This course examines civic media in comparative, transnational and historical perspectives through the use of various theoretical tools, research approaches, and project design methods.

Introduces students to the theory, tools, and techniques of engineering design and creative problem-solving, as well as design issues and practices in civil engineering. Includes several design cases, with an emphasis on built facilities (e.g., buildings, bridges and roads). Project design explicitly concerns technical approaches as well as consideration of the existing built environment, natural environment, economic and social factors, and expected life span. A large design case is introduced which is used in the subsequent specialty area design subjects (1.031, 1.041, 1.051) and the capstone design subject (1.013).

In this sophomore design course, you will be challenged with three design tasks: a first concerning water resources/treatment, a second concerning structural design, and a third focusing on the conceptual (re)design of a large system, Boston's Back Bay. The first two tasks require the design, fabrication and testing of hardware. Several laboratory experiments will be carried out and lectures will be presented to introduce students to the conceptual and experimental basis for design in both domains.

This course examines signals, systems and inference as unifying themes in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; group delay; state feedback and observers; probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization; least-mean square error estimation; Wiener filtering; hypothesis testing; detection; matched filters.

Introduces the basic computational methods used to understand the cell on a molecular level. Covers sequence alignment algorithms: dynamic programming, hashing, suffix trees, Gibbs sampling. Focuses on computational approaches to: genetic and physical mapping; genome sequencing, assembly, and annotation; RNA expression and secondary structure; protein structure and folding; and molecular interactions and dynamics.

This course gives a mathematical introduction to neural coding and dynamics. Topics include convolution, correlation, linear systems, game theory, signal detection theory, probability theory, information theory, and reinforcement learning. Applications to neural coding, focusing on the visual system are covered, as well as, Hodgkin-Huxley and other related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. Visit the Seung Lab Web site.

This course presents the fundamentals of object-oriented software design and development, computational methods and sensing for engineering, and scientific and managerial applications. It cover topics, including design of classes, inheritance, graphical user interfaces, numerical methods, streams, threads, sensors, and data structures. Students use Java programming language to complete weekly software assignments. How is 1.00 different from other intro programming courses offered at MIT? 1.00 is a first course in programming. It assumes no prior experience, and it focuses on the use of computation to solve problems in engineering, science and management. The audience for 1.00 is non-computer science majors. 1.00 does not focus on writing compilers or parsers or computing tools where the computer is the system; it focuses on engineering problems where the computer is part of the system, or is used to model a physical or logical system. 1.00 teaches the Java programming language, and it focuses on the design and development of object-oriented software for technical problems. 1.00 is taught in an active learning style. Lecture segments alternating with laboratory exercises are used in every class to allow students to put concepts into practice immediately; this teaching style generates questions and feedback, and allows the teaching staff and students to interact when concepts are first introduced to ensure that core ideas are understood. Like many MIT classes, 1.00 has weekly assignments, which are programs based on actual engineering, science or management applications. The weekly assignments build on the class material from the previous week, and require students to put the concepts taught in the small in-class labs into a larger program that uses multiple elements of Java together.

Second of two modules facilitating a basic understanding of computing in planning and public management. Students develop problem-solving skills using computer-based tools for ``what-if'' analyses. Emphasis on spatial analysis using geographic information systems and database query tools.

This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software. Acknowledgements The course materials were developed jointly by Prof. Stephen Boyd (Stanford), who was a visiting professor at MIT when this course was taught, and Prof. Lieven Vanderberghe (UCLA).

This course is an introduction to copyright law and American law in general. Topics covered include: structure of federal law; basics of legal research; legal citations; how to use LexisNexisĺ¨; the 1976 Copyright Act; copyright as applied to music, computers, broadcasting, and education; fair use; Napsterĺ¨, Groksterĺ¨, and Peer-to-Peer file-sharing; Library Access to Music Project; The 1998 Digital Millennium Copyright Act; DVDs and encryption; software licensing; the GNUĺ¨ General Public License and free software.

