Youtube comments of (@mitocw).
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+vatarants If you are interested in learning this, we recommend that you complete the prerequisite courses (8.01, 8.02, 8.03). From the course syllabus, "This class is a first introduction to quantum mechanics aimed at students with a good grasp of Newtonian mechanics, electricity & magnetism, and waves at the level of 8.01 Physics I, 8.02 Physics II, and 8.03 Physics III. While the topic is not hard, developing an intuition for quantum phenomena demands concerted effort." For more information, see the course on MIT OpenCourseWare at: http://ocw.mit.edu/8-04S13
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There are many reasons why there are no video lectures for many courses. Here are a few reasons:
Reason #1: Money. It costs a lot of money to record (store, review, edit, caption, archive) lectures. We only select a limited number of courses to be recorded. We can do easily five non-recorded courses to one video recorded course.
Reason #2: Time. It takes a lot of time to store, review, edit, caption, archive a recorded course. This course has minimum of 32 hours of footage. Not counting time to note IP issues, technical issues, glitches, etc.
Reason #3: Participation. All courses published on MIT OpenCourseWare are voluntary. Some instructors do not want to be recorded.
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+Mithil Leua From the syllabus, "The prerequisite for this course is 6.046, Design and Analysis of Algorithms, or an equivalently thorough undergraduate algorithms class from another school (e.g., covering much of CLRS). I recommend that you take 6.854, Advanced Algorithms, the broad entry-level graduate course in Theory / Algorithms—it normally makes sense to start there before jumping into deeper graduate courses. If you haven't taken 6.854, you must have a strong understanding of algorithms at the undergraduate level, such as receiving an A in 6.046, having done relevant research, involvement in computer competitions, etc." See the course on MIT OpenCourseWare for more information and course materials at http://ocw.mit.edu/6-851S12.
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In this case... books. From the Readings section of the course:
[E&R] = Eisberg, Robert M., and Robert Resnick. Quantum Physics of Atoms, Molecules, Solids, Nuclei, and Particles. Wiley, 1985. ISBN: 9780471873730.
[Li.] = Liboff, Richard L. Introductory Quantum Mechanics. Addison Wesley, 2002. ISBN: 9780805387148.
[Ga.] = Gasiorowicz, Stephen. Quantum Physics. John Wiley & Sons, 2003. ISBN: 9780471429456.
[Sh.] = Shankar, Ramamurti. Principles of Quantum Mechanics. Springer, 2008. ISBN: 9780306447907.
[E&R] Chapter 13: Sec. 1–7.
[Li.] Chapter 8: Sec. 1–4.
[Ga.] Chapter 4: supplements; Chapter 13: all.
[Sh.] see Liboff
See the course on MIT OpenCourseWare for more information and details at: http://ocw.mit.edu/8-04S13. Best wishes on your studies!
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+Sudev Sen From the Software page for the course on MIT OpenCourseWare: "Why Python?
....There is no best language (though I could nominate some candidates for worst). Different languages are better or worse for different kinds of applications. MATLAB, for example, is a great language for manipulating vectors and matrices. C is a good language for writing the programs that control data networks.
In this course, we will use Python. Python is a relatively recent addition to the universe of languages, and is still growing in popularity. I want to emphasize that this course is not about Python. You will certainly learn Python, and that's a good thing. What is much more important, however, is that you will learn how to write programs that solve problems, given a set of basic primitives, and ways of combining them into more complex elements, that you can then abstract into primitives. This skill can be transferred to many languages." See the course on MIT OpenCourseWare for the complete materials: http://ocw.mit.edu/6-00SCS11
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+Gabriel Palacios Here are the books listed, from the syllabus, "There are many good texts on introductory quantum mechanics. Which text is most appropriate for you depends on your interests and goals. To give you some choice, equivalent readings will be assigned each week from each of the following four texts:
Robert M., and Robert Resnick. Quantum Physics of Atoms, Molecules, Solids, Nuclei, and Particles. Wiley, 1985. ISBN: 9780471873730.
Liboff, Richard L. Introductory Quantum Mechanics. Addison Wesley, 2002. ISBN: 9780805387148.
Gasiorowicz, Stephen. Quantum Physics. John Wiley & Sons, 2003. ISBN: 9780471429456.
