This class is the second half of an intensive survey of cognitive science for first-year graduate students. Topics include visual perception, language, memory, cognitive architecture, learning, reasoning, decision-making, and cognitive development. Topics covered are from behavioral, computational, and neural perspectives.

This course analyzes the development of the United States Congress by focusing on the competing theoretical lenses through which legislatures have been studied. In particular, it compares sociological and economic models of legislative behavior, applying those models to floor decision-making, committee behavior, political parties, relations with other branches of the Federal government, and elections. Graduate students are expected to pursue the subject in greater depth through reading and individual research.

SLaM (Systems Leadership and Management) Praxis is a course is designed to introduce students to the dynamics of strategic decision making in corporate boardrooms through team exercises, simulations, and role playing. The case studies and team exercises will introduce students to strategy choices in the high tech sector, but these learnings are just as valid in other industries. We will also have invited guest speakers from the industry who have lived through difficult corporate situations and can provide insights into the cases discussed in class.

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.

Over the last 40 years, new managerial technologies in Western democratic societies have emerged to dominate our perceived and lived reality. Demands for autonomy and a creative life, which have been the touchstones for artistic endeavors, have been readily absorbed into management philosophies, becoming normative values for self-management and entrepreneurial innovation. Is this art's triumph or demise? Can we imagine other worlds beyond our managed reality and propose forms of living not yet captured by the rationality of network capitalism? We will explore the "creative" figure and how it can shape renewed critical expressions in fields such as technology, design, science, philosophy, etc.

Cette ressource représente le processus de gestion émotionnelle d'une patiente, Marilou Bourque, selon l'approche de patient-partenaire qui valorise les savoirs expérientiels des patients.

Follow the steps below to choose the most appropriate software to meet your needs:
Identify what you want to achieve (discover data, analyze data, write a paper, etc.)
Identify the necessary software features for your project (i.e. functional requirements)
Identify logistics features of the software that are required, such as licensing, cost, time constraints, user expertise, etc. (i.e. non-functional requirements)
Determine what software has been used by others with similar requirements
Ask around (yes, really); find out what people like
Find out what software your institution has licensed
Search the web (e.g. directory services, open source sites, forums)
Follow-up with independent assessment
Generate a list of software candidates
Evaluate the list; iterate back to Step 1 as needed
As feasible, try a few software candidates that seem promising

A visualization exercise to help you imagine who you want to be in the future.

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 is a course about how research knowledge and other types of knowledge come to be actionable and influential in the world — or not. The course explores ways to make research knowledge more accessible, credible, and useful in the realm of public policy and practice, a project in which the course faculty collectively bring decades of professional experience, in both academic and non-academic roles.
The course addresses the politics of the policymaking process, the power of framing and agenda-setting, fads and paradigms in the design professions and society in general, how knowledge diffuses along knowledge and influence networks, and how varied types of knowledge (rational, craft, other) and deliberation shape decision-making and action. The course engages a number of guests to present case studies of research in use (and abuse) in varied fields, highlighting rich areas for potential research contributions, along with major conflicts in public values, political interests, ethical obligations, and more. The resulting dilemmas confront scholars, policymakers, practitioners, and others as they look to research — sometimes — for useful guidance, influence, or both.

This course investigates the psychosocial aspects of vision loss. Coping techniques and issues of self-esteem are explored, along with principles of self-determination. Other topics include the psychosocial aspects of personal life management such as orientation and mobility, use of volunteers, sexuality, and the Americans with Disabilities Act. Psychosocial issues specific to people from diverse cultures are also addressed.

Learn how instructional designers use data to inform the creation of a Learning Persona. Learning Personas help determine the needs of the training and help ...

11.941 and 11.942 make up a one-year seminar. The goal of this seminar is to explore the role of science and scientists in ecosystems and natural resources management focusing on joint fact finding as a new approach to environmental policy-making. Increasingly scientists and science organizations are confronting a conundrum: Why is science often ignored in important societal decisions even as the call for decisions based on sound science escalates? One reason is that decision-making is often driven by a variety of nonscientific, adversarial, and stakeholder dynamics. Thus, even though science helps inform choices, it is only one of many values and interests considered by each stakeholder. In response to this emerging challenge, scientists, and science agencies such as the U.S. Geological Survey, are embarking upon research that explores the problems of incorporating science into value-laden societal decisions. This research includes designing experiments that will assess the appropriateness of using the new and emerging approach of Joint Fact Finding to address some of the Nation's most contentious environmental conflicts. In the first few sessions we will examine the problems of using science in environmental disputes. In following sessions, students will analyze and discuss cases that involved or that should have involved Joint Fact Finding of various kinds.

EME 801 provides a broad introduction to global markets for crude oil and refined petroleum products, natural gas, and electric power. A major goal of the course is to help students understand how market design, market institutions, and regulatory structures affect firm-level decision-making in the energy industries and ultimately, how these decisions affect the functioning of energy markets and the prospects for alternative technologies.

This module explores the implementation, process, and outcomes of the Family Unity Meeting in San Diego County, which provides a case study for Family Group Decision Making. Module I covers factors that distinguish between families that accept or reject an invitation to a meeting, the meeting process, outcomes, family perspectives on family change, the use of social support, and family satisfaction with services. Module II includes a synopsis of Family Group Conferencing; legislation supportive of FGC; the history, definition, and philosophy of FGC; models of FGC; process of FGC; facilitator's role; trends and evaluation FGC; classroom exercises; videotape suggestions; and a bibliography. Module III is a proposed semester course syllabus that focuses on FGC and strength-based practice. Module IV is a handbook designed for field instructors and students who are engaged in FGC as part of the student's field practicum. (233 pages) Jones, L., & Daly, D. (2004).

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Understanding how human decision-making and preferences manifest before conscious thought has long challenged researchers focused on cognitive and information science. Now, the field of neuromarketing – a discipline that looks at the neurocognitive underpinnings of consumer behavior – is starting to uncover, in amazing detail, exactly how the brain goes about recognizing a brand. An international research team based in Auckland University of Technology and Nottingham Trent University has devised a new machine learning method that tracks brain responses to logos on the millisecond timescale…even before conscious thoughts are formed. Their results shed light on the early spikes in brain activity that are tied to brand awareness. The method utilizes one of the most promising recent trends in artificial intelligence research: spiking neural networks. These networks use algorithms loosely modeled on the behavior of the human brain to recognize patterns in sets of streaming data..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Lecture notes for a lesson at MIT on game theoretical approaches to decision making, including decision making with uncertain information and analysis of risk. The lesson primarily covers game theory and not economic applications.

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.

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).

This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course examines games and applications in areas such as dynamic resource allocation, finance and queueing networks.