查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

113-1 335106 人工智慧導論與程式語言 (一) 1 3.0 3 ▲ 田方治
陳協慶工管一甲 50 2 計中電腦教室

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
113-1	335106	人工智慧導論與程式語言 (一)	1	3.0	3	▲	田方治陳協慶	工管一甲	50	2	計中電腦教室

教學大綱與進度：

教師姓名田方治　教師諮商時間(Office Hours)

Email fctien@ntut.edu.tw

最後更新時間 2024-05-30 21:48:55

課程大綱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.

課程進度 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 Week 11: Class II Week 12: Problem-Based Learning: Topic I – Database, openxl Week 13: Problem-Based Learning: Topic II – Image Processing Week 14: Problem-Based Learning: Topic III – Webserver Week 15: Problem-Based Learning: Topic IV – GUI (PyQt) Week 16: Problem-Based Learning: Topic IV – GUI (Statistics) Week 17: Final Week 18: Project Demo

評量方式與標準作業 35% 期中考 20% 期末考 20% 小考及作業 25%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
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

課程諮詢管道每週四下午諮詢時間 14:00~16:00

課程對應SDGs指標 SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

課程是否導入AI

備註
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

教師姓名	田方治　教師諮商時間(Office Hours)
Email	fctien@ntut.edu.tw
最後更新時間	2024-05-30 21:48:55
課程大綱	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.
課程進度	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 Week 11: Class II Week 12: Problem-Based Learning: Topic I – Database, openxl Week 13: Problem-Based Learning: Topic II – Image Processing Week 14: Problem-Based Learning: Topic III – Webserver Week 15: Problem-Based Learning: Topic IV – GUI (PyQt) Week 16: Problem-Based Learning: Topic IV – GUI (Statistics) Week 17: Final Week 18: Project Demo
評量方式與標準	作業 35% 期中考 20% 期末考 20% 小考及作業 25%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 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
課程諮詢管道	每週四下午諮詢時間 14:00~16:00
課程對應SDGs指標	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
課程是否導入AI
備註	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