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課程名稱 |
演算法
Algorithms |
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開課學期 |
99-2 |
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授課對象 |
電機資訊學院 電機工程學系 |
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授課教師 |
李建模 |
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課號 |
EE4033 |
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課程識別碼 |
901 39000 |
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班次 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期五6,7,8(13:20~16:20) |
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上課地點 |
電二229 |
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備註 |
總人數上限：120人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/992_algorithms |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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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.
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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 |
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課程要求 |
No prerequisite.
Homework 30%
Programming Assignment 20%
Midterm 20%
Final 28%
Participation 2%
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預期每週課後學習時數 |
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Office Hours |
每週五 10:00~12:00 |
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指定閱讀 |
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參考書目 |
Cormen, Leiserson, Rivest, Stien, Introduction to Algorithms, 2nd edition, MIT Press, 2001.
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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Week 1 |
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information, (revised 3/17) fundamentals
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Week 2 |
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please bring to the class. |
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Week 3 |
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Sorting |
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Week 4 |
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quicksort analysis (updated 3/17) |
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Week 5 |
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Data Structures and Trees |
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Week 7 |
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Advanced Design: Dynamic programming, Greedy algorithm |
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Week 9 |
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graph |
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Week 10 |
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midterm exam |
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Week 11 |
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Graphs : shortest path |
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Week 12 |
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Advanced data structure
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Week 13 |
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max Flow (slides updated 5/26 6pm) |
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Week 14 |
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Amortized Analysis |
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Week 15 |
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Selected Topics: NP Completeness |
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Week 16 |
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selected topics: multithread programming |
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Week 17 |
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Final Exam |
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Week 18 |
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on line judge contest |
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