Courses tagged with "Information environments" (1105)

This course is a series of presentations on an advanced topic in the field of geology by the visiting William Otis Crosby lecturer. The Crosby lectureship is awarded to a distinguished international scientist each year to introduce new scientific perspectives to the MIT community. This year's Crosby lecturer is Prof. Kevin Burke. His lecture is about African history. The basic theme is the distinctiveness of the African continent in both the way that it originated 600 million years ago and in the way that it has developed ever since.

This course enhances cross-cultural understanding through the discussion of practical, ethical, and epistemological issues in conducting social science and applied research in foreign countries or unfamiliar communities. It includes a research practicum to help students develop interviewing, participant-observation, and other qualitative research skills, as well as critical discussion of case studies. The course is open to all interested students, but intended particularly for those planning to undertake exploratory research or applied work abroad. Students taking the graduate version complete additional assignments.

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 features a rigorous introduction to modern cryptography, with an emphasis on the fundamental cryptographic primitives of public-key encryption, digital signatures, pseudo-random number generation, and basic protocols and their computational complexity requirements.

This course covers the following topics: X-ray diffraction: symmetry, space groups, geometry of diffraction, structure factors, phase problem, direct methods, Patterson methods, electron density maps, structure refinement, how to grow good crystals, powder methods, limits of X-ray diffraction methods, and structure data bases.

This course in crystal structure refinement examines the practical aspects of crystal structure determination from data collection strategies to data reduction and basic and advanced refinement problems of organic and inorganic molecules.

This class addresses important, current debates in media with in-depth discussion of popular perceptions and policy implications. Students will engage in the critical study of the economic, political, social, and cultural significance of media, and learn to identify, analyze, and understand the complex relations among media texts, policies, institutions, industries, and infrastructures. This class offers the opportunity to discuss, in stimulating and challenging ways, topics such as ideology, propaganda, net neutrality, big data, digital hacktivism, digital rebellion, media violence, gamification, collective intelligence, participatory culture, intellectual property, artificial intelligence, etc., from historical, transcultural, and multiple methodological perspectives.

This course focuses on cyberspace and its implications for private and public, sub-national, national, and international actors and entities.

This introductory course will provide you with a multidisciplinary approach to managing waste in low- and middle-income countries, with strategies that diminish greenhouse gas emissions and provide enterprise opportunities for marginalized populations. You will focus on understanding some of the multiple dimensions of waste generation and management. Topics are presented in real contexts through case studies, field visits, civic engagement and research, and include consumer culture, waste streams, waste management, entrepreneurship and innovation on waste, technology evaluation, downcycling / upcycling, Life Cycle Analysis and waste assessment. Labs include building low-cost, small scale technology, field trips to waste-related institutions and businesses, art workshops and e-waste scrapping taught by practitioners, artists and waste enthusiasts.

6.263J / 16.37J focuses on the fundamentals of data communication networks. One goal is to give some insight into the rationale of why networks are structured the way they are today and to understand the issues facing the designers of next-generation data networks. Much of the course focuses on network algorithms and their performance. Students are expected to have a strong mathematical background and an understanding of probability theory. Topics discussed include: layered network architecture, Link Layer protocols, high-speed packet switching, queueing theory, Local Area Networks, and Wide Area Networking issues, including routing and flow control.

Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such data is often stored in data warehouses and data marts specifically intended for management decision support. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence.

This course will examine methods that have emerged from both fields and proven to be of value in recognizing patterns and making predictions from an applications perspective. We will survey applications and provide an opportunity for hands-on experimentation with algorithms for data mining using easy-to- use software and cases.

This course is designed to introduce first-year Sloan MBA students to the fundamental techniques of using data. In particular, the course focuses on various ways of modeling, or thinking structurally about decision problems in order to make informed management decisions.

This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions. It is designed for students who have taken 6.033 (or equivalent); no prior database experience is assumed, though students who have taken an undergraduate course in databases are encouraged to attend.

This course addresses information technology fundamentals, including project management and software processes, data modeling, UML, relational databases and SQL. Topics covered include internet technologies, such as XML, web services, and service-oriented architectures. This course provides an introduction to security and presents the fundamentals of telecommunications and includes a project that involves requirements / design, data model, database implementation, website, security and data network. No prior programming experience required.

This course explores natural and electric lighting that integrates occupant comfort, energy efficiency and daylight availability in an architectural context. Students are asked to evaluate daylighting in real space and simulations, and also high dynamic range photography and physical model building.

Water supply is a problem of worldwide concern: more than 1 billion people do not have reliable access to clean drinking water. Water is a particular problem for the developing world, but scarcity also impacts industrial societies. Water purification and desalination technology can be used to convert brackish ground water or seawater into drinking water. The challenge is to do so sustainably, with minimum cost and energy consumption, and with appropriately accessible technologies.

This subject will survey the state-of-the-art in water purification by desalination and filtration. Fundamental thermodynamic and transport processes which govern the creation of fresh water from seawater and brackish ground water will be developed. The technologies of existing desalination systems will be discussed, and factors which limit the performance or the affordability of these systems will be highlighted. Energy efficiency will be a focus. Nanofiltration and emerging technologies for desalination will be considered. A student project in desalination will involve designing a well-water purification system for a village in Haiti.

This course explores the reciprocal relationships among design, science, and technology by covering a wide range of topics including industrial design, architecture, visualization and perception, design computation, material ecology, and environmental design and sustainability. Students will examine how transformations in science and technology have influenced design thinking and vice versa, as well as develop methodologies for design research and collaborate on design solutions to interdisciplinary problems.

6.777J / 2.372J is an introduction to microsystem design. Topics covered include: material properties, microfabrication technologies, structural behavior, sensing methods, fluid flow, microscale transport, noise, and amplifiers feedback systems. Student teams design microsystems (sensors, actuators, and sensing/control systems) of a variety of types, (e.g., optical MEMS, bioMEMS, inertial sensors) to meet a set of performance specifications (e.g., sensitivity, signal-to-noise) using a realistic microfabrication process. There is an emphasis on modeling and simulation in the design process. Prior fabrication experience is desirable. The course is worth 4 Engineering Design Points.

The course considers the growing popularity of sustainability and its implications for the practice of engineering, particularly for the built environment. Two particular methodologies are featured: life cycle assessment (LCA) and Leadership in Energy and Environmental Design (LEED). The fundamentals of each approach will be presented. Specific topics covered include water and wastewater management, energy use, material selection, and construction.

This design course targets the solution of clinical problems by use of implants and other medical devices. Topics include the systematic use of cell-matrix control volumes; the role of stress analysis in the design process; anatomic fit, shape and size of implants; selection of biomaterials; instrumentation for surgical implantation procedures; preclinical testing for safety and efficacy, including risk/benefit ratio assessment evaluation of clinical performance and design of clinical trials. Student project materials are drawn from orthopedic devices, soft tissue implants, artificial organs, and dental implants.