The goal of this course is to acquaint the students with basic computer algorithms and their design principles and to cultivate the students' ability in designing and analyzing algorithms independently.

• 10/29: HW#6 due on 11/12.
• 10/29: notes/slides for String Processing available.
• 10/15: notes/slides for Searching and Sorting available.
• 10/13: HW#5 due on 10/29; ACM ICPC 2019 World Finals Problem A.
• 10/08: HW#4 due on 10/15.
• 10/08: notes/slides for A Supplement to Data Structures available.
• 10/01: HW#3 due on 10/08.
• 10/01: notes/slides for Design by Induction available.
• 09/23: HW#2 due on 10/01.
• 09/23: notes/slides for Analysis of Algorithms available.
• 09/16: HW#1 due on 09/24.
• 09/10: notes/slides for Introduction and for Mathematical Induction available.
• 09/03: this website created on 08/31.

Yih-Kuen Tsay (蔡益坤), NTU IM Dept., 3366-1189, Xtsay@ntu.edu.twX (between the enclosing pair of X's).

Tuesday 2:20~5:20PM, Room 103, Management Building 2.
TA sessions will be scheduled prior to some of the class meetings between 1:20 and 2:10PM; see the course schedule below.

Tuesday 1:30~2:00PM, Wednesday 1:30~2:00PM, or by appointment, Room 1108, Management Building 2.

Hung-Yang Lin (林宏陽), Xr08725027@ntu.edu.twX (between the enclosing pair of X's).
Wayne Zeng (曾守瑜), Xr08725038@ntu.edu.twX (between the enclosing pair of X's).
Rose Chou (周若涓), Xr08725008@ntu.edu.twX (between the enclosing pair of X's).

• [M] Introduction to Algorithms - A Creative Approach, U. Manber, Addison-Wesley, 1989. (Four copies of this book have been put on reserve at NTU Library in the B1-教師指定參考書區 under 演算法(BM-4). Additionally, eleven copies are available for loan; please contact one of the TAs.)
• [C] Introduction to Algorithms, Third Edition, T.H. Cormen, C.E. Leiserson, R.L. Rivest, and C. Stein, MIT Press, 2009. (開發圖書代理; one copy of this book has been put on reserve at NTU Library in the B1-教師指定參考書區 under (FF-9).)

This course provides an introduction to the design and analysis of computer algorithms. A particular emphasis is given to principles of mathematical induction and their use in designing algorithms. The course will cover most of Manber's book plus supplementary material, including a few chapters of the book by Cormen et al. (Note: a TA session will precede a class meeting whose date is marked with an *. There are six TA sessions on 9/24, 10/8, 10/29, 11/19, 12/10, and 12/31.)

• Introduction [M: Ch. 1; C: Ch. 1,2] (.5 week: 9/10a) [notes, slides]
• Mathematical Induction [M: Ch. 2; C: Ch. 4] (1.5 weeks: 9/10b, 9/17) [notes, slides]
• Analysis of Algorithms [M: Ch. 3; C: Ch. 2,3,4] (1 week: 9/24*) [notes, slides]
• Design by Induction [M: Ch. 5] (1.5 weeks: 10/1, 10/8a*) [notes, slides]
• Data Structures: A Supplement [M: Ch. 4; C: Ch. 6,13,21] (1 week: 10/8b, 10/15a) [notes, slides, Building an AVL Tree (Illustration)]
• Searching and Sorting [M: Ch. 6; C: Ch. 6,7,8,9] (1.5 weeks: 10/15b, 10/22) [notes, slides, Heapsort (Illustration), Bottom-Up Heap Building (Illustration)]
• String Processing [M: Ch. 6; C: Ch. 32] (1 week: 10/29*) [notes, slides, Construction of a Huffman Tree (Illustration)]
• Midterm (2019/11/05)
• Graph Algorithms: Basic [M: Ch. 7; C: Ch. 22,23,24,25,26] (2 weeks: 11/12, 11/19*) [notes, slides, Dijkstra's Algorithm (Illustration), Prim's Algorithm (Illustration)]
• Graph Algorithms: Advanced [M: Ch. 7; C: Ch. 22,23,24,25,26] (2 weeks: 11/26, 12/3) [notes, slides]
• Dynamic Programming [C: Ch.15] (1 week: 12/10*) [notes, slides]
• Reduction [M: Ch. 10; C: Ch. 29] (1 week: 12/17) [notes, slides]
• NP-Completeness [M: Ch. 11; C: Ch. 34] (2 weeks: 12/24, 12/31*) [notes, slides]
• Final (2020/01/07)

• Mathematical Induction (a Wikipedia page)
• Structural Induction (a Wikipedia page)
• MIT OpenCourseWare: Introduction to Algorithms
• Stanford Coursera: Design and Analysis of Algorithms
• What is an Algorithm? (M.Y. Vardi, Communications of the ACM, Volume 55 Issue 3, March 2012)
• Animated Sorting Algorithms
• Graph Animations with Combinatorica
• The website of ACM-ICPC (International Collegiate Programming Contest)

Homework 20%, Participation 10%, Midterm 35%, Final 35%.