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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14.471
|
Public Economics I
|
Theory and evidence on government taxation policy. Topics include tax incidence; optimal tax theory; the effect of taxation on labor supply and savings; taxation and corporate behavior; and tax expenditure policy.
| true |
Spring
|
Graduate
|
4-0-8
|
14.04
| null | false | false | false |
False
|
False
|
False
|
14.472
|
Public Economics II
|
Focuses on government expenditures and policies designed to correct market failures and/or redistribute resources. Key topics include theoretical and empirical analysis of insurance market failures, the optimal design of social insurance programs, and the design of redistributive programs.
| true |
Fall
|
Graduate
|
3-0-9
|
14.471
| null | false | false | false |
False
|
False
|
False
|
14.475
|
Environmental Economics
|
Covers the economics of the environment and climate change. Topics include the economic impacts of global warming; adaptation; the development and impacts of clean technology; resource depletion and sustainability; pollution; deforestation; biodiversity; regulation and public policy; and the role of international issues including climate agreements, geopolitics, trade, and global inequality.
| true |
Spring
|
Graduate
|
4-0-8
| null | null | false | false | false |
False
|
False
|
False
|
14.54
|
International Trade
|
Provides an introduction to theoretical and empirical topics in international trade. Offers a brief history of globalization. Introduces the theory of comparative advantage and discusses its implications for international specialization and wage inequality. Studies the determinants and consequences of trade policy, and analyzes the consequences of immigration and foreign direct investment. Students taking graduate version complete additional assignments.
| true |
Fall
|
Undergraduate
|
4-0-8
|
14.01
| null | false | false | false |
False
|
Social Sciences
|
False
|
14.540
|
International Trade
|
Provides an introduction to theoretical and empirical topics in international trade. Offers a brief history of globalization. Introduces the theory of comparative advantage and discusses its implications for international specialization and wage inequality. Studies the determinants and consequences of trade policy, and analyzes the consequences of immigration and foreign direct investment. Students taking graduate version complete additional assignments.
| true |
Fall
|
Graduate
|
4-0-8
|
14.01
| null | false | false | false |
False
|
False
|
False
|
14.581
|
International Economics I
|
Covers a variety of topics, both theoretical and empirical, in international trade, international macroeconomics, and economic geography. Focuses on general equilibrium analysis in neoclassical economies. Considers why countries and regions trade, and what goods they trade; impediments to trade, and why some countries deliberately erect policy to impede; and implications of openness for growth. Also tackles normative issues, such as whether trade openness is beneficial, whether there are winners and losers from trade and, if so, how they can possibly be identified.
| true |
Fall, Fall, IAP, Spring, Summer
|
Undergraduate
|
5-0-7
|
14.04
| null | false | false | false |
False
|
False
|
False
|
14.582
|
International Economics II
|
Building on topics covered in 14.581, revisits a number of core questions in international trade, international macroeconomics, and economic geography in the presence of increasing returns, imperfect competition, and other distortions. Stresses their connection to both macro and micro (firm-level) data for questions related to trade policy, inequality, industrial policy, growth, and the location of economic activities. Focuses on both theoretical models, empirical findings, and the challenging task of putting those two together.
| true |
Spring
|
Graduate
|
5-0-7
|
14.06
| null | false | false | false |
False
|
False
|
False
|
14.64
|
Labor Economics and Public Policy
|
Provides an introduction to the labor market, how it functions, and the important role it plays in people's lives. Topics include supply and demand, minimum wages, labor market effects of social insurance and welfare programs, the collective bargaining relationship, discrimination, human capital, and unemployment. Completion of or concurrent enrollment in 14.03 or 14.04, and 14.32 recommended. Students taking graduate version complete additional assignments.
| true |
Spring
|
Undergraduate
|
4-0-8
|
14.30 or permission of instructor
| null | false | false | false |
False
|
Social Sciences
|
False
|
14.640
|
Labor Economics and Public Policy
|
Provides an introduction to the labor market, how it functions, and the important role it plays in people's lives. Topics include supply and demand, minimum wages, labor market effects of social insurance and welfare programs, the collective bargaining relationship, discrimination, human capital, and unemployment. Completion of or concurrent enrollment in 14.03 or 14.04, and 14.32 recommended. Students taking graduate version complete additional assignments.
| true |
Spring
|
Graduate
|
4-0-8
|
14.300 or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
14.661
|
Labor Economics I
|
A systematic development of the theory of labor supply, labor demand, and human capital. Topics include wage and employment determination, turnover, search, immigration, unemployment, equalizing differences, and institutions in the labor market. Particular emphasis on the interaction between theoretical and empirical modeling. No listeners.
| true |
Fall, Fall
|
Graduate
|
5-0-7
|
14.32 and (14.03 or 14.04)
| null | false | false | false |
False
|
False
|
False
|
14.661A
|
Labor Economics I
|
Covers the same material as 14.661 but in greater depth. Additional assignments required. Limited to economics PhD students who wish to declare a major field in labor economics.
| true |
Fall
|
Graduate
|
5-0-7
|
14.32 and (14.03 or 14.04)
| null | false | false | false |
False
|
False
|
False
|
14.662
|
Labor Economics II
|
Theory and evidence on the determinants of earnings levels and inequality, intergenerational mobility, skill demands, imperfect competition, and employment structure. Particular focus on the determinants of worker and firm-level productivity; and the roles played by supply, demand, discrimination, institutions, information, technology, and trade in the evolving distribution of income.
| true |
Spring
|
Graduate
|
5-0-7
|
14.32 and (14.03 or 14.04)
| null | false | false | false |
False
|
False
|
False
|
14.662A
|
Labor Economics II
|
Covers the same material as 14.662 but in greater depth. Additional assignments required. Limited to economics PhD students who wish to declare a major field in labor economics.
| true |
Spring
|
Graduate
|
5-0-7
|
14.32 and (14.03 or 14.04)
| null | false | false | false |
False
|
False
|
False
|
14.70[J]
|
Medieval Economic History in Comparative Perspective
|
Surveys the foundations of material life and changing social and economic conditions in medieval Europe in their broader Eurasian context. Covers the gradual disintegration of the Roman imperial order, the emergence and decline of feudal institutions, the transformation of peasant agriculture, living standards and the impact of climate and disease environments, and the ebb and flow of long-distance trade across the Eurasian system. Particular emphasis on the study of those factors, both institutional and technological, which contributed to the emergence of capitalist organization and economic growth in western Europe in comparison to the trajectories followed by the other major medieval economies.
| true |
Spring
|
Undergraduate
|
3-0-9
| null |
21H.134[J]
| false | false | false |
False
|
Social Sciences
|
CI-H
|
14.73
|
The Challenge of World Poverty
|
Designed for students who are interested in the challenge posed by massive and persistent world poverty. Examines extreme poverty over time to see if it is no longer a threat, why some countries grow fast and others fall further behind, if growth or foreign aid help the poor, what we can do about corruption, if markets or NGOs should be left to deal with poverty, where to intervene, and how to deal with the disease burden and improve schools.
