There are several hundred thousand Brownfield sites across the country. The large number of sites, combined with how a majority of these properties are located in urban and historically underserved communities, dictate that redevelopment of these sites stands to be a common theme in urban planning for the foreseeable future. Students form a grounded understanding of the Brownfield lifecycle: how and why they were created, their potential role in community revitalization, and the general processes governing their redevelopment. Using case studies and guest speakers from the public, private and non-profit sectors, students develop and hone skills to effectively address the problems posed by these inactive sites.

Carrier systems involve the design, operation, and management of transportation networks, assets, personnel, freight, and passengers. A number of different carrier systems are contrasted while models and tools for analyzing, optimizing, planning, managing, and controlling these systems are presented.

This subject explores the techniques, processes, and personal and professional skills required to effectively manage growth and land use change. While primarily focused on the planning practice in the United States, the principles and techniques reviewed and presented may have international application. This course is not for bystanders; it is designed for those who wish to become actively involved or exposed to the planning discipline and profession as it is practiced today, and as it may need to be practiced in the future.

This reader is an Open Educational Resource, meant to accompany a graduate or higher-level undergraduate university course in climate change resilience, adaptation, and/or planning. While the material is geared toward students in urban and regional planning, it may also be of interest to students of urban studies, public health, geography, political science, sociology, risk management, and others.

Each section of this volume includes (1) an introductory summary, (2) a reading list with full-text articles, (3) student exercises meant to enhance understanding and facilitate in-class discussion, and (4) additional discussion prompts or activities for instructors to use in class. The format of materials is intended to convey key concepts while leaving ample space for student exploration, discourse, and creativity. Lessons may culminate in an applied, imaginative final project, a sample framework of which is provided at the end of Section VI.

The attached file is a course schedule or outline template in a Word document. It contains a table with columns for week, dates, topic, and activities/assignments. The table has rows for each week of a 15 week course, with dates, topics, and placeholder activities and assignments filled in.

Written entirely by members of the Canadian Society of Soil Science, "Digging into Canadian Soils: An Introduction to Soil Science" provides an introduction to the core disciplines of soil science, and introduces the concepts and vocabulary needed by students just beginning their soil science journey. The textbook provides supplementary materials that are specific to regions in Canada, or may be of specific interest beyond what might be considered introductory soil science material. Importantly, the textbook also is intended to introduce students to the Canadian System of Soil Classification by providing examples from across the length and breadth of the world’s second largest country, and to the Canadian Society of Soil Science, whose members share a common passion for soil science and are keen to share and instill this passion with students across Canada.

Frameworks and Models for Technology and Policy students explore perspectives in the policy process -- agenda setting, problem definition, framing the terms of debate, formulation and analysis of options, implementation and evaluation of policy outcomes using frameworks including economics and markets, law, and business and management. Methods include cost/benefit analysis, probabilistic risk assessment, and system dynamics. Exercises for Technology and Policy students include developing skills to work on the interface between technology and societal issues; simulation exercises; case studies; and group projects that illustrate issues involving multiple stakeholders with different value structures, high levels of uncertainty, multiple levels of complexity; and value trade-offs that are characteristic of engineering systems. Emphasis on negotiation, team building and group dynamics, and management of multiple actors and leadership. This course explores perspectives in the policy process - agenda setting, problem definition, framing the terms of debate, formulation and analysis of options, implementation and evaluation of policy outcomes using frameworks including economics and markets, law, and business and management. Methods include cost/benefit analysis, probabilistic risk assessment, and system dynamics. Exercises include developing skills to work on the interface between technology and societal issues; simulation exercises; case studies; and group projects that illustrate issues involving multiple stakeholders with different value structures, high levels of uncertainty, multiple levels of complexity; and value trade-offs that are characteristic of engineering systems. Emphasis on negotiation, team building and group dynamics, and management of multiple actors and leadership.

Our objective in this course is to introduce you to concepts and techniques related to the design, planning, control, and improvement of manufacturing and service operations. The course begins with a holistic view of operations, where we stress the coordination of product development, process management, and supply chain management. As the course progresses, we will investigate various aspects of each of these three tiers of operations in detail. We will cover topics in the areas of process analysis, materials management, production scheduling, quality improvement, and product design. To pursue the course objective most effectively, you will have to: 1. Study the assigned reading materials. 2. Prepare and discuss cases, readings, and exercises in class. 3. Prepare written analyses of cases.

Subject focuses on methods of digital visualization and communication and their application to planning issues. Lectures introduce methods for describing or representing a place and its residents, for simulating actions and changes, for presenting visions of the future, and for engaging multiple actors in the process of envisioning change and guiding action. Laboratory time allows students to apply these methods by designing a web-based portfolio that is critiqued throughout the semester, and evolves as they advance through the program. This course focuses on methods of digital visualization and communication and their application to planning issues. Lectures will introduce a variety of methods for describing or representing a place and its residents, for simulating changes, for presenting visions of the future, and for engaging multiple actors in the process of guiding action. Through a series of laboratory exercises, students will apply these methods in the construction of a web-based portfolio. The portfolio is not only the final project for the course, but will serve as a container for other course work throughout the MCP program. This course aims to introduce students to (1) such persistent and recurring themes as place, race, power and the environment that face planners, (2) the role of digital technologies in representing, analyzing, and mobilizing communities, (3) MIT faculty and their work, (4) MIT's computing environment and resources including Athena, Element K, the ESRI virtual campus, Computer Resources Laboratory (CRL), Campus Wide Information Systems Support (CWIS), the GIS Laboratory at Rotch Library and (5) software tools like Adobe Photoshop and Illustrator, ESRI ArcView, Microsoft Access, and Macromediaĺ¨ Dreamweaver that will assist them in creating digital images, working with relational databases, and launching a web-based portfolio. Macromediaĺ¨ is a trademark or registered trademark of Macromedia, Inc. in the United States and/or other countries.

