The EMTM core includes ten (10) required business and management courses, plus the Emerging Technologies Seminar.
Introduces EMTM students to financial and managerial accounting, enabling them to understand, critique, and direct project evaluation. Financial accounting covers accounting concepts, basic accounting principles, and the structure of the three main financial statements, with detail on a few of the more important transactions. Managerial accounting includes basic cost concepts, product costing systems, and the use of managerial accounting data for decision-making and control.
Expands knowledge of the risk-return trade-off and its implications for capital budgeting, portfolio construction, valuation, and financial options. Covers the process of obtaining and allocating capital. Major topics include capital structure, cost of capital, tools for allocating capital (discounted cash flow, economic value-added), measurements of financial performance, and integrating financial and business strategy.
Decision Models addresses the needs of managers who may supervise analytics projects or interact with analytics teams. We describe the analytics process in its entirety. From developing good spreadsheet analysis habits, like programming error-free and transparent applications; to formulating business problems; to employing risk analysis methods in order to spot critical variables and hidden
interdependencies. This way, managers do not just help the project to move along, but also add value to the analytics process by helping to avoid dead ends, by correctly interpreting findings, and by understating decision model limitations.
Management of Technology
Examines the technical and managerial challenges of leading innovation in high-tech enterprises and industries. Particular consideration is given to the forces affecting the nature and rate of technological innovation and the managerial alternatives available to both established and entrepreneurial organizations. The course explores sources of innovation, including acquisitions and alliances, real options thinking for investing under uncertainty, managing new ventures and developing effective processes and organizational structures for driving sustainable results. The course follows a multi-instructor format and draws upon subject experts to provide depth in each topic as well as a course coordinator to support continuity across topics. There is a mixture of lectures, case studies and readings throughout the course. Analysis of a final case will be used as the primary basis for grading.
Introduces basic managerial concepts, methods and practices that are both used and useful to contemporary enterprises. First, students learn the basic analytics tools for applying managerial economics, including supply and demand, elasticity, production technology, costs, and the operation of competitive and monopoly markets. With this basic knowledge, students are prepared for more challenging managerial problems; for example, sophisticated pricing with market power such as price discrimination, bundling, two-part tariffs, and transfer pricing. The course also examines strategic actions and reactions in a game theory context, such as entry and pricing decisions. In addition, it covers expected utility, auctions, asymmetric information, and the issue of externalities.
Provides an introduction to marketing concepts, methods, and practices that are important to modern enterprises. As a discipline, marketing is responsible for facilitating the exchange process. This is accomplished through an understanding of the perceptions, preferences, and behaviors exhibited by customers and consumers. That understanding is translated into a complete offering (product/service/features, price, advertising/promotion, and distribution system) consistent with those customer needs, the firm's capabilities, and the competitive environment.
In most industries, some firms are growing and prospering while others are shrinking or failing. Effective operations management is often a key ingredient of success. This course emphasizes processes and the management of these processes to improve quality. The first half of the course concentrates on process analysis: learning how to measure key process parameters, like capacity and lead time, and how to improve a process through approaches such as finding and removing bottlenecks or instituting better division and allocation of work. The second half focuses on variability and its effect on quality and process improvement efforts: examining the foundations of queuing theory, simulation as an analysis tool, and various quality management and control principles.
Organizational Behavior & Design
Promotes understanding of the basic issues involved in designing and managing organizations that motivate people to perform effectively. Examines theories of work motivation especially for technical and professional personnel; methods of managerial influence and leadership styles; classic principles and emerging dynamic guidelines for designing organizational structures; and approaches to organizational change.
This course provides a concise picture of the fundamentals of the mathematical theory of statistics and examples of how these ideas and results are applied in engineering practice. The focus of the course is on regression analysis and the use of modern software to solve statistics problems.
Addresses managerial decision-making at both the formulation and implementation phases of strategic planning. Integrates concepts from both traditional and non-traditional business disciplines. Since managers usually must make strategic decisions without possessing all the relevant information, the focus is on decision-making under uncertainty.
A series of 90-minute seminars scheduled throughout the first year presents emerging technologies and their potential applications, including the opportunities and challenges of managing these technologies. An expert specific to each technology covers that technology's underlying physical, chemical and mathematical principles, potential commercial applications, competing technologies, and limitations. Highlighted technologies include nanotechnology, quantum computing and information systems, technologies used in the pharmaceutical industry and health-care, and polymers for biomedical and information applications. (Required for first-year students as a part of the EMTM core; open to all EMTM students.)