Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2025 341629 Introduction to Artificial Intelligence and Programming Languages (2) 1 3.0 3 ▲ FANG-CHIH TIEN
Hsieh-Ching Chen 4IEM1A 47 3 計中電腦教室

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	341629	Introduction to Artificial Intelligence and Programming Languages (2)	1	3.0	3	▲	FANG-CHIH TIEN Hsieh-Ching Chen	4IEM1A	47	3	計中電腦教室

Course Plan：

Instructor FANG-CHIH TIEN　Office Hours

Email fctien@ntut.edu.tw

Last Updated 2024-12-23 11:18:55

Course Objective 本課程之目的在訓練大學部學生於撰寫程式之能力，程式語言(一、二)以Python 為實踐主體，課程內容包含: 複習Operators and Expression、流程控制 (while, for, if-elif-else)、函式(function)、module、data structure；並學習 input/output、OOP (Class 概念)、及 exception；並將介紹廣泛使用之標準程式庫，包括: sys、datetime、os、random、argparse、numpy、pandas、matplotlib、pillow、pyqt、scipy， scikit-learn、opencv-python、request、Selenium、beautifulsoup4 等；並將配合學期之project，訓練同學團隊合作及系統開法之經驗。 The objective of this course is to cultivate the programming ability for undergraduates. Python is the language used in this course since its simplicity and widely applicable. The content of this course includes: reviewing operators and expression, flow control, functions, module, data structure, and extensively learning input/output, class (OOP), and exception. Besides, this course will introduce the commonly used packages, such as os, numpy, sys, pandas, matplotlib, pillow, pyqt, etc. There will be a term project to let student experience team-working and system design and management.

Course Schedule Week 1: Introduction to Python and python installation Week 2: Operators and Expression Week 3: 流程控制 I (Logic control) Week 4: 流程控制 II (Logic control) Week 5: 函式(Function) Week 6: module and function Week 7: datta structure: tuple、list、dictionary Week 8: input/output (file) Week 9: Test #1 Week 10: Class I ## 程式語言二由此開始 + Review Week 11: Class II Week 12: numpy，Problem-Based Learning: Topic I – Week 13: pandas+ request，Problem-Based Learning: Topic II Week 14: matplotlib + scikit-learn Problem-Based Learning: Topic III Week 15: Thread + PyQt，Problem-Based Learning: Topic IV – GUI (PyQt) Week 16: Image processing，Problem-Based Learning: Topic IV Week 17: Others Week 18: Final

Evaluation and grading policy 作業 35% 期中考 20% 期末考 20% 小考及作業 25%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
1. byte-of-python (電子書網路費版中/English) 2. 個人教材 (PPT) + Video 3. 相關網頁 4. 個人 YouTube

The access to curricular consultation 每週四下午諮詢時間 14:00~16:00

The course corresponds to the SDGs SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI

Note
Google meet 上課網址:https://meet.google.com/tqp-izpk-xfh

本課主要為工管系同學所設計之課程，分上下學期授課VBA及Python，外系同學建議不要選修此課程

Instructor	FANG-CHIH TIEN　Office Hours
Email	fctien@ntut.edu.tw
Last Updated	2024-12-23 11:18:55
Course Objective	本課程之目的在訓練大學部學生於撰寫程式之能力，程式語言(一、二)以Python 為實踐主體，課程內容包含: 複習Operators and Expression、流程控制 (while, for, if-elif-else)、函式(function)、module、data structure；並學習 input/output、OOP (Class 概念)、及 exception；並將介紹廣泛使用之標準程式庫，包括: sys、datetime、os、random、argparse、numpy、pandas、matplotlib、pillow、pyqt、scipy， scikit-learn、opencv-python、request、Selenium、beautifulsoup4 等；並將配合學期之project，訓練同學團隊合作及系統開法之經驗。 The objective of this course is to cultivate the programming ability for undergraduates. Python is the language used in this course since its simplicity and widely applicable. The content of this course includes: reviewing operators and expression, flow control, functions, module, data structure, and extensively learning input/output, class (OOP), and exception. Besides, this course will introduce the commonly used packages, such as os, numpy, sys, pandas, matplotlib, pillow, pyqt, etc. There will be a term project to let student experience team-working and system design and management.
Course Schedule	Week 1: Introduction to Python and python installation Week 2: Operators and Expression Week 3: 流程控制 I (Logic control) Week 4: 流程控制 II (Logic control) Week 5: 函式(Function) Week 6: module and function Week 7: datta structure: tuple、list、dictionary Week 8: input/output (file) Week 9: Test #1 Week 10: Class I ## 程式語言二由此開始 + Review Week 11: Class II Week 12: numpy，Problem-Based Learning: Topic I – Week 13: pandas+ request，Problem-Based Learning: Topic II Week 14: matplotlib + scikit-learn Problem-Based Learning: Topic III Week 15: Thread + PyQt，Problem-Based Learning: Topic IV – GUI (PyQt) Week 16: Image processing，Problem-Based Learning: Topic IV Week 17: Others Week 18: Final
Evaluation and grading policy	作業 35% 期中考 20% 期末考 20% 小考及作業 25%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. byte-of-python (電子書網路費版中/English) 2. 個人教材 (PPT) + Video 3. 相關網頁 4. 個人 YouTube
The access to curricular consultation	每週四下午諮詢時間 14:00~16:00
The course corresponds to the SDGs	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI
Note	Google meet 上課網址:https://meet.google.com/tqp-izpk-xfh 本課主要為工管系同學所設計之課程，分上下學期授課VBA及Python，外系同學建議不要選修此課程