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Center for Computational Science and Engineering
Fall 2024


left arrow | CSE.000-CSE.999 | right arrow

CSE.900 Doctoral Seminar in Computational Science and Engineering
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Graduate (Fall)
Prereq: None
Units: 1-0-2 [P/D/F]
Add to schedule TBA.
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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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Graduate (Summer) Can be repeated for credit
Prereq: None
Units arranged
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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
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Undergrad (Fall, Spring); 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
Add to schedule Begins Oct 28. Lecture: MW3-4.30 (33-419)
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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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Graduate (Fall, IAP, Spring, Summer) Can be repeated for credit
Prereq: None
Units arranged
Add to schedule TBA.
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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.S99 Special Subject in Computational Science & Engineering
(New)
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Graduate (Fall, IAP, Spring, Summer)
Not offered regularly; consult department
Prereq: None
Units arranged
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Covers subject matter not offered in the regular curriculum. Consult CCSE to learn of offerings for a particular term.
Staff

CSE.THG Graduate Thesis
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Graduate (Fall, IAP, Spring, Summer) Can be repeated for credit
Prereq: Permission of instructor
Units arranged
Add to schedule TBA.
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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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