chaseharmon/MIT_Course_Catalog · Datasets at Hugging Face

Class Number stringlengths 4 15	Name stringlengths 4 124	Description stringlengths 23 1.14k	Offered bool 2 classes	Term stringclasses 97 values	Level stringclasses 2 values	Units stringclasses 194 values	Prerequisites stringlengths 4 127 ⌀	Equivalents stringlengths 7 63 ⌀	Lab bool 2 classes	Partial Lab bool 2 classes	REST bool 2 classes	GIR stringclasses 7 values	HASS stringclasses 5 values	CI / CI-HW stringclasses 3 values
6.S188	Special Laboratory Subject in Electrical Engineering and Computer Science	Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S189	Special Laboratory Subject in Electrical Engineering and Computer Science	Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	IAP	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S190	Special Laboratory Subject in Electrical Engineering and Computer Science	Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	IAP	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S191	Special Laboratory Subject in Electrical Engineering and Computer Science	Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	IAP	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S192	Special Laboratory Subject in Electrical Engineering and Computer Science	Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	IAP	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S193	Special Laboratory Subject in Electrical Engineering and Computer Science	Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	IAP	Undergraduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S197	Special Laboratory Subject in Electrical Engineering and Computer Science	Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	IAP	Undergraduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S193-6.S198	Special Laboratory Subject in Electrical Engineering and Computer Science	Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Undergraduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S630	Special Subject in Engineering Leadership	Covers subject matter not offered in the regular curriculum. Consult the Gordon Engineering Leadership Program or Riccio Graduate Engineering Leadership Program to learn of offerings for a particular term.	true	Spring	Graduate	rranged	null	null	false	false	false	False	False	False
6.S640	Special Subject in Engineering Leadership	Covers subject matter not offered in the regular curriculum. Consult the Gordon Engineering Leadership Program or Riccio Graduate Engineering Leadership Program to learn of offerings for a particular term.	true	Spring	Graduate	rranged	null	null	false	false	false	False	False	False
6.S650	Special Subject in Engineering Leadership	Covers subject matter not offered in the regular curriculum. Consult the Gordon Engineering Leadership Program or Riccio Graduate Engineering Leadership Program to learn of offerings for a particular term.	true	Fall	Graduate	rranged	null	null	false	false	false	False	False	False
6.S660	Special Subject in Engineering Leadership	Covers subject matter not offered in the regular curriculum. Consult the Gordon Engineering Leadership Program or Riccio Graduate Engineering Leadership Program to learn of offerings for a particular term.	true	Fall, Spring	Graduate	rranged	null	null	false	false	false	False	False	False
6.S890	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S891	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	rranged	null	null	false	false	false	False	False	False
6.S892	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	rranged	null	null	false	false	false	False	False	False
6.S893	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	rranged	null	null	false	false	false	False	False	False
6.S894	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	rranged	null	null	false	false	false	False	False	False
6.S895	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	rranged	null	null	false	false	false	False	False	False
6.S896	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S897	Special Subject in Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S898	Special Subject in Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S899	Special Subject in Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall, Spring	Graduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S911	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum.	true	Spring	Undergraduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S912	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum.	true	IAP	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S913	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum.	true	Fall, IAP, Spring	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S914	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum.	true	Fall, IAP, Spring	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S915	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum.	true	IAP	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S916	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum.	true	IAP	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S917	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum.	true	IAP	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S918	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum.	true	IAP	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S919	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum.	true	Fall, IAP, Spring	Undergraduate	rranged [P/D/F]	Permission of instructor	null	false	false	false	False	False	False
6.S950	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	rranged	null	null	false	false	false	False	False	False
6.S951	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S952	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	3-0-3	null	null	false	false	false	False	False	False
6.S953	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S954	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S955	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S956	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall, Spring, Summer	Graduate	rranged [P/D/F]	null	null	false	false	false	False	False	False
6.S960	Special Studies: Electrical Engineering and Computer Science	Opportunity for study of graduate-level topics related to electrical engineering and computer science but not included elsewhere in the curriculum. Registration under this subject normally used for situations involving small study groups. Normal registration is for 12 units. Registration subject to approval of professor in charge.	true	Fall, Spring	Graduate	rranged	null	null	false	false	false	False	False	False
6.S961	Special Studies: Electrical Engineering and Computer Science	Opportunity for study of graduate-level topics related to electrical engineering and computer science but not included elsewhere in the curriculum. Registration under this subject normally used for situations involving small study groups. Normal registration is for 12 units. Registration subject to approval of professor in charge.	true	Fall, Spring	Graduate	rranged	null	null	false	false	false	False	False	False
6.S962	Special Studies: Electrical Engineering and Computer Science	Opportunity for study of graduate-level topics related to electrical engineering and computer science but not included elsewhere in the curriculum. Registration under this subject normally used for situations involving small study groups. Normal registration is for 12 units. Registration subject to approval of professor in charge.	true	Fall, Spring	Graduate	rranged	null	null	false	false	false	False	False	False
6.S963-6.S967	Special Studies: EECS	Opportunity for study of graduate-level topics related to electrical engineering and computer science but not included elsewhere in the curriculum. Registration under this subject normally used for situations involving small study groups. Normal registration is for 12 units. Registration subject to approval of professor in charge. Consult the department for details.	true	Fall	Graduate	rranged	null	null	false	false	false	False	False	False
6.S974	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	rranged	null	null	false	false	false	False	False	False
6.S975	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	IAP	Graduate	rranged [P/D/F]	null	null	false	false	false	False	False	False
6.S976	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S977	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S978	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S979	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	rranged	Permission of instructor	null	false	false	false	False	False	False
6.S980	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S981	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Fall	Graduate	3-0-9	Permission of instructor	null	false	false	false	False	False	False
6.S982	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	3-0-9	Permission of instructor	null	false	false	false	False	False	False
6.S983	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S984	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S985	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S986	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S987	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.S988	Special Subject in Electrical Engineering and Computer Science	Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.	true	Spring	Graduate	3-0-9	null	null	false	false	false	False	False	False
