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MIT Subject Listing & Schedule
My Course Selections

7.S931 Special Subject in Biology
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Graduate (Fall, Spring, Summer) Can be repeated for credit
Prereq: Permission of instructor
Units arranged [P/D/F]
Remove from schedule TBA.
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Covers material in various fields of biology not offered by the regular subjects of instruction.
Fall: Staff
Spring: Staff
Summer: Staff
No required or recommended textbooks

7.91 The CRISPR Revolution: Engineering the Genome for Basic Science and Clinical Medicine
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Graduate (Fall)
(Subject meets with 7.36)
Prereq: Permission of instructor
Units: 3-0-9
Remove from schedule TBA.
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Provides a conceptual and technical understanding of genome editing systems and their research and clinical applications. Focuses on fundamental CRISPR biology in bacteria, methodologies for manipulating the genome with CRISPR, and the application of genome engineering in research and medicine. Combines lectures and literature discussions with critical analysis and assigned readings, with the goal of better understanding how key discoveries were made and how these are applied in the real work. Class work includes brief writing assignments as well as a final research proposal and scientific presentation. Students taking the graduate version explore the subject in greater depth, in part through additional assignments.
F. Sánchez-Rivera, J. Weissman
No textbook information available

9.660 Computational Cognitive Science
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Graduate (Fall)
(Subject meets with 6.4120[J], 9.66[J])
Prereq: Permission of instructor
Units: 3-0-9
Remove from schedule 9.660: Lecture: TR1-2.30 (46-3002)
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Introduction to computational theories of human cognition. Focuses on principles of inductive learning and inference, and the representation of knowledge. Computational frameworks include Bayesian and hierarchical Bayesian models, probabilistic graphical models, nonparametric statistical models and the Bayesian Occam's razor, sampling algorithms for approximate learning and inference, and probabilistic models defined over structured representations such as first-order logic, grammars, or relational schemas. Applications to understanding core aspects of cognition, such as concept learning and categorization, causal reasoning, theory formation, language acquisition, and social inference. Graduate students complete a final project.
J. Tenenbaum
9.660: No textbook information available

21A.402[J] City Living: Ethnographies of Urban Worlds
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Undergrad (Fall) HASS Social Sciences
(Same subject as 21G.029[J])
(Subject meets with 21G.419)
Prereq: None
Units: 3-0-9
Remove from schedule Lecture: MW1-2.30 (1-277)
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Introduces the ways in which anthropologists have studied cities. Addressing the question of what constitutes the boundaries of life in the city, students familiarize themselves with key themes - such as the relation between city and countryside, space and place, urban economies, science, globalization, migration, nature/culture, kinship, and race, gender, class and memory - that have guided anthropological analyses of cities across the world. Via engagement with case studies and their own small fieldwork projects, students gain experience with different ethnographic strategies for documenting urban life. Taught in English. Limited to 25 across 21A.402 and 21G.419.
B. Stoetzer
No textbook information available

6.9860 Advanced 6-A Internship
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Undergrad (Fall, Spring, Summer)
Prereq: 6.9850
Units: 0-12-0 [P/D/F]
Remove from schedule TBA.
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Provides academic credit for the second assignment of 6-A undergraduate students at companies affiliated with the department's 6-A internship program. Limited to students participating in the 6-A internship program.
P. Capistrano
No textbook information available

7.540[J] Advances in Chemical Biology
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Graduate (Fall)
(Same subject as 5.54[J], 20.554[J])
Prereq: 5.07, 5.13, 7.06, and permission of instructor
Units: 3-0-9
Remove from schedule Lecture: TR9-10.30 (4-261)
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Introduction to current research at the interface of chemistry, biology, and bioengineering. Topics include imaging of biological processes, metabolic pathway engineering, protein engineering, mechanisms of DNA damage, RNA structure and function, macromolecular machines, protein misfolding and disease, metabolomics, and methods for analyzing signaling network dynamics. Lectures are interspersed with class discussions and student presentations based on current literature.
L. Kiessling, O. Johnson
No textbook information available

Total units: 60+

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A note on the schedule: Lecture options are shown, not labs or recitations.

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TIMEMon TueWed ThuFri KEY

 7.S931

 7.91

 9.660

 21A.402

 6.9860

 7.540

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