Computational Intelligence in Biomedicine and

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Language: English

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Each student is required to take 58 credits as follows: CMPS 200, Research and Teaching in Computer Science and Engineering, 3 credits; a base requirement in computer architecture must be met by taking Computer Engineering 110 or Computer Engineering 202 or equivalent elsewhere (approval required); Computer Engineering 110 can be taken to meet the architecture requirement, however, the credits will not be counted toward degree requirements; up to 10 credits of course 297, Independent Study or Research; or course 299, Thesis Research; all remaining courses must be regular, 5-credit graduate courses from: computer science, within the School of Engineering (with faculty adviser's approval); or outside the School of Engineering (with faculty adviser's and grad director's approval); courses that do not count include all courses numbered 200, 280, 296, 297, and 299; at least 33 credits must be in computer science; graduate courses (not seminars) in related disciplines outside the list of approved graduate courses may be substituted, when necessary to strengthen a student's preparation for graduate studies, with prior approval from the adviser and the graduate director.

Pages: 432

Publisher: Springer; 1st ed. 2008. Corr 2nd printing 2008 edition (April 6, 2011)

ISBN: 354070776X

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Download Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications (Studies in Computational Intelligence) pdf

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