Courses tagged with "Journalism" (160)

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).

Traditional finance and other business courses analyze a broad spectrum of factors affecting business decision-making but typically give little systematic consideration to the role of taxes. In contrast, traditional tax accounting courses concentrate on administrative issues while ignoring the richness of the context in which tax factors operate. The objective of the course is to bridge this gap by providing a framework for recognizing tax planning opportunities and applying basic principles of tax strategy.

The Team Project has the goals of (1) developing teamwork and leadership skills and (2) learning from the analysis of a change initiative in a real-world company using concepts from other core courses. This class has no regular class schedule or weekly readings. Almost everything is oriented around your team and your project, with only a few deadlines. Each team is responsible for analyzing a recent, ongoing, or anticipated initiative at a real company. Examples might be a strategic reorientation, organizational restructuring, introduction of a new technology, or worker participation program.

This course is closely integrated with other MBA core classes: readings are assigned through Organizational Processes (15.311) and oral presentations are given in Communication for Managers (15.280).

This course provides a series of strategic frameworks for managing high-technology businesses. The emphasis throughout the course is on the development and application of conceptual models which clarify the interactions between competition, patterns of technological and market change, and the structure and development of organizational capabilities.

This is not a course in how to manage product or process development. The main focus is on the acquisition of a set of powerful analytical tools which are critical for the development of a technology strategy as an integral part of business strategy. These tools can provide the framework for deciding which technologies to invest in, how to structure those investments and how to anticipate and respond to the behavior of competitors, suppliers, and customers. The course should be of particular interest to those interested in managing a business for which technology is likely to play a major role, and to those interested in consulting or venture capital.

This course provides you with a framework to understand the structure and dynamics of high-tech businesses, together with an approach for their effective strategic management. It is focused on domains in which systems are important, because either or both products are parts of larger and more complex systems, or they are comprised of systems. The domains covered include computing, communications (in particular the mobile and IP domains), consumer electronics, industrial networking, automotive, aerospace and medical devices. The course will be of particular interest to those interested in managing a business in which technology will likely play a major role, and also to those interested in investing in or providing counsel to these businesses.

The emphasis throughout is on the development and application of ways of thinking or mental models that bring clarity to the complex co-evolution of technological innovation, the demand opportunity, systems architecture, business ecosystems, and decision-making and execution within the business.

15.567 The Economics of Information provides an analysis of the underlying economics of information with management implications. It studies the effects of digitization and technology on industry, organizational structure, and business strategy, and examines pricing, bundling, and versioning of digital goods, including music, video, software, and communication services. In addition, the course considers the managerial implications of social networks, search, targeted advertising, personalization, privacy, network externalities, open source, and alliances.

Much of 15.617 focuses on mergers and acquisitions (M&A), and the law-sensitive aspects of financial services and financial markets. The course is designed to be an introduction to business law that covers the fundamentals, including contracts, liability, regulation, employment, and corporations. This class also provides an in-depth treatment of the law of finance.

This course is designed to give students an introduction to the law-sensitive aspects of Mergers & Acquisitions (M&A). In Module I, we examine the legal implications of key roles and deal structures, and walk through some of the issues that would typically arise in a simple and friendly transaction. We also give a class to the legal issues arising in LBOs and the legal concerns of financial sponsors more generally, and another class to employment-related issues, including those relating to managers facing unsettled circumstances.

In Module II, we look at a variety of complications, including those that arise in the friendly or unfriendly purchase of a publicly-held company; deals involving distressed and hi-tech companies; antitrust concerns; allegations of misconduct by management or board members; and deals involving non-U.S. companies.

This seminar provides an introduction to scholarship in a growing research community: the sociologists and sociologically-inclined organization theorists who study issues that relate, at least in a broad sense, to the interdisciplinary field of inquiry that is known as "strategy" or "strategic management" research. The course is not designed to survey the field of strategy. Rather, the focus is on getting a closer understanding of the recent work by sociologists and sociologically-oriented organization theorists that investigates central questions in strategic management. In particular, we will be concerned with identifying and assessing sociological work that aims to shed light on: (a) relative firm performance; (b) the nature of competition and market interaction; (c) organizational capabilities; (d) the beginnings of industries and firms; (e) the diffusion or transfer of ideas and practices across firms; and (f) strategic change.

This subject is a seminar-style course aimed at anyone who is interested in founding a software company or working for a software company or company that uses software technology extensively as a senior manager, developer, or product/program manager. It is also appropriate for people interested in the industry or in working as an industry analyst. Many of the issues we discuss are highly relevant for companies whose businesses are heavily dependent on software, such as in e-business or financial services, or embedded software for industrial applications.

The doctoral seminar 15.764 focuses on theoretical work for studying operations planning and control problems. This term's special topic, "Customer-Driven Operations," considers how a number of companies have succeeded in focusing their operation systems on the customer. The class reviews the quantitative models and theoretical tools underlying some of the customer-driven operational practices of these cutting-edge companies. Students will read and present research papers on topics such as distribution systems, short life-cycle product management, and forecast evolution models.

This MIT OpenCourseWare site is dedicated to the memory of Bhuwan Singh, a member of the class.

15.975 U-Lab: Leading Profound Innovation for a More Sustainable World is an interactive and experiential class about leading profound innovation for pioneering a more sustainable economy and society. The class is organized around personal reflection practices, relational practices, and societal practices. It focuses on the intertwined relationship between the evolution of capitalism, multi-stakeholder innovation, and presencing.

This subject discusses the broader trends in the labor market, how urban labor markets function, public and private training policy, other labor market programs, the link between labor market policy and economic development, and the organization of work within firms.

This seminar will cover the multi-disciplinary theoretical and empirical foundations of research on work, employment, labor markets, and industrial relations. We begin by tracing the historical development of theory and research in the field, paying special attention to how the normative premises, concepts, and methodological traditions of industrial relations compare to those of other disciplines that contribute to the study of work and employment relations. Then we will review a number of current theoretical and policy debates shaping the field. This will be followed by a series of modules introducing different disciplinary perspectives used to study work and employment issues today. Emphasis will be given to recent research from different industries that illustrate the mix of methods—field work, qualitative and quantitative data collection and analysis, etc.—we encourage in this field of study.

Diversity begets creativity—in this seminar we tap the amazing power of swarm creativity on the Web by studying and working together as Collaborative Innovation Networks (COINs). As interdisciplinary teams of MIT management, SCAD design, University of Cologne informatics, and Aalto University software engineering students we will explore how to discover latest trends on the Web, and how to make them succeed in online social networks. We study a wide range of methods for predictive analytics (coolhunting) and online social marketing (coolfarming), mostly based on social network analysis and the emerging science of collaboration. Students will also learn to use our own unique MIT-developed Condor tool for Web mining, social network analysis, and trend prediction.