| true |
Fall
|
Undergraduate
|
4-0-8
| null | null | false | false | false |
False
|
Social Sciences
|
CI-H
|
14.74
|
Foundations of Development Policy
|
Explores the foundations of policy making in developing countries, with the goal of spelling out various policy options and quantifying the trade-offs between them. Topics include education, health, fertility, adoption of technological innovations, financial markets (credit, savings, and insurance), markets for land and labor, political factors, and international considerations (aid, trade, and multinational firms). Some basic familiarity with probability and/or statistics is useful for this class. Students taking graduate version complete additional assignments.
| true |
Fall
|
Undergraduate
|
4-0-8
|
14.01
| null | false | false | false |
False
|
Social Sciences
|
False
|
14.740
|
Foundations of Development Policy
|
Explores the foundations of policy making in developing countries, with the goal of spelling out various policy options and quantifying the trade-offs between them. Topics include education, health, fertility, adoption of technological innovations, financial markets (credit, savings, and insurance), markets for land and labor, political factors, and international considerations (aid, trade, and multinational firms). Some basic familiarity with probability and/or statistics is useful for this class. Students taking graduate version complete additional assignments.
| true |
Fall
|
Graduate
|
4-0-8
|
14.01
| null | false | false | false |
False
|
False
|
False
|
14.75
|
Political Economy and Economic Development
|
Explores the relationship between political institutions and economic development, covering key theoretical issues as well as recent empirical evidence. Topics include colonialism and its legacy, voting, vote buying, media, social media, corruption, and war. Discusses not just what we know on these topics, but how we know it, covering how to craft a good empirical study or field experiment and how to discriminate between reliable and unreliable statistical evidence. Some basic familiarity with probability and/or statistics is useful for this class. Students taking graduate version complete additional assignments.
| true |
Spring
|
Undergraduate
|
4-0-8
|
14.01
| null | false | false | false |
False
|
Social Sciences
|
False
|
14.750
|
Political Economy and Economic Development
|
Explores the relationship between political institutions and economic development, covering key theoretical issues as well as recent empirical evidence. Topics include colonialism and its legacy, voting, vote buying, media, social media, corruption, and war. Discusses not just what we know on these topics, but how we know it, covering how to craft a good empirical study or field experiment and how to discriminate between reliable and unreliable statistical evidence. Some basic familiarity with probability and/or statistics is useful for this class. Students taking graduate version complete additional assignments.
| true |
Spring
|
Graduate
|
4-0-8
|
14.01
| null | false | false | false |
False
|
False
|
False
|
14.76
|
Firms, Markets, Trade and Growth
|
Examines how industrial development and international trade have brought about rapid growth and large-scale reductions in poverty for some developing countries, while globalization has simply increased inequality and brought little growth for others. Also considers why, in yet other developing countries, firms remain small-scale and have not integrated with global supply chains. Draws on both theoretical models and empirical evidence to better understand the reasons for these very different experiences and implications for policy. Students taking graduate version complete additional assignments.
| true |
Spring
|
Undergraduate
|
4-0-8
|
14.01 and (14.30 or permission of instructor)
| null | false | false | false |
False
|
Social Sciences
|
False
|
14.760
|
Firms, Markets, Trade and Growth
|
Examines how industrial development and international trade have brought about rapid growth and large-scale reductions in poverty for some developing countries, while globalization has simply increased inequality and brought little growth for others. Also considers why, in yet other developing countries, firms remain small-scale and have not integrated with global supply chains. Draws on both theoretical models and empirical evidence to better understand the reasons for these very different experiences and implications for policy. Students taking graduate version complete additional assignments.
| true |
Spring
|
Graduate
|
4-0-8
|
14.01 and (14.30 or permission of instructor)
| null | false | false | false |
False
|
False
|
False
|
14.770
|
Introduction to Collective Choice and Political Economy
|
Broad introduction to political economy. Covers topics from social choice theory to political agency models, including theories of voter turnout and comparison of political institutions.
| true |
Fall
|
Graduate
|
4-0-8
| null | null | false | false | false |
False
|
False
|
False
|
14.771
|
Development Economics: Microeconomic Issues
|
A rigorous introduction to core micro-economic issues in economic development, focusing on both key theoretical contributions and empirical applications to understand both why some countries are poor and on how markets function differently in poor economies. Topics include human capital (education and health); labor markets; credit markets; land markets; firms; and the role of the public sector.
| true |
Fall
|
Graduate
|
5-0-7
|
14.121 and 14.122
| null | false | false | false |
False
|
False
|
False
|
14.772
|
Development Economics: Macroeconomics
|
Emphasizes dynamic models of growth and development. Topics include migration, modernization, and technological change; static and dynamic models of political economy; the dynamics of income distribution and institutional change; firm structure in developing countries; development, transparency, and functioning of financial markets; privatization; and banks and credit market institutions in emerging markets. Examines innovative yet disruptive digital technologies, including blockchain, digital assets, crypto currency, distributed ledgers, and smart contracts.
| true |
Spring
|
Graduate
|
5-0-7
|
14.121 and 14.451
| null | false | false | false |
False
|
False
|
False
|
14.773
|
Political Economy: Institutions and Development
|
Economists and policymakers increasingly realize the importance of political institutions in shaping economic performance, especially in the context of understanding economic development. Work on the determinants of economic policies and institutions is in its infancy, but is growing rapidly. Subject provides an introduction to this area. Topics covered: the economic role of institutions; the effects of social conflict and class conflict on economic development; political economic determinants of macro policies; political development; theories of income distribution and distributional conflict; the efficiency effects of distributional conflict; the causes and consequences of corruption; the role of colonial history; and others. Both theoretical and empirical approaches discussed. Subject can be taken either as part of the Development Economics or the Positive Political Economy fields.
| true |
Spring
|
Graduate
|
5-0-7
|
14.121 and 14.451
| null | false | false | false |
False
|
False
|
False
|
14.775
|
Comparing Societies (New)
|
Studies the cultural, social, and institutional foundations of societies around the world, emphasizing fundamentals and mechanisms that are outside the scope of traditional models in economics. Topics include social organization, perceptions of reality (e.g., the spiritual and meta-human world), drivers of innovation and technology diffusion, conflict, determinants of fertility and population growth, moral frameworks (e.g., views about right/wrong, fairness, equality, and community membership), religion, objectives and definitions of success, and societal equilibria. Emphasizes how research ranging from economic theory to development and policy design can benefit from an understanding of these vast differences that exist around the world. Also considers how these differences affect and are affected by culture, formal institutions, and development. Open to PhD students.
| true |
Fall
|
Graduate
|
4-0-8
| null | null | false | false | false |
False
|
False
|
False
|
14.78[J]
|
Shaping the Future of Technology: From Early Agriculture to Artificial Intelligence
|
Provides a framework for thinking about major technological transitions over the past 12,000 years as a means to explore paths to a better future. Discusses who gains or loses from innovation and who can shape the future of artificial intelligence, biotech, and other breakthroughs. Introduces major questions tackled by researchers and relevant to economic policy through faculty lectures, interactive events with prominent guests, and group work. Instruction and practice in oral and written communication provided.