Shankar, Ramamurti. Principles of Quantum Mechanics. Springer, 2008. ISBN: 9780306447907." For more information and recommended readings, see the course on MIT OpenCourseWare at http://ocw.mit.edu/8-04S13
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😅 It's in the Electrical Engineering and Computer Science department. From the course description, "This course is an introduction to the theory that tries to explain how minds are made from collections of simpler processes. It treats such aspects of thinking as vision, language, learning, reasoning, memory, consciousness, ideals, emotions, and personality. It incorporates ideas from psychology, artificial intelligence, and computer science to resolve theoretical issues such as wholes vs. parts, structural vs. functional descriptions, declarative vs. procedural representations, symbolic vs. connectionist models, and logical vs. common-sense theories of learning." See http://ocw.mit.edu/6-868JF11 for more info. Best wishes on your studies!
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MIT 2.43 Advanced Thermodynamics, Spring 2024
Instructor: Gian Paolo Beretta
View the complete course: https://ocw.mit.edu/courses/2-43-advanced-thermodynamics-spring-2024/
Complete course table of contents with hyperlinks to slides and video timestamps: https://ocw.mit.edu/courses/2-43-advanced-thermodynamics-spring-2024/resources/mit2_43_s24_toc_slides_pdf/
Complete course analytical index with hyperlinks to slides and video timestamps: https://ocw.mit.edu/courses/2-43-advanced-thermodynamics-spring-2024/resources/mit2_43_s24_index_slides_pdf/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP6309d0oJDiVo1CvxUQXJ2il
This lecture covers: Definitions of system, property, state, dynamical law, process, weight process. Statement of the First Law. Definition of energy. Energy balance. Definitions of steady, unsteady, nonequilibrium, and stable, unstable and metastable equilibrium states.
Instructor suggests to set viewing speed at 1.5 for faster learning.
Slides for this lecture: https://ocw.mit.edu/courses/2-43-advanced-thermodynamics-spring-2024/resources/mit2_43_s24_lec01_pdf/
Key moments:
00:00:00 - Introduction
00:01:11 - In 2024 Thermodynamics Turns 200 Years Old!
00:01:51 - Some Pioneers of Thermodynamics
00:03:11 - Reference Books by Members of the “Keenan School”
00:06:21 - Course Outline - Part I
00:11:01 - Course Outline - Part II
00:11:22 - Course Outline - Part III
00:12:11 - Course Outline - Grading Policy
00:15:52 - Begin Review of Basic Concepts and Definitions
00:18:32 - The Loaded Meaning of the Word System
00:28:12 - The Loaded Meaning of the Word Property
00:33:11 - What Exactly Do We Mean by the Word State?
00:46:41 - General Laws of Time Evolution
00:53:11 - Time Evolution, Interactions, Process
00:55:01 - Definition of Weight Process
01:06:01 - Statement of the First Law of Thermodynamics
01:08:51 - Main Consequence of the First Law: Energy
01:11:21 - Additivity and Conservation of Energy
01:15:11 - Exchangeability of Energy via Interactions
01:20:11 - Energy Balance Equation
01:24:11 - States: Steady/Unsteady/Equilibrium/Nonequilibrium
01:28:41 - Equilibrium States: Unstable/Metastable/Stable
01:36:31 - Hatsopoulos-Keenan Statement of the Second Law
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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From the IAP About page ( https://web.mit.edu/iap/about/ ), "The Independent Activities Period (IAP) is a special term at MIT that runs from early January until the end of the month....
IAP provides members of the MIT community (students, faculty, staff, and alums) with a unique opportunity to organize, sponsor and participate in a wide variety of activities, including how-to sessions, forums, athletic endeavors, lecture series, films, tours, recitals and contests.
During IAP, students are encouraged to set their own educational agendas, pursue independent projects, meet with faculty, or pursue many other options not possible during the semester. Faculty are free to introduce innovative educational experiments as IAP activities. All members of the MIT Community, are encouraged to create offerings aimed at sharing a particular talent, expertise or interest with others at the Institute."
