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3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_3_Part_2_Circular_points_and_Absolute_conic.txt | so one of the use of the dual of the circular points denoted by c infinity star is to make use of it to compute the angles between any two lines on a projective plane and but before we look at how to do this in the projective plane let's refresh our memory on how to compute the angle between two lines uh suppose that i... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_5_Part_1_Camera_models_and_calibration.txt | hello everyone welcome to the lectron 3d computer vision and today we are going to talk about camera models and calibration hopefully by the end of today's lecture you will be able to describe the camera projection with the pinhole camera model and you'll be able to identify the camera center principle plane's principl... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_10_Part_2_StructurefromMotion_SfM_and_bundle_adjustment.txt | so after having computed the scene graph the next thing to do in large scale 3d reconstruction would be the structure for motion to get the sparse 3d reconstruction in general there are three paradigms of structure from motion the incremental structure for motion global structure for motion as well as the hierarchical ... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_2_Part_2_Rigid_body_motion_and_3D_projective_geometry.txt | so now let us look at the projective geometry and transformation in the 3d space after we have looked at the se3 transformation for rigid body motions and many properties of the entities in the projective three space are actually straightforward generalization of those in the projective 2d space an example here is that... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_6_Part_1_Single_view_metrology.txt | hello everyone welcome to the lecture on 3d computer vision and today we are going to talk about single view metrology hopefully by the end of today's lecture you'll be able to describe the action of camera projection on planes lines conics as well as quadric and you will be able to explain the respective effects of fi... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_11_Part_2_Twoview_and_multiview_stereo.txt | so now let's look at the derivation of the homography that will do stereo ratification to the pair of images we'll consider this by looking at the 3d point denoted as capital p which call and this 3d point corresponds to small p and p prime in the image coordinates of the respective left and right images we further den... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_8_Part_1_Absolute_pose_estimation_from_points_or_lines.txt | hello everyone welcome to the lecture on 3d computer vision and today we are going to talk about absolute post estimation from points or lines hopefully by the end of today's lecture you'll be able to define the perspective endpoint or otherwise known as the pmp camera post estimation problem we'll look at how to estim... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_12_Part_3_Generalized_cameras.txt | now after looking at the two view geometry for generalized camera let's proceed on to look at the absolute post estimation problem of a generalized camera suppose that we are given three sets of 2d to 3d correspondences which we denote at capital x1 x2 and x3 for the 3d point that are defined in the world reference fra... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_3_Part_3_Circular_points_and_Absolute_conic.txt | now let us look at the definition of a plane at infinity and it has a canonical position of pi represented by pi infinity equals to 0 0 0 1 here so we can see that this is a direct extension of the line at infinity which is on the 2d projective space which is given by 0 0 1 transpose and this is in the p2 space that we... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_11_Part_3_Twoview_and_multiview_stereo.txt | so the joint probability between two random variables x and y can be computed using the parson window method in this case uh in our context where we're comparing two patches of f and g what this simply means is the joint probability over the two random variables denoted by x that represents the vector of f and y that d... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_1_Part_1_2D_and_1D_projective_geometry.txt | hello everyone welcome to lecture 1 of 3d computer vision and today i'm going to talk about 2d and 1d projective geometry hopefully by the end of today's lecture you'll be able to explain the difference between euclidean and projective geometry in particular we'll look at the familiar cartesian 2d coordinates to descri... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_9_Part_3_Threeview_geometry_from_points_andor_lines.txt | so now let's look at several algebraic properties of the respective ti matrix in the trifocal tensor this would be evident that each of this three by three ti matrix has a rank of two this is because we've seen earlier on that the ti matrix it's made up of the sum of two outer products and in the earlier lecture we sai... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_7_Part_4_The_fundamental_and_essential_matrices.txt | so so far we have seen that given the point correspondences between two views how we can recover the fundamental matrix f in an uncalibrated setting and we have seen that by recovering f which is the fundamental matrix we can decompose it into a pair of camera projection matrices denoted by p and p prime respectively a... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_7_Part_2_The_fundamental_and_essential_matrices.txt | now so far we look at how the fundamental matrix can be used to transfer a point which we call x in one view onto a line which is the epipolar line denoted by l prime in on the other view this relation here is simply given by l prime equals to f multiplied by x and we have also seen how the fundamental matrix can be us... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_11_Part_1_Twoview_and_multiview_stereo.txt | hello everyone welcome to the lecture on 3d computer vision and today we are going to talk about tool view and multi-view stereo hopefully by the end of today's lecture you will be able to do stereo ratification and correspondence search along the scan lines to get the disparity map in the to view stereo and then we'll... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_7_Part_3_The_fundamental_and_essential_matrices.txt | now let's look at the proof of the lemma given two pairs of camera projection matrix which we denote as p p prime and p tilde and p theta prime they have the same fundamental matrix which is essentially given by the first cross product here a cross with capital a and this is also equals to a tilde cross product with ca... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_6_Part_3_Single_view_metrology.txt | so now let's look at how the calibration can be done we assign a frame on the 3d image pattern or which is a square and we'll simply call this 0 0 and if this is the x axis we'll call this 1 0 and zero one and one one over here so we will simply assign a set of coordinates on the 3d imaging device up to scale notice th... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_10_Part_1_StructurefromMotion_SfM_and_bundle_adjustment.txt | hello everyone welcome to the lecture on 3d computer vision and today we are going to talk about structure from motion and bundle adjustment hopefully by the end of today's lecture you'll be able to describe the pipeline of large-scale 3d reconstruction it consists of three parts namely the data association structure f... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_10_Part_3_StructurefromMotion_SfM_and_bundle_adjustment.txt | so after obtaining the 3d structures as well as the camera poses from the initial reconstruction as mentioned in the earlier slide the next thing to do would be to apply bundle adjustment on these estimates to obtain a better 3d reconstruction more specifically we achieved this by minimizing the total reprojection erro... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_4_Part_2_Robust_homography_estimation.txt | now we have seen that the direct linear transformation algorithm it minimizes the norm of ah where we can rewrite ah to be equals to epsilon and we will call this epsilon here the residual vector hence the direct linear transformation algorithm aims to minimize the residual vector and each point correspondence here x i... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_3D_Point_Cloud_Processing.txt | okay shall we start how's everybody doing okay and today we are going to ask promise uh I'm going to talk about 3D Point Cloud processing and we are almost reaching the end of the semester so next week would be the last uh lecture where I'm going to today I'm going to talk about 3D Point Cloud processing and next week ... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_7_Part_1_The_fundamental_and_essential_matrices.txt | hello everyone welcome to the lecture on 3d computer vision and today we are going to look at the fundamental and essential matrices and hopefully by the end of today's lecture you will be able to describe the epipolar geometry between two views and estimate the fundamental or the essential matrix with eight point corr... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Neural_Field_Representations.txt | hello everyone how's everybody doing okay so today we will talk about uh the neural Fields representation it's going to be our last lecture of the semester so hopefully the end of today's lecture you will be able to appreciate what newer Radiance view is and the concept of volume rendering I also talk about the limitat... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_5_Part_2_Camera_models_and_calibration.txt | now let's look at the action of the projective camera on points we'll first consider forward projection and this is just a simple mapping as what we have seen earlier on given a point in 3d space that we represent by capital x over here the the action by the projective camera it's simply the multiplication of the proje... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_5_Part_3_Camera_models_and_calibration.txt | so now finally let's re-look at the projective camera projection matrix that we have seen earlier on that there are altogether 11 degrees of freedom in the projection camera projection matrix which is given by the k with 5 degrees of freedom from the intrinsics this is the intrinsics and then another 3 plus 3 equals to... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_2_Part_1_Rigid_body_motion_and_3D_projective_geometry.txt | hello everyone welcome to the lecture on 3d computer vision and today we are going to talk about rigid body motion and 3d projective geometry hopefully by the end of today's lecture you'll be able to explain the concepts of the special euclidean three group and use it to describe rigid body motions in the 3d space we a... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_8_Part_3_Absolute_pose_estimation_from_points_or_lines.txt | so we saw that the three-point correspondences are needed to solve the camera pose estimation problem in the grenade formulation and although it uses a minimal set of three-point correspondences the disadvantage of this particular formulation is that it ends up with a four degree polynomial which means that it could gi... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_12_Part_2_Generalized_cameras.txt | so unfortunately linear 17-point algorithm that we've seen we will not work for any configurations of the general camera we'll look at the degenerate cases under three configuration in particular the locally central projection axial cameras and the locally central and axial camera configuration now we'll follow the not... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_6_Part_2_Single_view_metrology.txt | so now let's look at two applications of the camera under pure rotation the first application that we are going to look at would be to generate what we call the synthetic views suppose that we are given a source image of a corridor and we know that this corridor contains of multiple planes for example the floor plane t... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_10_Part_4_StructurefromMotion_SfM_and_bundle_adjustment.txt | so if we were to naively make use of the lovable algorithm we will find ourselves quickly running into a cubic complexity at every iteration since we are going to solve for the normal equation given by j transpose j delta equals to minus j transpose epsilon over here and this we have seen that this is equivalent to uh ... |
3D_Computer_Vision_National_University_of_Singapore | 3D_Computer_Vision_Lecture_9_Part_2_Threeview_geometry_from_points_andor_lines.txt | so after defining the trifocal tensor from the incidence relations of three views we'll now move on to see that a fundamental geometric property that is encoded in the trifocal tensor is the homography between the first and the third view or any of the two views that is induced by the line the back projection of the li... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_5_GDA_Naive_Bayes_Stanford_CS229_Machine_Learning_Andrew_Ng_Autumn_2018.txt | Hey, morning everyone. Welcome back. Um, so last week you heard about uh, logistic regression and um, uh, generalized linear models. And it turns out all of the learning algorithms we've been learning about so far are called discriminative learning algorithms, which is one big bucket of learning algorithms. And today u... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_12_Backprop_Improving_Neural_Networks_Stanford_CS229_Machine_Learning_Autumn_2018.txt | Hi everyone. [NOISE] Welcome, welcome to the second lecture on deep learning for CS229. So a quick announcement before we start. There is a Piazza post Number 695 which is the mid-quarter survey for CS229, so fill it in when you have time. Okay. So let's get back to deep learning. So last week together we've seen, uh, ... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_17_MDPs_ValuePolicy_Iteration_Stanford_CS229_Machine_Learning_Andrew_Ng_Autumn2018.txt | Welcome back, everyone. I hope you had a good Thanksgiving. Um, I actually didn't ask, I'm not sure why this chair is here. All right. Let's get rid of this. Um, by the way, not sure- um, thanks, Anand. I'm not sure if you guys are following the news, but in, in reinforcement learning, we chat a lot about robotics, rig... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_16_Independent_Component_Analysis_RL_Stanford_CS229_Machine_Learning_Autumn_2018.txt | Hey everyone. Um, let's get started. So, um, let's see, the plan for the [NOISE] day is, uh, we'll go over the rest of ICA, independent component analysis. In particular, talking about CDFs, cumulative distribution functions [NOISE]. And then, um, actually, uh, let's do that later. [NOISE]. All right. So the plan is we... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_15_EM_Algorithm_Factor_Analysis_Stanford_CS229_Machine_Learning_Andrew_Ng_Autumn2018.txt | All right. Hi everyone, welcome back. Um, so what we'll see today is, um, additional, uh, elaborations on the EM, um, on the expectation maximization algorithm. And so, um, what you see today is, um, go over, you know, quick recap of what we talked about EM on Monday, and then describe how you can monitor if EM is conv... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Stanford_CS229_Machine_Learning_Course_Lecture_1_Andrew_Ng_Autumn_2018.txt | Welcome to CS229 Machine Learning. Uh, some of you know that this class has been taught at Stanford for a long time. And this is often the course that, um, I most look forward to teaching each year because this is where we've helped I think, several generations of Stanford students become experts in machine learning, g... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_13_Debugging_ML_Models_and_Error_Analysis_Stanford_CS229_Machine_Learning_Autumn_2018.txt | Okay. Happy Halloween. Um, what I want to do today is share with you advice for applying machine learning. And, and you've heard me allude to this before, but, um, uh, yeah, I think over the last several weeks, you've learned a lot about the mechanics of how to build different learning algorithms. Everything from linea... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_4_Perceptron_Generalized_Linear_Model_Stanford_CS229_Machine_Learning_Autumn_2018.txt | Couple of announcements, uh, before we get started. So, uh, first of all, PS1 is out. Uh, problem set 1, um, it is due on the 17th. That's two weeks from today. You have, um, exactly two weeks to work on it. You can take up to, um, two or three late days. I think you can take up to, uh, three late days, um. There is, u... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_19_Reward_Model_Linear_Dynamical_System_Stanford_CS229_Machine_Learning_Autumn_2018.txt | Okay, hey everyone. So welcome to the final week of the class. Uh, what I wanna do today, is share with you a few generalizations of, um, reinforcement learning and of MDPs. So you've learned about the basic MDP formulas of state action, state transition probability, discount factor and rewards. Um, the first thing you... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_9_ApproxEstimation_Error_ERM_Stanford_CS229_Machine_Learning_Autumn_2018.txt | Okay. Welcome everyone. So, um, today we'll be going over learning theory. Um, this is, um, this used to be taught in the main lectures in- and in previous offerings. Ah, this year we're gonna cover it as, ah, as a Friday section. Um, however, some of the concepts here are, ah, we gonna be covering today are- are, um, ... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_11_Introduction_to_Neural_Networks_Stanford_CS229_Machine_Learning_Autumn_2018.txt | Hello everyone. Uh, welcome to CS229. Um, today we're going to talk about, um, deep learning and neural networks. Um, we're going to have two lectures on that, one today and a little bit more of it on, ah, Monday. Um, don't hesitate to ask questions during the lecture. Ah, so stop me if you don't understand something a... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_10_Decision_Trees_and_Ensemble_Methods_Stanford_CS229_Machine_Learning_Autumn_2018.txt | Hello everyone. Uh, so my name is Raphael Townshend. I'm one of the head TAs for this class. This week Andrew is traveling and my advisor is still dealing with medical issues. So I'm going to be giving today's lecture. Um, you heard from my wonderful co-head TA Anand a couple of weeks ago. And so today, we're gonna be ... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Stanford_CS229_Machine_Learning_Linear_Regression_and_Gradient_Descent_Lecture_2_Autumn_2018.txt | Morning and welcome back. So what we'll see today in class is the first in-depth discussion of a learning algorithm, linear regression, and in particular, over the next, what, hour and a bit you'll see linear regression, batch and stochastic gradient descent is an algorithm for fitting linear regression models, and the... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_8_Data_Splits_Models_CrossValidation_Stanford_CS229_Machine_Learning_Autumn_2018.txt | Hey guys. Um, let's get started. So over the last several weeks, you've learned a lot about many different learning algorithms from linear regression, to logistic regression, to generalizing models, generative algorithms like GDA and Naive Bayes to most recently support-vector machines. Um, what I'd like to do today is... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | RL_Debugging_and_Diagnostics_Stanford_CS229_Machine_Learning_Andrew_Ng_Lecture_20_Autumn_2018.txt | All right. Hey, everyone, actually started a little bit late. So welcome to the, uh, final lecture of, uh, CS229 of this quarter or I guess, uh, to the home viewers, welcome to the season finale. So what I'd like to do today is, um, wrap up our discussion on reinforcement learning and then, um, and then we'll conclude ... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_18_Continous_State_MDP_Model_Simulation_Stanford_CS229_Machine_Learning_Autumn_2018.txt | All right. Hey, everyone. Welcome back. Um, so let's continue our discussion today of reinforcement learning and MDPs. And specifically, what I hope you learned from today is how to apply reinforcement learning, um, even to continuous state or infinite state MDPs. Um, so we'll talk about discretization, model-based RL,... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_7_Kernels_Stanford_CS229_Machine_Learning_Andrew_Ng_Autumn_2018.txt | All right. Good morning. Um, let's get started. So, ah, today you'll see the Support Vector Machine Algorithm. Um, and this is one of my favorite algorithms because it's very turnkey, right? If you have a classification problem, um, you just, kind of, run it and it more or less works. So in particular, I'll talk a bit ... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_14_ExpectationMaximization_Algorithms_Stanford_CS229_Machine_Learning_Autumn_2018.txt | All right. [NOISE] Um, let's get started. So, um, let's see, logistical reminder, uh the class midterm, um, is this Wednesday and it's 48-hour take-home midterm. Um, and the logistical details you can find, uh, at this Piazza post, okay? So the midterm will start Wednesday evening. You have 48 hours to do it and then s... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Locally_Weighted_Logistic_Regression_Stanford_CS229_Machine_Learning_Lecture_3_Autumn_2018.txt | What I'd like to do today is continue our discussion of supervised learning. So last Wednesday, you saw the linear regression algorithm, uh, including both gradient descent, how to formulate the problem, then gradient descent, and then the normal equations. What I'd like to do today is, um, talk about locally weighted ... |