| true |
Spring
|
Undergraduate
|
4-0-8
| null |
15.238[J]
| false | false | false |
False
|
Social Sciences
|
CI-H
|
14.THG
|
Graduate Thesis
|
Program of research and writing of thesis; to be arranged by the student with advising committee.
| true |
Fall, IAP, Spring, Summer
|
Graduate
|
rranged
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
14.THU
|
Thesis
|
Program of research and writing of thesis.
| true |
Fall, IAP, Spring, Summer
|
Undergraduate
|
rranged
|
14.33
| null | false | false | false |
False
|
False
|
False
|
14.UR
|
Undergraduate Research
|
Participation in research with an individual faculty member or research group, independent research or study under the guidance of a faculty member. Admission by arrangement with individual faculty member.
| true |
Fall, IAP, Spring, Summer
|
Undergraduate
|
rranged [P/D/F]
|
14.02
| null | false | false | false |
False
|
False
|
False
|
14.URG
|
Undergraduate Research
|
Participation in research with an individual faculty member or research group, independent research or study under the guidance of a faculty member. Admission by arrangement with individual faculty member.
| true |
Fall, IAP, Spring, Summer
|
Undergraduate
|
rranged
|
14.02
| null | false | false | false |
False
|
False
|
False
|
15.000
|
Explorations in Management
|
Broad introduction to the various aspects of management including analytics, accounting and finance, operations, marketing, entrepreneurship and leadership, organizations, economics, systems dynamics, and negotiation and communication. Introduces the field of management through a variety of experiences as well as discussions led by faculty or industry experts. Also reviews the three undergraduate majors offered by Sloan as well as careers in management. Subject can count toward the 6-unit discovery-focused credit limit for first year students. Limited to undergraduates; preference to first years.
| true |
Fall
|
Undergraduate
|
2-0-1 [P/D/F]
| null | null | false | false | false |
False
|
False
|
False
|
15.002
|
Leadership Challenges for an Inclusive World
|
Units assigned to MBA students upon completion. Restricted to Sloan MBA students.
| true |
Fall, Spring
|
Graduate
|
rranged [P/D/F]
| null | null | false | false | false |
False
|
False
|
False
|
15.003
|
Analytics Tools
|
Units assigned to Master of Business Analytics students upon completion of the Analytics Tools requirement. Restricted to Master of Business Analytics students.
| true |
Fall, IAP, Summer
|
Graduate
|
2-0-1 [P/D/F]
| null | null | false | false | false |
False
|
False
|
False
|
15.004
|
Programming for Finance Professionals
|
Two-day accelerated course with supplemental recitations designed to develop skills in applying basic methods from the programming language Python (with additional references from R) to financial problems. Topics include programming basics in Python, data manipulation, visualization and reporting and an overview of programming ethics. MFin students will apply and build upon these skills in 15.433 Financial Markets and 15.450/15.457 Analytics and Advanced Analytics of Finance. Students must pass one of two exams offered during the summer term to demonstrate their ability to solve financial problems using R and Python. Restricted to Sloan Master of Finance Program students.
| true |
Summer
|
Graduate
|
1-0-0 [P/D/F]
| null | null | false | false | false |
False
|
False
|
False
|
15.005
|
Sloan Intensive Period Elective Requirement
|
Units assigned to MBA students upon completion of the Sloan Intensive Period (SIP) elective requirement. Restricted to Sloan MBA students.
| true |
Spring
|
Graduate
|
rranged [P/D/F]
|
15.002
| null | false | false | false |
False
|
False
|
False
|
15.010
|
Economic Analysis for Business Decisions
|
Introduces principles of microeconomics as a framework for making more informed managerial decisions. Discusses the supply and demand paradigm with applications to digital marketplaces, innovation, sources of market power, and strategic pricing. Provides an introduction to game theory to study competition and cooperation both within and between firms. Restricted to first-year Sloan MBA students.
| true |
Fall
|
Graduate
|
4-0-5
| null | null | false | false | false |
False
|
False
|
False
|
15.011
|
Economic Analysis for Business Decisions
|
Introduces principles of microeconomics as a framework for making more informed managerial decisions. Discusses the supply and demand paradigm with applications to digital marketplaces, innovation, sources of market power, and strategic pricing. Provides an introduction to game theory to study competition and cooperation both within and between firms. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Intended for non-Sloan graduate students; not open to Sloan MBA students.
| true |
Fall, Spring
|
Graduate
|
4-0-5
| null | null | false | false | false |
False
|
False
|
False
|
15.0111
|
Economic Analysis for Business Decisions
|
Introduces principles of microeconomics as a framework for making more informed managerial decisions. Discusses the supply and demand paradigm with applications to digital marketplaces, innovation, sources of market power, and strategic pricing. Provides an introduction to game theory to study competition and cooperation both within and between firms. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Intended for undergraduate students; not open to Sloan MBA students.
| true |
Fall
|
Undergraduate
|
4-0-5
| null | null | false | false | false |
False
|
False
|
False
|
15.012
|
Applied Macro- and International Economics
|
Explores the macroeconomic environment in which firms operate. Aims to provide a strong foundation in macroeconomic concepts and apply them to understand specific country experiences. Introduces the basic tools of short-run macroeconomic management, primarily monetary and fiscal policy, utilizing historical case studies and modern policy discussions as context. Explores drivers of long-term growth, examining the cases of economic miracles and productivity slowdowns in developed economies, and then delves into the fundamental theory of trade, applying it to the discussions of global trade wars and trade agreements.
| true |
Fall
|
Graduate
|
3-0-6
| null | null | false | false | false |
False
|
False
|
False
|
15.013
|
Economics for Strategic Decisions
|
Applies principles of economics most relevant for corporate strategy to analysis of particular industries. Topics include market structure and its determinants; rational strategic behavior in small numbers situations; strategies for price and nonprice competition; dynamic pricing, output, and advertising decisions; entry and entry deterrence; competition with network externalities; investments under uncertainty; competition among platforms; R&D and patent licensing; and the growth and evolution of industries.
| true |
Fall
|
Graduate
|
3-0-6
|
15.010 or 15.011
| null | false | false | false |
False
|
False
|
False
|
15.014
|
Applied Macro- and International Economics II
|
Establishes understanding of the development processes of societies and economies. Studies several dimensions of sustainability (environmental, social, political, institutional, economy, organizational, relational, and personal) and the balance among them. Explores the basics of governmental intervention, focusing on areas such as the judicial system, environment, social security, and health. Builds skills to determine what type of policy is most appropriate. Considers implications of new technologies on the financial sector: internationalization of currencies, mobile payment systems, and cryptocurrencies. Discusses the institutional framework to ensure choices are sustainable across all dimensions and applications.
| true |
Spring
|
Graduate
|
4-0-2
| null | null | false | false | false |
False
|
False
|
False
|
15.015
|
Macroeconomic Policy Reforms
|
Focuses on the current policy and economic issues in the US economy. Students propose economic and policy reforms around issues such as labor markets, inflation and central banking, financial regulation, education, health, housing, transportation, social security, democracy, immigration, diversity, and environmental policy. Topics change year to year. In each class, proposals are presented and voted upon by the group.