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This is an IAP (Independent Activities Period) course. From the IAP web page ( https://web.mit.edu/iap/ ): The Independent Activities Period (IAP) is a special term at MIT that runs from early January until the end of the month. IAP has provided members of the MIT community (students, faculty, staff, and alums) with a unique opportunity to organize, sponsor and participate in a wide variety of activities, including how-to sessions, forums, athletic endeavors, lecture series, films, tours, recitals and contests. ...e.g. this just what some of MIT does for fun. :)
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From the course syllabus, "Prerequisites
Given the wide range of backgrounds among students in this class we will try to avoid unnecessary jargon and mathematics. However, it will be very helpful if you are comfortable with the material in Introductory Biology 7.012, Differential Equations 18.03, and Probability 18.05. In addition, each weekly problem set will have a computational problem, so prior experience with a computational package such as MATLAB®, Mathematica®, or Python is expected. The “officially supported” package will be Python (sample code, etc), but problems can be done in any language."
Visit the course on MIT OpenCOurseWare for more info at: http://ocw.mit.edu/8-591JF14. Best wishes on your studies!
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If there are no solutions included on the OCW site, then, unfortunately, they are not available to OCW users.
In some cases, solutions to homework assignments, quizzes, and exams are only discussed and presented in the classroom, and not made available in print or electronic format to the MIT students — or to the worldwide community of visitors to the OCW website. In other cases, the instructors plan to re-use in their MIT classroom the assignments, quizzes, and exams, and so they do not wish to widely publish their solutions.
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Lucas and Laurens Sweet Review Sorry, there doesn't appear to be materials for this particular lecture. From the Lecture Notes section, "Sessions 2–1, 2–3, and 2–5 are comprised of Lego® simulations.
In-class materials are not available on MIT OpenCourseWare. For the
enterprise track, the following paper and presentation describe the
simulation and student reactions. McManus, Hugh, Eric
Rebentisch, Earll Murman, and Alexis Stanke. "Teaching Lean Thinking
Principles Through Hands-On Simulations." Presented at the 3rd International CDIO Conference, MIT, June 11–14, 2007. @16 @16"See the course on MIT OpenCourseWare to see the materials that are available: http://ocw.mit.edu/16-660JIAP12
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You have a few assumptions that are incorrect.
1:The MIT OpenCourseWare materials are under a non-commercial Creative Commons license... which means we can't use ads. Matter of fact, we have a special legal arrangement with YouTube/Google because of this. So we are not profiting right off the get go. ;)
2:We have done the cheap 'just have a student setup a camera in the back and hit record'... and on those videos you'll see all the complaints in the comments about how crappy it was. So yes, we could (and have done it) but you would not be happy about it (or maybe you would be but most other people are not). Also, what you are thinking about is only a small part of the life cycle of a video. Videos need to be edited, exported, compressed, tagged, captioned, uploaded, archived, and sometimes corrected ;). So our video costs are not zero.
We don't need massive amounts of money to survive but... money would help us thrive. Over our 18 years, MIT and sponsors have spent tens of millions of dollars funding MIT OCW and will continue to do so. We always have more videos (and other materials: textbooks, lecture notes, assignments, exams!) than we can process due to funding. So if you want to show your support of our mission to help educate the world and/or want to increase the amount of videos (and other materials)... donate. =D
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From the syllabus, "This is an introductory course covering elementary data structures (dynamic arrays, heaps, balanced binary search trees, hash tables) and algorithmic approaches to solve classical problems (sorting, graph searching, dynamic programming). Introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. Emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems." See https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-spring-2020/pages/syllabus/ for more info. Best wishes on your studies!
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From the course description, "This course is an introduction to the theory that tries to explain how minds are made from collections of simpler processes. It treats such aspects of thinking as vision, language, learning, reasoning, memory, consciousness, ideals, emotions, and personality. It incorporates ideas from psychology, artificial intelligence, and computer science to resolve theoretical issues such as wholes vs. parts, structural vs. functional descriptions, declarative vs. procedural representations, symbolic vs. connectionist models, and logical vs. common-sense theories of learning." See the course on MIT OpenCourseWare for more info and materials: http://ocw.mit.edu/6-868JF11. Best wishes on your studies!
