21017211
国際科目INT004c INT004d INT004g INT004h
3年, 4年後学期金3
Advanced Communication Engineering and Informatics IV(Computer Algorithms)
Advanced Communication Engineering and Informatics IV(Computer Algorithms)
小林 聡
単位区分
単位数: 2単位必修 | 課程・類・プログラム | 種別 |
|---|---|---|
詳細あり | ||
詳細あり | ||
関連Webサイト
Go to the google classroom:6a6xvqj
主題および達成目標
The purpose of this lecture is provide the theory and technique to design
efficient algorithms for various fundamental problems.
The goals of the students are to achieve the following points:
(1) to understand the behavior, correctness, and time complexity analysis
of the algorithms discussed in the lecture,
(2) to understand the principles of design methodologies of algorithms, such as
dynamic programming, greedy method, etc.
前もって履修しておくべき科目
Registered students should have ability to write C programs. Furthermore,
the knowledge about some basic data structures (list, binary tree, heap, etc.) and
basic algorithms (sorting, etc.) are required.
前もって履修しておくことが望ましい科目
None
教科書等
Some handouts are provided at the lecture.
授業内容とその進め方
(a) Contents of the lecture
[1] Minimum spanning tree problem and greedy algorithms
[2] Correctness of Prim's and Kruskal's algorithm
[3] Greedy algorithms for other problems
[4] Shortest path problem and Dynamic Programming (DP)
[5] DP Method (1) --- Transform DFAs to regular expressions
[6] DP Method (2) --- Context-free grammar and its recognition problem
[7] DP Method (3) --- CYK algorithm for CFG recognition
[8] DP Method (4) --- Hidden Markov Models (HMM)
[9] DP Method (5) --- Recognition problem of HMM
[10] DP Method (6) --- HMM recognition algorithm
[11] DP Method (7) --- Approximate string matching algorithms
[12] String matching problem
[13] Computing failure functions in KMP algorithm
[14] Correctness and time complecity of KMP algorithm
[15] Summary and conclusion of this lecture
(b) How does this lecture proceed?
For each problem, we first discuss on its background and motivation, and then
give an algorithm for the problem. The correctness and time complexity
analysis of the given algorithm will be discussed in details.
Example runs will be used to enrich the understanding.
授業時間外の学習
Implement algorithms given in the the lecture, if possible.
成績評価方法および評価基準
Academic performance is evaluated by problems given to the students on the google classroom.
The lowest standard is 60%.
オフィスアワー・授業相談
Any time, but appointments by e-mails are necessary.
学生へのメッセージ
None
その他
None