6.C01	Modeling with Machine Learning: from Algorithms to Applications	Focuses on modeling with machine learning methods with an eye towards applications in engineering and sciences. Introduction to modern machine learning methods, from supervised to unsupervised models, with an emphasis on newer neural approaches. Emphasis on the understanding of how and why the methods work from the point of view of modeling, and when they are applicable. Using concrete examples, covers formulation of machine learning tasks, adapting and extending methods to given problems, and how the methods can and should be evaluated. Students taking graduate version complete additional assignments. Students cannot receive credit without completion of a 6-unit disciplinary module in the same semester. Enrollment may be limited.	true	Spring	Undergraduate	2-0-4	Calculus II (GIR) and 6.100A; Coreq: 1.C01, 2.C01, 3.C01, 6.C011, 7.C01, or 22.C01	null	false	false	false	False	False	False
6.C011	Modeling with Machine Learning for Computer Science (New)	Focuses on in-depth modeling of engineering tasks as machine learning problems. Emphasizes framing, method design, and interpretation of results. In comparison to broader prerequisite 6.C01, this project-oriented subject consists of deep dives into select technical areas or engineering tasks involving both supervised and exploratory uses of machine learning. Explores technical areas such robustness, interpretability, fairness and engineering tasks such as recommender systems, performance optimization, and automated design. Students taking graduate version complete additional assignments. Students cannot receive credit without completion of the core subject 6.C01. Enrollment may be limited.	true	Spring	Undergraduate	3-0-3	6.100A, 6.C01, (6.1200 or 6.3700), and (18.06 or 18.C06)	null	false	false	false	False	False	False
6.C06[J]	Linear Algebra and Optimization	Introductory course in linear algebra and optimization, assuming no prior exposure to linear algebra and starting from the basics, including vectors, matrices, eigenvalues, singular values, and least squares. Covers the basics in optimization including convex optimization, linear/quadratic programming, gradient descent, and regularization, building on insights from linear algebra. Explores a variety of applications in science and engineering, where the tools developed give powerful ways to understand complex systems and also extract structure from data.	true	Fall	Undergraduate	5-0-7	Calculus II (GIR)	18.C06[J]	false	false	true	False	False	False
6.C25[J]	Real World Computation with Julia	Focuses on algorithms and techniques for writing and using modern technical software in a job, lab, or research group environment that may consist of interdisciplinary teams, where performance may be critical, and where the software needs to be flexible and adaptable. Topics include automatic differentiation, matrix calculus, scientific machine learning, parallel and GPU computing, and performance optimization with introductory applications to climate science, economics, agent-based modeling, and other areas. Labs and projects focus on performant, readable, composable algorithms, and software. Programming will be in Julia. Expects students to have some familiarity with Python, Matlab, or R. No Julia experience necessary.	true	Fall	Undergraduate	3-0-9	6.100A, 18.03, and 18.06	1.C25[J], 12.C25[J], 16.C25[J], 18.C25[J], 22.C25[J]	false	false	false	False	False	False
6.C27[J]	Computational Imaging: Physics and Algorithms	Explores the contemporary computational understanding of imaging: encoding information about a physical object onto a form of radiation, transferring the radiation through an imaging system, converting it to a digital signal, and computationally decoding and presenting the information to the user. Introduces a unified formulation of computational imaging systems as a three-round "learning spiral": the first two rounds describe the physical and algorithmic parts in two exemplary imaging systems. The third round involves a class project on an imaging system chosen by students. Undergraduate and graduate versions share lectures but have different recitations. Involves optional "clinics" to even out background knowledge of linear algebra, optimization, and computational imaging-related programming best practices for students of diverse disciplinary backgrounds. Students taking graduate version complete additional assignments.	true	Fall	Undergraduate	3-0-9	18.C06 and (1.00, 1.000, 2.086, 3.019, or 6.100A)	2.C27[J], 3.C27[J]	false	false	false	False	False	False
6.C35[J]	Interactive Data Visualization and Society	Covers the design, ethical, and technical skills for creating effective visualizations. Short assignments build familiarity with the data analysis and visualization design process. Weekly lab sessions present coding and technical skills. A final project provides experience working with real-world big data, provided by external partners, in order to expose and communicate insights about societal issues. Students taking graduate version complete additional assignments. Enrollment limited. Enrollment limited.	true	Spring	Undergraduate	3-4-8	null	11.C35[J], CMS.C35[J], IDS.C35[J]	false	false	false	False	False	False
6.C40[J]	Ethics of Computing (New)	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.	true	Fall	Undergraduate	3-0-9	null	24.C40[J]	false	false	false	False	Humanities	False
6.C51	Modeling with Machine Learning: from Algorithms to Applications	Focuses on modeling with machine learning methods with an eye towards applications in engineering and sciences. Introduction to modern machine learning methods, from supervised to unsupervised models, with an emphasis on newer neural approaches. Emphasis on the understanding of how and why the methods work from the point of view of modeling, and when they are applicable. Using concrete examples, covers formulation of machine learning tasks, adapting and extending methods to given problems, and how the methods can and should be evaluated. Students taking graduate version complete additional assignments. Students cannot receive credit without completion of a 6-unit disciplinary module in the same semester. Enrollment may be limited.	true	Spring	Graduate	2-0-4	Calculus II (GIR) and 6.100A; Coreq: 1.C51, 2.C51, 3.C51, 6.C511, 7.C51, 22.C51, or SCM.C51	null	false	false	false	False	False	False
6.C511	Modeling with Machine Learning for Computer Science (New)	Focuses on in-depth modeling of engineering tasks as machine learning problems. Emphasizes framing, method design, and interpretation of results. In comparison to broader co-requisite 6.C01/6.C51, this project oriented subject consists of deep dives into select technical areas or engineering tasks involving both supervised and exploratory uses of machine learning. Deep dives into technical areas such robustness, interpretability, fairness; engineering tasks such as recommender systems, performance optimization, automated design. Students taking graduate version complete additional assignments. Students cannot receive credit without completion of the core subject 6.C51. Enrollment may be limited.	true	Spring	Graduate	3-0-3	6.100A, 6.C51, (6.1200 or 6.3700), and (18.06 or 18.C06)	null	false	false	false	False	False	False
6.C57[J]	Optimization Methods (New)	Introduction to the methods and applications of optimization. Topics include linear optimization, duality, non-linear optimization, integer optimization, and optimization under uncertainty. Instruction provided in modeling techniques to address problems arising in practice, mathematical theory to understand the structure of optimization problems, computational algorithms to solve complex optimization problems, and practical applications. Covers several examples and in-depth case studies based on real-world data to showcase impactful applications of optimization across management and engineering. Computational exercises based on the Julia-based programming language JuMP. Includes a term project. Basic competency in computational programming and linear algebra recommended. Students taking graduate version complete additional assignments. This subject was previously listed as 15.093/6.7200/IDS.200.	true	Fall	Graduate	4-0-8	18.C06 or permission of instructor	15.C57[J], IDS.C57[J]	false	false	false	False	False	False
6.C571[J]	Optimization Methods (New)	Introduction to the methods and applications of optimization. Topics include linear optimization, duality, non-linear optimization, integer optimization, and optimization under uncertainty. Instruction provided in modeling techniques to address problems arising in practice, mathematical theory to understand the structure of optimization problems, computational algorithms to solve complex optimization problems, and practical applications. Covers several examples and in-depth case studies based on real-world data to showcase impactful applications of optimization across management and engineering. Computational exercises based on the Julia-based programming language JuMP. Includes a term project. Basic competency in computational programming and linear algebra recommended. Students taking graduate version complete additional assignments. This subject was previously listed as 6.7201. One section primarily reserved for Sloan students; check syllabus for details.	true	Fall	Undergraduate	4-0-8	18.C06 or permission of instructor	15.C571[J]	false	false	false	False	False	False
