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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.
This is CS50x 2024. 🎉 Curious how your 2023 work counts toward the 2024 course? See our FAQs if you started in 2023 or earlier. Interested in a verified certificate, a professional certificate, or transfer credit and accreditation ?
An introduction to the intellectual enterprises of computer science and the art of programming.
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.
An introduction to the intellectual enterprises of computer science and the art of programming.
The CS50 curriculum is an attempt by Harvard (via edX, a consortium of universities offering free courses) to expand its image. You'd expect a dozen more courses, plus math, and all sorts of other requirements to graduate.
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.
Register at cs50.edx.org. Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches you how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development.
See cs50.harvard.edu/x/syllabus for the course's syllabus! © 2024 edX LLC. All rights reserved.
This course teaches you how to solve problems, both with and without code, with an emphasis on correctness, design, and style. Topics include computational thinking, abstraction, algorithms, data structures, and computer science more generally. Problem sets inspired by the arts, humanities, social sciences, and sciences.