Continuation of 15.871, emphasizing tools and methods needed to apply systems thinking and simulation modeling successfully in complex real-world settings. Uses simulation models, management flight simulators, and case studies to deepen the conceptual and modeling skills introduced in 15.871. Through models and case studies of successful applications students learn how to use qualitative and quantitative data to formulate and test models, and how to work effectively with senior executives to implement change successfully.

Systems Engineering is an interdisciplinary approach and means to enable the realization of successful systems. It focuses on defining customer needs and required functionality early in the development cycle, documenting requirements, then proceeding with design synthesis and system validation while considering the complete problem including operations, performance, test, manufacturing, cost, and schedule. This subject emphasizes the links of systems engineering to fundamentals of decision theory, statistics, and optimization. It also introduces the most current, commercially successful techniques for systems engineering.

A computational and application-oriented introduction to the modeling of large-scale systems in a wide variety of decision-making domains and the optimization of such systems using state-of-the-art optimization software. Application domains include transportation and logistics, pattern classification, structural design, financial engineering, and telecommunications system planning. Modeling tools and techniques covered include linear, network, discrete, and nonlinear programming, heuristic methods, sensitivity and postoptimality analysis, decomposition methods for large-scale systems, and stochastic programming.

This course treats public-sector policies, programs, and projects that attempt to increase employment through development-promoting measures in the economic realm, through support and regulation. It discusses the types of initiatives, tasks, and environments that are most conducive to equitable outcomes, and emphasizes throughout the understandings gained about why certain initiatives work and others don’t.

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.

The Team Project has the goals of (1) developing teamwork and leadership skills and (2) learning from the analysis of a change initiative in a real-world company using concepts from other core courses. This class has no regular class schedule or weekly readings. Almost everything is oriented around your team and your project, with only a few deadlines. Each team is responsible for analyzing a recent, ongoing, or anticipated initiative at a real company. Examples might be a strategic reorientation, organizational restructuring, introduction of a new technology, or worker participation program. From the course home page: This course is closely integrated with other MBA core classes: readings are assigned through Organizational Processes (15.311) and oral presentations are given in Communication for Managers (15.280).

Companies and governments have to decide upon technological strategies, i.e. which products are to be developed and which processes and infrastructures are required for the future. Several tools to consider technological strategies are dealt with in this course.

Technology Policy Negotiations and its prequel, ESD.932, Technology Policy Organizations, form a sequence on Organizational Processes in Technology Policy. This course provides a core framework for an interest-based approach to negotiations, along with a systems approach to dispute resolution in organizations. Core interactive skills are developed, including communication skills, negotiating over the "rules of game," and cross-cultural negotiations. Key assigments center on ethical debates in technology policy, regional economic development challenges, and assessment of organizational dispute resolution systems.

" This course provides you with a framework to understand the structure and dynamics of high-tech businesses, together with an approach for their effective strategic management. It is focused on domains in which systems are important, because either or both products are parts of larger and more complex systems, or they are comprised of systems. The domains covered include computing, communications (in particular the mobile and IP domains), consumer electronics, industrial networking, automotive, aerospace and medical devices. The course will be of particular interest to those interested in managing a business in which technology will likely play a major role, and also to those interested in investing in or providing counsel to these businesses. The emphasis throughout is on the development and application of ways of thinking or mental models that bring clarity to the complex co-evolution of technological innovation, the demand opportunity, systems architecture, business ecosystems, and decision-making and execution within the business."

Companies and governments have to decide upon technological strategies, i.e. which products are to be developed and which processes and infrastructures are required for the future. Several tools to consider technological strategies are dealt with in this course.

Focus on theoretical work for studying operations planning and control problems. Topics vary from year to year, and include inventory theory, sequencing theory, aggregate production planning, production scheduling, multistage production/distribution systems, performance evaluation, and flexible manufacturing systems.

The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks.

We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, Maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics.

A survey of several time management tools and techniques that can be applied to most work and life situations.

" This course is an advanced topics course on market and mechanism design. We will study existing or new market institutions, understand their properties, and think about whether they can be re-engineered or improved. Topics discussed include mechanism design, auction theory, one-sided matching in house allocation, two-sided matching, stochastic matching mechanisms, student assignment, and school choice."

Toy Product Design is a MIT Public Service Center learning design course offered in the Spring semester. This course is an introduction to the product design process with a focus on designing for play and entertainment. At the end of the course, students present their toy products at the Playsentations to toy designers, engineers, elementary school children and the MIT community. In this course, students work in small teams of 5-6 members to design and prototype new toys. Students work closely with a local sponsor and experienced mentors on a themed toy design project. Students will be introduced to the product development process, including: determining customer needs; brainstorming; estimation; sketching; sketch modeling; concept development; design aesthetics; detailed design; prototyping; and written, visual, and oral communication.

Management methods of relevance to public transportation systems. Topics: strategic planning management; labor relations; maintenance planning and administration; financing; marketing and fare policy; and management information and decision support systems. Shows how these general management tasks are dealt with in the transit industry and presents alternative strategies. Identifies alternative arrangements for service provision, including different ways of involving the private sector in public transportation.

A survey subject of current concepts, theories, and issues in strategic management of transportation organizations. Provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, change management, and the impact of globalization.

Through a combination of lectures, cases, and class discussions the subject examines the economic and political conflict between transportation and the environment. Investigates the role of government regulation, green business and transportation policy as a facilitator of economic development and environmental sustainability. Analyzes a variety of international policy problems including government-business relations, the role of interest groups, non-governmental organizations, and the public and media in the regulation of the automobile; sustainable development; global warming; politics of risk and siting of transport facilities; environmental justice; equity; as well as transportation and public health in the urban metropolis. Provides students with an opportunity to apply transportation and planning methods to develop policy alternatives in the context of environmental politics.

The main objective of this course is to give broad insight into the different facets of transportation systems, while providing a solid introduction to transportation demand and cost analyses. As part of the core in the Master of Science in Transportation program, the course will not focus on a specific transportation mode but will use the various modes to apply the theoretical and analytical concepts presented in the lectures and readings. Introduces transportation systems analysis, stressing demand and economic aspects. Covers the key principles governing transportation planning, investment, operations and maintenance. Introduces the microeconomic concepts central to transportation systems. Topics covered include economic theories of the firm, the consumer, and the market, demand models, discrete choice analysis, cost models and production functions, and pricing theory. Application to transportation systems include congestion pricing, technological change, resource allocation, market structure and regulation, revenue forecasting, public and private transportation finance, and project evaluation; covering urban passenger transportation, freight, aviation and intelligent transportation systems."

U-Lab: Leading Profound Innovation for a More Sustainable World is an interactive and experiential class about leading profound innovation for pioneering a more sustainable economy and society. The class is organized around personal reflection practices, relational practices, and societal practices. It focuses on the intertwined relationship between the evolution of capitalism, multi-stakeholder innovation, and presencing.