6.C67[J]	Computational Imaging: Physics and Algorithms	Contemporary understanding of imaging is computational: encoding onto a form of radiation the information about a physical object, transferring the radiation through the imaging system, converting it to a digital signal, and computationally decoding and presenting the information to the user. This class introduces a unified formulation of computational imaging systems as a three-round "learning spiral": the first two rounds, instructors describe the physical and algorithmic parts in two exemplary imaging systems. The third round, students conduct themselves as the class project on an imaging system of their choice. The undergraduate and graduate versions share lectures but have different recitations. Throughout the term, we also conduct optional "clinics" to even out background knowledge of linear algebra, optimization, and computational imaging-related programming best practices for students of diverse disciplinary backgrounds.	true	Fall	Graduate	3-0-9	18.C06 and (1.00, 1.000, 2.086, 3.019, or 6.100A)	2.C67[J], 3.C67[J]	false	false	false	False	False	False
6.C85[J]	Interactive Data Visualization and Society	Covers the design, ethical, and technical skills for creating effective visualizations. Short assignments build familiarity with the data analysis and visualization design process. Students participate in hour-long studio reading sessions. A final project provides experience working with real-world big data, provided by external partners, in order to expose and communicate insights about societal issues. Students taking graduate version complete additional assignments.	true	Spring	Graduate	3-1-8	null	11.C85[J], IDS.C85[J]	false	false	false	False	False	False
7.012	Introductory Biology	Exploration into biochemistry and structural biology, molecular and cell biology, genetics and immunology, and viruses and bacteria. Special topics can include cancer biology, aging, and the human microbiome project. Enrollment limited to seating capacity of classroom. Admittance may be controlled by lottery.	true	Fall	Undergraduate	5-0-7	null	null	false	false	false	Biology	False	False
7.013	Introductory Biology	Genomic approaches to human biology, including neuroscience, development, immunology, tissue repair and stem cells, tissue engineering, and infectious and inherited diseases, including cancer. Enrollment limited to seating capacity of classroom. Admittance may be controlled by lottery.	true	Spring	Undergraduate	5-0-7	null	null	false	false	false	Biology	False	False
7.014	Introductory Biology	Studies the fundamental principles of biology and their application towards understanding the Earth as a dynamic system shaped by life. Focuses on environmental life science with an emphasis on biogeochemistry, population genetics, population and community ecology, evolution, and the impact of climate change. Enrollment limited to seating capacity of classroom. Admittance may be controlled by lottery.	true	Spring	Undergraduate	5-0-7	nits: 5-0-7	null	false	false	false	Biology	False	False
7.015	Introductory Biology	Emphasizes the application of fundamental biological principles to modern, trending topics in biology. Specific modules focus on antibiotic resistance, biotechnology (e.g., genetically-modified organisms and CRISPR-based genome editing), personal genetics and genomics, viruses and vaccines, ancient DNA, and the metabolism of drugs. Includes discussion of the social and ethical issues surrounding modern biology. Limited to 60; admittance may be controlled by lottery.	true	Fall	Undergraduate	5-0-7	null	null	false	false	false	Biology	False	False
7.016	Introductory Biology	Introduction to fundamental principles of biochemistry, molecular biology and genetics for understanding the functions of living systems. Covers examples of the use of chemical biology, the use of genetics in biological discovery, principles of cellular organization and communication, immunology, cancer, and engineering biological systems. In addition, includes 21st-century molecular genetics in understanding human health and therapeutic intervention. Enrollment limited to seating capacity of classroom. Admittance may be controlled by lottery.	true	Spring	Undergraduate	5-0-7	null	null	false	false	false	Biology	False	False
7.00	COVID-19, SARS-CoV-2 and the Pandemic	Lectures by leading experts on the fundamentals of COVID-19 epidemiology, coronavirus and host cell biology, immunity, vaccine development, clinical disease and therapy. Subject can count toward the 6-unit discovery-focused credit limit for first year students.	true	Fall	Undergraduate	1-0-1 [P/D/F]	null	null	false	false	false	False	False	False
7.002	Fundamentals of Experimental Molecular Biology	Introduces the experimental concepts and methods of molecular biology. Covers basic principles of experimental design and data analysis, with an emphasis on the acquisition of practical laboratory experience. Satisfies 6 units of Institute Laboratory credit. Satisfies biology laboratory credit for pre-health professions. Enrollment limited.	true	Fall, Spring	Undergraduate	1-4-1	null	null	false	true	false	False	False	False
7.003[J]	Applied Molecular Biology Laboratory	Laboratory-based exploration of modern experimental molecular biology. Specific experimental system studied may vary from term to term, depending on instructor. Emphasizes concepts of experimental design, data analysis and communication in biology and how these concepts are applied in the biotechnology industry. Satisfies 6 units of Institute Laboratory credit. Enrollment limited; admittance may be controlled by lottery.	true	Fall, Spring	Undergraduate	2-7-3	7.002	10.7003[J]	false	true	false	False	False	False
7.03	Genetics	The principles of genetics with application to the study of biological function at the level of molecules, cells, and multicellular organisms, including humans. Structure and function of genes, chromosomes, and genomes. Biological variation resulting from recombination, mutation, and selection. Population genetics. Use of genetic methods to analyze protein function, gene regulation, and inherited disease.	true	Fall, Spring	Undergraduate	4-0-8	Biology (GIR)	null	false	false	true	False	False	False
7.05	General Biochemistry	Contributions of biochemistry toward an understanding of the structure and functioning of organisms, tissues, and cells. Chemistry and functions of constituents of cells and tissues and the chemical and physical-chemical basis for the structures of nucleic acids, proteins, and carbohydrates. Basic enzymology and biochemical reaction mechanisms involved in macromolecular synthesis and degradation, signaling, transport, and movement. General metabolism of carbohydrates, fats, and nitrogen-containing materials such as amino acids, proteins, and related compounds.	true	Spring	Undergraduate	5-0-7	(Biology (GIR) and 5.12) or permission of instructor	null	false	false	true	False	False	False
7.06	Cell Biology	Presents the biology of cells of higher organisms. Studies the structure, function, and biosynthesis of cellular membranes and organelles; cell growth and oncogenic transformation; transport, receptors, and cell signaling; the cytoskeleton, the extracellular matrix, and cell movements; cell division and cell cycle; functions of specialized cell types. Emphasizes the current molecular knowledge of cell biological processes as well as the genetic, biochemical, and other experimental approaches that resulted in these discoveries.	true	Fall, Spring	Undergraduate	4-0-8	7.03 and 7.05	null	false	false	false	False	False	False
7.08[J]	Fundamentals of Chemical Biology	Spanning the fields of biology, chemistry, and engineering, this class introduces students to the principles of chemical biology and the application of chemical and physical methods and reagents to the study and manipulation of biological systems. Topics include nucleic acid structure, recognition, and manipulation; protein folding and stability, and proteostasis; bioorthogonal reactions and activity-based protein profiling; chemical genetics and small-molecule inhibitor screening; fluorescent probes for biological analysis and imaging; and unnatural amino acid mutagenesis. The class will also discuss the logic of dynamic post-translational modification reactions with an emphasis on chemical biology approaches for studying complex processes including glycosylation, phosphorylation, and lipidation. Students taking the graduate version are expected to explore the subject in greater depth.	true	Spring	Undergraduate	4-0-8	(Biology (GIR), 5.13, and (5.07 or 7.05)) or permission of instructor	5.08[J]	false	false	false	False	False	False
7.093	Modern Biostatistics	Provides a practical introduction to probability and statistics used in modern biology. Topics covered include discrete and continuous probability distributions, statistical modeling, hypothesis testing, independence, conditional probability, multiple test corrections, nonparametric methods, clustering, correlation, linear regression, principal components analysis with applications to high-throughput DNA sequencing, and image data analysis. Homework is in the R programming language, but prior programming experience is not required. Students taking the graduate version are expected to explore the subject in greater depth.	true	Spring	Undergraduate	2-0-4	7.03 and 7.05	null	false	false	false	False	False	False
7.094	Modern Computational Biology	Introduces modern methods in computational biology, focusing on DNA/RNA/protein analysis. Topics include next-generation DNA sequencing and sequencing data analysis, RNA-seq (bulk and single-cell), and protein dynamics. Students taking the graduate version are expected to explore the subject in greater depth.	true	Spring	Undergraduate	2-0-4	7.03 and 7.05	null	false	false	false	False	False	False
7.102	Introduction to Molecular Biology Techniques	Designed primarily for first-year students with little or no lab experience. Introduces basic methods of experimental molecular biology. Specific experiments vary from year-to-year, but will focus on the identification and characterization of bacteria and bacteriophages from the wild using an array of basic methods in molecular biology and microbiology. Biology GIR or Chemistry GIR recommended. Satisfies 6 units of Institute Laboratory credit. Limited to 16; admittance may be controlled by lottery.	true	IAP	Undergraduate	0-5-1	null	null	false	true	false	False	False	False
