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 | Ses. 3-6: Six Sigma Basics | 35:58 | 0 | |
 | Ses. 2-4: Improving the Enterprise, Healthcare Option | 34:10 | 0 | |
 | Ses. 2-1: Lean healthcare simulation (covers 2-1, 2-3, and 2-5) | 17:29 | 0 | |
 | Ses. 1-5: People: The Heart of Lean | 48:52 | 0 | |
 | Ses. 1-2: The Start of Your Lean Journey | 1:00:49 | 0 | |
 | Debrief Session for First Draft of Sample Paper #1 | 36:50 | 0 | |
 | Course Introduction | 31:32 | 0 | |
 | Writing Workshop | 1:21:22 | 0 | |
 | Practice Presentation for Sample Paper #1 | 1:11:16 | 0 | |
 | Final Presentation for Sample Paper #1 | 38:46 | 0 | |
 | Debrief Session for First Draft of Sample Paper #2 | 19:14 | 0 | |
 | Presentation Workshop | 48:37 | 0 | |
 | 23. Stem Cells | 46:19 | 0 | |
 | 21. Development 1 | 46:29 | 0 | |
 | 29. Cancer I | 46:31 | 0 | |
 | 26. Neurobiology 3 | 50:10 | 0 | |
 | 22. Development 2 | 46:28 | 0 | |
 | 25. Neurobiology 2 | 46:21 | 0 | |
 | 30. Cancer 2 | 50:24 | 0 | |
 | 31. Cancer 3 | 50:36 | 0 | |
 | 24. Neurobiology 1 | 51:27 | 0 | |
 | 23. Model Merging, Cross-Modal Coupling, Course Summary | 49:31 | 0 | es en una lista |
 | 8. Constraints: Search, Domain Reduction | 45:24 | 0 | es en una lista |
 | 4. Search: Depth-First, Hill Climbing, Beam | 48:42 | 0 | es en una lista |
 | 10. Introduction to Learning, Nearest Neighbors | 49:56 | 0 | es en una lista |
 | 19. Architectures: GPS, SOAR, Subsumption, Society of Mind | 49:60 | 0 | es en una lista |
 | Mega-R5. Support Vector Machines | 49:53 | 0 | es en una lista |
 | Mega-R2. Basic Search, Optimal Search | 51:56 | 0 | es en una lista |
 | 18. Representations: Classes, Trajectories, Transitions | 48:58 | 0 | es en una lista |
 | 13. Learning: Genetic Algorithms | 47:16 | 0 | es en una lista |
 | 14. Learning: Sparse Spaces, Phonology | 47:49 | 0 | es en una lista |
 | 1. Introduction and Scope | 47:19 | 0 | es en una lista |
 | Mega-R7. Near Misses, Arch Learning | 33:50 | 0 | es en una lista |
 | 2. Reasoning: Goal Trees and Problem Solving | 45:58 | 0 | es en una lista |
 | 11. Learning: Identification Trees, Disorder | 49:37 | 0 | es en una lista |
 | 12. Learning: Neural Nets, Back Propagation | 47:54 | 0 | es en una lista |
 | 7. Constraints: Interpreting Line Drawings | 49:13 | 0 | es en una lista |
 | 3. Reasoning: Goal Trees and Rule-Based Expert Systems | 49:56 | 0 | es en una lista |
 | 22. Probabilistic Inference II | 48:46 | 0 | es en una lista |
 | 9. Constraints: Visual Object Recognition | 51:32 | 0 | es en una lista |
 | 21. Probabilistic Inference I | 48:30 | 0 | es en una lista |
 | 15. Learning: Near Misses, Felicity Conditions | 46:54 | 0 | es en una lista |
 | Mega-R3. Games, Minimax, Alpha-Beta | 50:56 | 0 | es en una lista |
 | 17. Learning: Boosting | 51:40 | 0 | es en una lista |
 | 5. Search: Optimal, Branch and Bound, A* | 48:37 | 0 | es en una lista |
 | Mega-R1. Rule-Based Systems | 46:58 | 0 | es en una lista |
 | Mega-R6. Boosting | 49:55 | 0 | es en una lista |
 | 6. Search: Games, Minimax, and Alpha-Beta | 48:17 | 0 | es en una lista |
 | Gradient | 17:34 | 0 | es en una lista |
 | Kinetic Theory | 10:53 | 0 | es en una lista |
