Courses tagged with "Information environments" (1105)

This course is a study of speech sounds: how we produce and perceive them and their acoustic properties. It explores the influence of the production and perception systems on phonological patterns and sound change. Acoustic analysis and experimental techniques are also discussed.

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.

This course is designed for high-intermediate ESL students who need to develop better listening comprehension and oral skills, which will primarily be achieved by detailed instructions on pronunciation. Our focus will be on (1) producing accurate and intelligible English, (2) becoming more comfortable listening to rapidly spoken English, and (3) learning common expressions, gambits, and idioms used in both formal and informal contexts.

Our subject is the ethics of leadership, an examination of the principles appealed to by executive authority when questions arise about its sources and its legitimacy. Most treatments of this subject resort to case-studies in order to illustrate the application of ethical principles to business situations, but our primary emphasis will be upon classic works of imaginative literature, which convey more directly than case-studies the ethical pressures of decision-making. Readings will include works by Shakespeare, Sophocles, Shaw, E.M. Forster, Joseph Conrad, George Orwell, Fyodor Dostoyevsky, and Henrik Ibsen, among others. Topics to be discussed include the sources of authority, the management of consensus, the ideal of vocation, the ethics of deception, the morality of expediency, the requirements of hierarchy, the virtues and vices of loyalty, the relevance of ethical principles in extreme situations.

The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics.

The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics.

The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics.

This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required.

This subject is a survey of the fundamental analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. We place a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra and inter-company logistics operations.

While our main objective is to develop and use models to help us analyze these situations, we will make heavy use of examples from industry to provide illustrations of the concepts in practice. This is neither a purely theoretical nor a case study course, but rather an analytical course that addresses real problems found in practice.

6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, and Bayesian networks. The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work. The underlying theme in the course is statistical inference as it provides the foundation for most of the methods covered.

Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.

15.015 Macro and International Economics focuses on the policy and economic environment of firms. This subject divided in three parts. The first part of the course is a study of the closed economy and how monetary and fiscal policy interacts with employment, GNP, inflation, and interest rates. Next, the course provides an examination of national economic strategies for development and growth and recent financial and currency crises in emerging markets. Finally, the course addresses the problems faced by transition economies and the role of institutions both as the engine of growth, and as the constraints for policy.

This course covers issues in the theory of consumption, investment and asset prices. We lay out the basic models first, and then examine the empirical facts that motivate extensions to these models.

This course begins with a comparative review of conventional and advanced multiple attribute decision making (MADM) models in engineering practice. Next, a new application of particular MADM models in reliable material selection of sensitive structural components as well as a multi-criteria Taguchi optimization method is discussed. Other specific topics include dealing with uncertainties in material properties, incommensurability in decision-makers opinions for the same design, objective ways of weighting performance indices, rank stability analysis, compensations and non-compensations.

This 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 course will cover the following topics:

• Magnetostatics
• Origin of magnetism in materials
• Magnetic domains and domain walls
• Magnetic anisotropy
• Reversible and irreversible magnetization processes
• Hard and soft magnetic materials
• Magnetic recording

Special topics include magnetism of thin films, surfaces and fine particles; transport in ferromagnets, magnetoresistive sensors, and amorphous magnetic materials.

This course is an introduction to basic NMR theory. Examples of biochemical data obtained using NMR are summarized along with other related experiments. Students participate in detailed study of NMR imaging techniques, including discussions of basic cross-sectional image reconstruction, image contrast, flow and real-time imaging, and hardware design considerations. Exposure to laboratory NMR spectroscopic and imaging equipment is included.

This class does intensive close study and analysis of historically significant media "texts" that have been considered landmarks or have sustained extensive critical and scholarly discussion. Such texts may include oral epic, story cycles, plays, novels, films, opera, television drama and digital works. The course emphasizes close reading from a variety of contextual and aesthetic perspectives. The syllabus varies each year, and may be organized around works that have launched new modes and genres, works that reflect upon their own media practices, or on stories that migrate from one medium to another. At least one of the assigned texts is collaboratively taught, and visiting lectures and discussions are a regular feature of the subject.

The Malaysia Sustainable Cities Practicum is an intensive field-based course that brings 15 graduate students to Malaysia to learn about and analyze sustainable city development in five cities in Malaysia.

In the first part of the Practicum, which happens in the fall each year, selected graduate students in the Department of Urban Studies and Planning participate in an online self-study during which they learn about Malaysian culture, history, politics, ecology, geography, planning, and economics. They also learn about reflective practice and journaling. During the January Independent Activities Period, students and faculty travel to Malaysia for two weeks to conduct field-based research in conjunction with student and faculty colleagues at Universiti Teknologi Malaysia. The Practicum concludes with a one week group session at MIT that generates a Research Agenda spelling out suggested research topics for the next year's cohort of International Scholars. 

Lead Faculty

Professor Larry Susskind

Teaching Assistants

Jessica Gordon
Yasmin Zaerpoor

Administrative Staff

Takeo Kuwabara
Selmah Goldberg

This course examines management accounting and related analytical methodologies for decision making and control in profit-directed organizations. It also defines product costing, budgetary control systems, and performance evaluation systems for planning, coordinating, and monitoring the performance of a business. This course defines principles of measurement and develops framework for assessing behavioral dimensions of control systems; impact of different managerial styles on motivation and performance in an organization.

This course gives an overview of engineering management and covers topics such as financial principles, management of innovation, technology strategy, and best management practices. The focus of the course is the development of individual skills and team work. This is carried out through an exposure to management tools.