7.105	Ethics for Biologists and Engineers (New)	Explores how to apply an ethical framework to working with living systems. Students examine case studies related to biological research and bioengineering alongside readings by foundational ethical thinkers from Aristotle to Martin Luther King, Jr. Topics for consideration include justice, rights, research integrity and bias, human clinical trials, genetic engineering in human diseases and aging, creating human-animal hybrids, and the promise and peril of AI. Discussion-based, with the aim of introducing students to new ways of thinking. Meets with 20.005, a 9-unit version of this subject, which includes a final project.	true	Spring	Undergraduate	2-0-4	null	null	false	false	false	False	False	False
7.11	Biology Teaching	For qualified undergraduate students interested in gaining some experience in teaching. Laboratory, tutorial, or classroom teaching under the supervision of a faculty member. Students selected by interview.	true	Fall, Spring	Undergraduate	rranged	null	null	false	false	false	False	False	False
7.19	Communication in Experimental Biology	Students carry out independent literature research. Journal club discussions are used to help students evaluate and write scientific papers. Instruction and practice in written and oral communication is provided.	true	Fall, Spring	Undergraduate	4-4-4	(7.06 and (5.362, 7.003, or 20.109)) or permission of instructor	null	false	false	false	False	False	False
7.20[J]	Human Physiology	Comprehensive exploration of human physiology, emphasizing the molecular basis and applied aspects of organ function and regulation in health and disease. Includes a review of cell structure and function, as well as the mechanisms by which the endocrine and nervous systems integrate cellular metabolism. Special emphasis on examining the cardiovascular, pulmonary, gastrointestinal, and renal systems, as well as liver function, drug metabolism, and pharmacogenetics.	true	Fall	Undergraduate	5-0-7	7.05	HST.540[J]	false	false	false	False	False	False
7.21	Microbial Physiology	Biochemical properties of bacteria and other microorganisms that enable them to grow under a variety of conditions. Interaction between bacteria and bacteriophages. Genetic and metabolic regulation of enzyme action and enzyme formation. Structure and function of components of the bacterial cell envelope. Protein secretion with a special emphasis on its various roles in pathogenesis. Additional topics include bioenergetics, symbiosis, quorum sensing, global responses to DNA damage, and biofilms. Students taking the graduate version are expected to explore the subject in greater depth.	true	Fall	Undergraduate	4-0-8	7.03 and 7.05	null	false	false	false	False	False	False
7.23[J]	Immunology	Comprehensive survey of molecular, genetic, and cellular aspects of the immune system. Topics include innate and adaptive immunity; cells and organs of the immune system; hematopoiesis; immunoglobulin, T cell receptor, and major histocompatibility complex (MHC) proteins and genes; development and functions of B and T lymphocytes; immune responses to infections and tumors; hypersensitivity, autoimmunity, and immunodeficiencies. Particular attention to the development and function of the immune system as a whole, as studied by modern methods and techniques. Students taking graduate version explore the subject in greater depth, including study of recent primary literature.	true	Spring	Undergraduate	5-0-7	7.06	20.230[J]	false	false	false	False	False	False
7.24	Advanced Concepts in Immunology	Provides a comprehensive and intensified understanding of the relevance of the immune system beyond immunity. Focuses on how the immune system intersects with all aspects of body homeostasis/physiology or disease and how the immune system can be manipulated therapeutically. New advances in the intersection of immunology with cancer biology, neurosciences, metabolism, aging, and maternal-fetal immunology or similar explored. Presents new modern methods and techniques applicable beyond immunology. Includes critical analysis and discussion of assigned readings. Students apply principles learned in class to generate a potential research project, presented in a written form. Students taking graduate version complete additional assignments.	true	Spring	Undergraduate	3-0-9	7.23	null	false	false	false	False	False	False
7.26	Molecular Basis of Infectious Disease	Focuses on the principles of host-pathogen interactions with an emphasis on infectious diseases of humans. Presents key concepts of pathogenesis through the study of various human pathogens. Includes critical analysis and discussion of assigned readings. Students taking the graduate version are expected to explore the subject in greater depth.	true	Spring	Undergraduate	4-0-8	7.06	null	false	false	false	False	False	False
7.27	Principles of Human Disease and Aging	Covers modern approaches to human diseases and aging, emphasizing the molecular and cellular basis of genetic diseases, infectious diseases, aging, and cancer. Topics include the genetics of simple and complex traits; karyotypic analysis and positional cloning; genetic diagnosis; evolutionary determination of aging, genetic and molecular aspects of aging, HIV/AIDs and other infectious diseases; the roles of oncogenes and tumor suppressors; the interaction between genetics and environment; animal models of human disease, cancer, and aging; and treatment strategies for diseases and aging. Includes a paper describing novel treatment options for a specific disease chosen by each student.	true	Spring	Undergraduate	4-0-8	7.06	null	false	false	false	False	False	False
7.28	Molecular Biology	Detailed analysis of the biochemical mechanisms that control the maintenance, expression, and evolution of prokaryotic and eukaryotic genomes. Topics covered in lecture and readings of relevant literature include: gene regulation, DNA replication, genetic recombination, and mRNA translation. Logic of experimental design and data analysis emphasized. Presentations include both lectures and group discussions of representative papers from the literature. Students taking the graduate version are expected to explore the subject in greater depth.	true	Spring	Undergraduate	5-0-7	7.03; Coreq: 7.05	null	false	false	false	False	False	False
7.29[J]	Cellular and Molecular Neurobiology	Introduction to the structure and function of the nervous system. Emphasizes the cellular properties of neurons and other excitable cells. Includes the structure and biophysical properties of excitable cells, synaptic transmission, neurochemistry, neurodevelopment, integration of information in simple systems, and detection and information coding during sensory transduction.	true	Spring	Undergraduate	4-0-8	7.05 or 9.01	9.09[J]	false	false	false	False	False	False
7.30[J]	Fundamentals of Ecology	Fundamentals of ecology, considering Earth as an integrated dynamic living system. Coevolution of the biosphere and geosphere, biogeochemical cycles, metabolic diversity, primary productivity, competition and the niche, trophic dynamics and food webs, population growth and limiting factors. Population modeling, global carbon cycle, climate change, geoengineering, theories of resource competition and mutualism, allometric scaling, ecological genomics, niche theory, human population growth. Applied ecology.	true	Fall	Undergraduate	4-0-8	null	1.018[J], 12.031[J]	false	false	true	False	False	False
7.31	Current Topics in Mammalian Biology: Medical Implications	Covers recent advances in mammalian cell and developmental biology with particular emphasis on approaches that utilize mouse genetics. Combines formal lectures on selected topics with readings of original papers which are discussed in class. Major emphasis on the implications of mechanisms of human genetic diseases. Topics include early mammalian development; genomic imprinting; X inactivation; embryonic stem cells; nuclear reprogramming of somatic cells; cell migration; nervous system development; and central nervous system degenerative diseases such as Alzheimer's and Huntington's disease. Limited to 20.	true	Fall	Undergraduate	4-0-8	7.06 or permission of instructor	null	false	false	false	False	False	False
7.32	Systems Biology	Introduction to cellular and population-level systems biology with an emphasis on synthetic biology, modeling of genetic networks, cell-cell interactions, and evolutionary dynamics. Cellular systems include genetic switches and oscillators, network motifs, genetic network evolution, and cellular decision-making. Population-level systems include models of pattern formation, cell-cell communications, and evolutionary systems biology. Students taking graduate version explore the subject in more depth.	true	Fall	Undergraduate	3-0-9	(18.03 and 18.05) or permission of instructor	null	false	false	false	False	False	False
7.33[J]	Evolutionary Biology: Concepts, Models and Computation	Explores and illustrates how evolution explains biology, with an emphasis on computational model building for analyzing evolutionary data. Covers key concepts of biological evolution, including adaptive evolution, neutral evolution, evolution of sex, genomic conflict, speciation, phylogeny and comparative methods, life's history, coevolution, human evolution, and evolution of disease.	true	Spring	Undergraduate	3-0-9	(6.100A and 7.03) or permission of instructor	6.4710[J]	false	false	false	False	False	False

