking with JavaScript

    Skills you'll gain: Software Development Life Cycle, Program Development, Plot (Graphics), Data Presentation, Event-Driven Programming, Web Design and Development, Web Development Tools, Data Literacy, Animation and Game Design, Software Development, Hypertext Markup Language (HTML), Applied Machine Learning, Javascript, Interactive Design, Visualization (Computer Graphics), Graphics Software, Software Design, Application Design, Computer Graphics, Code Reusability

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

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

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computing, Ethics, and Society

    Skills you'll gain: Data Ethics, Security Awareness, Healthcare Ethics, Responsible AI, Ethical Standards And Conduct, Cybersecurity, Diversity Awareness, Generative AI, Artificial Intelligence, Diversity Training, Computer Science, Diversity Programs, digital literacy, Medical Privacy, Information Privacy, Diversity Equity and Inclusion Initiatives, Social Impact, AI Personalization, Media and Communications, Clinical Research Ethics

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    56 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Model Evaluation, Model Optimization, Embeddings, Text Mining, Logistic Regression, Model Training, Statistical Modeling, Machine Learning Methods, Markov Model, Classification Algorithms, Data Preprocessing, Supervised Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Number Theory and Cryptography: University of California San Diego
  • Discrete Math for Computer Science - Algorithms & Recursion: The Hong Kong University of Science and Technology
  • Cloud Computing for Data Science: University of Pittsburgh
  • Fundamentals of Model Checking: University of Colorado Boulder
  • Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Introduction to Computing Systems: Birla Institute of Technology & Science, Pilani
  • Introduction to Graph Theory: University of California San Diego
  • Computational Thinking with JavaScript: University of Glasgow
  • Statistical Methods for Computer Science: Johns Hopkins University

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