Browsing MIT OpenCourseWare (MIT OCW) - Archived Content by Title
Now showing items 999-1018 of 1379
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6.071 Introduction to Electronics, Fall 2002
(2002-12)Introductory subject suitable for students with little or no previous background in electronics. Elementary network theory with op-amps, transients, second order linear systems and active filters, AM and FM modulation, ... -
6.092 Introduction to Software Engineering in Java, January (IAP) 2008
(2008-01)This course is an introduction to software engineering, using the Java™ programming language; it covers concepts useful to 6.005. The focus is on developing high quality, working software that solves real problems. Students ... -
6.092 Introduction to Software Engineering in Java, January (IAP) 2009
(2009-01)This course is an introduction to Java programming and software engineering. It is designed for those who have little or no programming experience in Java and covers concepts useful to 6.005. The focus is on developing ... -
6.094 Introduction to MATLAB, January IAP 2010
(2010)This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with students doing sample ... -
6.094 Introduction to MATLAB®, January IAP 2009
(2009)This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with a computer running ... -
6.096 Introduction to C++, January IAP 2009
(2009)This course is designed for undergraduate and graduate students in science, social science and engineering programs who need to learn fundamental programming skills quickly but not in great depth. The course is ideal for ... -
6.101 Introductory Analog Electronics Laboratory, Fall 2002
(2002-12)Introductory experimental laboratory explores the design, construction, and debugging of analog electronic circuits. Lectures and six laboratory projects investigate the performance characteristics of diodes, transistors, ... -
6.111 Introductory Digital Systems Laboratory, Spring 2004
(2004-06)Lectures and labs on digital logic, flipflops, PALs, counters, timing, synchronization, finite-state machines, and microprogrammed systems prepare students for the design and implementation of a final project of their ... -
6.152J / 3.155J Microelectronics Processing Technology, Fall 2003
(2003-12)Introduces the theory and technology of integrated-circuit fabrication. Lectures and laboratory sessions on basic processing techniques such as diffusion, oxidation, epitaxy, photolithography, chemical vapor deposition, ... -
6.161 Modern Optics Project Laboratory, Fall 2002
(2002-12)Lectures, laboratory exercises, and projects in modern optics. Topics: polarization properties of light, reflection and refraction, coherence and interference, Fraunhofer and Fresnel diffraction, imaging and transforming ... -
6.163 Strobe Project Laboratory, Spring 2005
(2005-06)A project laboratory for the application of electronic flash sources to measurement and photography. First half covers fundamentals of photography and electronic flashes, including experiments on application of electronic ... -
6.170 Laboratory in Software Engineering, Fall 2001
(2001-12)Introduces concepts and techniques relevant to the production of large software systems. Students taught a programming method based on the recognition and description of useful abstractions. Topics: modularity; specification; ... -
6.172 Performance Engineering of Software Systems, Fall 2009
(2009-12)Modern computing platforms provide unprecedented amounts of raw computational power. But significant complexity comes along with this power, to the point that making useful computations exploit even a fraction of the ... -
6.172 Performance Engineering of Software Systems, Fall 2010
(2010-12)Modern computing platforms provide unprecedented amounts of raw computational power. But significant complexity comes along with this power, to the point that making useful computations exploit even a fraction of the ... -
6.189 A Gentle Introduction to Programming Using Python, January IAP 2010
(2010)This 6-unit P/D/F course will provide a gentle introduction to programming using Python for highly motivated students with little or no prior experience in programming computers over the first two weeks of IAP. The course ... -
6.231 Dynamic Programming and Stochastic Control, Fall 2002
(2002-12)Sequential decision-making via dynamic programming. Unified approach to optimal control of stochastic dynamic systems and Markovian decision problems. Applications in linear-quadratic control, inventory control, and resource ... -
6.231 Dynamic Programming and Stochastic Control, Fall 2008
(2008-12)This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a dynamical system over both a finite and ... -
6.231 Dynamic Programming and Stochastic Control, Fall 2011
(2011-12)The course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a dynamical system over both a finite and ... -
6.241 Dynamic Systems & Control, Fall 2003
(2003-12)6.241 examines linear, discrete- and continuous-time, and multi-input-output systems in control and related areas. Least squares and matrix perturbation problems are considered. Topics covered include: state-space ... -
6.251J / 15.081J Introduction to Mathematical Programming, Fall 2002
(2002-12)This course offers an introduction to optimization problems, algorithms, and their complexity, emphasizing basic methodologies and the underlying mathematical structures. The main topics covered include: Theory and algorithms ...