Courses tagged with "Information environments" (172)

This course builds on the work done concurrently in 15.280 Communication for Managers and 15.311 Organizational Processes in the first semester of the MBA program. 15.280 is offered for 6 units and 15.277 provides an additional 3 units for a total of 9 units in Managerial Communication. 15.277 acts as a lab component to 15.280 and provides students additional opportunities to hone their communication skills through a variety of in-class exercises. Emphasis is on both individual and team communication.

15.762J Supply Chain Planning focuses on effective supply chain strategies for companies that operate globally, with an emphasis on how to plan and integrate supply chain components into a coordinated system. Students are exposed to concepts and models important in supply chain planning with emphasis on key tradeoffs and phenomena. The course introduces and utilizes key tactics such as risk pooling and inventory placement, integrated planning and collaboration, and information sharing. Lectures, computer exercises, and case discussions introduce various models and methods for supply chain analysis and optimization.

This class is an applications-oriented course covering the modeling of large-scale systems in decision-making domains and the optimization of such systems using state-of-the-art optimization tools. Application domains include: transportation and logistics planning, pattern classification and image processing, data mining, design of structures, scheduling in large systems, supply-chain management, financial engineering, and telecommunications systems planning. Modeling tools and techniques include linear, network, discrete and nonlinear optimization, heuristic methods, sensitivity and post-optimality analysis, decomposition methods for large-scale systems, and stochastic optimization.

This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5223 (System Optimisation: Models and Computation).

This six-week summer course teaches basic concepts of corporate financial accounting and reporting. This information is widely used in making investment decisions, corporate and managerial performance assessment, and valuation of firms. Students perform economics-based analysis of accounting information from the viewpoint of the users of accounting information (especially senior managers) rather than the preparer (the accountant). This course is restricted to MIT Sloan Fellows in Innovation and Global Leadership.

The 15.821 and 15.822 Sequence

Marketing research may be divided into methods that emphasize understanding "the customer" and methods that emphasize understanding "the market." This course (15.821) deals with the customer and emphasizes qualitative methods (interviews, focus groups, Voice of the Customer, composing questions for a survey). The companion course (15.822) deals with the market and emphasizes quantitative methods (sampling, survey execution, quantitative data interpretation, conjoint analysis, factor analysis).

The methods covered in 15.821 are often used in the "front-end" of market research project, whose second-stage is a quantitative survey. The quality of information gathered in the second-stage is greatly enhanced in this way.

15.821 is designed for the nonspecialist, e.g., someone planning a career in general management, product or project management, R&D, advertising, or entrepreneurship. 15.822 teaches analytical techniques that are standard in consulting or marketing research, and is ideally suited for students planning careers in those fields.

The purpose of this class is to advance your understanding of how to use financial information to value and analyze firms. We will apply your economics/accounting/finance skills to problems from today's business news to help us understand what is contained in financial reports, why firms report certain information, and how to be a sophisticated user of this information.

This is a course in how corporations make use of the insights and tools of risk management. Most courses on derivatives, futures and options, and financial engineering are taught from the viewpoint of investment bankers and traders in the securities. This course is taught from the point of view of the manufacturing corporation, the utility, the software firm—any potential end-user of derivatives, but not the dealer. Most related courses focus on the extensive taxonomy of instruments and the complex models developed to price them, and on ways to exploit mispricing. While this course will make use of some of these pricing models, the focus is on how corporations use the insights and models to improve their operations, to increase the value of their real assets, or to create the financial flexibility necessary to implement their core strategy.

This course explores the theory behind and evidence on regulatory, tax, and other government responses to problems of market failure. Special emphasis is given to developing and implementing tools to evaluate environmental policies. Other topics include cost-benefit analysis, measurement of the benefits of non-market goods and costs of regulations, and the evaluation of the impact of regulations in areas such as financial markets, workplace health and safety, consumer product safety, and other contexts.

