Courses tagged with "Journalism" (136)

Practical Leadership is an interactive seminar where students receive repeated coaching and real-time feedback on their own leadership capabilities from their peers and the instructor. The course is structured around a set of readings. However, the key component is each student's own self-assessment. These self-assessments are done by the students in the first week of the semester. The areas for improvement that the students identify are then targeted in the weekly role plays that are customized for each student in the class. The goal of the class is for each student to increase his or her own leadership abilities through an ongoing cycle of practice, feedback and reflection.

Cross Cultural Leadership is a collaborative research seminar that examines what constitutes "effective" leadership across cultures. It is collaborative because the students are expected to provide some of the content. The weekly readings target particular aspects of cultural differentiation. Working within those topics, students are asked to describe aspects of leadership in particular cultures based on their research and/or personal experiences. The goal of the course is to help prepare students for business assignments outside of their native countries.

Course deliverables include: active participation in the class, contribution of class content on a weekly basis and an end of course paper that explores some aspect of leadership across cultures.

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 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).

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.

15.763J focuses on decision making for system design, as it arises in manufacturing systems and supply chains. Students are exposed to frameworks and models for structuring the key issues and trade-offs. The class presents and discusses new opportunities, issues and concepts introduced by the internet and e-commerce. It also introduces various models, methods and software tools for logistics network design, capacity planning and flexibility, make-buy, and integration with product development. Industry applications and cases illustrate concepts and challenges. The class is recommended for anyone concentrating in Operations Management, and is a second half-term subject.

This class introduces scientific, economic, and ecological issues underlying the threat of global climate change, and the institutions engaged in negotiating an international response. It also develops an integrated approach to analysis of climate change processes, and assessment of proposed policy measures, drawing on research and model development within the MIT Joint Program on the Science and Policy of Global Change.

Competition in Telecommunications provides an introduction to the economics, business strategies, and technology of telecommunications markets. This includes markets for wireless communications, local and long-distance services, and customer equipment. The convergence of computers, cable TV and telecommunications and the competitive emergence of the Internet are covered in depth. A number of speakers from leading companies in the industry will give course lectures.

This class deals with the modeling and analysis of queueing systems, with applications in communications, manufacturing, computers, call centers, service industries and transportation. Topics include birth-death processes and simple Markovian queues, networks of queues and product form networks, single and multi-server queues, multi-class queueing networks, fluid models, adversarial queueing networks, heavy-traffic theory and diffusion approximations. The course will cover state of the art results which lead to research opportunities.

The strategic importance of information technology is now widely accepted. It has also become increasingly clear that the identification of strategic applications alone does not result in success for an organization. A careful coordination of strategic applications, information technologies, and organizational structures must be made to attain success. This course addresses strategic, technological, and organizational connectivity issues to support effective and meaningful integration of information and systems. This course is especially relevant to those who wish to effectively exploit information technology and create new business processes and opportunities.

One objective of 15.066J is to introduce modeling, optimization and simulation, as it applies to the study and analysis of manufacturing systems for decision support. The introduction of optimization models and algorithms provide a framework to think about a wide range of issues that arise in manufacturing systems. The second objective is to expose students to a wide range of applications for these methods and models, and to integrate this material with their introduction to operations management.

Product Design and Development is a project-based course that covers modern tools and methods for product design and development. The cornerstone is a project in which teams of management, engineering, and industrial design students conceive, design and prototype a physical product. Class sessions are conducted in workshop mode and employ cases and hands-on exercises to reinforce the key ideas. Topics include identifying customer needs, concept generation, product architecture, industrial design, and design-for-manufacturing.

This course introduces students to the theory, algorithms, and applications of optimization. The optimization methodologies include linear programming, network optimization, integer programming, and decision trees. Applications to logistics, manufacturing, transportation, marketing, project management, and finance. Includes a team project in which students select and solve a problem in practice.

Surveys social psychology and organization theory interpreted in the context of the managerial environment. Shares lectures with 15.301, with a separate recitation required. 15.301 is intended primarily for non-Sloan students, both graduate and undergraduate. Deals with a number of diverse subjects, including motivation and reward systems for engineers and scientists in industry; the aging of technical groups; the management of R&D matrix organizations; and the architecture of R&D laboratories and its effect on communication patterns in the organization.

15.301 is a core subject for students majoring in management science. A laboratory is a required element of the course for these students. It involves projects of an applied nature in behavioral science. Emphasizes use of behavioral science research methods to test hypotheses concerning organizational behavior. Instruction and practice in communication include report writing, team decision-making, and oral and visual presentation.

The course purpose is to provide the substance and skill necessary to make sound business decisions relating to information systems and to work with senior line managers in the resolution of issues and problems in this area. Categories of issues which will be addressed in the course include:

• How do IT and its various manifestations in business, such as the Internet, affect current and future COMPETITIVENESS? How do we align business strategy and plans with IT strategy and IT plans?
• How can we ENGAGE executives in learning and leading IT-related change?
• How do we IMPLEMENT new systems, CHANGE work behavior, MANAGE projects?
• How should we ORGANIZE and GOVERN IT in an organization?