6.S188

Special Laboratory Subject in Electrical Engineering and Computer Science

Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S189

Special Laboratory Subject in Electrical Engineering and Computer Science

Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

IAP

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S190

Special Laboratory Subject in Electrical Engineering and Computer Science

Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

IAP

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S191

Special Laboratory Subject in Electrical Engineering and Computer Science

Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

IAP

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S192

Special Laboratory Subject in Electrical Engineering and Computer Science

Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

IAP

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S193

Special Laboratory Subject in Electrical Engineering and Computer Science

Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

IAP

Undergraduate

rranged

Permission of instructor

null

false

False

6.S197

Special Laboratory Subject in Electrical Engineering and Computer Science

Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

IAP

Undergraduate

rranged

Permission of instructor

null

false

False

6.S193-6.S198

Special Laboratory Subject in Electrical Engineering and Computer Science

Laboratory subject that covers content not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Undergraduate

rranged

Permission of instructor

null

false

False

6.S630

Special Subject in Engineering Leadership

Covers subject matter not offered in the regular curriculum. Consult the Gordon Engineering Leadership Program or Riccio Graduate Engineering Leadership Program to learn of offerings for a particular term.

true

Spring

Graduate

rranged

null

false

False

6.S640

Special Subject in Engineering Leadership

Covers subject matter not offered in the regular curriculum. Consult the Gordon Engineering Leadership Program or Riccio Graduate Engineering Leadership Program to learn of offerings for a particular term.

true

Spring

Graduate

rranged

null

false

False

6.S650

Special Subject in Engineering Leadership

Covers subject matter not offered in the regular curriculum. Consult the Gordon Engineering Leadership Program or Riccio Graduate Engineering Leadership Program to learn of offerings for a particular term.

true

Fall

Graduate

rranged

null

false

False

6.S660

Special Subject in Engineering Leadership

Covers subject matter not offered in the regular curriculum. Consult the Gordon Engineering Leadership Program or Riccio Graduate Engineering Leadership Program to learn of offerings for a particular term.

true

Fall, Spring

Graduate

rranged

null

false

False

6.S890

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

3-0-9

null

false

False

6.S891

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

rranged

null

false

False

6.S892

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

rranged

null

false

False

6.S893

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

rranged

null

false

False

6.S894

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

rranged

null

false

False

6.S895

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

rranged

null

false

False

6.S896

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

3-0-9

null

false

False

6.S897

Special Subject in Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

rranged

Permission of instructor

null

false

False

6.S898

Special Subject in Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

rranged

Permission of instructor

null

false

False

6.S899

Special Subject in Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall, Spring

Graduate

rranged

Permission of instructor

null

false

False

6.S911

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum.

true

Spring

Undergraduate

rranged

Permission of instructor

null

false

False

6.S912

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum.

true

IAP

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S913

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum.

true

Fall, IAP, Spring

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S914

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum.

true

Fall, IAP, Spring

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S915

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum.

true

IAP

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S916

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum.

true

IAP

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S917

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum.

true

IAP

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S918

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum.

true

IAP

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S919

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum.

true

Fall, IAP, Spring

Undergraduate

rranged [P/D/F]

Permission of instructor

null

false

False

6.S950

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

rranged

null

false

False

6.S951

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

3-0-9

null

false

False

6.S952

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

3-0-3

null

false

False

6.S953

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

3-0-9

null

false

False

6.S954

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

3-0-9

null

false

False

6.S955

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

3-0-9

null

false

False

6.S956

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall, Spring, Summer

Graduate

rranged [P/D/F]

null

false

False

6.S960

Special Studies: Electrical Engineering and Computer Science

Opportunity for study of graduate-level topics related to electrical engineering and computer science but not included elsewhere in the curriculum. Registration under this subject normally used for situations involving small study groups. Normal registration is for 12 units. Registration subject to approval of professor in charge.

true

Fall, Spring

Graduate

rranged

null

false

False

6.S961

Special Studies: Electrical Engineering and Computer Science

Opportunity for study of graduate-level topics related to electrical engineering and computer science but not included elsewhere in the curriculum. Registration under this subject normally used for situations involving small study groups. Normal registration is for 12 units. Registration subject to approval of professor in charge.

true

Fall, Spring

Graduate

rranged

null

false

False

6.S962

Special Studies: Electrical Engineering and Computer Science

Opportunity for study of graduate-level topics related to electrical engineering and computer science but not included elsewhere in the curriculum. Registration under this subject normally used for situations involving small study groups. Normal registration is for 12 units. Registration subject to approval of professor in charge.

true

Fall, Spring

Graduate

rranged

null

false

False

6.S963-6.S967

Special Studies: EECS

Opportunity for study of graduate-level topics related to electrical engineering and computer science but not included elsewhere in the curriculum. Registration under this subject normally used for situations involving small study groups. Normal registration is for 12 units. Registration subject to approval of professor in charge. Consult the department for details.

true

Fall

Graduate

rranged

null

false

False

6.S974

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

rranged

null

false

False

6.S975

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

IAP

Graduate

rranged [P/D/F]

null

false

False

6.S976

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

rranged

Permission of instructor

null

false

False

6.S977

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

rranged

Permission of instructor

null

false

False

6.S978

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

rranged

Permission of instructor

null

false

False

6.S979

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

rranged

Permission of instructor

null

false

False

6.S980

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

3-0-9

null

false

False

6.S981

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Fall

Graduate

3-0-9

Permission of instructor

null

false

False

6.S982

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

3-0-9

Permission of instructor

null

false

False

6.S983

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

3-0-9

null

false

False

6.S984

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

3-0-9

null

false

False

6.S985

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

3-0-9

null

false

False

6.S986

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

3-0-9

null

false

False

6.S987

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

3-0-9

null

false

False

6.S988

Special Subject in Electrical Engineering and Computer Science

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term.

true

Spring

Graduate

3-0-9

null

false

False

6.C01

Modeling with Machine Learning: from Algorithms to Applications

Focuses on modeling with machine learning methods with an eye towards applications in engineering and sciences. Introduction to modern machine learning methods, from supervised to unsupervised models, with an emphasis on newer neural approaches. Emphasis on the understanding of how and why the methods work from the point of view of modeling, and when they are applicable. Using concrete examples, covers formulation of machine learning tasks, adapting and extending methods to given problems, and how the methods can and should be evaluated. Students taking graduate version complete additional assignments. Students cannot receive credit without completion of a 6-unit disciplinary module in the same semester. Enrollment may be limited.

true

Spring

Undergraduate

2-0-4

Calculus II (GIR) and 6.100A; Coreq: 1.C01, 2.C01, 3.C01, 6.C011, 7.C01, or 22.C01

null

false

False

6.C011

Modeling with Machine Learning for Computer Science (New)

Focuses on in-depth modeling of engineering tasks as machine learning problems. Emphasizes framing, method design, and interpretation of results. In comparison to broader prerequisite 6.C01, this project-oriented subject consists of deep dives into select technical areas or engineering tasks involving both supervised and exploratory uses of machine learning. Explores technical areas such robustness, interpretability, fairness and engineering tasks such as recommender systems, performance optimization, and automated design. Students taking graduate version complete additional assignments. Students cannot receive credit without completion of the core subject 6.C01. Enrollment may be limited.

