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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 .
David Jay Malan (/ m eɪ l ɛ n /) is an American computer scientist and professor. Malan is 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 ...
He became an instructor at Harvard in 1992, received successive promotions, and taught the course CS50 from 2002 to 2006. [4] In 2007, while serving as the associate dean for computer science and engineering, Smith was appointed Dean of the Faculty of Arts and Sciences , effective July 2007. [ 6 ]
Coursera free courses, khan academy, scishow, CS50 course. There is alot. Image credits: justfak446 #21. Https://asoftmurmur.com ... There are free harvard courses you can attend.
In 1996, Kernighan taught CS50 which is the Harvard University introductory course in computer science. Kernighan was an influence on David J. Malan who subsequently taught the course and scaled it up to run at multiple universities and in multiple digital formats. [21]
The Center for Research on Computation and Society (CRCS, commonly pronounced "circus") is a research center at Harvard University that focuses on interdisciplinary research combining computer science with social sciences. It is based in Harvard John A. Paulson School of Engineering and Applied Sciences. It is currently directed by Milind Tambe.
He is the William H. Gates professor of computer science at Harvard University. [2] His early research in parallel computing produced the systolic array in 1979, which has since become a core computational component of hardware accelerators for artificial intelligence, including Google's Tensor Processing Unit (TPU). [3]
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