SCCI Digital Library and Forum

MIT

S# Lecture Course Institute Instructor Discipline
1626
21. Cryptography: Hash Functions (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
1627
R7. Network Flow and 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
1628
R8. NP-Complete Problems (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
1629
22. Cryptography: Encryption (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
1630
23. Cache-Oblivious Algorithms: Medians & Matrices (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
1631
R9. Approximation Algorithms: Traveling Salesman Problem (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
1632
24. Cache-Oblivious Algorithms: Searching &  (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
1633
3. Divide & Conquer: FFT (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
1634
4. Divide & Conquer: van Emde Boas 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
1635
5. Amortization: Amortized Analysis (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
1636
6. Randomization: Matrix Multiply, 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
1637
7. Randomization: Skip Lists (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
1638
8. Randomization: Universal & Perfect Hashing (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
1639
9. Augmentation: Range 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
1640
R1. Matrix Multiplication and the Master Theorem (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
1641
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
1642
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
1643
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
1644
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
1645
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
1646
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
1647
R7. Network Flow and 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
1648
R8. NP-Complete Problems (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
1649
R9. Approximation Algorithms: Traveling Salesman Problem (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
1650
Back-propagation through time – backwards pass (M-I-T)
Introduction to Machine Learning (Fall 2020) (M-I-T) MIT Prof. Leslie Kaelbling Applied Sciences