Courses tagged with "Information environments" (1105)

Today, computer-based simulations are becoming increasingly popular, especially when daylighting and energy conservation are amongst the key goals for a project. This two-week workshop will expose participants to the current daylighting simulation models and beyond, by introducing realistic and dynamic assessment methods through hands-on exercises and application to a design project. Open to students and practitioners.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

This class examines the relationship between the study of natural history, both domestic and exotic, by Europeans and Americans, and exploration and exploitation of the natural world, focusing on the eighteenth and nineteenth centuries.

This graduate level course presents theories, methodologies, and applications of seismic imaging for solving the shallow near-surface (0 - 500 m) effects on the seismic data processing for oil and gas exploration on land. It introduces both conventional and advanced imaging technologies that have been developed in academia and the seismic industry.

Negotiation and Conflict Management presents negotiation theory – strategies and styles – within an employment context. 15.667 meets only eleven times, with a different topic each week, which is why students should commit to attending all classes. In addition to the theory and exercises presented in class, students practice negotiating with role-playing simulations that cover a range of topics. Students also learn how to negotiate in difficult situations, which include abrasiveness, racism, sexism, whistle-blowing, and emergencies. The course covers conflict management as a first party and as a third party: third-party skills include helping others deal directly with their conflicts, mediation, investigation, arbitration, and helping the system change as a result of a dispute.

Learning and grading in 15.667 is based on: readings, simulations and class discussions, four self-assessments, your analysis of the negotiations of others, writing each week in your journal, and writing three Little Papers.

This course investigates social conflict and distributional disputes in the public sector. While theoretical aspects of conflict are considered, the focus of the class is on the practice of dispute resolution. Comparisons between unassisted and assisted negotiation are reviewed along with the techniques of facilitation and mediation.

6.857 Network and Computer Security is an upper-level undergraduate, first-year graduate course on network and computer security. It fits within the Computer Systems and Architecture Engineering concentration.

This course focuses on the social and cultural aspects of networked life through internet-related technologies (including computers, mobile devices, entertainment technologies, and emerging media forms).

15.082J/6.855J/ESD.78J is a graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, and finance, as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem. We will also consider other extensions of network flow problems.

This course provides a deep understanding of engineering systems at a level intended for research on complex engineering systems. It provides a review and extension of what is known about system architecture and complexity from a theoretical point of view while examining the origins of and recent developments in the field. The class considers how and where the theory has been applied, and uses key analytical methods proposed. Students examine the level of observational (qualitative and quantitative) understanding necessary for successful use of the theoretical framework for a specific engineering system. Case studies apply the theory and principles to engineering systems.

This seminar is a space for collaborative inquiry into the relationships between social movements and the media. We'll review these relationships through the lens of social movement theory, and function as a workshop to develop student projects. Seminar participants will work together to explore frameworks, methods, and tools for understanding networked social movements in the digital media ecology. We will engage with social movement studies as a body of theoretical and empirical work, and learn about key concepts including: resource mobilization; political process; framing; New Social Movements; collective identity; tactical media; protest cycles; movement structure; and more. We'll explore methods of social movement investigation, examine new data sources and tools for movement analysis, and grapple with recent innovations in social movement theory and research. Assignments include short blog posts, a book review, co-facilitation of a seminar discussion, and a final research project focused on social movement media practices in comparative perspective.

The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory. It starts with a review of classical statistical techniques, including Regularization Theory in RKHS for multivariate function approximation from sparse data. Next, VC theory is discussed in detail and used to justify classification and regression techniques such as Regularization Networks and Support Vector Machines. Selected topics such as boosting, feature selection and multiclass classification will complete the theory part of the course. During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction. We will briefly discuss implications of learning theories for how the brain may learn from experience, focusing on the neurobiology of object recognition. We plan to emphasize hands-on applications and exercises, paralleling the rapidly increasing practical uses of the techniques described in the subject.

Networks are a ubiquitous way to represent complex systems, including those in the social and economic sciences. The goal of the course is to equip students with conceptual tools that can help them understand complex systems that emerge in both nature and social systems. This is a course intended for a general audience and will discuss applications of networks and complexity to diverse systems, including epidemic spreading, social networks and the evolution of economic development.

This course focuses on neural structures and mechanisms mediating the detection, localization and recognition of sounds. Discussions cover how acoustic signals are coded by auditory neurons, the impact of these codes on behavioral performance, and the circuitry and cellular mechanisms underlying signal transformations. Topics include temporal coding, neural maps and feature detectors, learning and plasticity, and feedback control. General principles are conveyed by theme discussions of auditory masking, sound localization, musical pitch, speech coding, and cochlear implants.

Roles of neural plasticity in learning and memory and in development of invertebrates and mammals. An in-depth critical analysis of current literature of molecular, cellular, genetic, electrophysiological, and behavioral studies. Discussion of original papers supplemented by introductory lectures.

Lectures and discussions in this course cover the clinical, behavioral, and molecular aspects of the brain aging processes in humans. Topics include the loss of memory and other cognitive abilities in normal aging, as well as neurodegenerative conditions such as Parkinson's and Alzheimer's diseases. Discussions based on readings taken from primary literature explore the current research in this field.

This course, as a part of MIT's Center for Neurobiological Engineering curriculum, explores cutting-edge neurotechnology that is essential for advances in all aspects of neuroscience, including improvements in existing methods as well as the development, testing and discussion of completely new paradigms. Readings and in-class sessions cover the fields of electrophysiology, light microscopy, cellular engineering, optogenetics, electron microscopy, MRI / fMRI, and MEG / EEG. The course is designed with lectures that cover the background, context, and theoretical descriptions of neurotechnologies, and labs, which provide firsthand demonstrations as well as in situ lab tours.

This course is intended to introduce the student to the concepts and methods of transport theory needed in neutron science applications. This course is a foundational study of the effects of multiple interactions on neutron distributions and their applications to problems across the Nuclear Engineering department. Stochastic and deterministic simulation techniques will be introduced to the students.

This course focuses on recent developments in econometrics, especially structural estimation. The topics include nonseparable models, models of imperfect competition, auction models, duration models, and nonlinear panel data. Results are illustrated with economic applications.

This course covers the process of identifying and quantifying market opportunities, then conceptualizing, planning, and starting a new, technology-based enterprise. Students develop detailed business plans for a startup. It is intended for students who want to start their own business, further develop an existing business, be a member of a management team in a new enterprise, or better understand the entrepreneur and the entrepreneurial process.
 

This course is designed for graduate students with an interest in using primary research literature to discuss and learn about current research around non-conventional light stable isotope geochemistry.