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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.
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.
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.)
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.
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 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.
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.
Jun 13, 2024 · CS50 R is an introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains. Learn to use RStudio, a popular integrated development environment (IDE). Learn to represent real-world data with vectors, matrices, arrays, lists, and data frames.
This course picks up where CS50x leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap. Topics include database design, scalability, security, and user experience.
Apr 1, 2022 · Join Harvard Professor David J. Malan in this online course that will introduce you to programming using Python, a popular language for data science and more.
