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MIT Subject Listing & Schedule
IAP/Spring 2026 Search Results

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4 subjects found.

11.085 Technology and Society: Computational Models for Public Decision-Making
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Undergrad (IAP)
Prereq: 6.100B, 16.C20, or permission of instructor
Units: 1-0-1 [P/D/F]
Begins Jan 26. Lecture: MWF10-12 (9-255)
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This workshop builds on urban-related computational problems (involving, for example, network routing, Monte Carlo simulation, resource allocation, and recursion) to focus on real-world contexts and decision-making cases. Explores how problem framing can impact analytic formulations, and how analyses of social policies that impact citizens unevenly can be more sensitive to context and social equity considerations. Problem settings include access and control of local roads, mandatory insurance and building codes for coastal development, and locating essential public services. Fosters innovative problem-solving abilities by designing and testing alternative problem formulations, exercising Python programming skills, and introducing urban planning practices and social policy concepts. Limited to 25.
C. Cong
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
IAP: TBA.
Spring: 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.
Fall: K. Nelson
IAP: K. Nelson
Spring: K. Nelson
Summer: K. Nelson
No textbook information available

CSE.S99 Special Subject in Computational Science & Engineering
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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
IAP: TBA.
Spring: 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.
Fall: K. Nelson
IAP: K. Nelson
Spring: K. Nelson
Summer: K. Nelson
Textbooks arranged individually