Discrete Mathematics for Computer Science

Harry R. Lewis, PhD, Gordon McKay Professor of Computer Science, Harvard University., Harvard Extension School

This course covers widely applicable mathematical tools for computer science, including topics from logic, set theory, combinatorics, number theory, probability theory, and graph theory. It includes practice in reasoning formally and proving theorems. Students meet twice a week via web conference to solve problems collaboratively. They also watch recorded lectures from the Harvard School of Engineering and Applied Sciences course Computer Science 20. Formerly CSCI E-120.
Prerequisite: MATH E-15, or the equivalent. (4 credits)

  • 2014年1月28日
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  • 语言: 英语 Gb



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