This course presents fundamental techniques for designing efficient computer algorithms, proving their correctness, and analyzing their complexity. General topics include graph algorithms, basic algorithm design paradigms (such as greedy algorithms, divide-and-conquer, and dynamic programming), network flows, NP-completeness, and other selected topics in algorithms.
Monday | Tuesday | Wednesday | Thursday | Friday | |
---|---|---|---|---|---|
11:00 AM | Daniel | Daniel | |||
11:30 AM | Daniel | Daniel | |||
12:00 AM | Daniel | Daniel | |||
12:30 AM | |||||
1:00 PM | |||||
1:30 PM | |||||
2:00 PM | Yunheng | Kruskal/Daniel | Yunheng | Kruskal | |
2:30 PM | Yunheng | Kruskal/Daniel | Yunheng | Kruskal | |
3:00 PM | Yunheng | Kruskal | Yunheng | Kruskal | |
3:30 PM | Yunheng | Kruskal | Yunheng | Kruskal | |
4:00 PM | |||||
4:30 PM | |||||
5:00 PM | Kusal | Kusal | |||
5:30 PM | Kusal | Kusal | |||
6:00 PM | Kusal | Kusal | |||
6:30 PM | Kusal | Kusal | |||
7:00 PM | |||||
7:30 PM |