課程資訊
課程名稱
演算法
ALGORITHMS 
開課學期
98-2 
授課對象
電機資訊學院  電機工程學系  
授課教師
李建模 
課號
EE4033 
課程識別碼
901 39000 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期五6,7,8(13:20~16:20) 
上課地點
電二229 
備註
總人數上限:130人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/982_algorithms 
課程簡介影片
 
核心能力關聯
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課程大綱
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課程概述

This course introduces basic and useful algorithms to solve problems, especially in electrical engineering.
Students are required to have basic programming skill.
Knowledge about data structure is a plus but not required.
 

課程目標
Foundations, CH1, CH2 Getting Started
CH3 Growth of Function
CH4 Recurrence
Ch6 Heap Sort
Ch7 Quick Sort
CH10 Data Structure
CH12 Binary Trees, CH13 Red-black Trees
CH15 Dynamic Programming
CH16 Greedy Algorithm
CH17 Amortized Analysis
CH22 Elementary Graph Algo.
Ch23 Minimum Spanning Tree
Ch24, 25 Shortest Paths
Ch27 Maximum Flow
CH34 NP-Completeness
CH35 Approximation Algo.
Review, Additional topics 
課程要求
No prerequisite.

Homework 30%
Programming Assignment 20%
Midterm 20%
Final 28%
Participation 2%
 
預期每週課後學習時數
 
Office Hours
每週五 10:00~12:00 
指定閱讀
 
參考書目
Cormen, Leiserson, Rivest, Stien, Introduction to Algorithms, 2nd edition, MIT Press, 2001.
 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
Week 1
2/26  information, fundamentals
(2/25 update, only small changes in fonts) 
Week 3
3/12  Sorting 
Week 5
3/26  Data Structures and Trees 
Week 7
4/09  Dynamic programming and greedy algorithms 
Week 9
4/23  midterm exam 
Week 10
4/30  Graphs (1) 
Week 11
5/07  Graphs (3) 
Week 12
5/14  Graph (2) MST
(please also bring CH 16 greedy algorithm to the class) 
Week 13
5/21  Amortized Analysis, Disjoint Sets 
Week 15
6/04  max flow 
Week 16
6/11  max_flow version 2 (slides 26, 27, 33, 34, 35 changed)
NP completeness 
Week 17
6/18  Final Exam