| true |
Spring
|
Graduate
|
2-0-4
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.016[J]
|
Climate and Energy in the Global Economy
|
Provides students with a comprehensive understanding of the challenges, opportunities, and policy responses to the global climate and energy crises. Discusses the role of energy in world economies, paying particular attention to low- and middle-income countries, as well as the impacts of climate change on those economies. Considers how access, cost, reliability, and environmental harm drive or hinder economic growth, the political influences on the energy sector, the impacts of climate change on low- and middle-income countries, and the role of energy in mitigating future impacts of climate change. Also discusses global climate solutions, including the role of the United Nations Framework Convention on Climate Change process, trade policy, climate finance, business strategies to reduce emissions, and business strategies to help people adapt to a changing climate. Students taking graduate students complete additional assignments.
| true |
Spring
|
Graduate
|
3-0-9
|
14.01, 15.010, 15.011, or 15.024
|
14.450[J]
| false | false | false |
False
|
False
|
False
|
15.0161[J]
|
Climate and Energy in the Global Economy (New)
|
Provides students with a comprehensive understanding of the challenges, opportunities, and policy responses to the global climate and energy crises. Discusses the role of energy in world economies, paying particular attention to low- and middle-income countries, as well as the impacts of climate change on those economies. Considers how access, cost, reliability, and environmental harm drive or hinder economic growth, the political influences on the energy sector, the impacts of climate change on low- and middle-income countries, and the role of energy in mitigating future impacts of climate change. Also discusses global climate solutions, including the role of the United Nations Framework Convention on Climate Change process, trade policy, climate finance, business strategies to reduce emissions, and business strategies to help people adapt to a changing climate. Students taking graduate students complete additional assignments.
| true |
Spring
|
Undergraduate
|
3-0-9
|
14.01 or 15.0111
|
14.45[J]
| false | false | false |
False
|
False
|
False
|
15.018
|
Current Debates of Macroeconomics and Public Policy
|
Concentrates on debates about current policy challenges. Students debate and vote on policy actions on current issues in developed and developing nations. Subjects include industrial policy, macroeconomics, poverty, social safety net, labor practices, immigration and labor markets, international economics, human rights, civil rights, democracy, environmental policy, regulation, and crypto assets. Topics change from year to year.
| true |
Spring
|
Graduate
|
2-0-4
| null | null | false | false | false |
False
|
False
|
False
|
15.020
|
Economics of Energy, Innovation, and Sustainability
|
Covers energy and environmental market organization and regulation. Explores economic challenges and solutions to transforming energy markets to be more efficient, accessible, affordable, and sustainable. Applies core economic concepts - consumer choice, firm profit maximization, and strategic behavior - to understand when energy and environmental markets work well and when they fail. They also conduct data-driven economic analysis on the trade-offs of real and proposed policy interventions. Topics include renewable generation sources for electricity, energy access in emerging markets, efficiency programs and fuel efficiency standards, transitioning transportation to alternative fuels, measuring damages and adaptation to climate change, and the effect of energy and environmental policy on innovation. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
| true |
Fall
|
Graduate
|
3-0-9
|
14.01 or 15.011
| null | false | false | false |
False
|
False
|
False
|
15.0201[J]
|
Economics of Energy, Innovation, and Sustainability
|
Covers energy and environmental market organization and regulation. Explores economic challenges and solutions to transforming energy markets to be more efficient, accessible, affordable, and sustainable. Applies core economic concepts - consumer choice, firm profit maximization, and strategic behavior - to understand when energy and environmental markets work well and when they fail. They also conduct data-driven economic analysis on the trade-offs of real and proposed policy interventions. Topics include renewable generation sources for electricity, energy access in emerging markets, efficiency programs and fuel efficiency standards, transitioning transportation to alternative fuels, measuring damages and adaptation to climate change, and the effect of energy and environmental policy on innovation. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
| true |
Fall
|
Undergraduate
|
3-0-9
|
14.01 or 15.0111
|
14.43[J]
| false | false | false |
False
|
Social Sciences
|
False
|
15.021[J]
|
Real Estate Economics
|
Develops an understanding of the fundamental economic factors that shape the market for real property, as well as the influence of capital markets in asset pricing. Analyzes of housing as well as commercial real estate. Covers demographic analysis, regional growth, construction cycles, urban land markets, and location theory as well as recent technology impacts. Exercises and modeling techniques for measuring and predicting property demand, supply, vacancy, rents, and prices.
| true |
Fall
|
Graduate
|
4-0-8
|
14.01, 15.010, or 15.011
|
11.433[J]
| false | false | false |
False
|
False
|
False
|
15.022[J]
|
Real Estate Markets: Macroeconomics
|
Applies the latest economic thinking and research to the task of analyzing aggregate real estate market time series, assessing risk, and developing forecasts. Presents the premise that because of capital durability and construction lags, real estate markets exhibit some degree of mean reversion and as such are at least partially predictable. Examines the extent and causes of market volatility across different markets and types of property. Long-term aggregate trends impacting the real estate sector, from demographics to technology, discussed. Limited to 30.
| true |
Spring
|
Graduate
|
3-0-3
|
11.431 or permission of instructor
|
11.429[J]
| false | false | false |
False
|
False
|
False
|
15.024
|
Applied Economics for Managers
|
Develops facility with concepts, language and tools of micro economics. Primary focus on the analysis of markets, strategic interactions among firms and game theory as applied to firms. Emphasizes integration of theory, data, and judgment in the analysis of a wide range of corporate decisions, both between and within firms. Restricted to Sloan Fellow MBAs.
| true |
Summer
|
Graduate
|
3-0-6
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.025
|
Game Theory for Strategic Advantage
|
Develops and applies principles of game theory relevant to managers' strategic decisions. Topics include how to reason about strategies and opponents; strategic commitment and negotiations; reputation and seemingly irrational actions; bidding in auctions; and the design of auctions, contests and markets. Applications to a variety of business decisions that arise in different industries, both within and outside the firm. Meets with 15.0251 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
| true |
Spring
|
Graduate
|
3-0-6
|
14.01, 15.010, 15.011, 15.024, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.0251
|
Game Theory for Strategic Advantage
|
Develops and applies principles of game theory relevant to managers' strategic decisions. Topics include how to reason about strategies and opponents; strategic commitment and negotiations; reputation and seemingly irrational actions; bidding in auctions; and the design of auctions, contests and markets. Applications to a variety of business decisions that arise in different industries, both within and outside the firm. Meets with 15.025 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
| true |
Spring
|
Undergraduate
|
3-0-6
|
14.01, 15.0111, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.026[J]
|
Global Climate Change: Economics, Science, and Policy
|
Introduces scientific, economic, and ecological issues underlying the threat of global climate change, and the institutions engaged in negotiating an international response. Develops an integrated approach to analysis of climate change processes, and assessment of proposed policy measures, drawing on research and model development within the MIT Joint Program on the Science and Policy of Global Change. Graduate students are expected to explore the topic in greater depth through reading and individual research..
