Introduces mechanical behavior of engineering materials, and the use of materials in mechanical design. Emphasizes the fundamentals of mechanical behavior of materials, as well as design with materials. Major topics: elasticity, plasticity, limit analysis, fatigue, fracture, and composites. Materials selection. Laboratory experiments involving projects related to materials in mechanical design. This course provides Mechanical Engineering students with an awareness of various responses exhibited by solid engineering materials when subjected to mechanical and thermal loadings; an introduction to the physical mechanisms associated with design-limiting behavior of engineering materials, especially stiffness, strength, toughness, and durability; an understanding of basic mechanical properties of engineering materials, testing procedures used to quantify these properties, and ways in which these properties characterize material response; quantitative skills to deal with materials-limiting problems in engineering design; and a basis for materials selection in mechanical design.

This course addresses the scientific basis for the development of new drugs. The first half of the semester begins with an overview of the drug discovery process, followed by fundamental principles of pharmacokinetics, pharmacodynamics, metabolism, and the mechanisms by which drugs cause therapeutic and toxic responses. The second half of the semester applies those principles to case studies and literature discussions of current problems with specific drugs, drug classes, and therapeutic targets.

This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course include: Low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems.

Explores the potential of information technology and the internet to transform public education, city design, and community development in inner-city neighborhoods. Associated with the West Philadelphia Landscape Project, an ongoing action-research program integrating research, teaching, and community service since 1987. This workshop explores the potential of media technology and the Internet to enhance communication and transform city design and community development in inner-city neighborhoods. The class introduces a variety of methods for describing or representing a place and its residents, for simulating actions and changes, for presenting visions of the future, and for engaging multiple actors in the process of envisioning change and guiding action. Students will engage one neighborhood, meet real people working on real projects, put theory into practice, and reflect on insights gained in the process. This year the course will examine what it means to be an urban designer/planner and how to create a digital teaching tool (using digital storytelling) that supports others in learning about the relationship between design and planning professionals, on the one hand, and members of the communities they serve, on the other. What is the nature of the knowledge that resides in a community and how can designers and planners learn about, tap, and use that knowledge? What is the relationship between community organizing and urban design and planning? What are the relationships between you as a professional, the place(s) in which you work, and the values and care you bring to that work? We will explore these themes in the context of Camfield Estates in Lower Roxbury, MA and its participation in the US Department of Housing and Urban Development's (HUD) Demonstration Disposition Project. There have been many stories written about Camfield Estates' participation in the Demonstration Disposition project, for it has been widely regarded as a model of success. There are two stories that have not yet been told, however: the story of the residents who organized the community and the story of the architects and planners who participated in the project. This course will use digital storytelling to reconstruct and connect these two stories.

Introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Applications of rule chaining, heuristic search, constraint propagation, constrained search, inheritance, and other problem-solving paradigms. Applications of identification trees, neural nets, genetic algorithms, and other learning paradigms. Speculations on the contributions of human vision and language systems to human intelligence.

The focus of the course is on medical science and practice in the age of automation and the genome, both present and future. It includes an analysis of the computational needs of clinical medicine, a review systems and approaches that have been used to support those needs, and an examination of new technologies.

Laboratory or field work in earth, atmospheric, and planetary sciences. To be arranged with department faculty. Consult with department Education Office. This course introduces students to the basic concepts of Medical Geology/Geochemistry. Medical Geology/Geochemistry is the study of the interaction between abundances of elements and isotopes and the health of humans and plants.

Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.

Modeling of microelectronic devices, and basic microelectronic circuit analysis and design. Physical electronics of semiconductor junction and MOS devices. Relation of electrical behavior to internal physical processes; development of circuit models; and understanding the uses and limitations of various models. Use of incremental and large-signal techniques to analyze and design bipolar and field effect transistor circuits, with examples chosen from digital circuits, single-ended and differential linear amplifiers, and other integrated circuits. Design project. 6.012 is the header course for the department's "Devices, Circuits and Systems" concentration. The topics covered include: modeling of microelectronic devices, basic microelectronic circuit analysis and design, physical electronics of semiconductor junction and MOS devices, relation of electrical behavior to internal physical processes, development of circuit models, and understanding the uses and limitations of various models. The course uses incremental and large-signal techniques to analyze and design bipolar and field effect transistor circuits, with examples chosen from digital circuits, single-ended and differential linear amplifiers, and other integrated circuits.

" 6.012 is the header course for the department's "Devices, Circuits and Systems" concentration. The topics covered include modeling of microelectronic devices, basic microelectronic circuit analysis and design, physical electronics of semiconductor junction and MOS devices, relation of electrical behavior to internal physical processes, development of circuit models, and understanding the uses and limitations of various models. The course uses incremental and large-signal techniques to analyze and design bipolar and field effect transistor circuits, with examples chosen from digital circuits, single-ended and differential linear amplifiers, and other integrated circuits."