 | Enzyme Kinetics | 16:56 | 0 | es en una lista |
 | VSEPR | 12:12 | 0 | es en una lista |
 | Electric Potential | 12:44 | 0 | es en una lista |
 | Flux and Gauss' Law | 17:57 | 0 | es en una lista |
 | Strategic Communication | 18:42 | 0 | es en una lista |
 | Vectors | 15:35 | 0 | es en una lista |
 | Entropy | 13:33 | 0 | es en una lista |
 | Torque | 20:11 | 0 | es en una lista |
 | Models of Light | 14:15 | 0 | es en una lista |
 | 2. The Solar Resource | 1:15:10 | 0 | es en una lista |
 | 16. Solar Cell Characterization | 1:00:28 | 0 | es en una lista |
 | 13. Thin Films: Material Choices & Manufacturing, Part II | 35:28 | 0 | es en una lista |
 | 10. Wafer Silicon-Based Solar Cells, Part I | 1:13:36 | 0 | es en una lista |
 | Teaching 4.241J/11.330J: Embracing Complexities of Urbanism | 3:30 | 0 | |
 | 1. Introduction | 1:09:40 | 0 | |
 | 2. Normative Theory I: The City as Supernatural | 1:26:18 | 0 | |
 | 3. Normative Theory II: The City as Machine | 1:24:24 | 0 | |
 | 4. Normative Theory III: The City as Organism | 1:35:49 | 0 | |
 | 5. Descriptive and Functional Theory | 1:07:30 | 0 | |
 | 6. Dimensions, Patterns, Agreements, Structure, and Syntax | 1:26:11 | 0 | |
 | 7. The Early Cities of Capitalism | 1:15:58 | 0 | |
 | 8. Transformations I: London | 1:22:46 | 0 | |
 | 9. Transformations II: Paris | 1:11:24 | 0 | |
 | 10. Transformations III: Vienna and Barcelona | 1:27:28 | 0 | |
 | 11. Transformations IV: Chicago | 1:23:31 | 0 | |
 | 12. Transformations V: Panopticism, St. Petersburg and Berlin | 1:18:57 | 0 | |
 | 13. Utopianism as Social Reform and Built Form | 1:22:55 | 0 | |
 | 14. 20th Century Realizations: Russia and Great Britain | 1:21:18 | 0 | |
 | 15. City Form and Process | 1:24:50 | 0 | |
 | 16. Spatial & Social Structure I: Theory | 1:19:30 | 0 | |
 | 17. Spatial & Social Structure II: Bipolarity | 1:20:19 | 0 | |
 | 18. Spatial & Social Structure III: Colony & Post-colony | 1:24:48 | 0 | |
 | 19. Form Models I: Modern and Post-modern Urbanism | 1:14:30 | 0 | |
 | 20. Form Models II: Open-endedness and Prophecy | 1:28:59 | 0 | |
 | 21. Form Models III and IV: Rationality and Memory | 2:09:40 | 0 | |
 | 22. Cases I: Public and Private Domains | 1:05:22 | 0 | |
 | 23. Cases II: Suburbs and Periphery | 49:45 | 0 | |
 | 24. Cases III: Post-urbanism and Resource Conservation | 1:23:23 | 0 | |
 | 26. Conclusion: Towards a Theory of City Form | 1:37:47 | 0 | |
 | 25. Cases IV: Hyper and Mega-urbanism | 1:12:21 | 0 | |
 | 1. Introduction to Effective Field Theory (EFT) | 1:19:40 | 0 | es en una lista |
 | 2. Dimensional Power Counting | 1:25:19 | 0 | es en una lista |
 | 3. Field Redefinitions | 1:24:41 | 0 | es en una lista |
 | 4. Matching and Decoupling | 1:21:59 | 0 | es en una lista |
 | 6. Chiral Lagrangians | 1:19:70 | 0 | es en una lista |
 | 7. Chiral Loops | 1:26:28 | 0 | es en una lista |
 | 8. Heavy Quark Effective Theory (HQET) | 1:19:15 | 0 | es en una lista |
 | 9. HQET Matching & Power Corrections | 1:20:23 | 0 | es en una lista |
 | 10. HQET Examples | 1:23:11 | 0 | es en una lista |
 | 11. Renormalons | 1:22:33 | 0 | es en una lista |
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