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Center for Computational Science and Engineering |
 | | | CSE.000-CSE.999 | | |  |
CSE.900 Doctoral Seminar in Computational Science and Engineering
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Prereq: None Units: 1-0-2 [P/D/F]  TBA.
Interdisciplinary seminar explores diverse topics in computational science and engineering (CSE), featuring talks from Institute faculty and external speakers. Surveys current research in CSE methodologies and applications. Discusses important open research areas, as well as the ethical context and implications of research advances in CSE. Priority to first-year CSE PhD students. Staff No textbook information available CSE.999 Experiential Learning in Computational Science and Engineering
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Prereq: None Units arranged
For graduate students in Center for Computational Science and Engineering (CCSE) programs participating in curriculum-related off-campus experiential learning opportunities in computational science and engineering and related areas. Students are responsible for arranging the experiential learning opportunity. Prior to enrolling, students must contact the CCSE Academic Administrator for procedures and restrictions and must verify their arrangements by submitting a memo or email from the sponsoring organization along with MIT advisor endorsement to the CCSE Academic Administrator. Upon completion of the training experience students are required to submit a letter from the experiential advisor describing the goals accomplished along with a substantive final report for review and grading by the MIT advisor. Staff No textbook information available CSE.C20[J] Introduction to Computational Science and Engineering
 (,  ); second half of term
(Same subject as 9.C20[J], 16.C20[J], 18.C20[J]) Prereq: 6.100A; Coreq: 8.01 and 18.01 Units: 2-0-4 Credit cannot also be received for 6.100B Begins Oct 28. Lecture: MW3-4.30 (33-419)
Provides an introduction to computational algorithms used throughout engineering and science (natural and social) to simulate time-dependent phenomena; optimize and control systems; and quantify uncertainty in problems involving randomness, including an introduction to probability and statistics. Combination of 6.100A and 16.C20J counts as REST subject. Fall: D.L. Darmofal, N. Seethapathi Spring: D.L. Darmofal, N. Seethapathi No textbook information available CSE.IND Independent Study
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Prereq: None Units arranged TBA.
Opportunity for independent study or experiential learning, under regular supervision by a faculty member. Projects require prior approval. K. Nelson No textbook information available CSE.THG Graduate Thesis
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Prereq: Permission of instructor Units arranged TBA.
Program of research and writing of thesis for Computational Science and Engineering (CSE) graduate students; to be arranged by the student in conjunction with the faculty advisor, with CCSE approval. K. Nelson Textbooks arranged individually |
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