Stanford_CS229_Machine_Learning_Full_Course_taught_by_Andrew_Ng_Autumn_2018 | Lecture_6_Support_Vector_Machines_Stanford_CS229_Machine_Learning_Andrew_Ng_Autumn_2018.txt | All right. Hey, everyone. Morning and welcome back. Um, so what I'd like to do today is continue our discussion of Naive Bayes and in particular, um, we've described how to use Naive Bayes in a generative learning algorithm, to build a spam classifier that will almost work, right? And, and, and so today you see how Lap... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_10_Matrices_and_Uncertainty.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: DA, thank you. It's an excellent point. You're absolutely right. So I think both statements stand. So Compton's experiments convinced even more of the community. To win the Nobel Prize then or now you have to convince three people in Stockholm, which is hard. To convince ... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_16_Secrecy_and_Security_in_the_Nuclear_Age.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: Welcome to 8.225/ STS.042. Just a quick announcement-- hopefully, you saw the message also through the Canvas course site, as well. We're going to do a similar routine for this coming week as we had done earlier this week, which is to say students' main assignment for Mon... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_25_String_Theory_and_the_Multiverse.txt | [SQUEAKING] [CLICKING] [RUSTLING] [CLICKING] DAVID KAISER: Welcome to our final class session for 8.225 STS042. Kind of hard to believe-- hard for me to believe at least. But we've made it to the end of the semester, this very strange and unusual semester. So I hope you're all doing OK. It's I know it's crunch time, ev... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_2_Faraday_Thomson_and_Maxwell_Lines_of_Force_in_the_Ether.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: OK. Welcome everyone. Welcome back to 8225, which is also STS 042, Physics in the 20th Century. Let me start by asking just quickly if there are any logistical questions, any kind of course structure or other questions like that we can try to clear up quickly. And then we... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_6_Reception_of_Special_Relativity.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: So today, we are talking about the reception of Einstein's work from 1905 on the electrodynamics of moving bodies. So we'll talk about the reception of what we have come to call the Special Theory of Relativity. So as a quick reminder, we're going to-- sorry, excuse me. T... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_9_Rethinking_Matter.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: So for today, we're going to continue this story, or this unit, of what we began thinking about together last time, a body of work, a set of ideas that came to be grouped together under this title old quantum theory. And as I mentioned last time, that only makes sense onc... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_7_A_Political_History_of_Gravity.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: Our last main lecture, at least for quite a while in this class, on our relativity subunit. And today, I want to talk about a project that I've been working on for a long time, probably since-- not since before you were born, most of you, but since many of you were probab... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_19_Counterculture_and_Physics.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: OK. So for today, it's kind of fortuitous given, again, all the sources of let's just say swirling uncertainty in the wider world. Maybe it's a lucky timing that the lecture for today is on maybe a little bit lighter material. So we can wrap up our unit on physics, and th... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Optional_Discussion_The_Day_After_Trinity.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: Welcome, everyone. This optional informal discussion for 8.225 STS.042, as hopefully you all know, we're just going to take our time, just very informally chat about really anything that's on your mind around the most recent material, but in particular things that might h... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_14_Radar_and_the_Manhattan_Project.txt | [AUDIO LOGO] DAVID KAISER: OK. Let me start. I'll share a screen, and we can start today's material. So on Monday's class, we talked a bit about some of the kinds of work that was going on, largely within Germany or at least other parts of Europe, but a lot of it right within Germany itself around topics like the disco... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_18_Coldwar_Classroom_Teaching_Quantum_Theory_in_Postwar_American_Physics.