| true |
Spring
|
Undergraduate
|
3-0-6
|
(Calculus II (GIR), 5.60, and 14.01) or permission of instructor
|
12.348[J]
| false | false | false |
False
|
False
|
False
|
15.027
|
Opportunities in Developing Economies
|
Investigates the role of the private sector in developing economies, highlighting how solving market failures can improve overall welfare. Covers constraints faced by firms in developing economies: contract enforcement, corruption, political risk, human rights, IP and infrastructure. Uses case studies to discuss successful firms and innovative solutions to these constraints, including public-private partnerships, the role of technology, the role of finance and impact investing.
| true |
Spring
|
Graduate
|
3-0-3
| null | null | false | false | false |
False
|
False
|
False
|
15.029[J]
|
United States Energy Policy: Lessons Learned for the Future
|
Compares the US policy responses, from the Nixon administration to the current administration, on issues ranging from oil import dependence to nuclear nonproliferation. Examines what lessons were learned from these issues and how they have shaped the country's current climate change policy. Prepares students to be informed and effective participants in policy deliberations that require difficult decisions and trade-offs. Addresses both domestic and international policy aspects. Students taking graduate version complete additional assignments.
| true |
Fall
|
Graduate
|
2-0-4
| null |
5.81[J]
| false | false | false |
False
|
False
|
False
|
15.0291[J]
|
United States Energy Policy: Lessons Learned for the Future
|
Compares the US policy responses, from the Nixon administration to the current administration, on issues ranging from oil import dependence to nuclear nonproliferation. Examines what lessons were learned from these issues and how they have shaped the country's current climate change policy. Prepares students to be informed and effective participants in policy deliberations that require difficult decisions and trade-offs. Addresses both domestic and international policy aspects. Students taking graduate version complete additional assignments.
| true |
Fall
|
Undergraduate
|
2-0-4
| null |
5.811[J]
| false | false | false |
False
|
False
|
False
|
15.032[J]
|
Engineering, Economics and Regulation of the Electric Power Sector
|
Presents an in-depth interdisciplinary look at the electric power sector, with regulation providing the link among engineering, economic, legal and environmental viewpoints. Topics include electricity markets, incentive regulation of networks, service reliability, renewable energy sources, network issues, retail competition, tariff design, distributed generation, rural electrification, multinational electricity markets, environmental impacts, and the future of utilities and strategic sustainability issues under traditional and competitive regulatory frameworks. Covers engineering, economic and legal basis to evaluate worldwide regulatory instruments. Regulatory approaches apply in other industrial sectors such as fuel gases, telecoms, transportation, water supply. Provides the basis for research or professional activities in energy sectors in industry, government, and consulting. Permission of instructor required for undergraduates wishing to take the class.
| true |
Spring
|
Graduate
|
3-0-9
| null |
IDS.505[J]
| false | false | false |
False
|
False
|
False
|
15.034
|
Econometrics for Managers: Correlation & Causality in a Big Data World
|
Introduces econometrics as a framework to go beyond correlations and get to causality, which is crucial for investment decisions in finance, marketing, human resources, public policy, and general business strategy. Through labs and projects, students get experience in many relevant applications. Students gain a deeper understanding of modeling using multivariate regression, instrumental-variable regression, and machine learning tools including regression trees, random forest, LASSO, and neural networks. No prior knowledge is necessary. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
| true |
Spring
|
Graduate
|
4-0-5
| null | null | false | false | false |
False
|
False
|
False
|
15.0341
|
Econometrics for Managers: Correlation and Causality in a Big Data World
|
Introduces econometrics as a framework to go beyond correlations and get to causality, which is crucial for investment decisions in finance, marketing, human resources, public policy, and general business strategy. Through labs and projects, students get experience in many relevant applications. Students gain a deeper understanding of modeling using multivariate regression, instrumental-variable regression, and machine learning tools including regression trees, random forest, LASSO, and neural networks. No prior knowledge is necessary. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
| true |
Spring
|
Undergraduate
|
4-0-5
| null | null | false | false | false |
False
|
False
|
False
|
15.035
|
Energy Market Dynamics in a Decarbonizing Economy (New)
|
Explores how energy markets function, what changes as the world decarbonizes, and the role of new technologies in this change. Examines how market outcomes are influenced by policies, with a focus on environmental policies. Uses economic tools to analyze efficiency and public policy challenges in interconnected energy and environmental markets. Topics include how electricity markets are shaped by large-scale renewable penetration, how decarbonization policies affect different regions and socio-economic groups, measuring the social costs of climate change, and the role of critical minerals in a decarbonizing world. Students gain experience in linking theory to real-world policy problems, particularly through a team-based electricity market simulation that mirrors decision-making by market participants. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Limited to 65.
| true |
Spring
|
Graduate
|
2-0-4
|
14.01 or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.0351
|
Energy Market Dynamics in a Decarbonizing Economy (New)
|
Explores how energy markets function, what changes as the world decarbonizes, and the role of new technologies in this change. Examines how market outcomes are influenced by policies, with a focus on environmental policies. Uses economic tools to analyze efficiency and public policy challenges in interconnected energy and environmental markets. Topics include how electricity markets are shaped by large-scale renewable penetration, how decarbonization policies affect different regions and socio-economic groups, measuring the social costs of climate change, and the role of critical minerals in a decarbonizing world. Students gain experience in linking theory to real-world policy problems, particularly through a team-based electricity market simulation that mirrors decision-making by market participants. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Limited to 65.
| true |
Spring
|
Undergraduate
|
2-0-4
|
14.01 or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.036[J]
|
Dimensions of Geoengineering
|
Familiarizes students with the potential contributions and risks of using geoengineering technologies to control climate damage from global warming caused by greenhouse gas emissions. Discusses geoengineering in relation to other climate change responses: reducing emissions, removing CO2 from the atmosphere, and adapting to the impacts of climate change. Limited to 100.
| true |
Fall
|
Graduate
|
2-0-4
| null |
1.850[J], 5.000[J], 10.600[J], 11.388[J], 12.884[J], 16.645[J]
| false | false | false |
False
|
False
|
False
|
15.037[J]
|
Energy Economics and Policy
|
Analyzes business and public policy issues in energy markets and in the environmental markets to which they are closely tied. Examines the economic determinants of industry structure and evolution of competition among firms in these industries. Investigates successful and unsuccessful strategies for entering new markets and competing in existing markets. Industries studied include oil, natural gas, coal, electricity, and transportation. Topics include climate change and environmental policy, the role of speculation in energy markets, the political economy of energy policies, and market power and antitrust. Two team-based simulation games, representing the world oil market and a deregulated electricity market, act to cement the concepts covered in lecture. Students taking graduate version complete additional assignments. Limited to 60.
| true |
Spring
|
Undergraduate
|
4-0-8
|
14.01 or 15.0111
|
14.44[J]
| false | false | false |
False
|
Social Sciences
|
False
|
15.038[J]
|
Energy Economics and Policy
|
Analyzes business and public policy issues in energy markets and in the environmental markets to which they are closely tied. Examines the economic determinants of industry structure and evolution of competition among firms in these industries. Investigates successful and unsuccessful strategies for entering new markets and competing in existing markets. Industries studied include oil, natural gas, coal, electricity, and transportation. Topics include climate change and environmental policy, the role of speculation in energy markets, the political economy of energy policies, and market power and antitrust. Two team-based simulation games, representing the world oil market and a deregulated electricity market, act to cement the concepts covered in lecture. Students taking graduate version complete additional assignments. Limited to 60.
