本課程希望透過老師與助教群提供學生手把手的方式，從AI基本觀念到相關理論概述、應用範例說明與動手實作，
進而提供老師參與過的產學合作實際案例資料，讓學生能從理論到實務都能充分學習，真的具備動作解決問題的能力。
同時透過實際產學案力與資料，學生能了解產業問題與理論的落差，進而培養學生協助產業AI化的能力。
因此，本課程目標如下:
1. 培養學生AI相關技術之理論與實作基礎能力
2. 透過產業案例，讓學生了解理論與實務的落差
3. 培育產業AI化推動的基礎人才This course hopes to provide students with a step-by-step approach through teachers and teaching assistants, from basic AI concepts to overview of related theories, application example descriptions and manual practices.
In addition, it provides the actual case data of the teacher's participation in the industry cooperation, so that students can fully learn from theory to practice, and truly have the ability to solve problems.
At the same time, through the international production capacity and data, students can understand the gap between industry problems and theoretical discussions, and thus cultivate students' ability to assist in the AI of the industry.
Therefore, the goals of this course are as follows:
1. Cultivate students' theoretical and practical basic abilities in AI-related technologies
2. Through industry cases, students can understand the gap between theoretical and practical
3. Cultivate basic talents for the AI-based promotion of industry
1. 了解人工智慧的第一本書：機器人和人工智慧能否取代人類？
作者： 松尾豐
譯者： 江裕真
出版社：經濟新潮社
2. TensorFlow+Keras深度學習人工智慧實務應用
作者： 林大貴
出版社：博碩
3. 教師自編教材
1. The first book to understand artificial intelligence: Can robots and artificial intelligence replace humans?
Author: Matsuo Hokki
Translator: Jiang Yuzhen
Publisher: Economic Trend Society
2. TensorFlow+Keras in-depth learning of artificial intelligence practical applications
Author: Lin Daqi
Publisher: Bowen
3. Teachers compile their own textbooks
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 課程參與課程參與 Course Participation |
10 | 課程互動、討論、報告、分享等相關參與程度 |
| 作業與練習作業與練習 Work and practice |
45 | 課堂實作練習 |
| 期末專題期末專題 Final topics |
45 | Final Project demonstration and presentation |
