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03:33
Video 9: All There Is to Unlearn - MIT Innovation Teams
04:52
Video 1: Congratulations, You Are a Terrible Robot - MIT Innovation Teams
05:09
Video 5: Prototype Problems Not Products - MIT Innovation Teams
04:53
Video 3: Technology Isn’t What You Think It Is - MIT Innovation Teams
01:05
Introduction: How to Move Technologies from Lab to Impact - MIT Innovation Teams
06:57
Video 2: All Great Ideas Start Out Bad - MIT Innovation Teams
03:02
Video 10: Go Combinatorial - MIT Innovation Teams
05:58
Video 7: Lessons From a Real Garage - MIT Innovation Teams
02:49
Video 6: Don’t Start Small, Start With What You Have - MIT Innovation Teams
03:55
Video 4: Problems Are Not Catastrophes - MIT Innovation Teams
03:27
Video 8: Are You Sure That’s a Risk? - MIT Innovation Teams
57:45
07. EdTech Before the Internet
01:13:08
09. Massive Open Online Courses (MOOCs)
01:17:09
10. Intelligent Tutors
01:06:54
14. Learning Games
01:11:21
16. Start-Up and the Curse of the Familiar
01:14:13
20. The Toxic Power of Data and Experiment
01:16:07
12. Interest-Driven Learning
01:09:26
03. How People Learn: Situated Learning
56:02
02. How People Learn: Cognitive Load Theory
01:06:26
18. Trap of Routine Assessment
01:09:10
Lecture 9: Strategy, Skill, and Chance, Part 2
47:21
Lecture 2: Iterative Design
01:12:14
Lecture 12: Knowing Your Players
01:22:06
Lecture 19: Abstraction and Simulation
33:23
Lecture 4: Prototyping
01:04:41
Lecture 33: Ethics in Games
01:26:22
Lecture 32: Live Action Games
48:20
Lecture 31: Assignment 3 Brainstorming and Team Formation
01:26:06
Lecture 30: Clients for Assignment 3 Visit
01:20:01
Lecture 27: Games as Art
01:22:33
Lecture 21: Games as Teaching Tools
01:24:31
Lecture 25: Fiction and Stories in Games
41:56
Lecture 23: Creating Sequels
58:57
Lecture 20: What is Intellectual Property?
01:15:18
Lecture 18: Puzzles
01:30:07
Lecture 8: Strategy, Skill, and Chance, Part 1
01:00:09
Lecture 6: The Social Function of Games
48:43
Lecture 3: Where Do Game Ideas Come From?
01:18:24
Lecture 5: Assignment 1 Brainstorming and Team Formation
04:09
MIT Economist Explains the NFL’s Legal Cartel
01:21:49
Lecture 11: Extreme and Intermediate Value Theorem; Metric Spaces
01:19:53
Lecture 18: Integrable Functions
01:22:00
Lecture 23: Existence & Uniqueness for ODEs: Picard–Lindelöf Theorem
01:21:14
Lecture 8: Convergence Tests for Series; Power Series
01:21:56
Lecture 9: Limsup and Liminf; Power Series; Continuous Functions; Exponential Function
01:06:51
Review for the 18.100B Real Analysis Final Exam
01:18:52
Lecture 4: Sequences; Convergence
01:21:03
Lecture 22: Differentiating and Integrating Power Series; Ordinary Differential Equations (ODEs)
01:19:48
Lecture 3: How to Write a Proof; Archimedean Property
01:21:48
Lecture 17: Taylor Polynomials; Remainder Term; Riemann Integrals
01:05:56
Lecture 1: Introduction to Real Numbers
01:19:41
Lecture 15: Derivatives; Laws for Differentiation
01:22:48
Lecture 10: Continuous Functions; Exponential Function (cont.)
01:18:31
Lecture 5: Monotone Convergence Theorem
01:18:11
Lecture 20: Pointwise Convergence; Uniform Convergence
01:17:08
Lecture 6: Cauchy Convergence Theorem
01:16:25
Review for 18.100B Real Analysis Midterm
01:20:28
Lecture 19: Fundamental Theorem of Calculus
01:18:10
Lecture 16: Rolle’s Theorem; Mean Theorem; L’Hôpital’s Rule; Taylor Expansion