MIT OpenCourseWare Courses

Atomic and Optical Physics II (Spring 2013)

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Course FeaturesVideo lecturesCaptions/transcriptAssignments: problem sets (no solutions)Educator FeaturesInstructor insightsCourse DescriptionThis is the second of a two-semester subject sequence beginning with Atomic and Optical Physics I (8.421) that provides the foundations for contemporary research in selected areas of atomic and optical physics. Topics covered include non-classical states of light–squeezed states; multi-photon processes, Raman scattering; coherence–level crossings, quantum beats, double resonance, superradiance; trapping and cooling-light forces, laser cooling, atom optics, spectroscopy of trapped atoms and ions; atomic interactions–classical collisions, quantum scattering theory, ultracold collisions; and experimental methods.

Quantum Physics III (Spring 2018)

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Course FeaturesVideo lecturesCaptions/transcriptLecture notesProjects (no examples)Assignments: problem sets (no solutions)Course DescriptionThis course is a continuation of 8.05 Quantum Physics II. It introduces some of the important model systems studied in contemporary physics, including two-dimensional electron systems, the fine structure of hydrogen, lasers, and particle scattering.An edX version of this course,8.06x Applications of Quantum Mechanics, is available starting on February 20, 2019 and running for 19 weeks.

Becoming the Next Bill Nye: Writing and Hosting the Educational Show (January IAP 2015)

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Course FeaturesVideo lecturesCaptions/transcriptProjects and examplesEducator FeaturesInstructor insightsCourse DescriptionBecoming the Next Bill Nye is about using video production techniques to develop your ability to engagingly convey your passions for science, technology, engineering, and / or math. You'll have the opportunity to script and on-screen host 5-minute YouTube science, technology, engineering, and / or math-related shows to inspire youth to consider a future in science.

Introduction to Solid State Chemistry (Fall 2010)

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Course FeaturesVideo lecturesFaculty introduction - videoCaptions/transcriptLecture notesAssignments: problem sets with solutionsExams and solutionsRecitation videosResource IndexCourse DescriptionIntroduction to Solid State Chemistry is a first-year single-semester college course on the principles of chemistry. This unique and popular course satisfies MIT's general chemistry degree requirement, with an emphasis on solid-state materials and their application to engineering systems.Course FormatThis course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:A complete set of Lecture Videos by Prof. Sadoway.Detailed Course Notes for most video sessions, plus readings in several suggested textbooks.Homework problems with solution keys, to further develop your understanding.For Further Study collections of links to supplemental online content.Self-Assessment pages containing quiz and exam problems to assess your mastery, and Help Session Videos in which teaching assistants take you step-by-step through exam problem solutions.About OCW ScholarOCW Scholar courses are designed specifically for OCW’s single largest audience: independent learners. These courses are substantially more complete than typical OCW courses, and include new custom-created content as well as materials repurposed from previously published courses. Learn more about OCW Scholar.

Energy Decisions, Markets, and Policies (Spring 2012)

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Course FeaturesVideo lecturesLecture notesAssignments: written (no examples)Educator FeaturesInstructor insightsCourse DescriptionThis course examines the choices and constraints regarding sources and uses of energy by households, firms, and governments through a number of frameworks to describe and explain behavior at various levels of aggregation. Examples include a wide range of countries, scope, settings, and analytical approaches.This course is one of many OCW Energy Courses, and it is a core subject in MIT's undergraduate Energy Studies Minor. This Institute-wide program complements the deep expertise obtained in any major with a broad understanding of the interlinked realms of science, technology, and social sciences as they relate to energy and associated environmental challenges.

General Relativity (Spring 2020)

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Course FeaturesVideo lecturesCaptions/transcriptAssignments: problem sets (no solutions)Course Description8.962 is MIT's graduate course in general relativity, which covers the basic principles of Einstein's general theory of relativity, differential geometry, experimental tests of general relativity, black holes, and cosmology.

Theory of City Form (Spring 2013)

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Course FeaturesVideo lecturesLecture notesAssignments: written with examplesEducator FeaturesInstructor insightsCourse DescriptionThis course covers theories about the form that settlements should take and attempts a distinction between descriptive and normative theory by examining examples of various theories of city form over time. Case studies will highlight the origins of the modern city and theories about its emerging form, including the transformation of the nineteenth-century city and its organization. Through examples and historical context, current issues of city form in relation to city-making, social structure, and physical design will also be discussed and analyzed.

