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7.S931 Special Subject in Biology
(
,
,
)
Prereq: Permission of instructor
Units arranged [P/D/F]TBA.
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 textbooks7.91 The CRISPR Revolution: Engineering the Genome for Basic Science and Clinical Medicine
(Subject meets with 7.36)
Prereq: Permission of instructor
Units: 3-0-9
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 available6.S896 Special Subject in Electrical Engineering and Computer Science
Prereq: None
Units: 3-0-9
URL: https://www.eecs.mit.edu/academics/subject-updates/subject-updates-fall-2023/#6.S896
Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.
S. Hopkins
No textbook information available9.660 Computational Cognitive Science
(Subject meets with 6.4120[J], 9.66[J])
Prereq: Permission of instructor
Units: 3-0-9
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 available7.540[J] Advances in Chemical Biology
(Same subject as 5.54[J], 20.554[J])
Prereq: 5.07, 5.13, 7.06, and permission of instructor
Units: 3-0-9
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 available21A.402[J] City Living: Ethnographies of Urban Worlds
(
(Same subject as 21G.029[J])
(Subject meets with 21G.419)
Prereq: None
Units: 3-0-9
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 available6.9860 Advanced 6-A Internship
Prereq: 6.9850
Units: 0-12-0 [P/D/F]
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 availableIDS.521[J] Energy Systems for Climate Change Mitigation
(Same subject as 1.670[J], 10.621[J])
(Subject meets with 1.067[J], 10.421[J], IDS.065[J])
Prereq: Permission of instructor
Units: 3-0-9
Reviews the contributions of energy systems to global greenhouse gas emissions, and the levers for reducing those emissions. Lectures and projects focus on evaluating energy systems against climate policy goals, using performance metrics such as cost, carbon intensity, and others. Student projects explore pathways for realizing emissions reduction scenarios. Projects address the climate change mitigation potential of energy technologies (hardware and software), technological and behavioral change trajectories, and technology and policy portfolios. Background in energy systems strongly recommended. Students taking the graduate version complete additional assignments and explore the subject in greater depth.
J. Trancik
No textbook information available6.C40[J] Ethics of Computing
(New)
(Same subject as 24.C40[J])
Prereq: None
Units: 3-0-9
Explores ethical questions raised by the potentially transformative power of computing technologies. Topics include: lessons from the history of transformative technologies; the status of property and privacy rights in the digital realm; effective accelerationism, AI alignment, and existential risk; algorithmic bias and algorithmic fairness; and free speech, disinformation, and polarization on online platforms.
B. Skow, A. Solar-Lezama
No textbook information available9.THG Graduate Thesis
,
Prereq: Permission of instructor
Units arranged
Program of research leading to the writing of a Ph.D. thesis; to be arranged by the student and an appropriate MIT faculty member.
J. Ormerod
Textbooks arranged individuallyTotal units: 96+
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