| true |
Spring
|
Graduate
|
4-0-8
|
14.01 or 15.0111
|
14.444[J]
| false | false | false |
False
|
False
|
False
|
15.039[J]
|
Organizational Economics
|
Provides a rigorous, but not overly technical introduction to the economic theory of organization together with a varying set of applications. Addresses incentives, control, relationships, decision processes, and organizational culture and performance. Introduces selected fundamentals of game theory. Students taking graduate version complete additional assignments.
| true |
Spring
|
Undergraduate
|
4-0-8
|
14.01
|
14.26[J]
| false | false | false |
False
|
Social Sciences
|
False
|
15.053
|
Optimization Methods in Business Analytics
|
Introduces optimization methods with a focus on modeling, solution techniques, and analysis. Covers linear programming, network optimization, integer programming, nonlinear programming, and heuristics. Applications to logistics, manufacturing, statistics, machine learning, transportation, game theory, marketing, project management, and finance. Includes projects in which student teams solve optimization problems of practical interest.
| true |
Spring
|
Undergraduate
|
4-0-8
|
1.00, 1.000, 6.100A, or permission of instructor
| null | false | false | true |
False
|
False
|
False
|
15.054[J]
|
The Airline Industry
|
Overview of the global airline industry, focusing on recent industry performance, current issues and challenges for the future. Fundamentals of airline industry structure, airline economics, operations planning, safety, labor relations, airports and air traffic control, marketing, and competitive strategies, with an emphasis on the interrelationships among major industry stakeholders. Recent research findings of the MIT Global Airline Industry Program are showcased, including the impacts of congestion and delays, evolution of information technologies, changing human resource management practices, and competitive effects of new entrant airlines. Taught by faculty participants of the Global Airline Industry Program.
| true |
Fall
|
Graduate
|
3-0-9
| null |
1.232[J], 16.71[J]
| false | false | false |
False
|
False
|
False
|
15.060
|
Data, Models, and Decisions
|
Introduces students to the basic tools in using data to make informed management decisions. Covers basic topics in data analytics, including introductory probability, decision analysis, basic statistics, regression, simulation, linear and discrete optimization, and introductory machine learning. Spreadsheet exercises, cases, and examples drawn from marketing, finance, operations management, and other management functions. Restricted to first-year Sloan master's students.
| true |
Fall, Summer
|
Graduate
|
3-0-6
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.062[J]
|
Data Mining: Finding the Models and Predictions that Create Value
|
Introduction to data mining, data science, and machine learning for recognizing patterns, developing models and predictive analytics, and making intelligent use of massive amounts of data collected via the internet, e-commerce, electronic banking, medical databases, etc. Topics include logistic regression, association rules, tree-structured classification and regression, cluster analysis, discriminant analysis, and neural network methods. Presents examples of successful applications in credit ratings, fraud detection, marketing, customer relationship management, investments, and synthetic clinical trials. Introduces data-mining software (R and Python). Grading based on homework, cases, and a term project. Expectations and evaluation criteria differ for students taking the undergraduate version; consult syllabus or instructor for specific details.
| true |
Spring
|
Graduate
|
2-0-4
|
15.060, 15.075, or permission of instructor
|
IDS.145[J]
| false | false | false |
False
|
False
|
False
|
15.0621
|
Data Mining: Finding the Models and Predictions that Create Value
|
Introduction to data mining, data science, and machine learning for recognizing patterns, developing models and predictive analytics, and making intelligent use of massive amounts of data collected via the internet, e-commerce, electronic banking, medical databases, etc. Topics include logistic regression, association rules, tree-structured classification and regression, cluster analysis, discriminant analysis, and neural network methods. Presents examples of successful applications in credit ratings, fraud detection, marketing, customer relationship management, investments, and synthetic clinical trials. Introduces data-mining software (R and Python). Grading based on homework, cases, and a term project. Expectations and evaluation criteria differ for students taking the graduate version; consult syllabus or instructor for specific details.
| true |
Spring
|
Undergraduate
|
2-0-4
|
15.075 or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.066[J]
|
System Optimization and Analysis for Operations
|
Introduction to mathematical modeling, optimization, and simulation, as applied to manufacturing and operations. Specific methods include linear programming, network flow problems, integer and nonlinear programming, discrete-event simulation, heuristics and computer applications for manufacturing processes, operations and systems. Restricted to Leaders for Global Operations students.
| true |
Summer
|
Graduate
|
4-0-8
|
Calculus II (GIR)
|
2.851[J]
| false | false | false |
False
|
False
|
False
|
15.068
|
Statistical Consulting
|
Addresses statistical issues as a consultant would face them: deciphering the client's question; finding appropriate data; performing a viable analysis; and presenting the results in compelling ways. Real-life cases and examples.
| true |
Spring
|
Graduate
|
3-0-6
|
15.060
| null | false | false | false |
False
|
False
|
False
|
15.069
|
Applied Probability and Statistics
|
Presents probability from the perspective of applied mathematics, with strong emphasis on an intuitive overview of key theorems and continuing demonstrations of their usefulness. Covers the laws of probability and numerous important discrete and continuous random variables, both individually and in combination. Introduces simulation. Offers an introduction to statistics that emphasizes its probabilistic foundations and the fact that statistical reasoning is applied common sense. Covers hypothesis testing, statistical sampling, and various forms of regression analysis. Draws applications from economics, finance, engineering, marketing, public policy, operations management, and operations research.
| true |
Fall
|
Undergraduate
|
4-0-8
|
Calculus I (GIR)
| null | false | false | true |
False
|
False
|
False
|
15.070[J]
|
Discrete Probability and Stochastic Processes
|
Provides an introduction to tools used for probabilistic reasoning in the context of discrete systems and processes. Tools such as the probabilistic method, first and second moment method, martingales, concentration and correlation inequalities, theory of random graphs, weak convergence, random walks and Brownian motion, branching processes, Markov chains, Markov random fields, correlation decay method, isoperimetry, coupling, influences and other basic tools of modern research in probability will be presented. Algorithmic aspects and connections to statistics and machine learning will be emphasized.
