課程資訊
課程名稱
資料結構與演算法實務
Practical Data Structures and Algorithms 
開課學期
110-1 
授課對象
學程  健康大數據學分學程  
授課教師
陳倩瑜 
課號
BME5010 
課程識別碼
631 U1260 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期一7,8,9(14:20~17:20) 
上課地點
知武會議室 
備註
上課地點:知401。
總人數上限:80人 
 
課程簡介影片
 
核心能力關聯
本課程尚未建立核心能力關連
課程大綱
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課程概述

此一課程在於介紹多種常用之資料結構與相關演算法,增進修課學生的程式設計能力,以期未來能在不同領域實際應用。

每週課程計畫進度:

Chapter 1: Fundamentals introduces a scientific and engineering basis for comparing algorithms and making predictions. It also includes our programming model.
Chapter 2: Sorting considers several classic sorting algorithms, including insertion sort, mergesort, and quicksort. It also includes a binary heap implementation of a priority queue.
Chapter 3: Searching describes several classic symbol table implementations, including binary search trees, red-black trees, and hash tables.
Chapter 4: Graphs surveys the most important graph processing problems, including depth-first search, breadth-first search, minimum spanning trees, and shortest paths.
Chapter 5: Strings investigates specialized algorithms for string processing, including radix sorting, substring search, tries, regular expressions, and data compression.
Chapter 6: Context highlights connections to systems programming, scientific computing, commercial applications, operations research, and intractability. 

課程目標
本課程將搭配JAVA程式編輯,介紹多種可使用的資料結構,引領學生了解現有演算法,解決實際問題。 
課程要求
修過至少一種基本程式設計課程(any language is fine, ext. C, C++, Java, Perl, ...) 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
 
參考書目
1. Bundle of Algorithms in Java, Third Edition, Parts 1-5: Fundamentals, Data
Structures, Sorting, Searching, and Graph Algorithms (3rd Edition) (Pts. 1-5)

2. Sanjoy Dasgupta, Christos H. Papadimitriou, and Umesh Vazirani, Algorithms,
McGraw-Hill, 2006. (http://beust.com/algorithms.pdf) 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
無資料