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
先端工学基礎課程

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

None

キーワード

Dynamic programming
HMM
context free grammars
etc
greedy algorithms
string matching
最終変更日時: 2025/03/11 9:01:50