進行中 校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

進階物件導向程式設計

Advanced Object-Oriented Programming

學期
112-1
學分
3 學分
當期課號
515118
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
週一
N
12:20–13:10
進階物件導向程式設計
EE632
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/EE632) 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 Vim/NeoVim editor and GitHub Copilot. * 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
第 2 週Lecture: OOP Classes OCW: Encapsulation and Operator Overloading, Inheritance, Polymorphism
第 3 週OCW: Understanding Program Efficiency, Part 1
第 4 週OCW: Understanding Program Efficiency, Part 2
第 5 週Holiday OCW: Graph-theoretic Models
第 6 週OCW: Searching and Sorting
第 7 週OCW: Introduction to Machine Learning Lab: PyTorch/Tensorflow
第 8 週Midterm Repository Due OCW: Clustering
第 9 週OCW: Classification Lab: DQN PacMan
第 10 週OCW: Introduction to Classification and Statistical Sins OOP Code Analysis
第 11 週期中考
第 12 週OCW: Statistical Sins OOP and Behavior Tree Lab: PacMan BT
第 13 週OOP and Design Pattern Stable-Baselines3
第 14 週OOP Project with AI Agent (1) Code Analysis PyRobot, LLM Overview
第 15 週OOP Project with AI Agent (2) Code Analysis Llama2 (1/15)
第 16 週Project Presentation (1/22)
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:welly.ee11@nycu.edu.tw