SCCI Digital Library and Forum

MIT

S# Lecture Course Institute Instructor Discipline
1601
Introduction to Human-Centered Artificial Intelligence (AI) (MIT)
Deep Learning (MIT) MIT Lex Fridman Applied Sciences
1602
Recurrent Neural Networks for Steering Through Time (MIT)
Deep Learning (MIT) MIT Lex Fridman Applied Sciences
1603
State of the Art (MIT)
Deep Learning (MIT) MIT Lex Fridman Applied Sciences
1604
 Intro to Machine Learning (in 360/VR) (MIT)
Deep Learning (MIT) MIT Lex Fridman Applied Sciences
1605
 Introduction to Deep Learning and Self-Driving Cars (MIT)
Deep Learning (MIT) MIT Lex Fridman Applied Sciences
1606
 Introduction to Deep Reinforcement Learning (Deep RL) (MIT)
Deep Learning (MIT) MIT Lex Fridman Applied Sciences
1607
1. Course Overview, Interval Scheduling (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1608
10. Dynamic Programming: Advanced DP (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1609
11. Dynamic Programming: All-Pairs Shortest Paths (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1610
12. Greedy Algorithms: Minimum Spanning Tree (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1611
13. Incremental Improvement: Max Flow, Min Cut (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1612
14. Incremental Improvement: Matching (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1613
15. Linear Programming: LP, reductions, Simplex (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1614
16. Complexity: P, NP, NP-completeness, Reductions (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1615
R10. Distributed Algorithms (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1616
R11. Cryptography: More Primitives (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1617
17. Complexity: Approximation Algorithms (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1618
18. Complexity: Fixed-Parameter Algorithms (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1619
R2. 2-3 Trees and B-Trees (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1620
19. Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1621
R4. Randomized Select and Randomized Quicksort (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1622
2. Divide & Conquer: Convex Hull, Median Finding (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1623
R5. Dynamic Programming (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1624
20. Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences
1625
R6. Greedy Algorithms (M-I-T)
Design and Analysis of Algorithms (M-I-T) MIT Prof. Dr. Erik Demaine, Prof. Dr. Srini Devadas, Prof. Dr. Nancy Lynch Applied Sciences