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Center for Computational Science and Engineering
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CSE.900 Doctoral Seminar in Computational Science and Engineering
Prereq: None Units: 1-0-2 [P/D/F]
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. L. Daniel CSE.999 Experiential Learning in Computational Science and Engineering
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 CSE.C20[J] Introduction to Computational Science and Engineering
(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 6.1000, 6.100B
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: N. Seethapathi, M.S. Fabien Spring: N. Seethapathi, Staff No textbook information available CSE.IND Independent Study
Prereq: None Units arranged IAP: Spring:
Opportunity for independent study or experiential learning, under regular supervision by a faculty member. Projects require prior approval. Fall: K. Nelson IAP: K. Nelson Spring: K. Nelson No textbook information available CSE.S99 Special Subject in Computational Science & Engineering
Not offered regularly; consult department Prereq: None Units arranged
Covers subject matter not offered in the regular curriculum. Consult CCSE to learn of offerings for a particular term. Staff CSE.THG Graduate Thesis
Prereq: Permission of instructor Units arranged IAP: Spring:
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. Fall: K. Nelson IAP: K. Nelson Spring: K. Nelson Textbooks arranged individually |
| | | CSE.000-CSE.999 | | |