課程資訊
課程名稱
演算法
Algorithms 
開課學期
100-1 
授課對象
學程  積體電路設計第二專長學程  
授課教師
張耀文 
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
星期三6,7,8(13:20~16:20) 
上課地點
電二143 
備註
總人數上限:80人 
 
課程簡介影片
 
核心能力關聯
核心能力與課程規劃關聯圖
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

Course Contents: Topics include

1. Algorithmic fundamentals: mathematical foundations, growth of functions, recurrences (5 hrs)

2. Sorting and order statistics (5 hrs)

3. Data structures: heap, binary search trees, RB trees, disjoint sets (4 hrs)

4. Advanced design and analysis techniques: dynamic programming, greedy algorithms, amortized analysis (11 hrs)

5. Graph algorithms: graph representations, searching, minimum spanning trees, shortest paths, matching, network flow (14 hrs)

6. NP-completeness, computational complexity, and approximation algorithms (6 hrs)

7. General-purpose algorithms: computational geometry,
branch and bound, and simulated annealing, as time permits.
 

課程目標
Course Objective: Focuses on the design and analysis of algorithms and their applications, and develops problem-solving techniques. 
課程要求
Prerequisites: data structures (or discrete mathematics).

Six homework assignments (+ in-class quizzes) 30%,
three mini programming assignments 20%,
two in-class tests 50%,
and bonuses for class participation. 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
 
參考書目
教科書.
T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein,
Introduction to Algorithms, 3rd Ed.,
MIT Press/McGraw Hill, 2009.
ISBN: 0-262-03384-4 / 978-0-262-03384-8. 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
無資料