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Top Courses and Lectures

  • Justice with Michael Sandel

    full course by Harvard

    Instructor Michael Sandel JUSTICE is the first Harvard course to be made freely available online and on public television. Nearly a thousand students pack Harvard's historic Sanders Theatre to hear Michael Sandel, "perhaps the most prominent college professor in America," (Washington Post) talk about justice, equality, democracy, and citizenship.

  • Science and Cooking

    full course by Harvard

    This public lecture series discusses concepts from the physical sciences that underpin both everyday cooking and haute cuisine. Each lecture features a world-class chef who visited and presented their remarkable culinary designs: Ferran Adria presented spherification; Jose Andres discussed both the basic components of food and gelation; Joan Roca demonstrated sous vide; Enric Rovira showed his chocolate delicacies; Wylie Dufresne presented inventions with transglutaminase. The lectures t...

  • MIT Understanding Lasers and Fiberoptics

    full course by MIT

    Lasers are essential to an incredibly large number of applications. Today, they are used in bar code readers, compact discs, medicine, communications, sensors, materials processing, computer printers, data processing, 3D-imaging, spectroscopy, navigation, non-destructive testing, chemical processing, color copiers, laser "shows", and in the military. There is hardly a field untouched by the laser. But what exactly is so unique about lasers that makes them so effective? This brief video cours...

  • MIT RES.6-008 Digital Signal Processing, 1975

    full course by MIT

    Instructor: Alan V. Oppenheim Set of 20 video lectures for Signals and Systems, an introductory course in analog and digital signal processing, including seismic data processing, communications, speech processing, image processing, consumer electronics, and defense electronics. View the complete course: http://ocw.mit.edu/RES6-008S11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu


  • History

    full course by khanacademy

    The history of the world (eventually)!

  • Sugar: The Bitter Truth

    by UCtelevision

    NEW series with Dr. Lustig "The Skinny on Obesity" http://www.uctv.tv/skinny-on-obesity. Robert H. Lustig, MD, UCSF Professor of Pediatrics in the Division of Endocrinology, explores the damage caused by sugary foods. He argues that fructose (too much) and fiber (not enough) appear to be cornerstones of the obesity epidemic through their effects on insulin. Series: UCSF Mini Medical School for the Public [7/2009] [Health and Medicine] [Show ID: 16717] More videos about sugar: http://www.uctv...

  • MIT 9.00SC Introduction to Psychology, Fall 2011

    full course by MIT

    View the complete course: http://ocw.mit.edu/9-00SCS11 Instructor: John Gabrieli Introduction to Psychology is a survey of the scientific study of human nature, including how the mind works, and how the brain supports the mind. Topics include the mental and neural bases of perception, emotion, learning, memory, cognition, child development, personality, psychopathology, and social interaction. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at h...

  • Public Sociology, Live!

    full course by UCBerkeley


  • MIT 6.00SC Introduction to Computer Science and Programming

    full course by MIT

    Instructor: Professor John Guttag Collection of 26 lectures given during the Spring 2011 semester of 6.00, Introduction to Computer Science and Programming. This course covers introductory computer science methods and topics. All programming assignments use Python. View the complete course: http://ocw.mit.edu/6-00SCS11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

  • Statistics

    full course by khanacademy

    Introduction to statistics. Will eventually cover all of the major topics in a first-year statistics course (not there yet!)

  • MIT 6.001 Structure and Interpretation, 1986

    full course by MIT

    This course introduces students to the principles of computation. 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. Substantial weekly programming assignments are an integral part of the course. These twenty video lectures by Hal Abelson and Gerald Jay Sussman are a complete presentation of the course, given in July 1986 for Hewlett...

  • Writing in English - How to Start Any Letter

    by RebeccaESL

    http://www.engvid.com Need to write letters in English? Rebecca shows you how to start any letter easily and correctly with a few useful expressions. No more wasted time! Take a quiz on this lesson at http://www.engvid.com/writing-english-starting-letters/

  • Could have, would have, should have - modals of lost opportunity

    by JamesESL

    http://www.engvid.com You had your chance... but you lost it. Now you have the chance to learn how to talk about lost opportunity in English! Master the usage of the modals could, should, and would. Learn how native speakers use these three modals to talk about what they could have, would have, or should have done -- but didn't! Then take the quiz at http://www.engvid.com/could-would-should-modals/ .

  • Present Perfect or Past Perfect?

    by EnglishLessons4U

    http://www.engvid.com "I have eaten." "I had eaten." What's the difference, and when do use each form? In this important grammar lesson, learn how to distinguish between past perfect and present perfect. You'll learn the correct form of each tense, and when each should be used. Then take the quiz at http://www.engvid.com/present-perfect-or-past-perfect/ .

