國立中興大學教學大綱

課程名稱	(中) 進階程式設計(2337)
	(Eng.) Advanced Programming
開課單位	機械系
課程類別	選修	學分	3	授課教師	藍國瑞
選課單位	機械系 / 學士班	授課使用語言	中/英文	開課學期	1151
課程簡述	In this subject, students will advance their learning about the programming skill in engineering. Students will learn about data structures necessary for the construction of efficient algorithms. Moreover, students will spend a majority of the subject learning about algorithms useful in solving engineering problems. The concepts introduced will be reinforced through a contextual engineering project with mechatronics focus. This course will further students' understanding of programming in engineering. It will cover essential data structures for creating efficient algorithms, and the majority of the time will be dedicated to learning algorithms beneficial for solving engineering problems. The concepts introduced will be reinforced through a contextual engineering project with a mechatronics emphasis.
先修課程名稱	計算機程式

課程與核心能力關聯配比(%)

課程目標之教學方法與評量方法

課程目標

核心能力

配比(%)

教學方法

評量方法

At the conclusion of this subject students should be able to:

1. Get the ability to select and design algorithms.

2. Be competent possessing expertise in building data structures and algorithms for numerical solutions, including searching and optimization.

3. Comprehend the application of computational methods in professional engineering, including in the design, analysis and validations of mechanical systems.

1.運用數學、科學及機械工程知識之能力。

2.設計與執行實驗及分析數據之能力。

3.具有計畫管理、團隊合作並能設計、製作機械工程系統之能力。

4.具人文素養並能認識時事議題、瞭解科學與工程技術對環境永續、社會共好、及全球發展的影響。

5.培養學生自我學習之能力。

6.認知機械工程人員之專業與資訊倫理、與社會責任及尊重多元觀點。

討論

專題探討/製作

講授

實作

作品

測驗

書面報告

口頭報告

授課內容(單元名稱與內容、習作/每週授課、考試進度-共16週加自主學習)

週次	授課內容
第1週	Introduction to Data Structures and Algorithms Course overview, role of algorithms, project briefing
第2週	Object-Oriented Programming Classes, objects, inheritance, modular design
第3週	Modules & Algorithm Analysis Program structure, Big-O notation, efficiency trade-offs
第4週	Recursion & Iteration Recursive vs. loop-based problem solving
第5週	Stacks, Queues & Data Management Core operations, examples in scheduling and buffering
第6週	Linked Lists Lists, operations, comparison with arrays
第7週	Trees Binary trees, traversals, basic balancing
第8週	Searching & Sorting Search methods, sorting algorithms
第9週	Graphical User Interface (GUI) Basics of event-driven programming, simple UI building
第10週	Exam Covers Weeks 1–9: fundamentals, data structures, algorithms
第11週	Project Development I Begin implementation; supervised coding sessions
第12週	Project Development II Continue development; checkpoints
第13週	Project Development III Refinement and testing; peer evaluation
第14週	Project Development IV Short updates, feedback, debugging support
第15週	Final Presentation I Formal presentations and oral defence
第16週	Final Presentation II Remaining presentations, peer review, reflection
自主學習內容	03.製作專題報告

學習評量方式

Class Participation (30%); Exam (40%); Final Project (30%)

教科書＆參考書目(書名、作者、書局、代理商、說明)

Goodrich, Tamassia, Goldwasser. Data Structures and Algorithms in Python. Wiley.

課程教材（教師個人網址請列在本校內之網址）

iLearning 數位教學平台

課程輔導時間

After each lecture

請尊重智慧財產權及性別平等意識，不得非法影印他人著作及受保護的電子檔案。
更新日期西元年/月/日：2026/07/07 15:56:26	列印日期西元年/月/日：2026 / 8 / 26
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