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.
This course provides an integrative forum for operations and manufacturing students and is the focus for projects in leadership, service, and improvement. It covers a set of integrative manufacturing topics or issues such as leadership and related topics, and includes presentations by guest speakers such as senior level managers of manufacturing companies. The subject is largely managed by students. Primarily for LFM Fellows and Masters students interested in focusing in operations and manufacturing.
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.
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.
Firms must develop major innovations to prosper, but they don't know how to. However, recent research into the innovation process has made it possible to develop breakthroughs systematically. 15.356 How to Develop Breakthrough Products and Services explores several practical idea generation development methods. To convey the art required to implement each of these methodologies, experts are invited to present real cases to the class.
15.389A Global Entrepreneurship Lab: Asia-Pacific enables teams of students to work with the top management of global start-ups and gain experience in running, and consulting to, a new enterprise outside the United States. The focus is on start-ups operating in emerging markets throughout the world, with a special focus on the Asia-Pacific region. The course combines an internship in a growing firm with in-class discussions of the issues and policies that affect the climate for innovation and start-up success around the world.
15.389A is part of a two-section course and includes materials that cover entrepreneurship in the Asia-Pacific region. 15.389B Global Entrepreneurship Lab: Latin America, the Middle East, and Africa is also available on OpenCourseWare and covers topics pertinent to these additional regions.
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.
Information Technology I helps students understand technical concepts underlying current and future developments in information technology. There will be a special emphasis on networks and distributed computing. Students will also gain some hands-on exposure to powerful, high-level tools for making computers do amazing things, without the need for conventional programming languages. Since 15.564 is an introductory course, no knowledge of how computers work or are programmed is assumed.
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:
OCW has published multiple versions of this subject. 