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: So today, we're really kind of making a transition in the material from the overtly war time focus we've had for a couple of classes in a row. And now we'll start moving toward the last part of the semester, asking about some implications or some effects from that very dr... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_24_The_Big_Bang_Cosmic_Inflation_and_the_Latest_Observations.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: So today, we're going to pick up where we were on the most recent classes. So in the last few class sessions, we were looking at some changes in high energy particle theory with the development of things like quantum chromodynamics and so on and ways to try to make sense ... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_4_Waves_in_the_Ether.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: OK, so today we're going to be talking about waves in the ether-- a great topic, I think. Welcome back to 8225 STS 042, Physics in the 20th Century. To Maxwell and his really quite extraordinary work from the 1860s where he unites, as we've seen a few times, really, the s... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_21_Teaching_Feynmans_Tools_The_Dispersion_of_Feynman_Diagrams_in_Postwar_Physics.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: So today we're going to continue the story that we were looking at in on Monday's class, some of these early developments after the end of the Second World War to grapple with quantum field theory, trying to piece together a quantized treatment of things like the Maxwell ... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_13_Physics_under_Hitler.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: Today we're starting this new unit for the class. So the first main unit-- we had a kind of warm-up unit of a kind of 19th-century legacy, as you probably remember. And then we spent a good chunk of time right up until the previous class session on looking at physics real... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_22_Quarks_QCD_and_the_Rise_of_the_Standard_Model.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: Today, we're now sort of in the middle of our unit of our last main unit on a kind of quarks to the cosmos, trends in high energy physics, astrophysics, and gravitation and cosmology. And so today, we'll be picking up part of the kind of threads that we were looking at be... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_8_Rethinking_Light.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: We're going to launch in today on the first part of our new kind of material, new set of material on quantum theory. So we talked a bit about the road toward relativity in the first few class sessions. We're going to pivot now and talk about this other amazing edifice of ... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_20_A_Conservative_Revolution_QED_and_Renormalization.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: With today's class, we're now transitioning into the last main kind of unit thematically for the course. And so the last main section is trying to follow one set of threads, a very set of ideas and developments weaving from the end of the Second World War toward more rece... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Optional_Discussion_Containment.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: So as I think you know, today, again, we're going to have just an informal optional discussion. You've all come. So I guess you've exercised your option. But we'll be talking today in 8225 SJS 042 about some of the themes raised by that second documentary film that hopefu... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_1_Introduction_to_Einstein_Oppenheimer_Feynman_Physics_in_the_20th_Century.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: We'll go ahead and get started. Hello, everyone. Welcome to 8225, which is also STS.042-- Physics in the 20th century. My name is David Kaiser. Today's class is going to be a little shorter than average. I just wanted to go over a kind of quick introduction for the course... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_23_The_Birth_of_Particle_Cosmology.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: So today we're going to be talking about the kind of invention or the hybridization of a whole new subfield within physics that now is often called particle cosmology. It happens to be the field where I spend a lot of my time. I think it's just fantastic. But it's actuall... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_12_Quantum_Weirdness_Schrödingers_Cat_EPR_and_Bells_Theorem.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: But if there are no immediately pressing questions on the assignments, then I will jump in. We can start talking some more about quantum weirdness. We can continue our discussion from yesterday, which was clearly insufficiently shocking for you. You were all very quantum ... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_3_Worldviews_Wranglers_and_the_Making_of_Theoretical_Physicists.txt | [SQUEAKING] [RUSTLING] [CLICKING] DAVID KAISER: Hi, everyone. Welcome back to 8225 STS 042. Any questions on, again, any kind of logistical stuff? If not, then I think we'll jump right in. So I'm going to go ahead and share screen. I'm eager to get into this next set of material together. So hopefully, you now see my s... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_5_Einstein_and_Experiment.txt | DAVID KAISER: So today, at long, long last, we meet this fella named Albert Einstein. We're going to talk a bit more about how he was approaching some of these questions in the early years of the 20th century. So as usual, today's class has three main parts. We're going to look at Einstein leading up to this year of 19... |
