This course provides a brief introduction to the field of biocatalysis in the context of process design. Fundamental topics include why and when one may choose to use biological systems for chemical conversion, considerations for using free enzymes versus whole cells, and issues related to design and development of bioconversion processes. Biological and engineering problems are discussed as well as how one may arrive at both biological and engineering solutions.

The lectures introduce a number of topics that are important for IWRM and the modeling exercise. The lectures introduce water management issues in the Netherlands, Rhine Basin, and Volta Basin. The role-play is meant to experience some of the social processes that, together with technical knowledge, determine water management.

This graduate-level course covers fluid systems dominated by the influence of interfacial tension. The roles of curvature pressure and Marangoni stress are elucidated in a variety of fluid systems. Particular attention is given to drops and bubbles, soap films and minimal surfaces, wetting phenomena, water-repellency, surfactants, Marangoni flows, capillary origami and contact line dynamics.

Analysis, modeling, and design of heat and mass transfer processes with application to common technologies. Unsteady heat conduction in one or more dimensions, steady conduction in multidimensional configurations, numerical simulation; forced convection in laminar and turbulent flows; natural convection in internal and external configurations; phase change heat transfer; thermal radiation, black bodies, grey radiation networks, spectral and solar radiation; mass transfer at low rates, evaporation.

This course provides an introduction to the universe beyond the Earth. We begin with a study of the night sky and the history of the science of astronomy. We then explore the various objects seen in the cosmos including the solar system, stars, galaxies, and the evolution of the universe itself. As an online course, it is equivalent to 6 lecture hours, and satisfies science requirements for the AA and AS degree. It is designed to be thorough enough to prepare you for more advanced work, while presenting the concepts to non-majors in a way that is meaningful and not overwhelming. We will consider the course a success if you have learned how to think about the universe critically in an organized, logical way, and to have enhanced your appreciation of the sky around us.

" The fundamental concepts, and approaches of aerospace engineering, are highlighted through lectures on aeronautics, astronautics, and design. Active learning aerospace modules make use of information technology. Student teams are immersed in a hands-on, lighter-than-air (LTA) vehicle design project, where they design, build, and fly radio-controlled LTA vehicles. The connections between theory and practice are realized in the design exercises. Required design reviews precede the LTA race competition. The performance, weight, and principal characteristics of the LTA vehicles are estimated and illustrated using physics, mathematics, and chemistry known to freshmen, the emphasis being on the application of this knowledge to aerospace engineering and design rather than on exposure to new science and mathematics."

This class covers basic concepts of nuclear physics with emphasis on nuclear structure and interactions of radiation with matter. Topics include elementary quantum theory; nuclear forces; shell structure of the nucleus; alpha, beta and gamma radioactive decays; interactions of nuclear radiations (charged particles, gammas, and neutrons) with matter; nuclear reactions; fission and fusion.

" This class is a project-based introduction to the engineering of synthetic biological systems. Throughout the term, students develop projects that are responsive to real-world problems of their choosing, and whose solutions depend on biological technologies. Lectures, discussions, and studio exercises will introduce (1) components and control of prokaryotic and eukaryotic behavior, (2) DNA synthesis, standards, and abstraction in biological engineering, and (3) issues of human practice, including biological safety; security; ownership, sharing, and innovation; and ethics. Enrollment preference is given to freshmen. This subject was originally developed and first taught in Spring 2008 by Drew Endy and Natalie Kuldell. Many of Drew's materials are used in this Spring 2009 version, and are included with his permission. This OCW Web site is based on the OpenWetWare class Wiki, found at OpenWetWare: 20.020 (S09)"

his is a complete course in chemical stoichiometry, which is a set of tools chemists use to count molecules and determine the amounts of substances consumed and produced by reactions. The course is set in a scenario that shows how stoichiometry calculations are used in real-world situations. The list of topics (see below) is similar to that of a high school chemistry course, although with a greater focus on reactions occurring in solution and on the use of the ideas to design and carry out experiments. Topics covered include: Dimensional Analysis, the Mole, Empirical Formulas, Limiting Reagents, Titrations, Reactions Involving Mixtures.

