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CS50 (Computer Science 50) [a] is an introductory course on computer science taught at Harvard University by David J. Malan. The on-campus version of the course is Harvard's largest class with 800 students, 102 staff, and up to 2,200 participants in their regular hackathons .
edX was founded in May 2012 by the administrations of MIT and Harvard, [5] based on the MITx initiative, created by Piotr Mitros, Rafael Reif, and Anant Agarwal in 2011 at MIT. Gerry Sussman , Anant Agarwal , Chris Terman, and Piotr Mitros taught the first edX course on circuits and electronics from MIT, drawing 155,000 students from 162 countries.
CodeHS was selected as one of three education technology companies to take part in the 2013 Innovation Challenge, part of the NBC Education Nation initiative. [6] Innovation Nation challenge participants CodeHS, Teachley, and GigaBryte participated in a series of challenges in October 2013, culminating in a live pitch contest broadcast live on NBC during the Education Nation Summit.
David Jay Malan (/ m eɪ l ɛ n /) is an American computer scientist and professor. Malan is a Gordon McKay Professor of Computer Science at Harvard University, and is best known for teaching the course CS50, [2] [3] which is the largest open-learning course at Harvard University and Yale University and the largest massive open online course at EdX, with lectures being viewed by over a million ...
It teaches fundamental principles of computer programming, including recursion, abstraction, modularity, and programming language design and implementation. MIT Press published the first edition in 1984, and the second edition in 1996. It was formerly used as the textbook for MIT's introductory course in computer science.
In computer programming, a scientific programming language can refer to two degrees of the same concept. In a wide sense, a scientific programming language is a programming language that is used widely for computational science and computational mathematics. In this sense, C/C++ and Python can be considered scientific programming languages.