This seminar introduces students to basic principles of environmental justice and presents frameworks for analyzing and addressing inequalities in the distribution of environmental benefits and burdens from the perspectives of social science, public policy, and law.

This course focuses on national environmental and energy policy-making; environmental ethics; the techniques of environmental analysis; and strategies for collaborative environmental decision-making. The primary objective of the course is to help students formulate a personal theory of environmental planning practice. The course is taught comparatively, with constant references to examples from around the world. It is required of all Graduate / Professional students pursuing an environmental policy and planning specialization in the Department of Urban Studies and Planning at MIT. This course is the first subject in the Environmental Policy and Planning sequence. It reviews philosophical debates including growth vs. deep ecology, "command-and-controlâ€ vs. market-oriented approaches to regulation, and the importance of expertise vs. indigenous knowledge. Emphasis is placed on environmental planning techniques and strategies. Related topics "include the management of sustainability, the politics of ecosystem management, environmental governance and the changing role of civil society, ecological economics, integrated "assessment (combining environmental impact assessment (EIA) and risk assessment), joint fact finding in science-intensive policy disputes, environmental justice in poor communities of "color, and environmental dispute resolution. "Environmental Problem-Solving "(Susskind et al., 2017, Anthem Press), a video-enhanced eBook, provides students with full access to all the "assigned readings, faculty commentary on the readings, and examples of the best student performance on course assignments in previous years.

This course covers the fundamental principles, practices and tools of Lean Six Sigma methods that underlay modern organizational productivity approaches applied in aerospace, automotive, health care, and other sectors. It includes lectures, active learning exercises, a plant tour, talks by industry practitioners, and videos. One third of the course is devoted to a physical simulation of an aircraft manufacturing enterprise or a clinic to illustrate the power of Lean Six Sigma methods.
The course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise.

Sloan's Teaching Resources Library provides open access to case studies and management simulations for management educators and students worldwide. This collection of teaching materials and games focuses on areas in which Sloan's innovative research and teaching are on the cutting edge, including action learning, entrepreneurship, leadership and ethics, operations management, strategy, sustainability, and system dynamics.
Formerly known as LearningEdge, and MIT Sloan Teaching Innovation Resources (MSTIR).
Online Publication

15.768 Management of Services: Concepts, Design, and Delivery explores the use of operations tools and perspectives in the service sector, including both for-profit and not-for-profit organizations. The course builds on conceptual frameworks and cases from a wide range of service operations, selected from health care, hospitality, internet services, supply chain, transportation, retailing, food service, entertainment, financial services, humanitarian services, government services, and others.

In this course, you will learn the fundamentals of operations management as they apply to both production and service-based operations. Successful completion of this course will empower you to implement the concepts you have learned in your place of business. Even if you do not plan to work in operations, every department of every company has processes that must be completed; someone savvy with operations management will be able to improve just about any process.

15.317 Organizational Leadership and Change focuses on practical experience that blends theory and practice. Students reflect on prior leadership experiences and then apply lessons learned to further develop their leadership capabilities. The course requires active participation in all leadership classes and/or activities as well as short deliverables throughout the program.

This course explores policy and planning for sustainable development. It critically examines concept of sustainability as a process of social, organizational, and political development drawing on cases from the U.S. and Europe. It also explores pathways to sustainability through debates on ecological modernization; sustainable technology development, international and intergenerational fairness, and democratic governance.

This seminar will explore the purposes and development of Technology Roadmaps for systematically mapping out possible development paths for various technological domains and the industries that build on them. Data of importance for such roadmaps include rates of innovation, key bottlenecks, physical limitations, improvement trendlines, corporate intent, and value chain and industry evolutionary paths. The course will build on ongoing work on the MIT Communications Technology Roadmap project, but will explore other domains selected from Nanotechnology, Bio-informatics, Geno/Proteino/Celleomics, Neurotechnology, Imaging & Diagnostics, etc. Thesis and Special Project opportunities will be offered.

One objective of 15.066J is to introduce modeling, optimization and simulation, as it applies to the study and analysis of manufacturing systems for decision support. The introduction of optimization models and algorithms provide a framework to think about a wide range of issues that arise in manufacturing systems. The second objective is to expose students to a wide range of applications for these methods and models, and to integrate this material with their introduction to operations management.

The doctoral seminar 15.764 focuses on theoretical work for studying operations planning and control problems. This term's special topic, "Customer-Driven Operations," considers how a number of companies have succeeded in focusing their operation systems on the customer. The class reviews the quantitative models and theoretical tools underlying some of the customer-driven operational practices of these cutting-edge companies. Students will read and present research papers on topics such as distribution systems, short life-cycle product management, and forecast evolution models.
This MIT OpenCourseWare site is dedicated to the memory of Bhuwan Singh, a member of the class.

Additional practice problems related to Levels of Measurement.

*Supplemental resource to A.Holmes derivative statistics text.*

Additional practice problems related to tests of two independent population variances.

*Supplemental resource to A.Holmes derivative statistics text including adapted and revised problems.*

Introduction to the calculation of weighted means including demonstration and practice problems.

*Supplemental materials to A.Holmes derivative text.*

Material includes problems to help practice the mechanics of calculating the standard deviation for sets of population and sample data.

*Supplemental materials to A.Holmes derivative text.*

A summary description of Chebyshev's Theorem and the Empirical Rule including demonstration and practice problems.

*Supplemental Resource to A.Holmes Derivative Statistics Text.*

An introduction to Pearson's Coefficient of Skewness including demonstration and practice problems.

*Supplemental resource to A.Holmes derivative text.*

Additional practice problems related to Measures of Location: Quartiles, Percentiles, & IQR Values.

Includes demonstration of MS Excel commands.

*(2.2) Supplemental resource to A.Holmes derivative statistics text.*