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  • Problems In Computer Science

Results for "problems in computer science"


  • Status: New
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    U

    University of London

    Logic and Reasoning for Computing

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Theoretical Computer Science, Computer Science, Critical Thinking, Computational Thinking, Business Logic, Algorithms, Mathematical Modeling, Problem Solving, Strategic Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Computer Programming Tools, Applied Mathematics, Computer Graphics, Web Design and Development, Software Development Tools, Cybersecurity, Computational Thinking, Computer Programming, General Mathematics, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 1 - 3 Months

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    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Machine Learning Algorithms, Theoretical Computer Science, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    P

    Packt

    Advanced Algorithms and Problem-Solving Techniques

    Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Programming Principles, Computer Programming, Computer Science

    Advanced · Course · 1 - 3 Months

  • Status: New
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    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Counting & Probability

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    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

What brings you to Coursera today?

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    U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Intermediate · Specialization · 3 - 6 Months

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  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)

    4.5
    Rating, 4.5 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    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
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    749 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
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    Princeton University

    Computer Science: Programming with a Purpose

    Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Program Development, File I/O, Computational Thinking, Computer Science, Algorithms, Animations, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    U

    University of London

    Essential Mathematics for Computer Science

    Skills you'll gain: Computational Logic, Algorithms, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Statistics, General Mathematics, Analysis, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Arithmetic, Problem Solving

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

1234…834

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

  • Logic and Reasoning for Computing: University of London
  • Introduction to Computer Science and Programming: University of London
  • Fundamentals of Computing: Rice University
  • Advanced Algorithms and Problem-Solving Techniques: Packt
  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • Mathematical Foundations for Computing: University of London
  • Data Structures and Algorithms: University of California San Diego
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • Computer Science: Programming with a Purpose: Princeton University

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