true

Spring

Undergraduate

3-0-3

6.100A, 6.C01, (6.1200 or 6.3700), and (18.06 or 18.C06)

null

false

False

6.C06[J]

Linear Algebra and Optimization

Introductory course in linear algebra and optimization, assuming no prior exposure to linear algebra and starting from the basics, including vectors, matrices, eigenvalues, singular values, and least squares. Covers the basics in optimization including convex optimization, linear/quadratic programming, gradient descent, and regularization, building on insights from linear algebra. Explores a variety of applications in science and engineering, where the tools developed give powerful ways to understand complex systems and also extract structure from data.

true

Fall

Undergraduate

5-0-7

Calculus II (GIR)

18.C06[J]

false

true

False

6.C25[J]

Real World Computation with Julia

Focuses on algorithms and techniques for writing and using modern technical software in a job, lab, or research group environment that may consist of interdisciplinary teams, where performance may be critical, and where the software needs to be flexible and adaptable. Topics include automatic differentiation, matrix calculus, scientific machine learning, parallel and GPU computing, and performance optimization with introductory applications to climate science, economics, agent-based modeling, and other areas. Labs and projects focus on performant, readable, composable algorithms, and software. Programming will be in Julia. Expects students to have some familiarity with Python, Matlab, or R. No Julia experience necessary.

true

Fall

Undergraduate

3-0-9

6.100A, 18.03, and 18.06

1.C25[J], 12.C25[J], 16.C25[J], 18.C25[J], 22.C25[J]

false

False

6.C27[J]

Computational Imaging: Physics and Algorithms

Explores the contemporary computational understanding of imaging: encoding information about a physical object onto a form of radiation, transferring the radiation through an imaging system, converting it to a digital signal, and computationally decoding and presenting the information to the user. Introduces a unified formulation of computational imaging systems as a three-round "learning spiral": the first two rounds describe the physical and algorithmic parts in two exemplary imaging systems. The third round involves a class project on an imaging system chosen by students. Undergraduate and graduate versions share lectures but have different recitations. Involves optional "clinics" to even out background knowledge of linear algebra, optimization, and computational imaging-related programming best practices for students of diverse disciplinary backgrounds. Students taking graduate version complete additional assignments.

true

Fall

Undergraduate

3-0-9

18.C06 and (1.00, 1.000, 2.086, 3.019, or 6.100A)

2.C27[J], 3.C27[J]

false

False

6.C35[J]

Interactive Data Visualization and Society

Covers the design, ethical, and technical skills for creating effective visualizations. Short assignments build familiarity with the data analysis and visualization design process. Weekly lab sessions present coding and technical skills. A final project provides experience working with real-world big data, provided by external partners, in order to expose and communicate insights about societal issues. Students taking graduate version complete additional assignments. Enrollment limited. Enrollment limited.

true

Spring

Undergraduate

3-4-8

null

11.C35[J], CMS.C35[J], IDS.C35[J]

false

False

6.C40[J]

Ethics of Computing (New)

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.

true

Fall

Undergraduate

3-0-9

null

24.C40[J]

false

False

Humanities

False

6.C51

Modeling with Machine Learning: from Algorithms to Applications

Focuses on modeling with machine learning methods with an eye towards applications in engineering and sciences. Introduction to modern machine learning methods, from supervised to unsupervised models, with an emphasis on newer neural approaches. Emphasis on the understanding of how and why the methods work from the point of view of modeling, and when they are applicable. Using concrete examples, covers formulation of machine learning tasks, adapting and extending methods to given problems, and how the methods can and should be evaluated. Students taking graduate version complete additional assignments. Students cannot receive credit without completion of a 6-unit disciplinary module in the same semester. Enrollment may be limited.

true

Spring

Graduate

2-0-4

Calculus II (GIR) and 6.100A; Coreq: 1.C51, 2.C51, 3.C51, 6.C511, 7.C51, 22.C51, or SCM.C51

null

false

False

6.C511

Modeling with Machine Learning for Computer Science (New)

Focuses on in-depth modeling of engineering tasks as machine learning problems. Emphasizes framing, method design, and interpretation of results. In comparison to broader co-requisite 6.C01/6.C51, this project oriented subject consists of deep dives into select technical areas or engineering tasks involving both supervised and exploratory uses of machine learning. Deep dives into technical areas such robustness, interpretability, fairness; engineering tasks such as recommender systems, performance optimization, automated design. Students taking graduate version complete additional assignments. Students cannot receive credit without completion of the core subject 6.C51. Enrollment may be limited.

true

Spring

Graduate

3-0-3

6.100A, 6.C51, (6.1200 or 6.3700), and (18.06 or 18.C06)

null

false

False

6.C57[J]

Optimization Methods (New)

Introduction to the methods and applications of optimization. Topics include linear optimization, duality, non-linear optimization, integer optimization, and optimization under uncertainty. Instruction provided in modeling techniques to address problems arising in practice, mathematical theory to understand the structure of optimization problems, computational algorithms to solve complex optimization problems, and practical applications. Covers several examples and in-depth case studies based on real-world data to showcase impactful applications of optimization across management and engineering. Computational exercises based on the Julia-based programming language JuMP. Includes a term project. Basic competency in computational programming and linear algebra recommended. Students taking graduate version complete additional assignments. This subject was previously listed as 15.093/6.7200/IDS.200.

true

Fall

Graduate

4-0-8

18.C06 or permission of instructor

15.C57[J], IDS.C57[J]

false

False

6.C571[J]

Optimization Methods (New)

Introduction to the methods and applications of optimization. Topics include linear optimization, duality, non-linear optimization, integer optimization, and optimization under uncertainty. Instruction provided in modeling techniques to address problems arising in practice, mathematical theory to understand the structure of optimization problems, computational algorithms to solve complex optimization problems, and practical applications. Covers several examples and in-depth case studies based on real-world data to showcase impactful applications of optimization across management and engineering. Computational exercises based on the Julia-based programming language JuMP. Includes a term project. Basic competency in computational programming and linear algebra recommended. Students taking graduate version complete additional assignments. This subject was previously listed as 6.7201. One section primarily reserved for Sloan students; check syllabus for details.

true

Fall

Undergraduate

4-0-8

18.C06 or permission of instructor

15.C571[J]

false

False

6.C67[J]

Computational Imaging: Physics and Algorithms

Contemporary understanding of imaging is computational: encoding onto a form of radiation the information about a physical object, transferring the radiation through the imaging system, converting it to a digital signal, and computationally decoding and presenting the information to the user. This class introduces a unified formulation of computational imaging systems as a three-round "learning spiral": the first two rounds, instructors describe the physical and algorithmic parts in two exemplary imaging systems. The third round, students conduct themselves as the class project on an imaging system of their choice. The undergraduate and graduate versions share lectures but have different recitations. Throughout the term, we also conduct optional "clinics" to even out background knowledge of linear algebra, optimization, and computational imaging-related programming best practices for students of diverse disciplinary backgrounds.

true

Fall

Graduate

3-0-9

18.C06 and (1.00, 1.000, 2.086, 3.019, or 6.100A)

2.C67[J], 3.C67[J]

false

False

6.C85[J]

Interactive Data Visualization and Society

Covers the design, ethical, and technical skills for creating effective visualizations. Short assignments build familiarity with the data analysis and visualization design process. Students participate in hour-long studio reading sessions. A final project provides experience working with real-world big data, provided by external partners, in order to expose and communicate insights about societal issues. Students taking graduate version complete additional assignments.

