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 | | time | views | |
 | 18. Rigid Rotor II. Derivation by Commutation Rules | 54:10 | 90 | |
 | 24. Molecular Orbital Theory I; Variational Principle and Matrix Mechanics | 52:11 | 154 | |
 | 16. Non-Degenerate Perturbation Theory II: HO using a,a† | 52:47 | 111 | |
 | 27. Non-Degenerate Perturbation Theory III | 52:36 | 104 | |
 | 15. Non-Degenerate Perturbation Theory I | 52:80 | 157 | |
 | 30. Time-Dependent Perturbation Theory I: H is Time-Independent, Zewail Wavepacket. | 52:29 | 232 | |
 | 4. Classical Wave Equation and Separation of Variables | 49:54 | 647 | |
 | 35. Delta-Functions, Eigen-Functions of X, Discrete Variable Representation | 48:42 | 121 | |
 | 14. From Hij Integrals to H Matrices II | 53:54 | 91 | |
 | 6. 3-D Box and QM Separation of Variables | 49:51 | 294 | |
 | 33. Electronic Spectroscopy: Franck-Condon | 51:58 | 143 | |
 | 12. Catch Up and Review & Postulates | 55:16 | 115 | |
 | 1. Quantum Mechanics—Historical Background, Photoelectric Effect, Compton Scattering | 45:25 | 16,060 | |
 | Making Something From Nothing: Intentional Public Disruptions, Art, and Social Responsibility | 17:47 | 2,377 | |
 | Double Taking and Troublemaking: Socially Engaged Practice Enabling Difficult Conversations II | 23:26 | 548 | |
 | Making Something from Nothing: Community, Water, Pedagogy, and Learning | 25:57 | 457 | |
 | When Curriculum Becomes Art Practice: Educational Experience as Intentionally Disruptive Pedagogy | 27:52 | 258 | |
 | When Curriculum Becomes Art Practice: Art Education as Engagement with the World | 36:55 | 303 | |
 | When Curriculum Becomes Art Practice: Performing Explorations of Context and Meaning Making | 11:47 | 121 | |
 | Double Taking and Troublemaking: Reflecting and Disrupting | 16:15 | 207 | |
 | Double Taking and Troublemaking: Socially Engaged Practice Enabling Difficult Conversations I | 22:29 | 120 | |
 | When Curriculum Becomes Art Practice: Conventional Practice and Conceptual Explorations | 8:37 | 137 | |
 | Making Something from Nothing: Appropriate Technology as Intentionally Disruptive Responsibility | 23:17 | 8,260 | |
 | 5.2.12 An Introduction to Text Analytics - Video 7: Predicting Sentiment | 6:42 | 2,363 | |
 | 5.3.3 How IBM Built a Jeopardy Champion - Video 2: The Game of Jeopardy | 2:57 | 479 | |
 | 7.3.3 Visualization for Law and Order - Video 2: Visualizing Crime Over Time | 4:17 | 387 | |
 | 4.3.1 Healthcare Costs - Video 1: The Story of D2Hawkeye | 4:40 | 296 | |
 | 2.3.9 Sports Analytics - Video 5: Winning the World Series | 1:56 | 338 | |
 | 3.2.10 Introduction to Logistical Regression - Video 6: ROC Curves | 7:59 | 448 | |
 | 1.2.6 The Analytics Edge - Video 6: This Class | 1:14 | 1,184 | |
 | 2.2.13 An Introduction to Linear Regression - Video 7: Making Predictions | 6:17 | 560 | |
 | 1.3.10 Working with Data - Video 5: Data Analysis - Summary Statistics and Scatterplots | 7:56 | 1,070 | |
