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 TrialPeking University
Skills you'll gain: C (Programming Language), Programming Principles, Data Structures, Computer Science, Theoretical Computer Science, Computer Architecture, Computer Programming, Computational Thinking, Algorithms, Emerging Technologies
Status: Free TrialVanderbilt University
Skills you'll gain: Matlab, Computer Programming, Programming Principles, Debugging, Mathematical Software, Development Environment, Computer Science, User Interface (UI), File Management, Data Import/Export, Data Structures, Computational Logic, Engineering Calculations, Plot (Graphics), Problem Solving
Status: FreePrinceton University
Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Unit Testing, Data Structures, Java, Performance Tuning, Debugging, Programming Principles, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science
Status: Free TrialSkills you'll gain: Prompt Engineering, Software Development Life Cycle, Prompt Patterns, Large Language Modeling, Software Architecture, Computer Vision, LangChain, Responsive Web Design, Restful API, LLM Application, Generative AI, Flask (Web Framework), Responsible AI, IBM Cloud, Data Import/Export, Python Programming, Engineering Software, Workflow Management, Machine Learning, Data Science
Status: Free TrialStanford University
Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research
Status: Free TrialUniversity of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
Status: PreviewUniversity of Washington
Skills you'll gain: Ruby (Programming Language), Other Programming Languages, Object Oriented Programming (OOP), Computer Programming, Programming Principles, Functional Design, Computational Thinking, Software Design Patterns, Theoretical Computer Science, Debugging
Status: PreviewSkills you'll gain: Algorithms, Technical Communication, Pseudocode, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Mathematical Modeling, Applied Mathematics, Computer Science
Status: Free TrialStanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Social Network Analysis, Network Analysis, Theoretical Computer Science, Network Routing, Computational Logic
Status: Free TrialSkills you'll gain: C and C++, Data Import/Export, C++ (Programming Language), Object Oriented Programming (OOP), Data Validation, Object Oriented Design, Programming Principles, Computer Programming, Data Structures, File Management, Integrated Development Environments, Software Documentation, Computer Science, Data Storage
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Data Structures, Data Storage, Algorithms, Data Storage Technologies, Database Systems, Database Theory, Theoretical Computer Science
In summary, here are 10 of our most popular theoretical computer science courses
- 计算导论与C语言基础: Peking University
- Introduction to Programming with MATLAB: Vanderbilt University
- Algorithms, Part I: Princeton University
- Data Structures and Performance: University of California San Diego
- IBM AI Developer: IBM
- Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
- Programming for Everybody (Getting Started with Python): University of Michigan
- Programming Languages, Part C: University of Washington
- Algorithmic Solutions: Design, Problem Solving, Reporting: Coursera
- Graph Search, Shortest Paths, and Data Structures: Stanford University