Planning Economics will apply microeconomic theory to issues that markets don't always handle well and so are not usually covered in a standard microeconomics course. Issues for this year include global warming, how you value a national park, the economics and politics of New York City development, how cities form and why people are willing to pay more to live in, say, the Boston Metro area, than they would pay to live in rural North Dakota, and how to evaluate costs and benefits that occur at different points in time.

This course is being offered in conjunction with the colloquium The Politics of Reconstructing Iraq, which is sponsored by MIT's Center for International Studies and Department of Urban Studies and Planning. Fundamentally, the course focuses on contemporary post-conflict countries (or in-conflict countries) and the role of planning and reconstruction in building nations, mitigating conflicts, reshaping the social, spatial, geopolitical, and political life, and determining the country's future.

This workshop provides an introduction to urban environmental design and explores the potential of information technology and the Internet to transform public education, city design, and community development in inner-city neighborhoods. Integration of comprehensive ("top-down") and grassroots ("bottom-up") approaches to design and planning is a major theme.

This course surveys a variety of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their application, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, and machine learning. Optimization paradigms include linear programming, integer programming, and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes.

" This course develops logical, empirically based arguments using statistical techniques and analytic methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitations of analytical techniques in planning practice."

This course provides an introduction to the issues of immigrants, planning, and race. It identifies the complexities and identities of immigrant populations emerging in the United States context and how different community groups negotiate that complexity. It explores the critical differences and commonalities between immigrant and non-immigrant communities, as well as how the planning profession does and should respond to those differences. Finally, the course explores the intersection of immigrant communities' formation and their interactions with African Americans and the idea of race in the United States.

6.780 covers statistical modeling and the control of semiconductor fabrication processes and plants. Topics include design of experiments, response surface modeling, and process optimization; defect and parametric yield modeling; process/device/circuit yield optimization; monitoring, diagnosis, and feedback control of equipment and processes; analysis and scheduling of semiconductor manufacturing operations.

This course is a graduate reading seminar, in which historical and contemporary studies are used to explore the interaction of technology with social and political values. Emphasis is on how technological devices, structures, and systems influence the organization of society and the behavior of its members. Examples are drawn from the technologies of war, transportation, communication, production, and reproduction.

The goals of this textbook are to help students acquire the technical skills of using software and managing a database, and develop research skills of collecting data, analyzing information and presenting results. We emphasize that the need to investigate the potential and practicality of GIS technologies in a typical planning setting and evaluate its possible applications. GIS may not be necessary (or useful) for every planning application, and we anticipate these readings to provide the necessary foundation for discerning its appropriate use. Therefore, this textbook attempts to facilitate spatial thinking focusing more on open-ended planning questions, which require judgment and exploration, while developing the analytical capacity for understanding a variety of local and regional planning challenges.
While this textbook provides the background for understanding the concepts in GIS as applicable to urban and regional planning, it is best when accompanied by a hands-on tutorial, which will enable readers to develop an in-depth understanding of the specific planning applications of GIS. Chapters in this text book are either composed by the editors using Creative Common materials, or linked to a book chapter scanned copy in the library reserve. In the end of each chapter, we also provided several discussion questions, together with contextual applications through some web links.

Subject provides a conceptual framework for thinking about taxes. Applications covered include mergers and acquisitions, tax arbitrage strategies, business entity choice, executive compensation, multi-national tax planning, and others. Aimed at investment bankers and consultants who need to understand how taxes affect the structure of deals; managers and analysts who need to understand how firms strategically respond to taxes; and entrepreneurs who want to structure their finances in a tax-advantaged manner.

1. Objectives of modelling in transport and spatial planning. Model types. Theory of travel and locational behaviour. System description of planning area. Theory of choice models. Aggregate and disaggregate models. Mode choice, route choice and assignment modelling. Locational choice modelling. Parameter estimation and model calibration. Cases and exercises in model application; 2. Role of models in transportation and spatial systems analysis; model types; designing system description of study area (zonal segmentation, network selection); role of shortest path trees; 3. Utility theory for travel and location choice; trip generation models, trip distribution models; applications; 4. Theory of spatial interaction model; role of side constraints; distribution functions and their estimations; constructing base matrices and estimating OD-tables; 5. Theory of individual choice models; 6. Disaggregated choice models of the logit and probit type for time choice, mode choice, route choice and location choice; 7. Integrated models (sequential and simultaneous) for constructing OD-tables; 8. Equilibrium theory in networks and spatial systems; 9. Route choice and assignment; derivation of different model types (all-or-nothing model, multiple route model, (stochastic) equilibrium model); assignment in public transportation networks; analyses of effects; 10. Calibration of parameters and model validation; observation, estimation, validation; estimation methods; 11. Individual exercise computing travel demand in networks; getting familiar with software; computing all transportation modelling steps; analyse own planning scenarios; writing a report.Study Goals: 1. Insight in the function of mathematical models in transportation and spatial planning; 2. Knowledge of theoretical backgrounds of models; 3. Knowledge of application areas of models; 4. Ability to develop one's own plan of analysis for model computations; 5. Ability to apply models on planning problems; 6. Ability to present outcomes of model computations.