This course offers an introduction to noncooperative game theory. The course is intended both for graduate students who wish to develop a solid background in game theory in order to pursue research in the applied fields of economics and related disciplines, and for students wishing to specialize in economic theory. While the course is designed for graduate students in economics, it is open to all students who have taken and passed 14.121.

This course focuses on the origins, functions, and implications of downtown management organizations (DMOs), such as business improvement districts, in a variety of national contexts including the United States, Canada, South Africa, and the United Kingdom. It critically examines how a range of urban theories provide a rationale for the establishment and design of DMOs; the evolution and transnational transfer of DMO policy; and the spatial and political externalities associated with the local proliferation of DMOs. Particular emphasis is given to the role of DMOs in securing public space.

15.769 Operations Strategy provides a unifying framework for analyzing strategic issues in manufacturing and service operations. Students analyze the relationships between manufacturing and service companies and their suppliers, customers, and competitors. The course covers strategic decisions in technology, facilities, vertical integration, human resources, and other areas, and also explores means of competition such as cost, quality, and innovativeness.

This course is divided into two sections, Part I and Part II.  Part I, found here, provides an introduction to statistical theory. A brief review of probability will be given mainly as background material, however, it is assumed to be known. Topics include normal distribution, limit theorems, Bayesian concepts, and testing, among others. 

Part II prepares students for the remainder of the econometrics sequence and and can be found by visiting 14.381 Fall 2006. 

This course seeks to establish understanding of the development processes of societies and economies by studying several dimensions of sustainability (environmental, social, political, institutional, economy, organizational, relational, and personal) and the balance among them. It explores the basics of governmental intervention, focusing on areas such as the judicial system, environment, social security, and health, and builds skills to determine what type of policy is most appropriate. We also consider implications of new technologies on the financial sector: Internationalization of currencies, mobile payment systems, and cryptocurrencies, and discuss the institutional framework to ensure choices are sustainable across all dimensions and applications. 

This class uses lab exercises and a workshop setting to help students develop a solid understanding of the planning and public management uses of geographic information systems (GIS). The goals are to help students: acquire technical skills in the use of GIS software; acquire qualitative methods skills in data and document gathering, analyzing information, and presenting results; and investigate the potential and practicality of GIS technologies in a typical planning setting and evaluate possible applications.

The workshop teaches GIS techniques and basic database management at a level that extends somewhat beyond the basic thematic mapping and data manipulation skills included in the MCP core classes (viz. 11.204 and 11.220). Instead of focusing on one thematic map of a single variable, students will concentrate on more open-ended planning questions that invite spatial analysis but will require judgment and exploration to select relevant data and mapping techniques; involve mixing and matching new, local data with extracts from official records (such as census data, parcel data and regional employment and population forecasts); utilize spatial analysis techniques such as buffering, address matching, overlays; use other modeling and visualization techniques beyond thematic mapping; and raise questions about the skills, strategy, and organizational support needed to sustain such analytic capability within a variety of local and regional planning settings.

Students seeking graduate credit should enroll in the subject 11.520; undergraduates should enroll in the subject 11.188. The subjects meet together and have nearly identical content.

ArcGIS/ArcMap/ArcInfo Graphical User Interface is the intellectual property of ESRI and is used herein with permission. Copyright © ESRI. All rights reserved.

This course introduces interactive oral and interpersonal communication skills critical to leaders, including strategies for presenting to a hostile audience, running effective and productive meetings, active listening, and contributing to group decision-making. There are team-run classes on chosen communication topics, and an individual analysis of leadership qualities and characteristics. Students deliver an oral presentation and an executive summary, both aimed at a business audience.

This course is designed to introduce first-year Sloan MBA students to the fundamental techniques of using data. In particular, the course focuses on various ways of modeling, or thinking structurally about decision problems in order to make informed management decisions.

This course introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Emphasis is on methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming and optimal control methods.

This course is designed to teach students how to price goods and services by providing a framework for understanding pricing strategies and tactics. Topics covered include economic value analysis, price elasticities, price customization, pricing complementary products, pricing in platform markets and anticipating competitive price responses.