Same subject as 1.813[J], 11.466[J], 15.657[J]Prereq: Permission of instructor G (Fall)3-0-9 units. Student research in SES is characterized by the following traits: The program’s subject requirements follow. Prereq: IDS.411 or permission of instructor G (Fall, Spring)1-1-1 unitsCan be repeated for credit. Students bring their own project concept, which they will analyze during the class. Applicants should refer to the details of each program concerning specific requirements for admission. Analyzes pollution as an economic problem and the failure of markets. Exercises prepare students to apply these concepts in the framing of their thesis research. Provides an in-depth and interdisciplinary look at electric power systems, focusing on regulation as the link among engineering, economic, legal, and environmental viewpoints. Presents applied analysis of practical examples from a variety of engineering systems using spreadsheet and decision analysis software. For TPP students participating in off-campus internship experiences in technology and policy. A community of experts, at MIT and elsewhere, with demonstrated success performing impactful, multidisciplinary research in these domains. Same subject as 16.855[J]Prereq: Permission of instructor G (Spring)3-0-9 units. Applicants should refer to the details of each program concerning specific requirements for admission. Prereq: Permission of instructor G (Fall, IAP, Spring, Summer)Units arrangedCan be repeated for credit. Engineering School-Wide Elective Subject. Widespread advances in computing—from hardware to software to algorithms to artificial intelligence—have improved people’s lives in myriad ways, with numerous promising opportunities on the horizon. Opportunity for study of advanced topics in Data, Systems, and Society not otherwise included in the curriculum. Seminar environment created to develop leadership capabilities, and to take advantage of leadership opportunities. Not offered regularly; consult departmentUnits arrangedCan be repeated for credit. The Master of Science in Technology and Policy is an engineering research degree with a focus on the increasingly central role of technology in the framing, formulation, and resolution of policy problems. Offers hands-on practice in developing and interpreting international agreements through role-play simulations and observation of ongoing climate change negotiating processes. Two SERC Dean's Action Groups recently launched for the Fall 2020 semester; one focusing on active learning projects and the other focusing on computing, data, and anti-racism. REST, Same subject as 17.309[J], STS.082[J]Prereq: None U (Spring)4-0-8 units. Meets with IDS.332 first half of term. IDSS seeks to integrate these areas, fostering new collaborations, introducing new paradigms and abstractions, and utilizing the power of data to address societal challenges. IDSS provides educational programs anchored in the following intellectual pillars: statistics, information and decision sciences, and human and institutional behavior. Not offered regularly; consult department1-1-1 units. Lectures and projects focus on evaluating energy systems against climate policy goals, using performance metrics such as cost, carbon intensity, and others. Daniela Rus will serve as deputy dean of research and continue as director of CSAIL; Asu Ozdaglar will serve as deputy dean of academics and continue as head of EECS; David Kaiser and Julie Shah will serve as co-heads of social and ethical responsibilities of computing; Eileen Ng will serve as assistant dean of administration; moving from the School of Engineering; and Terri Park will serve as director of communications, moving from the Innovation Initiative. The first block is a required integrative subject in technology and policy and a subject in applied quantitative methods. Same subject as 10.547[J], 15.136[J], HST.920[J]Prereq: Permission of instructor G (Fall)3-0-6 units, Same subject as 1.231[J], 16.781[J]Prereq: None Acad Year 2020-2021: G (Fall) Subject meets with 1.801[J], 11.021[J], 17.393[J], IDS.060[J]Prereq: None G (Spring)3-0-9 units, Same subject as 1.812[J], 11.631[J] The MIT Stephen A. Schwarzman College of Computing aims to address the opportunities and challenges presented by the ubiquity of computing — across industries and academic disciplines — perhaps most notably illustrated by the rise of artificial intelligence. Dean Huttenlocher is working to advance each of these legs as we build the college, and his note below provides an update on where we stand. Not offered regularly; consult department3-0-6 units. For graduate students in TPP. Not offered regularly; consult department2-0-4 units. Same subject as 6.695[J], 15.032[J] For further information on SSRC and its programs, see the Research and Study section. EECS Plan. We expect to begin sharing the strawman more broadly in the coming months through forums to solicit feedback from the MIT community. Acad Year 2021-2022: G (Spring)3-0-9 units. Investigates sustainable development, taking a broad view to include not only a healthy economic base, but also a sound environment, stable employment, adequate purchasing power, distributional equity, national self-reliance, and maintenance of cultural integrity. Health and economic consequences of regulation, as well as its potential to spur technological change, are discussed for each regulator regime. Projects address a large-scale data analysis question. Discusses classical pollutants and toxic industrial chemicals, green-house gas emissions, community right-to-know, and environmental justice. Prereq: None G (Fall, IAP, Spring, Summer) Moreover, they are not independent but rather should inform and amplify one another. Before registering for this subject, students must have an employment offer from a company or organization, must identify a research supervisor, and must receive prior approval from the TPP Education Office. A student’s doctoral program includes coursework that prepares them for advanced, rigorous, and original research leading to a doctoral thesis. Research is expected to analyze data from the application domain of interest, and draw upon the training provided in statistics, etc., through the program’s coursework. Before registering for this subject students must have a training offer from a company or organization, must identify a research supervisor, and must receive prior approval from the IDSS Academic Office. Also provides basic instruction in analytics methods and case study analysis of organizations that successfully deployed these techniques. Limited enrollment; priority to Statistics and Data Science minors and to juniors and seniors. Permission of instructor required for freshmen and sophomores. Provides instruction on identifying, evaluating, and capturing business analytics opportunities that create value. Opportunity for individual or group study of advanced topics in Data, Systems, and Society not otherwise included in the curriculum at MIT. Covers frameworks and methods for ecosystem analysis, stakeholder analysis, architecture design and evaluation, and implementation strategies. Mission and Scope. Topics include electricity markets, incentive regulation of network utilities, retail competition, tariff design, distributed generation, rural electrification, multinational electricity markets, environmental impacts, and the future of utilities and strategic sustainability issues under both traditional and competitive regulatory frameworks. Some of the lab’s core research areas are: statistical inference and machine learning; optimization; systems theory, control, and autonomy; and networks.

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