true

Spring

Graduate

3-1-8

null

11.C85[J], IDS.C85[J]

false

False

7.012

Introductory Biology

Exploration into biochemistry and structural biology, molecular and cell biology, genetics and immunology, and viruses and bacteria. Special topics can include cancer biology, aging, and the human microbiome project. Enrollment limited to seating capacity of classroom. Admittance may be controlled by lottery.

true

Fall

Undergraduate

5-0-7

null

false

Biology

False

7.013

Introductory Biology

Genomic approaches to human biology, including neuroscience, development, immunology, tissue repair and stem cells, tissue engineering, and infectious and inherited diseases, including cancer. Enrollment limited to seating capacity of classroom. Admittance may be controlled by lottery.

true

Spring

Undergraduate

5-0-7

null

false

Biology

False

7.014

Introductory Biology

Studies the fundamental principles of biology and their application towards understanding the Earth as a dynamic system shaped by life. Focuses on environmental life science with an emphasis on biogeochemistry, population genetics, population and community ecology, evolution, and the impact of climate change. Enrollment limited to seating capacity of classroom. Admittance may be controlled by lottery.

true

Spring

Undergraduate

5-0-7

nits: 5-0-7

null

false

Biology

False

7.015

Introductory Biology

Emphasizes the application of fundamental biological principles to modern, trending topics in biology. Specific modules focus on antibiotic resistance, biotechnology (e.g., genetically-modified organisms and CRISPR-based genome editing), personal genetics and genomics, viruses and vaccines, ancient DNA, and the metabolism of drugs. Includes discussion of the social and ethical issues surrounding modern biology. Limited to 60; admittance may be controlled by lottery.

true

Fall

Undergraduate

5-0-7

null

false

Biology

False

7.016

Introductory Biology

Introduction to fundamental principles of biochemistry, molecular biology and genetics for understanding the functions of living systems. Covers examples of the use of chemical biology, the use of genetics in biological discovery, principles of cellular organization and communication, immunology, cancer, and engineering biological systems. In addition, includes 21st-century molecular genetics in understanding human health and therapeutic intervention. Enrollment limited to seating capacity of classroom. Admittance may be controlled by lottery.

true

Spring

Undergraduate

5-0-7

null

false

Biology

False

7.00

COVID-19, SARS-CoV-2 and the Pandemic

Lectures by leading experts on the fundamentals of COVID-19 epidemiology, coronavirus and host cell biology, immunity, vaccine development, clinical disease and therapy. Subject can count toward the 6-unit discovery-focused credit limit for first year students.

true

Fall

Undergraduate

1-0-1 [P/D/F]

null

false

False

7.002

Fundamentals of Experimental Molecular Biology

Introduces the experimental concepts and methods of molecular biology. Covers basic principles of experimental design and data analysis, with an emphasis on the acquisition of practical laboratory experience. Satisfies 6 units of Institute Laboratory credit. Satisfies biology laboratory credit for pre-health professions. Enrollment limited.

true

Fall, Spring

Undergraduate

1-4-1

null

false

true

false

False

7.003[J]

Applied Molecular Biology Laboratory

Laboratory-based exploration of modern experimental molecular biology. Specific experimental system studied may vary from term to term, depending on instructor. Emphasizes concepts of experimental design, data analysis and communication in biology and how these concepts are applied in the biotechnology industry. Satisfies 6 units of Institute Laboratory credit. Enrollment limited; admittance may be controlled by lottery.

true

Fall, Spring

Undergraduate

2-7-3

7.002

10.7003[J]

false

true

false

False

7.03

Genetics

The principles of genetics with application to the study of biological function at the level of molecules, cells, and multicellular organisms, including humans. Structure and function of genes, chromosomes, and genomes. Biological variation resulting from recombination, mutation, and selection. Population genetics. Use of genetic methods to analyze protein function, gene regulation, and inherited disease.

true

Fall, Spring

Undergraduate

4-0-8

Biology (GIR)

null

false

true

False

7.05

General Biochemistry

Contributions of biochemistry toward an understanding of the structure and functioning of organisms, tissues, and cells. Chemistry and functions of constituents of cells and tissues and the chemical and physical-chemical basis for the structures of nucleic acids, proteins, and carbohydrates. Basic enzymology and biochemical reaction mechanisms involved in macromolecular synthesis and degradation, signaling, transport, and movement. General metabolism of carbohydrates, fats, and nitrogen-containing materials such as amino acids, proteins, and related compounds.

true

Spring

Undergraduate

5-0-7

(Biology (GIR) and 5.12) or permission of instructor

null

false

true

False

7.06

Cell Biology

Presents the biology of cells of higher organisms. Studies the structure, function, and biosynthesis of cellular membranes and organelles; cell growth and oncogenic transformation; transport, receptors, and cell signaling; the cytoskeleton, the extracellular matrix, and cell movements; cell division and cell cycle; functions of specialized cell types. Emphasizes the current molecular knowledge of cell biological processes as well as the genetic, biochemical, and other experimental approaches that resulted in these discoveries.

true

Fall, Spring

Undergraduate

4-0-8

7.03 and 7.05

null

false

False

7.08[J]

Fundamentals of Chemical Biology

Spanning the fields of biology, chemistry, and engineering, this class introduces students to the principles of chemical biology and the application of chemical and physical methods and reagents to the study and manipulation of biological systems. Topics include nucleic acid structure, recognition, and manipulation; protein folding and stability, and proteostasis; bioorthogonal reactions and activity-based protein profiling; chemical genetics and small-molecule inhibitor screening; fluorescent probes for biological analysis and imaging; and unnatural amino acid mutagenesis. The class will also discuss the logic of dynamic post-translational modification reactions with an emphasis on chemical biology approaches for studying complex processes including glycosylation, phosphorylation, and lipidation. Students taking the graduate version are expected to explore the subject in greater depth.

true

Spring

Undergraduate

4-0-8

(Biology (GIR), 5.13, and (5.07 or 7.05)) or permission of instructor

5.08[J]

false

False

7.093

Modern Biostatistics

Provides a practical introduction to probability and statistics used in modern biology. Topics covered include discrete and continuous probability distributions, statistical modeling, hypothesis testing, independence, conditional probability, multiple test corrections, nonparametric methods, clustering, correlation, linear regression, principal components analysis with applications to high-throughput DNA sequencing, and image data analysis. Homework is in the R programming language, but prior programming experience is not required. Students taking the graduate version are expected to explore the subject in greater depth.

true

Spring

Undergraduate

2-0-4

7.03 and 7.05

null

false

False

7.094

Modern Computational Biology

Introduces modern methods in computational biology, focusing on DNA/RNA/protein analysis. Topics include next-generation DNA sequencing and sequencing data analysis, RNA-seq (bulk and single-cell), and protein dynamics. Students taking the graduate version are expected to explore the subject in greater depth.

true

Spring

Undergraduate

2-0-4

7.03 and 7.05

null

false

False

7.102

Introduction to Molecular Biology Techniques

Designed primarily for first-year students with little or no lab experience. Introduces basic methods of experimental molecular biology. Specific experiments vary from year-to-year, but will focus on the identification and characterization of bacteria and bacteriophages from the wild using an array of basic methods in molecular biology and microbiology. Biology GIR or Chemistry GIR recommended. Satisfies 6 units of Institute Laboratory credit. Limited to 16; admittance may be controlled by lottery.

true

IAP

Undergraduate

0-5-1

null

false

true

false

False

7.105

Ethics for Biologists and Engineers (New)

