Algorithm Lecture 2023

1. [9/4] Chapter 1 : 알고리즘의 첫걸음
2. [9/5] Chapter 2 : 알고리즘을 배우기 위한 준비
3. [9/11] Python Basic 1 : Keywords, Collections - p02 Dictionary 까지 진행.
4. [9/12] Python Basic 2 : Module, Libraries
5. [9/18] Ch 6 Sort #1 : Bubble, Selection, Insert, Shell
6. [9/19] Ch 6 Sort #2 : 실습
7. [9/25] Ch 6 Sort #3 : Heap, Radix, External
8. [9/26] Ch 6 Sort #4 : 실습
9. [10/2] Ch 3 D&C #1 : Merge, Quick
10. [10/3] Ch 3 D&C #2 : 실습
11. [10/9] Ch 3 D&C #3 : 다양한 언어에서의 Sort
12. [10/10] Ch 3 D&C #4 : Selection, Closest Pair
13. [10/16] Ch 3 D&C #5 : 실습
14. [10/17] 중간고사 대비 정리
15. 중간고사
16. Ch 4 Greedy #1 : Coin, MST
17. Ch 4 Greedy #2 : Kruskal, Prim
18. Ch 4 Greedy #3 : 실습
19. Ch 4 Greedy #4 : Dijkstra, Knapsack, ...
20. Ch 4 Greedy #5 : Set-Cover, Floyd-Warshall
21. Ch 5 DyPrg #1 : Matrix, 0-1 Knapsack, Coin Change
22. Ch 5 DyPrg #2 : 실습
23. Ch 7 NP-Complete
24. Ch 8 Approx. Algo. #1 : PPT
25. Ch 8 Approx. Algo. #2 : 실습: MST-TSP
26. Ch 8 Approx. Algo. #3 : 실습: VertexCover, BinPacking
27. Ch 8 Approx. Algo. #4 : 실습: Clustering
28. 기말고사 대비 정리
29. 기말고사