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  1. Introduction to Computer Science from Harvard, better known as CS50, is the largest course on the Harvard campus and more than 4,000,000 learners worldwide have registered for the course on edX.

  2. www.edx.org › learn › computer-scienceedX

    An introduction to the intellectual enterprises of computer science and the art of programming.

  3. This is CS50, Harvard University’s introduction to the intellectual enterprises of computer science and the art of programming, for concentrators and non-concentrators alike, with or without prior programming experience. (Two thirds of CS50 students have never taken CS before.)

  4. cs50.harvard.edu › x › 2021CS50x 2021 - edX

    This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web programming. Languages include C, Python, and SQL plus HTML, CSS, and JavaScript.

  5. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development.

  6. cs50.harvard.edu › x › 2020CS50x

    This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, and software engineering.

  7. courses.edx.org › courses › course-v1:HarvardX+CS50+XSyllabus | CS50x | edX

    See cs50.harvard.edu/x/syllabus for the course's syllabus!

  8. learning.edx.org › course › course-v1:harvardx+cs50+xCourse | edX

    Gain a comprehensive understanding of computer science and programming with HarvardX's CS50 course, covering Python, JavaScript, and SQL.

  9. learning.edx.org › course › course-v1:HarvardX+CS50+XCourse | edX

    Explore the course content of HarvardX's CS50, an introduction to computer science and programming with Python, JavaScript, and SQL.

  10. A broad and robust understanding of computer science and programming. How to think algorithmically and solve programming problems efficiently. Concepts like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development.

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