6.012 Microelectronic Devices and Circuits (MIT)
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
20.011J Statistical Thermodynamics of Biomolecular Systems (BE.011J) (MIT)
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.
Morphy Richards Fan Heater
Fan heater;. Maker: Morphy, Richards - from the The Betty Smithers Design Collection at Staffordshire University.
Web Analysis and Design - Design
This reading material forms part of the "Design" topic in the Web Analysis and Design module.
18.03 Differential Equations (MIT)
Differential Equations are the language in which the laws of nature are expressed. Understanding properties of solutions of differential equations is fundamental to much of contemporary science and engineering. Ordinary differential equations (ODE's) deal with functions of one variable, which can often be thought of as time. Topics include: Solution of first-order ODE's by analytical, graphical and numerical methods; Linear ODE's, especially second order with constant coefficients; Undetermined
Structured Systems Analysis - Exploding DFDs
This reading material forms part of the "Exploding DFDs" topic in the Structured Systems Analysis module.
6.691 Seminar in Electric Power Systems (MIT)
This course comprises of a seminar on planning and operation of modern electric power systems. Content varies with current interests of instructor and class; emphasis on engineering aspects, but economic issues may be examined too. Core topics include: overview of power system structure and operation; representation of components, including transmission lines, transformers, generating plants, loads; power flow analysis, dynamics and control of multimachine systems, steady-state and transient sta
21W.756 Writing and Reading Poems (MIT)
This course is an examination of the formal structural and textual variety in poetry. Students engage in extensive practice in the making of poems and the analysis of both students' manuscripts and 20th-century poetry. The course attempts to make relevant the traditional elements of poetry and their contemporary alternatives. There are weekly writing assignments, including some exercises in prosody.
20.320 Biomolecular Kinetics and Cell Dynamics (MIT)
This class covers analysis of kinetics and dynamics of molecular and cellular processes across a hierarchy of scales, including intracellular, extracellular, and cell population levels; a spectrum of biotechnology applications are also taken into consideration. Topics include gene regulation networks; nucleic acid hybridization; signal transduction pathways; and cell populations in tissues and bioreactors. Emphasis is placed on experimental methods, quantitative analysis, and computational model
14.30 Introduction to Statistical Method in Economics (MIT)
This course is a self-contained introduction to statistics with economic applications. Elements of probability theory, sampling theory, statistical estimation, regression analysis, and hypothesis testing. It uses elementary econometrics and other applications of statistical tools to economic data. It also provides a solid foundation in probability and statistics for economists and other social scientists. We will emphasize topics needed in the further study of econometrics and provide basic prep
15.072J Queues: Theory and Applications (MIT)
This class deals with the modeling and analysis of queueing systems, with applications in communications, manufacturing, computers, call centers, service industries and transportation. Topics include birth-death processes and simple Markovian queues, networks of queues and product form networks, single and multi-server queues, multi-class queueing networks, fluid models, adversarial queueing networks, heavy-traffic theory and diffusion approximations. The course will cover state of the art resul
15.070 Advanced Stochastic Processes (MIT)
The class covers the analysis and modeling of stochastic processes. Topics include measure theoretic probability, martingales, filtration, and stopping theorems, elements of large deviations theory, Brownian motion and reflected Brownian motion, stochastic integration and Ito calculus and functional limit theorems. In addition, the class will go over some applications to finance theory, insurance, queueing and inventory models.
20.400J Perspectives in Biological Engineering (MIT)
This seminar-format course provides an in-depth presentation and discussion of how engineering and biological approaches can be combined to solve problems in science and technology, emphasizing integration of biological information and methodologies with engineering analysis, synthesis, and design. Emphasis is placed on molecular mechanisms underlying cellular processes, including signal transduction, gene expression networks, and functional responses.
20.109 Laboratory Fundamentals in Biological Engineering (MIT)
This course introduces experimental biochemical and molecular techniques from a quantitative engineering perspective. Rigorous quantitative data collection, statistical analysis, and conceptual understanding of instrumentation design and application form the underpinnings of this course. The four discovery based modules include DNA Engineering, Protein Engineering, Systems Engineering, and Biomaterials Engineering. Additional information is available on the course Wiki (hosted on OpenWetWare.)
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7.27 Principles of Human Disease (MIT)
This course covers current understanding of, and modern approaches to human disease, emphasizing the molecular and cellular basis of both genetic disease and cancer. Topics include: The Genetics of Simple and Complex Traits; Karyotypic Analysis and Positional Cloning; Genetic Diagnosis; The Roles of Oncogenes and Tumor Suppressors in Tumor Initiation, Progression, and Treatment; The Interaction between Genetics and Environment; Animal Models of Human Disease; Cancer; and Conventional and Gene Th
3.016 Mathematics for Materials Scientists and Engineers (MIT)
This course covers the mathematical techniques necessary for understanding of materials science and engineering topics such as energetics, materials structure and symmetry, materials response to applied fields, mechanics and physics of solids and soft materials. The class uses examples from the materials science and engineering core courses (3.012 and 3.014) to introduce mathematical concepts and materials-related problem solving skills. Topics include linear algebra and orthonormal basis, eigen
6.341 Discrete-Time Signal Processing (MIT)
This class addresses the representation, analysis, and design of discrete time signals and systems. The major concepts covered include: Discrete-time processing of continuous-time signals; decimation, interpolation, and sampling rate conversion; flowgraph structures for DT systems; time-and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filters; linear prediction; discrete Fourier transform, FFT algorithm; short-time Fourier analysis and filter banks; multirate te
6.041 Probabilistic Systems Analysis and Applied Probability (MIT)
This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.
17.559 Comparative Security and Sustainability (MIT)
This course focuses on the complexities associated with security and sustainability of states in international relations. Covering aspects of theory, methods and empirical analysis, the course is in three parts, and each consists of seminar sessions focusing on specific topics.
2.994 MADM with Applications in Material Selection and Optimal Design (MIT)
This course begins with a comparative review of conventional and advanced multiple attribute decision making (MADM) models in engineering practice. Next, a new application of particular MADM models in reliable material selection of sensitive structural components as well as a multi-criteria Taguchi optimization method is discussed. Other specific topics include dealing with uncertainties in material properties, incommensurability in decision-makers opinions for the same design, objective ways of
