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  2. Stanford University School of Engineering - Wikipedia

    en.wikipedia.org/wiki/Stanford_University_School...

    The Stanford Department of Electrical Engineering, also known as EE; Double E, is a department at Stanford University. Established in 1894, [ 7 ] it is one of nine engineering departments that comprise the school of engineering, [ 8 ] and in 1971, had the largest graduate enrollment of any department at Stanford University. [ 9 ]

  3. John C. Mitchell - Wikipedia

    en.wikipedia.org/wiki/John_C._Mitchell

    John C. Mitchell was the Vice Provost for Teaching and Learning at Stanford University, the Mary and Gordon Crary Family Professor in Computer Science and Electrical Engineering at Stanford University, co-director of the Stanford Computer Security Lab, and Professor (by courtesy) of Education.

  4. Kunle Olukotun - Wikipedia

    en.wikipedia.org/wiki/Kunle_Olukotun

    Oyekunle Ayinde "Kunle" Olukotun is a British-born Nigerian [1] computer scientist who is the Cadence Design Systems Professor of the Stanford School of Engineering, Professor of Electrical Engineering and Computer Science at Stanford University and the director of the Stanford Pervasive Parallelism Lab. [2] Olukotun is known as the “father of the multi-core processor”, and the leader of ...

  5. Stanford Engineering Everywhere - Wikipedia

    en.wikipedia.org/wiki/Stanford_Engineering...

    Stanford Engineering Everywhere, or SEE is an initiative started by Andrew Ng at Stanford University to offer a number of Stanford courses free online. SEE's initial set of courses was funded by Sequoia Capital, and offered instructional videos, reading lists and assignments. The portal was designed to assist both the students and teachers ...

  6. Andrew Ng - Wikipedia

    en.wikipedia.org/wiki/Andrew_Ng

    Ng is a professor at Stanford University departments of Computer Science and electrical engineering. He served as the director of the Stanford Artificial Intelligence Laboratory (SAIL), where he taught students and undertook research related to data mining, big data, and machine learning. His machine learning course CS229 at Stanford is the ...

  7. Symbolic Systems Program - Wikipedia

    en.wikipedia.org/wiki/Symbolic_Systems_Program

    The Symbolic Systems Program or SymSys is a unique degree program at Stanford University for undergraduates and graduate students. It is an interdisciplinary degree encompassing the following: Computer Science; Linguistics; Mathematics; Philosophy; Psychology; Statistics; It is separate to Cognitive Science in that it is more expansive in scope ...

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