進階物件導向程式設計

Advanced Object-Oriented Programming

學期

114-1

學分

3 學分

當期課號

515110

永久課號

EEEC10022

開課單位

電機工程學系

授課教師

王學誠

校區

光復

類別

選修

上課時間表

節	週一
N 12:20–13:10	進階物件導向程式設計 EE635 3 節連堂
5 13:20–14:10
6 14:20–15:10

* 根據陽明交大上課時間表所列

概述

本課程於課程第一部分介紹: * 物件導向程式設計基礎,複習物件導向程式設計(OOP)觀念。 * Cover more on advanced topics in OOP and software engineering, such as design pattern. * Include the rest OCW materials including computational efficiency (complexity) and basic machine learning. 第二部分將介紹高階程式語言Python於人工智慧與期末專題製作,包含: * 訓練學生具有設計中大型軟體作品的能力。 * 熟悉國內外Programming Interview出題方向。 * Study and learn from real-world repo (not toy example anymore) * Extended your game with AI or more advanced interfaces such as 3D or VR/AR (OOP C# in Unity). Welcome and Have FUN!

先修科目

UEE1302 (Introduction to Computer Science and Programming (in C/C++) or equivalent course EEEC10008 Object-Oriented Programming (in C/C++ or Python) or equivalent course

教學方式

a. 使用學校New e3網站。每位同學準備筆電、需有GitHub帳號。 b. 物件導向程式設計課程包含每週三小時授課與實驗。實驗課程的規劃、內容、作業題目由老師設計提供,讓同學熟悉程式語言的撰寫方法。另外由助教帶領,配合每週上課內容作上機操作的練習,作業繳交等輔助教學。並從動手實作之中習得解決問題之能力。 * 課程講授為線上課程 * 上機操作為實體課程(地點:EE635) c. 本課程將使用MIT OCW課程單元(含OCW課程錄影)進行輔助教學。 * MIT OCW https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/ * MIT OCW https://ocw.mit.edu/courses/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/ * https://oceanai.mit.edu/ivpman/pmwiki/pmwiki.php?n=Lab.HomePageCPP d. 程式設計學習希望project-based learning,整合所學製作出一個軟體遊戲或者小型軟(硬)體系統。期末專題製作以2-3人一組,讓學生能夠學習如何分工合作互相討論,同時也能訓練如何將多個檔案串接為專案。

評分方式

Assignments: * We have in-class tutorial/lab each week, and the lab materials typically include 3 specific tasks (programming/algorithm/system work). and students are expected to finish the lab materials during the class. * We will use Ubuntu and VS Code with GitHub Copilot or Cursor IDE. * We will use Colab and Jupyter Notebook for assignment submissions. Exams: There will be midterm exam. Evaluations: In-Class Lab/Tutorials (30%), Midterm Exam (25%) Final Presentation and Term Paper/Report (30%) Class Participations (10% GitHub Commits, 5% Other Participations)

週次計畫

週次	主題
第 1 週	Introduction OCW: Testing, Debugging, Exceptions, Assertions Lab 01: (GPU) Machine Installation
第 2 週	OCW: Object Oriented Programming Lab 02: Version Control (Git)
第 3 週	OCW: Python Classes and Inheritance Lab 03: IDE (VS Code or Cursor), GitHub Copilot
第 4 週	OCW: Understanding Program Efficiency, Part 1 Lab 04: Debugger & Jupyter Notebook Project Ideas
第 5 週	教師節補假 OCW: Understanding Program Efficiency, Part 2 Project Ideas and Repo Preparations
第 6 週	中秋節放假 Project Ideas and Repo Preparations
第 7 週	OCW: Searching and Sorting Lab 05: CUDA
第 8 週	OCW: Introduction to Machine Learning 期中考週 Lab 06: PyBind11
第 9 週	OCW: Clustering Lab 07: LeetCode
第 10 週	OCW: Classification Lab 8: 期中考題庫介紹
第 11 週	OCW: Introduction to Classification and Statistical Sins Lab 09: Midterm Preparations
第 12 週	期中考 Midterm
第 13 週	OCW: Statistical Sins OOP Project (1) Lab 12: PyGame with Unity - Behavior Tree
第 14 週	OOP Project (2) Lab 13: PyGame with Unity - UPython
第 15 週	OOP Project (3) Lab 14: PyGame with Unity - VR/AR
第 16 週	Project Presentation

教科書

Required: * Introduction to Computation and Programming Using Python, third edition: With Application to Computational Modeling and Understanding Data by John Guttag Suggested: * Elements of Programming Interviews in Python by by Adnan Aziz, Tsung-Hsien Lee, Amit Prakash * Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries, by Steven F. Lott, Dusty Phillips * Mastering Python Design Patterns - Second Edition by Kamon Ayeva , Sakis Kasampalis

Office Hours

地點: By appointments
時間: By appointments
聯絡方式: 王老師: hchengwang@nycu.edu.tw 助教: brianlan.en13@nycu.edu.tw