| true |
Spring
|
Graduate
|
3-0-9
|
6.3702, 6.7700, 18.100A, 18.100B, or 18.100Q
|
6.7720[J], 18.619[J]
| false | false | false |
False
|
False
|
False
|
15.071
|
The Analytics Edge
|
Develops models and tools of data analytics that are used to transform businesses and industries, using examples and case studies in e-commerce, healthcare, social media, high technology, criminal justice, the internet, and beyond. Covers analytics methods such as linear regression, logistic regression, classification trees, random forests, neural networks, text analytics, social network analysis, time series modeling, clustering, and optimization. Uses mostly R programming language and some work in Jupyter notebooks. Includes team project. Meets with 15.0711 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
| true |
Fall, Spring
|
Graduate
|
4-0-8
|
15.060
| null | false | false | false |
False
|
False
|
False
|
15.0711
|
The Analytics Edge
|
Develops models and tools of data analytics that are used to transform businesses and industries, using examples and case studies in e-commerce, healthcare, social media, high technology, criminal justice, the internet, and beyond. Covers analytics methods such as linear regression, logistic regression, classification trees, random forests, neural networks, text analytics, social network analysis, time series modeling, clustering, and optimization. Uses mostly R programming language and some work in Jupyter notebooks. Includes team project. Meets with 15.071 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
| true |
Spring
|
Undergraduate
|
4-0-8
|
15.053 and 15.069
| null | false | false | false |
False
|
False
|
False
|
15.072
|
Advanced Analytics Edge
|
More advanced version of 15.071 introduces core methods of business analytics, their algorithmic implementations and their applications to various domains of management and public policy. Spans descriptive analytics (e.g., clustering, dimensionality reduction), predictive analytics (e.g., linear/logistic regression, classification and regression trees, random forests, boosting deep learning) and prescriptive analytics (e.g., optimization). Presents analytics algorithms, and their implementations in data science. Includes case studies in e-commerce, transportation, energy, healthcare, social media, sports, the internet, and beyond. Uses the R and Julia programming languages. Includes team projects. Preference to Sloan Master of Business Analytics students.
| true |
Fall
|
Graduate
|
4-0-8
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.073[J]
|
Applied Probability and Stochastic Models
|
A vigorous use of probabilistic models to approximate real-life situations in Finance, Operations Management, Economics, and Operations Research. Emphasis on how to develop a suitable probabilistic model in a given setting and, merging probability with statistics, and on how to validate a proposed model against empirical evidence. Extensive treatment of Monte Carlo simulation for modeling random processes when analytic solutions are unattainable.
| true |
Fall
|
Graduate
|
3-0-9
|
6.3700 or 18.600
|
1.203[J], IDS.700[J]
| false | false | false |
False
|
False
|
False
|
15.075[J]
|
Statistical Thinking and Data Analysis
|
Introduces a rigorous treatment of statistical data analysis while helping students develop a strong intuition for the strengths and limitations of various methods. Topics include statistical sampling and uncertainty, estimation, hypothesis testing, linear regression, classification, analysis of variation, and elements of data mining. Involves empirical use of hypothesis testing and other statistical methodologies in several domains, including the assessment of A-B experiments on the web and the identification of genes correlated with diseases.
| true |
Spring
|
Undergraduate
|
3-1-8
|
6.3700 or 15.069
|
IDS.013[J]
| true | false | false |
False
|
False
|
False
|
15.076
|
Analytics for a Better World
|
Introduces predictive and prescriptive analytics methods to solve problems that contribute to the welfare of society. Emphasis on using machine learning and optimization methods in innovative ways using real world data. Methods used include: linear and discrete optimization, linear and logistic regression, optimal classification and regression trees, deep learning, random forests, and boosted trees. Projects utilize Julia, Jump, and Tensor Flow. Assessment based on projects, including a capstone project. Restricted to undergraduates.
| true |
Spring
|
Undergraduate
|
4-0-8
|
Calculus I (GIR)
| null | true | false | false |
False
|
False
|
False
|
15.077[J]
|
Statistical Machine Learning and Data Science
|
Advanced introduction to theory and application of statistics, data-mining and machine learning using techniques from management science, marketing, finance, consulting, and bioinformatics. Covers bootstrap theory of estimation, testing, nonparametric statistics, analysis of variance, experimental design, categorical data analysis, regression analysis, MCMC, and Bayesian methods. Focuses on data mining, supervised learning, and multivariate analysis. Topics chosen from logistic regression, principal components and dimension reduction; discrimination and classification analysis, trees (CART), partial least squares, nearest neighbors, regularized methods, support vector machines, boosting and bagging, clustering, independent component analysis, and nonparametric regression. Uses statistics software R, Python, and MATLAB. Grading based on homework, cases, and a term project.
| true |
Spring
|
Graduate
|
4-0-8
|
Permission of instructor
|
IDS.147[J]
| false | false | false |
False
|
False
|
False
|
15.081[J]
|
Introduction to Mathematical Programming
|
Introduction to linear optimization and its extensions emphasizing both methodology and the underlying mathematical structures and geometrical ideas. Covers classical theory of linear programming as well as some recent advances in the field. Topics: simplex method; duality theory; sensitivity analysis; network flow problems; decomposition; robust optimization; integer programming; interior point algorithms for linear programming; and introduction to combinatorial optimization and NP-completeness.
| true |
Fall
|
Graduate
|
4-0-8
|
18.06
|
6.7210[J]
| false | false | false |
False
|
False
|
False
|
15.083
|
Integer Optimization
|
In-depth treatment of mixed-integer optimization. Topics include modeling techniques, combinatorial optimization, ideal formulations, cutting plane methods, branching algorithms, row generation algorithms, column generation algorithms, heuristic algorithms, and mixed-integer non-linear optimization. Instruction provided in modeling complex problems arising in practice; understanding the theory of integer optimization; knowing the core technologies employed within modern solvers; and developing algorithms to solve large-scale problems for which off-the-shelf solvers may not be sufficient. Examples drawn from a broad range of industries, such as transportation, energy, telecommunications, finance, product design, sports, and social networks. Includes a term project.
| true |
Spring
|
Graduate
|
4-0-8
|
6.7210 or 15.093
| null | false | false | false |
False
|
False
|
False
|
15.084[J]
|
Nonlinear Optimization
|
Unified analytical and computational approach to nonlinear optimization problems. Unconstrained optimization methods include gradient, conjugate direction, Newton, sub-gradient and first-order methods. Constrained optimization methods include feasible directions, projection, interior point methods, and Lagrange multiplier methods. Convex analysis, Lagrangian relaxation, nondifferentiable optimization, and applications in integer programming. Comprehensive treatment of optimality conditions and Lagrange multipliers. Geometric approach to duality theory. Applications drawn from control, communications, machine learning, and resource allocation problems.
| true |
Spring
|
Graduate
|
4-0-8
|
18.06 and (18.100A, 18.100B, or 18.100Q)
|
6.7220[J]
| false | false | false |
False
|
False
|
False
|
15.085[J]
|
Fundamentals of Probability
|
Introduction to probability theory. Probability spaces and measures. Discrete and continuous random variables. Conditioning and independence. Multivariate normal distribution. Abstract integration, expectation, and related convergence results. Moment generating and characteristic functions. Bernoulli and Poisson process. Finite-state Markov chains. Convergence notions and their relations. Limit theorems. Familiarity with elementary probability and real analysis is desirable.
| true |
Fall
|
Graduate
|
4-0-8
|
Calculus II (GIR)
|
6.7700[J]
| false | false | false |
False
|
False
|
False
|
15.086
|
Engineering Probability
|
Introduction to applied probability. Makes real-life problems central to the pedagogy and aims for an intuitive understanding of probability as well as mastery of key probabilistic concepts and methods. Preference to first-year Leaders for Global Operations students.
