Online courses directory (19947)

This course will thoroughly educate the successful student with the knowledge and skills necessary to be a certified beginning SCUBA diver. The prerequisite for the course is passing the MIT SCUBA swim test and demonstrating a "comfort level" in the water. At the end of the class, students will attempt to pass the certification exam to become certified divers. The class is taught in two parts each week: a classroom session and a pool session. The classroom sessions along with the reading material will provide the student with the knowledge necessary to pass the written exam. At the pool, the water skills are taught in progressions that build on the previous skills, making the difficult skills seem easy.

The goals of this instructional course are to get you started in this wonderful sport and to give you a working knowledge of tennis. It should help you to understand the basics of a sport and how to perform these basics. Most of the course will focus on the basic stroke techniques. Variation to those techniques will be presented, as well as drills and games, so that you can take it to the court. Singles and doubles tactics will be covered as well.

The purpose of this class is to tell you something about our Tech Dinghy and how to sail it. This OCW site is arranged as a series of skills, explained both with lecture notes and videos. Please do not think of these skill checks as tests, but instead, as measures of your understanding of our sport. We don't expect perfection from our beginners, but only that our members be able to safely handle the boats and themselves on the Charles. For those who wish it, there will be much more that can be learned about other boats and other waters, but what can be learned here will provide the basis to build on. For more detail, a text on sailing the Tech Dinghy is provided in the readings section.

This course is an intensive introduction to the U.S. law of intellectual property with major emphasis on patents, including what can be patented, the process of patent application, and the remedies for patent infringement.

This undergraduate course is a broad, theoretical treatment of classical mechanics, useful in its own right for treating complex dynamical problems, but essential to understanding the foundations of quantum mechanics and statistical physics.

This is a graduate course on the design and analysis of algorithms, covering several advanced topics not studied in typical introductory courses on algorithms. It is especially designed for doctoral students interested in theoretical computer science.

For all of the bodies attached to the many great minds that walk the Institute's halls, in the work that goes on at MIT the body is present as an object of study, but is all but unrecognized as an important dimension of our intelligence and experience. Yet the body is the basis of our experience in the world; it is the very foundation on which cognitive intelligence is built. Using the MIT gymnastics gym as our laboratory, the Physical Intelligence activity will take an innovative, hands-on approach to explore the kinesthetic intelligence of the body as applicable to a wide range of disciplines. Via exercises, activities, readings and discussions designed to excavate our physical experience, we will not only develop balance, agility, flexibility and strength, but a deep appreciation for the inherent unity of mind and body that suggests physical intelligence as a powerful complement to cognitive intelligence.

The sensing, thinking, moving body is the basis of our experience in the world; it is the very foundation on which cognitive intelligence is built. Physical Intelligence, then, is the inherent ability of the human organism to function in extraordinary accord with its physical environment. This class--a joint offering from the Department of Athletics, Physical Education and Recreation (DAPER) and Department of Mechanical Engineering (ME) for both PE and academic credit--uses the MIT gymnastics gym as a laboratory to explore Physical Intelligence as applied to Mechanical Engineering and design. Readings, discussions and experiential learning introduce various dimensions of Physical Intelligence which students then apply to the design of innovative exercise equipment.

Bioengineering at MIT is represented by the diverse curricula offered by most Departments in the School of Engineering. This course samples the wide variety of bioengineering options for students who plan to major in one of the undergraduate Engineering degree programs. The beginning lectures describe the science basis for bioengineering with particular emphasis on molecular cell biology and systems biology. Bioengineering faculty will then describe the bioengineering options in a particular engineering course as well as the type of research conducted by faculty in the department.

This course provides an introduction to the physical chemistry of biological systems. Topics include: connection of macroscopic thermodynamic properties to microscopic molecular properties using statistical mechanics, chemical potentials, equilibrium states, binding cooperativity, behavior of macromolecules in solution and at interfaces, and solvation. Example problems include protein structure, genomic analysis, single molecule biomechanics, and biomaterials.

This course presents a challenging multi-dimensional perspective on the causes of human disease and mortality. The course focuses on analyses of major causes of mortality in the US since 1900: cancer, cardiovascular and cerebrovascular diseases, diabetes, and infectious diseases. Students create analytical models to derive estimates for historically variant population risk factors and physiological rate parameters, and conduct analyses of familial data to separately estimate inherited and environmental risks. The course evaluates the basic population genetics of dominant, recessive and non-deleterious inherited risk factors.

This course provides an introduction to linear systems, transfer functions, and Laplace transforms. It covers stability and feedback, and provides basic design tools for specifications of transient response. It also briefly covers frequency-domain techniques.

 

This course provides an introduction to the theory and phenomenology of nonlinear dynamics and chaos in dissipative systems. The content is structured to be of general interest to undergraduates in science and engineering.

This course is an advanced subject in fluid and continuum mechanics. The course content includes kinematics, macroscopic balances for linear and angular momentum, stress tensors, creeping flows and the lubrication approximation, the boundary layer approximation, linear stability theory, and some simple turbulent flows.

This course addresses the challenges of defining a relationship between exposure to environmental chemicals and human disease. Course topics include epidemiological approaches to understanding disease causation; biostatistical methods; evaluation of human exposure to chemicals, and their internal distribution, metabolism, reactions with cellular components, and biological effects; and qualitative and quantitative health risk assessment methods used in the U.S. as bases for regulatory decision-making. Throughout the term, students consider case studies of local and national interest.

This course introduces experimental biochemical and molecular techniques from a quantitative engineering perspective. Experimental design, data analysis, and scientific communication form the underpinnings of this subject. Three discovery-based experimental modules focus on RNA engineering, protein engineering, and cell-biomaterial engineering.

This OCW site is based on the source OpenWetWare class Wiki, 20.109(S10): Laboratory Fundamentals of Biological Engineering.

This course covers the analytical, graphical, and numerical methods supporting the analysis and design of integrated biological systems. Topics include modularity and abstraction in biological systems, mathematical encoding of detailed physical problems, numerical methods for solving the dynamics of continuous and discrete chemical systems, statistics and probability in dynamic systems, applied local and global optimization, simple feedback and control analysis, statistics and probability in pattern recognition.

An official course Web site and Wiki is maintained on OpenWetWare: 20.181 Computation for Biological Engineers.

This course covers sensing and measurement for quantitative molecular/cell/tissue analysis, in terms of genetic, biochemical, and biophysical properties. Methods include light and fluorescence microscopies; electro-mechanical probes such as atomic force microscopy, laser and magnetic traps, and MEMS devices; and the application of statistics, probability and noise analysis to experimental data. Enrollment preference is given to juniors and seniors.

This course focuses on computational and experimental analysis of biological systems across a hierarchy of scales, including genetic, molecular, cellular, and cell population levels. The two central themes of the course are modeling of complex dynamic systems and protein design and engineering. Topics include gene sequence analysis, molecular modeling, metabolic and gene regulation networks, signal transduction pathways and cell populations in tissues. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling.

This course provides an introduction to the field of comparative politics. Readings include both classic and recent materials. Discussions include research design and research methods, in addition to topics such as political culture, social cleavages, the state, and democratic institutions. The emphasis on each issue depends in part on the interests of the students.