From consumer products to space-age technologies, chemistry affects our daily lives. In this course, students will learn the structure of matter and how it behaves under various conditions in order to better understand the chemical world. Designed for students with little or no chemistry background. Laboratory activities extend lecture concepts and introduce students to the experimental process. This course is designed for a face-to-face mode of instruction using online resources. Course content is divided into units. Each unit may include text readings, laboratory preparation, study questions, thought-provoking discussions, written assignments, learning activities, and group projects.Login: guest_oclPassword: ocl

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 textbook emphasizes connections between theory and application, making physics concepts interesting and accessible to students while maintaining the mathematical rigour inherent in the subject. Frequent, strong examples focus on how to approach a problem, how to work with the equations, and how to check and generalize the result.

In this course, the student will first learn about waves and oscillations in extended objects using classical mechanics. The course will then examine the sources and laws that govern static electricity and magnetism. A brief look at electrical measurements and circuits will help establish how electromagnetic effects are observed, measured, and applied. These topics lead to an examination of how Maxwell's equations unify electric and magnetic effects and how the solutions to Maxwell's equations describe electromagnetic radiation, which will serve as the basis for understanding all electromagnetic radiation, from very low frequency radiation emitted by power transmission lines to the most powerful astrophysical gamma rays. The course also investigates optics and launches a brief overview of Einstein's special theory of relativity. A basic knowledge of calculus is assumed. (Physics 102; See also: Biology 110, Chemistry 002, Mechanical Engineering 006)

This course offers a broad overview of physical, chemical, biological, geological, principles of environmental sciences, and serves as a core course for EEOS majors. Examples will focus on linked watershed and coastal marine systems. The student will be introduced to natural processes and interactions in the atmosphere, in the ocean, and on land. There is a focus on biogeochemical cycling of elements as well as changes of these natural cycles with time, especially with recent anthropogenic effects. Topics include plate tectonics, global climate change, ozone depletion, water pollution, oceanography, ecosystem health, and natural resources.

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. 

This course will survey physics concepts and their respective applications; it is intended as a basic introduction to the current physical understanding of our universe. In this course, the student will study physics from the ground up, learning the basic principles of physical law, their application to the behavior of objects, and the use of the scientific method in driving advances in this knowledge. This course focuses on Newtonian mechanics--how objects move and interact--rather than Electromagnetism or Quantum Mechanics. While mathematics is the language of physics, the student need only be familiar with high school-level algebra, geometry, and trigonometry; the small amount of additional math needed will be developed during the course. (Physics 101; See also: Biology 109, Chemistry 001, Mechanical Engineering 005)

Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, attractors, and hybrid computation. Backpropagation and Hebbian learning. Models of perception, motor control, memory, and neural development. Alternate years.

An introduction to the results and techniques of observations of the ocean in the context of its physical properties and dynamical constraints. Emphasis on large-scale steady circulation and the time-dependent processes that contribute to it. Includes the physical setting of the ocean, atmospheric forcing, application of conservation laws, description of wind-driven and thermohaline circulation, eddy processes, and interpretive techniques.

This course is an introduction to the fundamental aspects of science and engineering necessary for exploring, observing, and utilizing the oceans. Hands-on projects focus on instrumentation in the marine environment and the design of ocean observatories for ocean monitoring and exploration. Topics include acoustics, sound speed and refraction, sounds generated by ships and marine animals, sonar systems and their principles of operation, hydrostatic behavior of floating and submerged bodies geared towards ocean vehicle design, stability of ocean vessels, and the application of instrumentation and electronics in the marine environment. Students work with sensor systems and deploy them in the field to gather and analyze real world data.

Planet Earth’s ocean covers over seventy percent of its surface, yet oceanographic research has only recently come to its full potential with the advent of new technologies. This course in Introductory Oceanography emphasizes the need to understand geologic, chemical, physical, and biologic processes or features that occur in ocean environments. It is designed to be thorough enough to prepare you for more advance work, while presenting the concepts to non-majors in a way that is meaningful and not overwhelming.Login: guest_oclPassword: ocl