| true |
Summer
|
Graduate
|
1-0-2
|
Calculus I (GIR) and permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.087
|
Engineering Statistics and Data Science
|
Develops ideas for making principled decisions and recommendations based on data, providing an introduction to statistical inference and statistical learning. Covers data displays and summary statistics for quantitative and qualitative data, the law of large numbers for means and empirical distributions, the normal distribution and the central limit theorem, confidence intervals, statistical hypothesis tests for the population mean and differences between population means, simple and multiple regression with quantitative data, model selection, the bias-variance tradeoff, logistic regression for binary outcomes, CART, random forests, gradient boosting, and deep learning. The statistical programming language R is used for in-class demonstrations and for out-of-class assignments. Preference to first-year Leaders for Global Operations students. No required textbook.
| true |
Summer
|
Graduate
|
4-0-8
|
Calculus II (GIR), 15.086, 18.06, and permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.089
|
Analytics Capstone
|
Practical application of business analytics problems within a real company. Teams of 1-2 students, matched with company projects, visit companies to define project and scope. In class, students refine and improve on projects and devise methods for solving problems for their select companies. Mentors are assigned to each team. The culmination of the program is summer, on-site, practical training. Restricted to Master of Business Analytics students.
| true |
IAP, Spring, Summer
|
Graduate
|
rranged
| null | null | false | false | false |
False
|
False
|
False
|
15.090
|
Common Experience in Operations Research
|
Provides students with experience working in teams on a data-driven ML project. After a week of classes that cover a range of tools (Keras, Google Collab, etc.) and deep learning technologies, students compete in teams in a jointly chosen Kaggle competition. Short homework assignments help students get acquainted with the required technologies, and regular presentations foster interactions within the ORC cohort. Restricted to Operations Research Center doctoral students.
| true |
Summer
|
Graduate
|
rranged [P/D/F]
| null | null | false | false | false |
False
|
False
|
False
|
15.094[J]
|
Robust Modeling, Optimization, and Computation
|
Introduces modern robust optimization, including theory, applications, and computation. Presents formulations and their connection to probability, information and risk theory for conic optimization (linear, second-order, and semidefinite cones) and integer optimization. Application domains include analysis and optimization of stochastic networks, optimal mechanism design, network information theory, transportation, pattern classification, structural and engineering design, and financial engineering. Students formulate and solve a problem aligned with their interests in a final project.
| true |
Spring
|
Graduate
|
4-0-8
|
18.06 or permission of instructor
|
1.142[J]
| false | false | false |
False
|
False
|
False
|
15.095
|
Machine Learning Under a Modern Optimization Lens
|
Develops algorithms for central problems in machine learning from a modern optimization perspective. Topics include sparse, convex, robust and median regression; an algorithmic framework for regression; optimal classification and regression trees, and their relationship with neural networks; how to transform predictive algorithms to prescriptive algorithms; optimal prescriptive trees; and robust classification. Also covers design of experiments, missing data imputations, mixture of Gaussian models, exact bootstrap, and sparse matrix estimation, including principal component analysis, factor analysis, inverse co-variance matrix estimation, and matrix completion.
| true |
Fall
|
Graduate
|
3-1-8
|
6.7210, 15.093, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.097
|
Seminar in Statistics and Data Analysis
|
Group study of current topics related to statistics and data analysis.
| true |
Fall
|
Graduate
|
rranged
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
15.098
|
Seminar in Applied Probability and Stochastic Processes
|
Doctoral student seminar covering current topics in applied probability and stochastic processes.
| true |
Fall
|
Graduate
|
2-0-4
|
6.3702
| null | false | false | false |
False
|
False
|
False
|
15.099
|
Seminar in Operations Research
|
Doctoral student seminar covering current topics related to operations research.
| true |
Spring
|
Graduate
|
rranged
|
6.7210
| null | false | false | false |
False
|
False
|
False
|
15.110
|
Operations Research Experience Internship
|
Required subject in which students engage in an off-campus internship where they build operations research models and work with data that addresses a real-world problem. Internship experience must be at least ten weeks in length and students must have a formal offer letter from their employer or organization. Requirements include a report summarizing how OR models and methods were used by the student participating in the internship and a letter from the internship advisor. Report must be submitted to the ORC academic administrator upon completion of the internship. Restricted to ORC students. Additional restrictions may apply.
| true |
Summer
|
Graduate
|
rranged [P/D/F]
| null | null | false | false | false |
False
|
False
|
False
|
15.128[J]
|
Revolutionary Ventures: How to Invent and Deploy Transformative Technologies
|
Seminar on envisioning and building ideas and organizations to accelerate engineering revolutions. Focuses on emerging technology domains, such as neurotechnology, imaging, cryotechnology, gerontechnology, and bio-and-nano fabrication. Draws on historical examples as well as live case studies of existing or emerging organizations, including labs, institutes, startups, and companies. Goals range from accelerating basic science to developing transformative products or therapeutics. Each class is devoted to a specific area, often with invited speakers, exploring issues from the deeply technical through the strategic. Individually or in small groups, students prototype new ventures aimed at inventing and deploying revolutionary technologies.
| true |
Fall
|
Graduate
|
2-0-7
|
Permission of instructor
|
9.455[J], 20.454[J], MAS.883[J]
| false | false | false |
False
|
False
|
False
|
15.136[J]
|
Principles and Practice of Drug Development
|
Description and critical assessment of the major issues and stages of developing a pharmaceutical or biopharmaceutical. Drug discovery, preclinical development, clinical investigation, manufacturing and regulatory issues considered for small and large molecules. Economic and financial considerations of the drug development process. Multidisciplinary perspective from faculty in clinical; life; and management sciences; as well as industry guests.
| true |
Fall
|
Graduate
|
3-0-6
|
Permission of instructor
|
10.547[J], HST.920[J], IDS.620[J]
| false | false | false |
False
|
False
|
False
|
15.137[J]
|
Case Studies and Strategies in Drug Discovery and Development
|
Aims to develop appreciation for the stages of drug discovery and development, from target identification, to the submission of preclinical and clinical data to regulatory authorities for marketing approval. Following introductory lectures on the process of drug development, students working in small teams analyze how one of four new drugs or drug candidates traversed the discovery/development landscape. For each case, an outside expert from the sponsoring drug company or pivotal clinical trial principal investigator provides guidance and critiques the teams' presentations to the class.
| true |
Spring
|
Graduate
|
2-0-4
| null |
7.549[J], 20.486[J], HST.916[J]
| false | false | false |
False
|
False
|
False
|
15.141[J]
|
Economics of Health Care Industries
|
Uses economics as a framework to consider healthcare issues, including differences between health care and other industries, the role of health insurance, regulatory issues and incentives for innovation, data analytics to measure value, personalized/stratified medicines, strategic issues in pricing and marketing, use of e-commerce and information technology, and formation and management of various alliances. Provides a better understanding of the US healthcare landscape, and considers incentives for global health investments. Visiting speakers from industry and academia provide multiple expert viewpoints on these topics. Expectations and evaluation criteria differ for students taking the graduate version; consult syllabus or instructor for specific details.
| true |
Spring
|
Graduate
|
3-0-3
| null |
HST.918[J]
| false | false | false |
False
|
False
|
False
|
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