Principles of Microeconomics (Fall 2018)

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Course FeaturesVideo lecturesCaptions/transcriptLecture notesAssignments: problem sets with solutionsExams and solutionsEducator FeaturesInstructor insightsPodcast - audioCourse DescriptionThis introductory undergraduate course covers the fundamentals of microeconomics. Topics include supply and demand, market equilibrium, consumer theory, production and the behavior of firms, monopoly, oligopoly, welfare economics, public goods, and externalities.Chalk Radio PodcastProf. Jonathan Gruber was featured in an episode of OpenCourseWare's podcast, Chalk Radio. In the episode "Thinking Like an Economist," Prof. Gruber talks about how he engages students in 14.01 with accessible real world examples. Listen to the episode on Apple Podcasts.

Physics III: Vibrations and Waves (Fall 2016)

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Course FeaturesVideo lecturesCaptions/transcriptLecture notesAssignments: problem sets (no solutions)Exams and solutionsResource IndexEducator FeaturesInstructor insightsCourse DescriptionVibrations and waves are everywhere. If you take any system and disturb it from a stable equilibrium, the resultant motion will be waves and vibrations. Think of a guitar string—pluck the string, and it vibrates. The sound waves generated make their way to our ears, and we hear the string’s sound. Our eyes see what’s happening because they receive the electromagnetic waves of the light reflected from the guitar string, so that we can recognize the beautiful sinusoidal waves on the string. In fact, without vibrations and waves, we could not recognize the universe around us at all!The amazing thing is that we can describe many fascinating phenomena arising from very different physical systems with mathematics. This course will provide you with the concepts and mathematical tools necessary to understand and explain a broad range of vibrations and waves. You will learn that waves come from many interconnected (coupled) objects when they are vibrating together. We will discuss many of these phenomena, along with related topics, including mechanical vibrations and waves, sound waves, electromagnetic waves, optics, and gravitational waves.

Probabilistic Systems Analysis and Applied Probability (Fall 2013)

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Course FeaturesVideo lecturesCaptions/transcriptAssignments: problem sets with solutionsExams and solutionsRecitation videosResource IndexCourse DescriptionThis course introduces students to the modeling, quantification, and analysis of uncertainty. The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management.Course Format This course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:Lecture Videos by MIT Professor John TsitsiklisLecture Slides and ReadingsRecitation Problems and SolutionsRecitation Help Videos by MIT Teaching AssistantsTutorial Problems and SolutionsTutorial Help Videos by MIT Teaching AssistantsProblem Sets with SolutionsExams with SolutionsRelated ResourceA complementary resource,Introduction to Probability,is provided by the videos developed for an EdX version of 6.041. These videos cover more or less the same content, in somewhat different order, and in somewhat more detail than the videotaped live lectures.

Computation Structures (Spring 2017)

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Course FeaturesVideo lecturesCaptions/transcriptLecture notesAssignments: programming with examplesEducator FeaturesInstructor insightsPodcast - audioCourse DescriptionThis course introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. It covers the topics including multilevel implementation strategies, definition of new primitives (e.g., gates, instructions, procedures, processes) and their mechanization using lower-level elements. It also includes analysis of potential concurrency, precedence constraints and performance measures, pipelined and multidimensional systems, instruction set design issues and architectural support for contemporary software structures.

Cryptocurrency Engineering and Design (Spring 2018)

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Course FeaturesVideo lecturesCaptions/transcriptLecture notesAssignments: problem sets (no solutions)Course DescriptionBitcoin and other cryptographic currencies have gained attention over the years as the systems continue to evolve. This course looks at the design of Bitcoin and other cryptocurrencies and how they function in practice, focusing on cryptography, game theory, and network architecture.

Introduction To MATLAB Programming (Fall 2011)

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Course FeaturesVideo lecturesCaptions/transcriptOnline textbooksAssignments: problem sets (no solutions)Assignments: programming with examplesCourse DescriptionThis course is intended to assist undergraduates with learning the basics of programming in general and programming MATLAB® in particular.

Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018)

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Course FeaturesVideo lecturesCaptions/transcriptAssignments: problem sets (no solutions)Educator FeaturesInstructor insightsPodcast - audioCourse DescriptionLinear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.

Principles of Chemical Science (Fall 2008)

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Course FeaturesVideo lecturesCaptions/transcriptLecture notesExams and solutionsCourse DescriptionThis course provides an introduction to the chemistry of biological, inorganic, and organic molecules.Theemphasis ison basic principles of atomic and molecular electronic structure, thermodynamics, acid-base and redox equilibria, chemical kinetics, and catalysis.In an effort to illuminate connections between chemistry and biology, a list of the biology-, medicine-, and MIT research-related examples used in 5.111 is provided in Biology-Related Examples.AcknowledgementsDevelopment and implementation of the biology-related materials in this course were funded through an HHMI Professors grant to Prof. Catherine L. Drennan. Videos and captioning were made possible and supported by the MIT Class of 2009.