MIT_STS042J_Einstein_Oppenheimer_Feynman_Physics_In_The_20th_Century_Fall_2020 | Lecture_11_Waves_and_Probabilities.txt | [SQUEAKING, RUSTLING, CLICKING] DAVID KAISER: If there are no immediate questions, that's good. And if so, then I'll go ahead and share screen. And we'll launch into our continuing adventure with quantum theory, which is, frankly, one of my favorite adventures ever, speaking just for myself. OK, so you will hopefully r... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 13_Classical_Statistical_Mechanics_Part_2.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: So we've been won... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 3_Thermodynamics_Part_3.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: So what we've bee... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 4_Thermodynamics_Part_4.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: Let's start. Any ... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 7_Kinetic_Theory_of_Gases_Part_1.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu PROFESSOR: So we started by t... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 23_Ideal_Quantum_Gases_Part_2.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: So we've been dev... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 22_Ideal_Quantum_Gases_Part_1.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality educational resources for free. To make a donation, or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: Particles in qua... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 14_Classical_Statistical_Mechanics_Part_3.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. MEHRAN KARDAR: You decide at... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 21_Quantum_Statistical_Mechanics_Part_2.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality educational resources for free. To make a donation, or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: So last lecture,... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 11_Kinetic_Theory_of_Gases_Part_5.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: OK. Let's start. ... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 12_Classical_Statistical_Mechanics_Part_1.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: So the question i... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 8_Kinetic_Theory_of_Gases_Part_2.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: Let's say that I ... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 1_Thermodynamics_Part_1.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation, or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: This is 8.333 St... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 5_Probability_Part_1.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: We established th... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 6_Probability_Part_2.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: We'll begin this ... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 19_Interacting_Particles_Part_5.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality educational resources for free. To make a donation, or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: Begin with a new... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 15_Interacting_Particles_Part_1.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: OK, let's start. ... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 20_Quantum_Statistical_Mechanics_Part_1.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: OK. Let's start. ... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 26_Ideal_Quantum_Gases_Part_5.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: So last time we s... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 9_Kinetic_Theory_of_Gases_Part_3.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: OK. Let's start. ... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 10_Kinetic_Theory_of_Gases_Part_4.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation, or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: Let's start. Are... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 24_Ideal_Quantum_Gases_Part_3.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: We looked at the ... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 16_Interacting_Particles_Part_2.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality educational resources for free. To make a donation, or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: OK, let's start.... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 2_Thermodynamics_Part_2.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: So I'll briefly r... |
MIT_8333_Statistical_Mechanics_I_Statistical_Mechanics_of_Particles_Fall_2013 | 18_Interacting_Particles_Part_4.txt | The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: So today's topic ... |
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