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  • Science and Cooking

    full course by Harvard

    This public lecture series discusses concepts from the physical sciences that underpin both everyday cooking and haute cuisine. Each lecture features a world-class chef who visited and presented their remarkable culinary designs: Ferran Adria presented spherification; Jose Andres discussed both the basic components of food and gelation; Joan Roca demonstrated sous vide; Enric Rovira showed his chocolate delicacies; Wylie Dufresne presented inventions with transglutaminase. The lectures t...

  • MIT Understanding Lasers and Fiberoptics

    full course by MIT

    Lasers are essential to an incredibly large number of applications. Today, they are used in bar code readers, compact discs, medicine, communications, sensors, materials processing, computer printers, data processing, 3D-imaging, spectroscopy, navigation, non-destructive testing, chemical processing, color copiers, laser "shows", and in the military. There is hardly a field untouched by the laser. But what exactly is so unique about lasers that makes them so effective? This brief video cours...

  • MIT 6.00SC Introduction to Computer Science and Programming

    full course by MIT

    Instructor: Professor John Guttag Collection of 26 lectures given during the Spring 2011 semester of 6.00, Introduction to Computer Science and Programming. This course covers introductory computer science methods and topics. All programming assignments use Python. View the complete course: http://ocw.mit.edu/6-00SCS11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

  • Chemistry

    full course by khanacademy

    Videos on chemistry (roughly covering a first-year high school or college course).


  • Physics

    full course by khanacademy

    Projectile motion, mechanics and electricity and magnetism. Solid understanding of algebra and a basic understanding of trigonometry necessary.

  • Game Theory with Ben Polak

    full course by YaleCourses

    This course is an introduction to game theory and strategic thinking. Ideas such as dominance, backward induction, Nash equilibrium, evolutionary stability, commitment, credibility, asymmetric information, adverse selection, and signaling are discussed and applied to games played in class and to examples drawn from economics, politics, the movies, and elsewhere.

  • MIT 6.001 Structure and Interpretation, 1986

    full course by MIT

    This course introduces students to the principles of computation. 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. Substantial weekly programming assignments are an integral part of the course. These twenty video lectures by Hal Abelson and Gerald Jay Sussman are a complete presentation of the course, given in July 1986 for Hewlett...

  • MIT 8.01 Physics I: Classical Mechanics, Fall 1999

    full course by MIT

    Instructor: Prof. Walter Lewin This course features lecture notes, problem sets with solutions, exams with solutions, links to related resources, and a complete set of videotaped lectures. The 35 video lectures by Professor Lewin, were recorded on the MIT campus during the Fall of 1999. Prof. Lewin is well-known at MIT and beyond for his dynamic and engaging lecture style. Find more lecture notes, study materials, and more courses at http://ocw.mit.edu.


  • Organic Chemistry

    full course by khanacademy

    Topics covered in college organic chemistry course. Basic understanding of basic high school or college chemistry assumed

  • Course | Modern Physics: Quantum Mechanics

    full course by StanfordUniversity

    This Stanford Continuing Studies course is the second of a six-quarter sequence of classes exploring the essential theoretical foundations of modern physics. The topics covered in this course focus on quantum mechanics. The course is taught by Leonard Susskind, the Felix Bloch Professor of Physics at Stanford University.

  • CS50: Intro To Computer Science

    full course by Harvard

    Instructor David Malan Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, encapsulation, data structures, databases, memory management, security, software development, virtualization, and websites. Languages include C, PHP, and JavaScript plus SQL, CSS, and HTML. Problem sets inspired by real-world domains of biology, cryp...

  • MIT RES.6-008 Digital Signal Processing, 1975

    full course by MIT

    Instructor: Alan V. Oppenheim Set of 20 video lectures for Signals and Systems, an introductory course in analog and digital signal processing, including seismic data processing, communications, speech processing, image processing, consumer electronics, and defense electronics. View the complete course: http://ocw.mit.edu/RES6-008S11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

  • MIT 6.00SC Introduction to Computer Science and Programming

    full course by MIT

    Instructor: Professor John Guttag Collection of 26 lectures given during the Spring 2011 semester of 6.00, Introduction to Computer Science and Programming. This course covers introductory computer science methods and topics. All programming assignments use Python. View the complete course: http://ocw.mit.edu/6-00SCS11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

  • Game Theory with Ben Polak

    full course by YaleCourses

    This course is an introduction to game theory and strategic thinking. Ideas such as dominance, backward induction, Nash equilibrium, evolutionary stability, commitment, credibility, asymmetric information, adverse selection, and signaling are discussed and applied to games played in class and to examples drawn from economics, politics, the movies, and elsewhere.

  • CS50: Intro To Computer Science

    full course by Harvard

    Instructor David Malan Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, encapsulation, data structures, databases, memory management, security, software development, virtualization, and websites. Languages include C, PHP, and JavaScript plus SQL, CSS, and HTML. Problem sets inspired by real-world domains of biology, cryp...