Modeling of microelectronic devices, and basic microelectronic circuit analysis and design. Physical electronics of semiconductor junction and MOS devices. Relation of electrical behavior to internal physical processes; development of circuit models; and understanding the uses and limitations of various models. Use of incremental and large-signal techniques to analyze and design bipolar and field effect transistor circuits, with examples chosen from digital circuits, single-ended and differential linear amplifiers, and other integrated circuits. Design project. 6.012 is the header course for the department's "Devices, Circuits and Systems" concentration. The topics covered include: modeling of microelectronic devices, basic microelectronic circuit analysis and design, physical electronics of semiconductor junction and MOS devices, relation of electrical behavior to internal physical processes, development of circuit models, and understanding the uses and limitations of various models. The course uses incremental and large-signal techniques to analyze and design bipolar and field effect transistor circuits, with examples chosen from digital circuits, single-ended and differential linear amplifiers, and other integrated circuits.

" 6.012 is the header course for the department's "Devices, Circuits and Systems" concentration. The topics covered include: modeling of microelectronic devices, basic microelectronic circuit analysis and design, physical electronics of semiconductor junction and metal-on-silicon (MOS) devices, relation of electrical behavior to internal physical processes, development of circuit models, and understanding the uses and limitations of various models. The course uses incremental and large-signal techniques to analyze and design bipolar and field effect transistor circuits, with examples chosen from digital circuits, single-ended and differential linear amplifiers, and other integrated circuits."

Discusses basic physical mechanisms of particle and radiation transport due to microscopic collisions. Simple explanation of transport coefficients (e.g., diffusivity, viscosity, heat conductivity, electrical conductivity) and various nuclear cross sections. Derivation of the microscopic kinetic equation describing transport; the Boltzmann equation. Derivation of practical engineering fluid models (e.g., classical thermodynamics, the Navier Stokes equations, the neutron transport equations) from the kinetic model. Subject material elucidates the common roots of these widely different models. Transport is among the most fundamental and widely studied phenomena in science and engineering. This subject will lay out the essential concepts and current understanding, with emphasis on the molecular view, that cut across all disciplinary boundaries. (Suitable for all students in research.) Broad perspectives of transport phenomena; From theory and models to computations and simulations; Micro/macro coupling; Current research insights

MASLab (Mobile Autonomous System Laboratory) is a robotics contest. The contest takes place during MIT's Independent Activities Period and participants earn 6 units of P/F credit and 6 Engineering Design Points. Teams of three to four students have less than a month to build and program sophisticated robots which must explore an unknown playing field and perform a series of tasks. MASLab provides a significantly more difficult robotics problem than many other university-level robotics contests. Although students know the general size, shape, and color of the floors and walls, the students do not know the exact layout of the playing field. In addition, MASLab robots are completely autonomous, or in other words, the robots operate, calculate, and plan without human intervention. Finally, MASLab is one of the few robotics contests in the country to use a vision based robotics problem.

Second subject of two-term sequence on modeling, analysis and control of dynamic systems. Kinematics and dynamics of mechanical systems including rigid bodies in plane motion. Linear and angular momentum principles. Impact and collision problems. Linearization about equilibrium. Free and forced vibrations. Sensors and actuators. Control of mechanical systems. Integral and derivative action, lead and lag compensators. Root-locus design methods. Frequency-domain design methods. Applications to case-studies of multi-domain systems.

First of two-term sequence on modeling, analysis and control of dynamic systems. Mechanical translation, uniaxial rotation, electrical circuits and their coupling via levers, gears and electro-mechanical devices. Analytical and computational solution of linear differential equations and state-determined systems. Laplace transforms, transfer functions. Frequency response, Bode plots. Vibrations, modal analysis. Open- and closed-loop control, instability. Time-domain controller design, introduction to frequency-domain control design techniques. Case studies of engineering applications.

This course provides an introduction to the study of environmental phenomena that exhibit both organized structure and wide variability - i.e., complexity. Through focused study of a variety of physical, biological, and chemical problems in conjunction with theoretical models, we learn a series of lessons with wide applicability to understanding the structure and organization of the natural world. Students will also learn how to construct minimal mathematical, physical, and computational models that provide informative answers to precise questions.

In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required.

Applications of physics (Newtonian, statistical, and quantum mechanics) to fundamental processes that occur in celestial objects. Includes main-sequence stars, collapsed stars (white dwarfs, neutron stars, and black holes), pulsars, supernovae, the interstellar medium, galaxies, and as time permits, active galaxies, quasars, and cosmology. Observational data discussed. No prior knowledge of astronomy is required.

"Physical metallurgy encompasses the relationships between the composition, structure, processing history and properties of metallic materials. In this seminar you'll be introduced to metallurgy in a particularly "physical" way. We will do blacksmithing, metal casting, machining, and welding, using both traditional and modern methods. The seminar meets once per week for an evening laboratory session, and once per week for discussion of issues in materials science and engineering that tie in to the laboratory work. Students will begin by completing some specified projects and progress to designing and fabricating one forged and one cast piece."