5.36 Biochemistry Laboratory (MIT)
The course, which spans two thirds of a semester, provides students with a research-inspired laboratory experience that introduces standard biochemical techniques in the context of investigating a current and exciting research topic, acquired resistance to the cancer drug Gleevec. Techniques include protein expression, purification, and gel analysis, PCR, site-directed mutagenesis, kinase activity assays, and protein structure viewing. This class is part of the new laboratory curriculum in the M
18.443 Statistics for Applications (MIT)
This course is a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision theory, and Bayesian statistics. Note: Please see the syllabus for a description of the different versions of 18.443 taught at MIT.
1.201J Transportation Systems Analysis: Demand and Economics (MIT)
The main objective of this course is to give broad insight into the different facets of transportation systems, while providing a solid introduction to transportation demand and cost analyses. As part of the core in the Master of Science in Transportation program, the course will not focus on a specific transportation mode but will use the various modes to apply the theoretical and analytical concepts presented in the lectures and readings. Introduces transportation systems analysis, stressing d
18.726 Algebraic Geometry (MIT)
This course provides an introduction to the language of schemes, properties of morphisms, and sheaf cohomology. Together with 18.725 Algebraic Geometry, students gain an understanding of the basic notions and techniques of modern algebraic geometry.
18.312 Algebraic Combinatorics (MIT)
This is an introductory course in algebraic combinatorics. No prior knowledge of combinatorics is expected, but assumes a familiarity with linear algebra and finite groups. Topics were chosen to show the beauty and power of techniques in algebraic combinatorics. Rigorous mathematical proofs are expected.
1.040 Project Management (MIT)
1.040 Project Management focuses on the management and implementation of construction projects, primarily infrastructure projects. A project refers to a temporary piece of work undertaken to create a unique product or service. Whereas operations are continuous and repeating, projects are finite and have an end date. Projects bring form or function to ideas or need. Some notable projects include the Manhattan Project (developing the first nuclear weapon); the Human Genome Project (mapping the hum
6.033 Computer System Engineering (MIT)
This course covers topics on the engineering of computer software and hardware systems: techniques for controlling complexity; strong modularity using client-server design, virtual memory, and threads; networks; atomicity and coordination of parallel activities; recovery and reliability; privacy, security, and encryption; and impact of computer systems on society. Case studies of working systems and readings from the current literature provide comparisons and contrasts. Two design projects are r
ESD.70J Engineering Economy Module (MIT)
This intensive micro-subject provides the necessary skills in Microsoft® Excel spreadsheet modeling for ESD.71 Engineering Systems Analysis for Design. Its purpose is to bring entering students up to speed on some of the advanced techniques that we routinely use in analysis. It is motivated by our experience that many students only have an introductory knowledge of Excel, and thus waste a lot of time thrashing about unproductively. Many people think they know Excel, but overlook many efficie
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 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 tech
11.220 Quantitative Reasoning & Statistical Methods for Planners I (MIT)
This course develops logical, empirically based arguments using statistical techniques and analytic methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitations of analytical techniques in planning practice.
21M.304 Writing in Tonal Forms II (MIT)
This course builds on the composition techniques practiced in 21M.303 Writing in Tonal Forms I. Students undertake further written and analytic exercises in tonal music, including a sonata-form movement for string quartet. Students will also have the opportunity to write short works that experiment with the expanded tonal techniques of the late 19th and early 20th centuries. Musicianship laboratory is required.
Virtual Maths, Shapes, Space and Measure, Sine, Cosine, Tangent, and Theta
Interactive tool demonstrating formulae for sine, cosine, and tangent with Theta
21M.606 Introduction to Stagecraft (MIT)
Offered in the spring and fall terms, Introduction to Stagecraft is a hands-on course that gets students working with the tools and techniques of theatrical production in a practical way. It is not a design course but one devoted to artisanship. Among the many remarkable final projects that have been proposed and presented at the end of the course have been a Renaissance hourglass blown in the MIT glass shop and set into a frame turned on our set shop lathe; a four harness loom built by a studen
SP.718 Special Topics at Edgerton Center: D-Lab Health: Medical Technologies for the Developing Worl
D-Lab Health provides multi-disciplinary approach to global health technology design via guest lectures and a major project based on fieldwork. We will explore the current state of global health challenges and learn how design medical technologies that address those problems. Students may travel to Nicaragua during spring break and work with health professionals, using medical technology design kits to gain field experience for their device challenge. As a final class deliverable, you will creat
6.047 Computational Biology: Genomes, Networks, Evolution (MIT)
This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include: Genomes: biological sequence analysis, hidden Markov models, gene finding, RNA folding, sequence alignment, genome assembly Networks
14.451 Dynamic Optimization Methods with Applications (MIT)
This course focuses on dynamic optimization methods, both in discrete and in continuous time. We approach these problems from a dynamic programming and optimal control perspective. We also study the dynamic systems that come from the solutions to these problems. The course will illustrate how these techniques are useful in various applications, drawing on many economic examples. However, the focus will remain on gaining a general command of the tools so that they can be applied later in other cl
9.14 Brain Structure and Its Origins (MIT)
Outline of mammalian functional neuroanatomy, aided by studies of comparative neuroanatomy and evolution, and of brain development. Topics include early steps to a central nervous system, basic patterns of brain and spinal cord connections, regional development and differentiation, regeneration, motor and sensory pathways and structures, systems underlying motivations, innate action patterns, formation of habits, and various cognitive functions. Lab techniques reviewed. Optional brain dissectio
2.997 Direct Solar/Thermal to Electrical Energy Conversion Technologies (MIT)
This course introduces principles and technologies for converting heat into electricity via solid-state devices. The first part of the course discusses thermoelectric energy conversion and thermoelectric materials, thermionic energy conversion, and photovoltaics. The second part of the course discusses solar thermal technologies. Various solar heat collection systems will be reviewed, followed by an introduction to the principles of solar thermophotovoltaics and solar thermoelectrics. Spectral c
6.087 Practical Programming in C (MIT)
This course provides a thorough introduction to the C programming language, the workhorse of the UNIX operating system and lingua franca of embedded processors and micro-controllers. The first two weeks will cover basic syntax and grammar, and expose students to practical programming techniques. The remaining lectures will focus on more advanced concepts, such as dynamic memory allocation, concurrency and synchronization, UNIX signals and process control, library development and usage. Daily pro
7.340 Learning and Memory: Activity-Controlled Gene Expression in the Nervous System (MIT)
The mammalian brain easily outperforms any computer. It adapts and changes constantly. Most importantly, the brain enables us to continuously learn and remember. What are the molecular mechanisms that lead to learning and memory? What are the cellular roles that activity-regulated gene products play to implement changes in the brain?How do nerve cells, their connections (synapses), and brain circuits change over time to store information? We will discuss the molecular mechanisms of neuronal plas