  • CS2: Data Structures and Algorithms - Richard Buckland

    full course by UNSWelearning

    These are the 2009 lectures of COMP1927 Algorithms and Data Structures, aka Computing2 the second computing course taken by first year computing students at UNSW. This course follows immediately on from COMP1917 (also available on YouTube). These lectures were recorded August-November 2009 and are gradually being uploaded to youtube. A selection of the course material is available at www.openlearning.net All of the course material will eventually be available (once all the videos are post...

  • Computer Sc - Artificial Intelligence

    full course by nptelhrd

    Lecture Series on Artificial Intelligence by Prof.Sudeshna Sarkar and Prof.Anupam Basu, Department of Computer Science & Engineering,I.I.T, Kharagpur .

  • MIT 6.001 Structure and Interpretation, 1986

    full course by MIT

    This course introduces students to the principles of computation. 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. Substantial weekly programming assignments are an integral part of the course. These twenty video lectures by Hal Abelson and Gerald Jay Sussman are a complete presentation of the course, given in July 1986 for Hewlett...

  • MIT 6.172 Performance Engineering of Software Systems

    full course by MIT

    Instructors: Saman Amarasinghe, Charles Leiserson This class is a hands-on, project-based introduction to building scalable and high-performance software systems. Topics include performance analysis, algorithmic techniques for high performance, instruction-level optimizations, cache and memory hierarchy optimization, parallel programming, and building scalable distributed systems. View the complete course: http://ocw.mit.edu/6-172F10 License: Creative Commons BY-NC-SA More information at h...


  • MIT 6.01SC Introduction to EECS I

    full course by MIT

    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. The lecture videos provide an overview of each topic, while the recitation videos are designed to review key concepts. View the complete course at: http://ocw.mit.edu/6-01SCS11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/...

  • Human Gene Regulation Signaling Networks and Gene Changes

    by UCtelevision

    (Visit: http://www.uctv.tv) Human-Specific Signaling Networks (Genevieve Konopka); Uniquely Human Gene Regulation (James Noonan); Human-Specific Changes in Siglec Genes (Ajit Varki) Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [8/2011] [Science] [Show ID: 21958]

  • Computer Science 10 - Lecture 13: Applications That Changed the World

    by UCBerkeley

    The Beauty and Joy of Computing Professor Dan Garcia Link to lecture notes: http://inst.eecs.berkeley.edu/~cs10/fa11/lec/14/

  • Statistics

    full course by khanacademy

    Introduction to statistics. Will eventually cover all of the major topics in a first-year statistics course (not there yet!)

  • Probability

    full course by khanacademy

    Basic probability. Should have a reasonable grounding in basic algebra before watching.

  • MIT 18.01 Single Variable Calculus, Fall 2006

    full course by MIT

    This introductory calculus course covers differentiation and integration of functions of one variable, with applications. **Note: Lectures 8, 17, 27, 34 are exams and therefore have no video View the complete course at: http://ocw.mit.edu/18-01F06 License: Creative Commons BY-NC-SA More information at ocw.mit.edu/terms

  • MIT Calculus Revisited: Multivariable Calculus

    full course by MIT

    Instructor: Herbert Gross This course is a study of the calculus of functions of several variables (vector arithmetic and vector calculus). View the complete course at: http://ocw.mit.edu/RES.18-007F11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu


  • Mathematics and Sport - Professor John D. Barrow

    full course by GreshamCollege

    A series of free public lectures on the Mathematics behind Sport, marking the approach to the 2012 London Olympics. For further information about this on-going series of free public lectures, please visit the Gresham College website: http://www.gresham.ac.uk

  • Statistics 21 - Fall 2009

    full course by UCBerkeley

    Statistics 21 - Fall 2009 - Introductory Probability and Statistics for Business - Professor Philip Stark

  • Algebra

    full course by khanacademy

    Topics covered from very basic algebra all the way through algebra II. This is the best algebra playlist to start at if you've never seen algebra before. Once you get your feet wet, you may want to try some of the videos in the "Algebra I Worked Examples" playlist.

  • Calculus

    full course by khanacademy

    Topics covered in the first two or three semesters of college calculus. Everything from limits to derivatives to integrals to vector calculus. Should understand the topics in the pre-calculus playlist first (the limit videos are in both playlists)


  • Geometry

    full course by khanacademy

    Videos on geometry. Basic understanding of Algebra I necessary. After this, you'll be ready for Trigonometry.

  • Trigonometry

    full course by khanacademy

    Videos on trigonometry. Watch the "Geometry" playlist first if you have trouble understanding the topics covered here.

  • Arithmetic

    full course by khanacademy

    The most basic of the math playlists. Start here if you have very little background in math fundamentals (or just want to make sure you do). After watching this playlist, you should be ready for the pre-algebra playlist.

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