 | 7.4.5 R7. Visualization - Video 4: A Better Visualization | 1:36 | 157 | |
 | 7.1.1 Welcome to Unit 7 - Visualizing the World: An Introduction to Visualization | 0:46 | 490 | |
 | 9.4.3 R9. Operating Room Scheduling - Video 2: An Optimization Model | 4:24 | 127 | |
 | 4.2.5 An Introduction to Trees - Video 3: Splitting and Predictions | 2:40 | 169 | |
 | 1.2.1 The Analytics Edge - Video 1: Introduction to The Analytics Edge | 4:50 | 8,634 | |
 | 8.2.8 An Introduction to Linear Optimization - Video 5: Visualizing the Problem | 2:42 | 342 | |
 | 1.3.4 Working with Data - Video 2: Getting Started in R | 8:90 | 1,504 | |
 | 3.3.11 The Framingham Heart Study - Video 6: Overall Impact | 4:60 | 91 | |
 | 2.4.2 R2. Moneyball in the NBA - Video 1: The Data | 4:22 | 264 | |
 | 4.3.5 Healthcare Costs - Video 3: The Variables | 5:22 | 152 | |
 | 1.2.5 The Analytics Edge - Video 5: Example 4 - D2Hawkeye | 2:30 | 1,233 | |
 | 2.3.3 Sports Analytics - Video 2: Making It to the Playoffs | 7:25 | 254 | |
 | 4.3.3 Healthcare Costs - Video 2: Claims Data | 4:60 | 82 | |
 | 8.2.4 An Introduction to Linear Optimization - Video 3: The Problem Formulation | 3:46 | 97 | |
 | 5.2.4 An Introduction to Text Analytics - Video 3: Creating the Dataset | 4:26 | 80 | |
 | 1.2.2 The Analytics Edge - Video 2: Example 1 - IBM Watson | 6:38 | 3,210 | |
 | 4.2.3 An Introduction to Trees - Video 2: CART | 7:30 | 106 | |
 | 9.4.4 R9. Operating Room Scheduling - Video 3: Solving the Problem | 15:21 | 123 | |
 | 8.2.10 An Introduction to Linear Optimization - Video 6: Sensitivity Analysis | 6:34 | 193 | |
 | 8.4.4 R8. Google AdWords - Video 3: Prices and Queries | 2:53 | 82 | |
 | 1.4.2 R1. Understanding Food - Video 1: The Importance of Food and Nutrition | 2:43 | 96 | |
 | 7.3.5 Visualization for Law and Order - Video 3: A Line Plot | 8:80 | 75 | |
 | 3.4.4 R3. Election Forecasting - Video 3: A Sophisticated Baseline Method | 5:46 | 81 | |
 | 3.2.4 Introduction to Logistical Regression - Video 3: Logistic Regression | 4:30 | 178 | |
 | 6.2.5 An Introduction to Clustering - Video 3: Movie Data and Clustering | 3:26 | 84 | |
 | 4.3.13 Healthcare Costs - Video 7: Baseline Method and Penalty Matrix | 5:20 | 51 | |
 | 9.2.5 Sports Scheduling - Video 3: Solving the Problem | 7:52 | 79 | |
 | 4.4.1 Welcome to Recitation 4 - Location, Location, Location: Regression Trees for Housing Data | 0:20 | 83 | |
 | 2.2.11 An Introduction to Linear Regression - Video 6: Correlation and Multicollinearity | 7:26 | 222 | |
 | 4.4.3 R4. Regression Trees- Video 2: The Data | 9:26 | 79 | |
 | 6.2.9 An Introduction to Clustering - Video 5: Hierarchical Clustering | 4:13 | 71 | |
 | 6.3.5 Predictive Diagnosis - Video 3: Predicting Heart Attacks Using Clustering | 5:21 | 45 | |
 | 1.3.2 Working with Data - Video 1: History of R | 3:19 | 1,367 | |
 | 7.4.1 Welcome to Recitation 7 - The Good, the Bad, and the Ugly in Visualization | 0:27 | 60 | |