" This course will introduce students to architectural design and computation through the use of computer modeling, rendering and digital fabrication. The course focuses on teaching architectural design with CAD drawing, 3-D modeling, rendering and rapid prototyping. Students will be required to build computer models that will lead to a full package of architectural explorations with computers. Each semester we will explore the design process of a particular building type and building material. The course also investigates a few design processes of selected architects. The course is critical of design principles and building production methods. Student Assignments and Labs are graded based on the quality of design, representation and constructability. Great design input is always encouraged."

Explores, through exercises, lectures, and discussion, the nature and exercise of architectural intelligence; investigates design as processes located in individuals and in groups; seeks to understand design as argument, as claims for which reasons can be adduced, as logic in which there are explicit sets of elements and relations among them, and as experiment in which design and its results are themselves used to inform future designs or simply to inquire. Subject aims to open avenues for further research.

This course is intended for students pursuing research projects at the Media Laboratory. Topics include Media Lab research areas, documenting research progress, ethical issues in research; patents, copyrights, intellectual property, and giving oral, written, and online presentations of results. A final oral presentation is required. Enrollment limited with preference given to students in the Media Arts and Sciences freshman program.

An introduction to several fundamental ideas in electrical engineering and computer science, using digital communication systems as the vehicle. The three parts of the course - bits, signals, and packets - cover three corresponding layers of abstraction that form the basis of communication systems like the Internet. The course teaches ideas that are useful in other parts of EECS: abstraction, probabilistic analysis, superposition, time and frequency-domain representations, system design principles and trade-offs, and centralized and distributed algorithms. The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real-world communication channels.

An introductory course on teaching and learning science and mathematics in a variety of K-12 settings. Topics include education and media, education reform, the history of education, simulations, games, and the digital divide.

This course is an introductory subject in the field of electric power systems and electrical to mechanical energy conversion. Electric power has become increasingly important as a way of transmitting and transforming energy in industrial, military and transportation uses. Electric power systems are also at the heart of alternative energy systems, including wind and solar electric, geothermal and small scale hydroelectric generation.

The course is designed to provide a practical - hands on - introduction to electronics with a focus on measurement and signals. The prerequisites are courses in differential equations, as well as electricity and magnetism. No prior experience with electronics is necessary. The course will integrate demonstrations and laboratory examples with lectures on the foundations. Throughout the course we will use modern "virtual instruments" as test-beds for understanding electronics. The aim of the course is to provide students with the practical knowledge necessary to work in a modern science or engineering setting.

Students in ESD.00 work on projects to address large, complex and seemingly intractable real-world problems, such as energy supply, environmental issues, health care delivery, and critical infrastructure (e.g., telecommunications, water supply, and transportation). The course introduces interdisciplinary approaches - rooted in engineering, management, and the social sciences - to considering these critical contemporary issues. Small, faculty-led teams select an engineering systems term project to illustrate one or more of these approaches.

Focusing primarily on the period since 1500, explores the influence of climate, topography, plants, animals, and microorganisms on human history and the reciprocal influence of people on the environment. Topics include the European encounter with the Americas, the impact of modern technology, and the historical roots of the current environmental crisis.

This course is the first part of a modular sequence of increasingly sophisticated (and challenging) laboratory courses required of all Chemistry majors: 5.35 Introduction to Experimental Chemistry, 5.36 Biochemistry and Organic Laboratory, 5.37 Organic and Inorganic Laboratory, and 5.38 Physical Chemistry Laboratory. This course provides students with a survey of spectroscopy, and introduces synthesis of coordination compounds and kinetics. This class is part of the new laboratory curriculum in the MIT Department of Chemistry. Undergraduate Research-Inspired Experimental Chemistry Alternatives (URIECA) introduces students to cutting edge research topics in a modular format.   AcknowledgementsProfessor Nelson and Dr. Twardowski would like to acknowledge the contributions of MIT Professor Timothy Swager to the development of this course.