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8:41
2020/21_T2 mid-term exam q17byMok
9:55
2020/21_T2 mid-term exam q16 byNiuYudong
12:25
2020/21_T2 mid-term exam q5 byVivien
5:43
2020/21_T2 mid-term exam q15 byYangJingFeng
15:10
(04) Decomposition Part 2c: Sorting In-class Exercises
11:29
(04) Decomposition Part 2b: Mergesort
52:56
(00) Introduction
12:00
(00) Course Structure
8:11
(13) G1 Deep Learning and Neural Networks by Daryl Ang and Wayne Loh
11:37
(13) G2 Dynamic Programming and Memoization by Khu Ghiem Teck and Fabian Toh
14:51
(09) Tutorial Heuristics Q5
8:17
(13) G3 Graph Coloring by Jiang Hanyu and Bu Wende
4:23
(09) Tutorial Heuristics Q4
7:43
(09) Tutorial Heuristics Q3
16:28
(09) Tutorial Heuristics Q2
6:39
(09) Tutorial Heuristics Q1
25:50
(10) Limits of Computation
8:12
(08) Tutorial Graphs Q5
9:53
(08) Tutorial Graphs Q4
9:13
(08) Tutorial Graphs Q3
5:35
(08) Tutorial Graphs Q1
16:28
(09) Heuristics Part 3 Local Search
25:07
(09) Heuristics Part 1 Travelling Salesman Problem
17:29
(09) Heuristics Part 2a Greedy Algorithms
7:32
(09) Heuristics Part 2b Greedy Exercises
8:24
(11) G3 Reddit Ranking Algorithm by Mark Tan
14:54
(11) G2 Monte Carlo Tree Search by Lee Wei Yuan and Lim Huan Sen
13:48
(11) G1 Link Analysis by Yunying Kaelyn and Kyna Lau
10:36
(10) G3 Collaborative FIltering Algorithm by Patrick Tan and Sam Zhi June
15:39
(10) G2 Huffman Coding by Benjamin Ng
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