Courses tagged with "Information environments" (172)

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 is a survey of world economic history, and it introduces economics students to the subject matter and methodology of economic history. It is designed to expand the range of empirical settings in students' research by drawing upon historical material and long-run data. Topics are chosen to show a wide variety of historical experience and illuminate the process of industrialization. The emphasis will be on questions related to labor markets and economic growth.

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 covers the key quantitative methods of finance: financial econometrics and statistical inference for financial applications; dynamic optimization; Monte Carlo simulation; stochastic (Itô) calculus. These techniques, along with their computer implementation, are covered in depth. Application areas include portfolio management, risk management, derivatives, and proprietary trading.

Carrier systems involve the design, operation and management of transportation networks, assets, personnel, freight and passengers. In this course, we will present models and tools for analyzing, optimizing, planning, managing and controlling carrier systems.

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 draws on a wide range of perspectives to explore the roots of long term competitive advantage in unusually successful firms. Using a combination of cases, simulations, readings and, most importantly, lively discussion, the course will explore the ways in which long term advantage is built from first mover advantage, increasing returns, and unique organizational competencies. We will focus particularly on the ways in which the actions of senior management build competitive advantage over time, and on the strategic implications of understanding the roots of a firm's success.

This course provides an overview of airline management decision processes with a focus on economic issues and their relationship to operations planning models and decision support tools. It emphasizes the application of economic models of demand, pricing, costs, and supply to airline markets and networks, and it examines industry practice and emerging methods for fleet planning, route network design, scheduling, pricing and revenue management.

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. 

15.012 Applied Macro- and International Economics uses case studies to investigate the macroeconomic environment in which firms operate. The first half of the course develops the basic tools of macroeconomic management: monetary, fiscal, and exchange rate policy. The class discusses recent emerging market and financial crises by examining their causes and considering how best to address them and prevent them from recurring in the future. The second half evaluates different strategies of economic development. Topics covered in the second half of this course include growth, the role of debt and foreign aid, and the reliance on natural resources.

While no businesses succeed based on their architecture or space design, many fail as a result of inattention to the power of spatial relationships. This course demonstrates through live case studies with managers and architects the value of strategic space planning and decision making in relation to business needs. The course presents conceptual frameworks for thinking about architecture, communication and organizations.

This course is offered during the Sloan Innovation Period (SIP), which is a one-week period at the MIT Sloan School of Management that occurs midway through each semester.

This course focuses on recent developments in contract theory. Topics include: advanced models of moral hazard, adverse selection, mechanism design and incomplete contracts with applications to theory of the firm, organizational design, and financial structure.

Professor Blanchard will discuss shocks, labor markets and unemployment, and dynamic stochastic general equilibrium models (DSGE models). Professor Lorenzoni will cover demand shocks, macroeconomic effects of news (with or without nominal rigidities), investment with credit constraints, and liquidity with its aggregate effects.

This course focuses on the specification and estimation of the linear regression model. The course departs from the standard Gauss-Markov assumptions to include heteroskedasticity, serial correlation, and errors in variables. Advanced topics include generalized least squares, instrumental variables, nonlinear regression, and limited dependent variable models. Economic applications are discussed throughout the course.

In this course, students develop and polish communication strategies and methods through discussion, examples, and practice with an emphasizes on writing and speaking skills necessary for effective leaders. The course includes several oral and written assignments which are integrated with other subjects, and with career development activities, when possible.

This course is part of the MBA core and is restricted to first-year Sloan graduate students. Find out more about the Sloan MBA core on OCW.

Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such data is often stored in data warehouses and data marts specifically intended for management decision support. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence.

This course will examine methods that have emerged from both fields and proven to be of value in recognizing patterns and making predictions from an applications perspective. We will survey applications and provide an opportunity for hands-on experimentation with algorithms for data mining using easy-to- use software and cases.

This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It 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, systems safety, change management, and the impact of globalization.

14.461 is an advanced course in macroeconomics that seeks to bring students to the research frontier. The course is divided into two sections. The first half is taught by Prof. Iván Werning and covers topics such as how to formulate and solve optimal problems. Students will study fiscal and monetary policy, among other issues. The second half, taught by Prof. George-Marios Angeletos, covers recent work on multiple equilibria, global games, and informational fictions.

This course surveys research which incorporates psychological evidence into economics. Topics include: prospect theory, biases in probabilistic judgment, self-control and mental accounting with implications for consumption and savings, fairness, altruism, and public goods contributions, financial market anomalies and theories, impact of markets, learning, and incentives, and memory, attention, categorization, and the thinking process.