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The syllabus doesn't have a required textbook. It suggests four books. "There are many good texts on introductory quantum mechanics. Which text is most appropriate for you depends on your interests and goals." See https://ocw.mit.edu/courses/8-04-quantum-physics-i-spring-2013/pages/readings/ for the weekly readings. The four books suggested:
Eisberg, Robert M., and Robert Resnick. Quantum Physics of Atoms, Molecules, Solids, Nuclei, and Particles. Wiley, 1985. ISBN: 9780471873730.
Liboff, Richard L. Introductory Quantum Mechanics. Addison Wesley, 2002. ISBN: 9780805387148.
Gasiorowicz, Stephen. Quantum Physics. John Wiley & Sons, 2003. ISBN: 9780471429456.
Shankar, Ramamurti. Principles of Quantum Mechanics. Springer, 2008. ISBN: 9780306447907.
Best wishes on your studies!
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From the syllabus ( http://ocw.mit.edu/8-04S13 ):
Eisberg, Robert M., and Robert Resnick. Quantum Physics of Atoms, Molecules, Solids, Nuclei, and Particles. Wiley, 1985. ISBN: 9780471873730.
Liboff, Richard L. Introductory Quantum Mechanics. Addison Wesley, 2002. ISBN: 9780805387148.
Gasiorowicz, Stephen. Quantum Physics. John Wiley & Sons, 2003. ISBN: 9780471429456.
Shankar, Ramamurti. Principles of Quantum Mechanics. Springer, 2008. ISBN: 9780306447907.
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From the syllabus, "There are many good texts on introductory quantum mechanics. Which text is most appropriate for you depends on your interests and goals. To give you some choice, equivalent readings will be assigned each week from each of the following four texts:
Eisberg, Robert M., and Robert Resnick. Quantum Physics of Atoms, Molecules, Solids, Nuclei, and Particles. Wiley, 1985. ISBN: 9780471873730.
Liboff, Richard L. Introductory Quantum Mechanics. Addison Wesley, 2002. ISBN: 9780805387148.
Gasiorowicz, Stephen. Quantum Physics. John Wiley & Sons, 2003. ISBN: 9780471429456.
Shankar, Ramamurti. Principles of Quantum Mechanics. Springer, 2008. ISBN: 9780306447907."
View the complete course: http://ocw.mit.edu/8-04S13
Best wishes on your studies!
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From the syllabus ( https://ocw.mit.edu/15-S12F18 ): "Readings and Study Questions
General advice: Please read blockchain news websites, such as CoinDesk, CCN.com, and Coin Telegraph, every week. Other popular websites are listed here: "Best on the Block: The World's Best Blockchain Websites." Also, please read blockchain, as well as, financial sector-related articles as they appear in The Wall Street Journal, the Financial Times, and The New York Times. As the world of blockchain technology and crypto finance are rapidly changing, specific (short) articles might be added to the reading when relevant."
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The full course site can be found here: https://ocw.mit.edu/16-687IAP19.
MIT OpenCourseWare (OCW) provides free educational content that you can use to teach yourself and others, but you cannot receive credit, a degree, or a certificate upon completion of OCW materials. Similarly, OCW has no registration or enrollment option, and we do not provide interaction or direct contact with MIT faculty, staff, or students.
Each OCW course offers some type of instruction which may include a syllabus, lecture notes, reading list, or calendar, and a learning activity such as assignments, quizzes, or exams.
The best places to begin are the syllabus or the calendar, then it's up to you to decide what you'd like to learn--whether you choose to study a course from beginning to end or just focus on a concept or two, you can study at your own pace with OCW.
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Here is the course description:
6.858 Computer Systems Security is a class about the design and implementation of secure computer systems. Lectures cover threat models, attacks that compromise security, and techniques for achieving security, based on recent research papers. Topics include operating system (OS) security, capabilities, information flow control, language security, network protocols, hardware security, and security in web applications.
For more info and materials, visit MIT OpenCourseWare at: http://ocw.mit.edu/6-858F14
Best wishes on your studies!
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From the course descriptions, "This is an introductory course covering elementary data structures (dynamic arrays, heaps, balanced binary search trees, hash tables) and algorithmic approaches to solve classical problems (sorting, graph searching, dynamic programming). Introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. Emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems." See the course on MIT OpenCourseWare for more info and materials at: https://ocw.mit.edu/6-006S20. Best wishes on your studies!
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