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MIT OpenCourseWare
United States
Приєднався 11 жов 2005
A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching.
Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best.
Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more!
Get the full picture on the OCW website at ocw.mit.edu.
Accessibility: accessibility.mit.edu/
User comments policy: ocw.mit.edu/comments/
(Channel banner photo by Nietnagel on Flickr: flic.kr/p/8WXxfK.)
Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best.
Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more!
Get the full picture on the OCW website at ocw.mit.edu.
Accessibility: accessibility.mit.edu/
User comments policy: ocw.mit.edu/comments/
(Channel banner photo by Nietnagel on Flickr: flic.kr/p/8WXxfK.)
Відео
Introduction to R, Part III: Linear and Mixed Models in R
Переглядів 84113 годин тому
Introduction to R, Part III: Linear and Mixed Models in R
Introduction to R, Part I: Interface and Data Structures
Переглядів 17 тис.13 годин тому
Introduction to R, Part I: Interface and Data Structures
Introduction to GIS, Part V: Extract Information from Maps using Spatial Data Points
Переглядів 28113 годин тому
Introduction to GIS, Part V: Extract Information from Maps using Spatial Data Points
Introduction to R, Part IV: Loops and Functions
Переглядів 30013 годин тому
Introduction to R, Part IV: Loops and Functions
Introduction to GIS, Part II: Vectorial Maps, Raster Maps, and Time Series
Переглядів 26913 годин тому
Introduction to GIS, Part II: Vectorial Maps, Raster Maps, and Time Series
Introduction to GIS, Part III: Projection
Переглядів 12413 годин тому
Introduction to GIS, Part III: Projection
Introduction to GIS, Part IV: Stack, Brick, Crop, and Mask
Переглядів 19013 годин тому
Introduction to GIS, Part IV: Stack, Brick, Crop, and Mask
Introduction to GIS, Part VI: Plotting Maps with ggplot2
Переглядів 21313 годин тому
Introduction to GIS, Part VI: Plotting Maps with ggplot2
Introduction to R, Part II: Playing with the Data
Переглядів 32113 годин тому
Introduction to R, Part II: Playing with the Data
Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (FIXED)
Переглядів 2,2 тис.15 годин тому
Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (FIXED)
The Kitchen Cloud Chamber with Prof. Anne White
Переглядів 7 тис.15 годин тому
The Kitchen Cloud Chamber with Prof. Anne White
Lecture 6: Bisection Search (FIXED)
Переглядів 1,8 тис.15 годин тому
Lecture 6: Bisection Search (FIXED)
Lecture 10: Lists and Mutability (FIXED)
Переглядів 63615 годин тому
Lecture 10: Lists and Mutability (FIXED)
Lecture 16: Recursion on Non-numerics
Переглядів 3,2 тис.14 днів тому
Lecture 16: Recursion on Non-numerics
Lecture 21: Timing Programs and Counting Operations
Переглядів 3,4 тис.14 днів тому
Lecture 21: Timing Programs and Counting Operations
Lecture 23: Complexity Classes Examples
Переглядів 2,2 тис.14 днів тому
Lecture 23: Complexity Classes Examples
Lecture 1: Introduction to CS and Programming Using Python
Переглядів 191 тис.14 днів тому
Lecture 1: Introduction to CS and Programming Using Python
Lecture 4: Loops over Strings, Guess-and-Check, and Binary
Переглядів 6 тис.14 днів тому
Lecture 4: Loops over Strings, Guess-and-Check, and Binary
Lecture 9: Lambda Functions, Tuples, and Lists
Переглядів 2,6 тис.14 днів тому
Lecture 9: Lambda Functions, Tuples, and Lists
Lecture 5: Floats and Approximation Methods
Переглядів 3,6 тис.14 днів тому
Lecture 5: Floats and Approximation Methods
Chemistry is so beautiful.. i fall in love with Chemistry,.. around me only chemistry books and on to UA-cam only Chemistry Channels ❤
How do you know the color and hardness/softness of an electron that you are not able to observe? Can we see an electron? How is this even inferred?
❤❤
Thanks 🙏
37:33 Bayes rule
How can anyone learn from this. Lectures don’t help learning this….PowerPoint slides are so stupid. Let’s she her GitHub repo.
35:30
Juu poliisin tehtävä on ollu auttaa
As far as photon/polarizer debacle: could it be that the photons are entangled in opposite spins and the spin is the deciding factor as to whether the photons goes through.
35:21 The box does mean something, it means to release the happy chemicals in your brain.
I will save this lecture as one of those videos I use to fall asleep when I have insomnia. The professor could sell his videos as 'sleep tapes'.
Existence is Not Real and Quantic!
I’m proud that we built a commercial jet that could fly people in reasonable comfort at twice the speed of sound. To me Concorde, a product of the 1960s, is more impressive that any military hardware.
If Saturn does not change its velocity and hence does not change its momentum, neither can the small body simply by conservation of total momentum. This "derivation" is complete nonsense.
Thanks !
The velocity is a 3d vector, it does not "go in the minus i-hat direction". Quite obviously from this drawing and intuition the initial and final relative velocities do not sum to zero.