Explores how to apply an ethical framework to working with living systems. Students examine case studies related to biological research and bioengineering alongside readings by foundational ethical thinkers from Aristotle to Martin Luther King, Jr. Topics for consideration include justice, rights, research integrity and bias, human clinical trials, genetic engineering in human diseases and aging, creating human-animal hybrids, and the promise and peril of AI. Discussion-based, with the aim of introducing students to new ways of thinking. Meets with 20.005, a 9-unit version of this subject, which includes a final project.

true

Spring

Undergraduate

2-0-4

null

false

False

7.11

Biology Teaching

For qualified undergraduate students interested in gaining some experience in teaching. Laboratory, tutorial, or classroom teaching under the supervision of a faculty member. Students selected by interview.

true

Fall, Spring

Undergraduate

rranged

null

false

False

7.19

Communication in Experimental Biology

Students carry out independent literature research. Journal club discussions are used to help students evaluate and write scientific papers. Instruction and practice in written and oral communication is provided.

true

Fall, Spring

Undergraduate

4-4-4

(7.06 and (5.362, 7.003, or 20.109)) or permission of instructor

null

false

False

7.20[J]

Human Physiology

Comprehensive exploration of human physiology, emphasizing the molecular basis and applied aspects of organ function and regulation in health and disease. Includes a review of cell structure and function, as well as the mechanisms by which the endocrine and nervous systems integrate cellular metabolism. Special emphasis on examining the cardiovascular, pulmonary, gastrointestinal, and renal systems, as well as liver function, drug metabolism, and pharmacogenetics.

true

Fall

Undergraduate

5-0-7

7.05

HST.540[J]

false

False

7.21

Microbial Physiology

Biochemical properties of bacteria and other microorganisms that enable them to grow under a variety of conditions. Interaction between bacteria and bacteriophages. Genetic and metabolic regulation of enzyme action and enzyme formation. Structure and function of components of the bacterial cell envelope. Protein secretion with a special emphasis on its various roles in pathogenesis. Additional topics include bioenergetics, symbiosis, quorum sensing, global responses to DNA damage, and biofilms. Students taking the graduate version are expected to explore the subject in greater depth.

true

Fall

Undergraduate

4-0-8

7.03 and 7.05

null

false

False

7.23[J]

Immunology

Comprehensive survey of molecular, genetic, and cellular aspects of the immune system. Topics include innate and adaptive immunity; cells and organs of the immune system; hematopoiesis; immunoglobulin, T cell receptor, and major histocompatibility complex (MHC) proteins and genes; development and functions of B and T lymphocytes; immune responses to infections and tumors; hypersensitivity, autoimmunity, and immunodeficiencies. Particular attention to the development and function of the immune system as a whole, as studied by modern methods and techniques. Students taking graduate version explore the subject in greater depth, including study of recent primary literature.

true

Spring

Undergraduate

5-0-7

7.06

20.230[J]

false

False

7.24

Advanced Concepts in Immunology

Provides a comprehensive and intensified understanding of the relevance of the immune system beyond immunity. Focuses on how the immune system intersects with all aspects of body homeostasis/physiology or disease and how the immune system can be manipulated therapeutically. New advances in the intersection of immunology with cancer biology, neurosciences, metabolism, aging, and maternal-fetal immunology or similar explored. Presents new modern methods and techniques applicable beyond immunology. Includes critical analysis and discussion of assigned readings. Students apply principles learned in class to generate a potential research project, presented in a written form. Students taking graduate version complete additional assignments.

true

Spring

Undergraduate

3-0-9

7.23

null

false

False

7.26

Molecular Basis of Infectious Disease

Focuses on the principles of host-pathogen interactions with an emphasis on infectious diseases of humans. Presents key concepts of pathogenesis through the study of various human pathogens. Includes critical analysis and discussion of assigned readings. Students taking the graduate version are expected to explore the subject in greater depth.

true

Spring

Undergraduate

4-0-8

7.06

null

false

False

7.27

Principles of Human Disease and Aging

Covers modern approaches to human diseases and aging, emphasizing the molecular and cellular basis of genetic diseases, infectious diseases, aging, and cancer. Topics include the genetics of simple and complex traits; karyotypic analysis and positional cloning; genetic diagnosis; evolutionary determination of aging, genetic and molecular aspects of aging, HIV/AIDs and other infectious diseases; the roles of oncogenes and tumor suppressors; the interaction between genetics and environment; animal models of human disease, cancer, and aging; and treatment strategies for diseases and aging. Includes a paper describing novel treatment options for a specific disease chosen by each student.

true

Spring

Undergraduate

4-0-8

7.06

null

false

False

7.28

Molecular Biology

Detailed analysis of the biochemical mechanisms that control the maintenance, expression, and evolution of prokaryotic and eukaryotic genomes. Topics covered in lecture and readings of relevant literature include: gene regulation, DNA replication, genetic recombination, and mRNA translation. Logic of experimental design and data analysis emphasized. Presentations include both lectures and group discussions of representative papers from the literature. Students taking the graduate version are expected to explore the subject in greater depth.

true

Spring

Undergraduate

5-0-7

7.03; Coreq: 7.05

null

false

False

7.29[J]

Cellular and Molecular Neurobiology

Introduction to the structure and function of the nervous system. Emphasizes the cellular properties of neurons and other excitable cells. Includes the structure and biophysical properties of excitable cells, synaptic transmission, neurochemistry, neurodevelopment, integration of information in simple systems, and detection and information coding during sensory transduction.

true

Spring

Undergraduate

4-0-8

7.05 or 9.01

9.09[J]

false

False

7.30[J]

Fundamentals of Ecology

Fundamentals of ecology, considering Earth as an integrated dynamic living system. Coevolution of the biosphere and geosphere, biogeochemical cycles, metabolic diversity, primary productivity, competition and the niche, trophic dynamics and food webs, population growth and limiting factors. Population modeling, global carbon cycle, climate change, geoengineering, theories of resource competition and mutualism, allometric scaling, ecological genomics, niche theory, human population growth. Applied ecology.

true

Fall

Undergraduate

4-0-8

null

1.018[J], 12.031[J]

false

true

False

7.31

Current Topics in Mammalian Biology: Medical Implications

Covers recent advances in mammalian cell and developmental biology with particular emphasis on approaches that utilize mouse genetics. Combines formal lectures on selected topics with readings of original papers which are discussed in class. Major emphasis on the implications of mechanisms of human genetic diseases. Topics include early mammalian development; genomic imprinting; X inactivation; embryonic stem cells; nuclear reprogramming of somatic cells; cell migration; nervous system development; and central nervous system degenerative diseases such as Alzheimer's and Huntington's disease. Limited to 20.

true

Fall

Undergraduate

4-0-8

7.06 or permission of instructor

null

false

False

7.32

Systems Biology

Introduction to cellular and population-level systems biology with an emphasis on synthetic biology, modeling of genetic networks, cell-cell interactions, and evolutionary dynamics. Cellular systems include genetic switches and oscillators, network motifs, genetic network evolution, and cellular decision-making. Population-level systems include models of pattern formation, cell-cell communications, and evolutionary systems biology. Students taking graduate version explore the subject in more depth.

true

Fall

Undergraduate

3-0-9

(18.03 and 18.05) or permission of instructor

null

false

False

7.33[J]

Evolutionary Biology: Concepts, Models and Computation

Explores and illustrates how evolution explains biology, with an emphasis on computational model building for analyzing evolutionary data. Covers key concepts of biological evolution, including adaptive evolution, neutral evolution, evolution of sex, genomic conflict, speciation, phylogeny and comparative methods, life's history, coevolution, human evolution, and evolution of disease.

true

Spring

Undergraduate

3-0-9

(6.100A and 7.03) or permission of instructor

6.4710[J]

false

False