mit courses pdf

View the complete course:...Introduction to Solid State Chemistry is a freshman (first-year) class on the principles of chemistry, with an emphasis on solid-state materials, and their application to engineering systems. Recent research into the innovation process has made it possible to develop "breakthroughs" systematically. Your use of the MIT OpenCourseWare site and materials is subject to our

They create models and design experiments to determine how we can improve energy efficiency at all scales, from nanostructures and photovoltaic cells to large power plants and smart electrical grids. Six Sigma is a quality system developed at Motorola which focuses on elimination of variation from all processes. View the complete course: http://ocw.mit.edu/18-03SCF11 License: Creative Commons BY-NC-SA More information at...Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. MIT 18.02SC Multivariable Calculus, Fall 2010 Lectures will be a place for crazy ideas to bounce around as we try to pace our way through this enlightening tome. Topics covered in geometrical optics include: ray-tracing, aberrations, lens design, apertures and stops, radiometry and photometry.

Courses are added and removed each term. View the...This course has been MIT's introductory pre-professional computer science subject since 1981.

7.012 Introduction to Biology, Fall 2004 }���0O� ݇㣓ˇΰ��֔}9>b�W0B Ə��b�P��t�p0��F��SF " They discover new ways of generating and storing energy, as in creating biofuels from plant waste and in holding electricity from renewable sources in cost-effective, high-capacity batteries. MIT 8.01 Physics I: Classical Mechanics, Fall 1999 The goal of the course is for students to leave with an ability to identify, diligence, and value investment opportunities using the approach practiced in the industry. endobj MIT 6.262 Discrete Stochastic Processes, Spring 2011 There is no lecture 8 video because the exam was given during this session. Upon completion of 6.001, students should be able to explain and apply the basic methods from programming languages to analyze computational systems, and to generate computational solutions to abstract problems. With more than 2,400 courses available, OCW is delivering on the promise of open sharing of knowledge. In addition to the basic concepts of Electromagnetism, a vast variety of interesting topics are covered in this course: Lightning, Pacemakers, Electric Shock Treatment, Electrocardiograms, Metal Detectors, Musical Instruments, Magnetic Levitation, Bullet Trains, Electric Motors, Radios, TV, Car Coils, Superconductivity, Aurora Borealis, Rainbows, Radio Telescopes, Interferometers, Particle Accelerators (a.k.a. It also investigates the characterization of atomic arrangements in crystalline and amorphous solids: metals, ceramics, semiconductors, and polymers (including proteins). The lecture videos provide an overview of each topic, while the recitation videos are designed to review key concepts. MIT OpenCourseWare (OCW) is a free, publicly accessible, openly-licensed digital collection of high-quality teaching and learning materials, presented in an easily accessible format. Stay tuned for 2021. Knowledge of calculus equivalent to 18.01 is recommended. License: Creative Commons BY-NC-SA More information at ocw.mit.edu/termsInstructors: Tom Leighton, Marten van Dijk This course covers elementary discrete mathematics. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu*This version has overhead slides that have had been adjusted for better readability. It is the second semester in the freshman calculus sequence. 6.450 Principles of Digital Communications I, Fall 2006 ���М�mВ6B_ϴ���D�y9���� View the complete course: http://ocw.mit.edu/6-262S11 Instructor: Robert Gallager License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/termsThe first lecture of twenty from MIT's Structure and Interpretation of Computer Programs course.The first two weeks of this course are an overview of performing improvisation with introductory and advanced exercises in the techniques of improvisation. The final four weeks focus on applying these concepts in business situations to practice and mastering these improvisation tools in leadership learning.View the complete course: http://ocw.mit.edu/6-042JS15 Instructor: Albert R. Meyer This course covers elementary discrete mathematics for computer science and engineering.