 | 1.4.3 R1. Understanding Food - Video 2: Working with Data in R | 5:00 | 25 | |
 | 8.3.5 Radiation Therapy - Video 3: Solving the Problem | 8:14 | 43 | |
 | 7.2.9 An Introduction to Visualization - Video 5: Advanced Scatterplots Using ggplot | 7:14 | 82 | |
 | 8.1.1 Welcome to Unit 8 - Airline Revenue Management: An Introduction to Linear Optimization | 0:35 | 106 | |
 | 6.2.1 An Introduction to Clustering - Video 1: Introduction to Netflix | 4:29 | 67 | |
 | 8.3.11 Radiation Therapy - Video 6: The Analytics Edge | 3:12 | 32 | |
 | 4.3.9 Healthcare Costs - Video 5: CART to Predict Cost | 3:56 | 71 | |
 | 2.3.2 Sports Analytics - Video 1: The Story of Moneyball | 7:30 | 280 | |
 | 4.3.11 Healthcare Costs - Video 6: Claims Data in R | 5:46 | 65 | |
 | 5.3.7 How IBM Built a Jeopardy Champion - Video 4: How Watson Works - Steps 1 and 2 | 3:43 | 45 | |
 | 1.2.3 The Analytics Edge - Video 3: Example 2 - eHarmony | 1:51 | 2,005 | |
 | 1.4.5 R1. Understanding Food - Video 4: Creating Plots in R | 9:18 | 7 | |
 | 4.2.11 An Introduction to Trees - Video 6: Cross-Validation | 10:47 | 62 | |
 | 6.4.3 R6. Segmenting Images - Video 2: Clustering Pixels | 7:42 | 44 | |
 | 4.4.5 R4. Regression Trees - Video 4: Regression Trees | 6:36 | 80 | |
 | 8.2.12 An Introduction to Linear Optimization - Video 7: Connecting Flights | 8:18 | 52 | |
 | 2.4.5 R2. Moneyball in the NBA - Video 4: Making Predictions | 3:34 | 79 | |
 | 5.4.3 R5. Predictive Coding - Video 2: The Data | 3:57 | 44 | |
 | 8.2.2 An Introduction to Linear Optimization - Video 2: A Single Flight | 2:27 | 57 | |
 | 5.2.8 An Introduction to Text Analytics - Video 5: Pre-Processing in R | 7:59 | 58 | |
 | 5.2.10 An Introduction to Text Analytics - Video 6: Bag of Words in R | 6:47 | 62 | |
 | 1.1.1 Welcome to Unit 1: An Introduction to Analytics | 0:44 | 26,072 | |
 | 9.3.7 eHarmony - Video 4: The Analytics Edge | 1:24 | 38 | |
 | 3.2.6 Introduction to Logistical Regression - Video 4: Logistic Regression in R | 12:10 | 118 | |
 | 8.3.3 Radiation Therapy - Video 2: An Optimization Problem | 5:56 | 36 | |
 | 3.2.8 Introduction to Logistical Regression - Video 5: Thresholding | 8:30 | 106 | |
 | 9.4.2 R9. Operating Room Scheduling - Video 1: The Problem | 6:50 | 46 | |
 | 6.2.11 An Introduction to Clustering - Video 6: Getting the Data | 6:47 | 29 | |
 | 8.4.5 R8. Google AdWords - Video 4: Modeling the Problem | 4:55 | 45 | |
 | 5.1.1 Welcome to Unit 5 - Turning Tweets into Knowledge: An Introduction to Text Analytics | 0:38 | 146 | |
 | 8.4.6 R8. Google AdWords - Video 5: Solving the Problem | 10:26 | 51 | |
 | 4.2.13 An Introduction to Trees - Video 7: The Model v. The Experts | 5:36 | 51 | |
 | 8.2.14 An Introduction to Linear Optimization - Video 8: The Edge of Revenue Management | 2:50 | 28 | |
 | 6.4.8 R6. Segmenting Images - Video 6: Detecting Tumors | 7:27 | 51 | |
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