Unbelievable, he was in fact a genius
That's awesome.
Thanks
Gauss elimination Gauss-Jordan elimination Go search
I don't get it
3024 anyone?
Watching in 2024
I have a sample for nuclear activation analysis, allegedly it's a piece of Trinitite, but it'll be cool to see if any Plutonium can be detected
22:45 could someone help me understand the student's question about adaptation?
That's right kids. You can't say "colours chalk" any more. Its "chalks of colour". Faaaarrkk!
Thank you🎉
People like Gilbert Strang should get to go back in time so we can have them forever in our society.
I am trying to figure out what Ana's accent is? I am waffling between Canadian (but that is not quite correct) or some other language she spoke when very young then learned English? (but that may not be quite right either). Does anyone have any guesses?
heavy accent no bueno
good teacher
he really cant spell,he didnt lie to us
How you relate quantum physics with human or i can also write human quantum behavior... Human infact is a hibernated quantum vector with the properties which superposition in the shape of photon.
Would there be countries that would be opposed of the idea of using blockchain technology? 😅
The BIGGEST W to MIt for actually making high quality educational content free for people. I wanna learn calculus over the summer and this is great!!! Thanks a lot!
Super cool.
What’s the difference between dr and the tangent vector? Is dr just a scaled version of the tangent vector
hi
GoodTeacherMeansMakeEasyUnderstandAnythingSuppossedImpossible&YouAreSuch...BigHugFromCartagenadeIndiasColombia!!!!!!
As I know that strings are women underwears 😁😁😁😁😁😁😁😁😁😁
Huh????
@@herbertsusmann986 I'm talking about data type 😀
Thank you MIT
You are welcome 🤗
Are you man or woman?!! Or both?!!!
no need for you to know, this lecture is about R
@@CenMelin Curiosity is a human instinct 🥲
Great lecture but oh my god does it hurt my ears when he rubs draws out squares with the entire piece of chalk.
Computer science student from Africa taking this course is really helpful.
Thanks
Prof, I say it with the simplicity that we were given when dealing with science. Indeterminism is the result of mathematics that happened in our civilization. Our mathematics was constructed with great difficulty by people whose personal problems we don't even know about... There, it was only possible to go where they had stopped or tried. New ideas or attempts to change the language simply disappeared into the past. As a species and as humans we saw and intuited what was possible. We are grateful to those who preceded us. But we have been too obedient for many centuries. The advances were stronger than human perceptions. For example, when we discovered electromagnetic waves, the passion for novelty made any scientific work in another direction, or rather, another form of perception, impossible. To this day, we use electromagnetic waves as a way of seeing the universe. I don't talk about this with people close to me because they are well trained in asking me what I would put in place of those waves. We have already spent 100 years in full passion for what was perceived to us... Today, I can only feel that both mathematical languages and current physics theories could be different. We are not at the end of the line. Current indeterminism puts us on our feet. I like to remember that we are bipeds, so we are here to walk. Finding paths and other languages, mathematical or not. In fact, it doesn't matter what type of language it is. Yes, it's been more than 100 years... We remain very much in love. Those who preceded us were very dedicated to their studies. I think about what these people intuited and couldn't publish. How much we lost by not being able to hear them with the real words they could. In a hypothetical situation, we can talk to any of these people on video call. Something not so mysterious tells me that they would surprise us with the difference between what they published and what they want to talk about. Time passes and every day I become more suspicious of the languages that exist. We have beliefs. The most important of these is the belief in the languages we create to perceive reality. Being a teacher is very tiring, incredibly challenging and rewarding. OK, I just wanted to talk to you a little. thanks! I have many doubts about the languages we use to perceive, feel and interpret reality. I have no doubt about the importance you have in my reflections on this.
20:08 how did he get all those numbers. It doesnt make sense
Variables* prolly. Whatever it is, the equation doesn't make sense to me
The killdeer is a remarkable species.
Great job Ana! Coming from a family of teachers I appreciate your teaching style and ability to make each point clear with useful examples. I am going back to college (after 20 years of running a business) and I feel like I will be ready to understand the basics of programming from studying this series of videos. Well done. Thank you so much.
At one point in time, many many years ago,, I had a really good understanding of base 10 and base 2 or binary numbers, but for some reason I'm not fully understanding all of Ana' sentences, in real time, so I'm going to have to replay this video, using the pause button often,, to ensure I'm grasping the logic and the patterns that she describes. But I do love the idea that she fully grasps and internalizes these concepts. That's why she's the CS professor at MIT. 💪🏼💪🏽🙌🏽💯%❤ A sincere thanks to MIT for posting OpenCoarseWare videos! Finally, my big question is: If I'm not able to logically recreate the process/algorithm and Python code for converting a base 10 decimal number into a base two binary decimal number, if I'm not able to easily/quickly do that, will I have severe struggles becoming a Python Software Developer or Software Engineer? I would imagine that once I can do that easily, I can use a similar algorithm to convert any base # to binary. Is that the idea? I've gotta really studg the binary representation of .625 😏😒🙏🏽 Oh, is this the kind of code or algorithm inside a calculator?