3576 - AI(一):資料科學技術與實作
Data Science in Practice
教育目標 Course Target
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 relevant theoretical overviews, application examples and hands-on implementation.
It then provides information on actual cases of industry-university cooperation that teachers have participated in, so that students can fully learn from theory to practice and truly have the ability to solve problems through action.
At the same time, through actual industry-university case studies and materials, students can understand the gap between industrial issues and theory, thereby cultivating students’ ability to assist in industrial AI transformation.
Therefore, the objectives of this course are as follows:
1. Cultivate students’ basic theoretical and practical abilities in AI-related technologies
2. Let students understand the gap between theory and practice through industrial cases
3. Cultivate basic talents to promote industrial AI
參考書目 Reference Books
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: Yutaka Matsuo
Translator: Jiang Yuzhen
Publisher: Economic News Society
2. TensorFlow+Keras deep learning artificial intelligence practical application
Author: Lin Dagui
Publisher: Boshuo
3. Teachers compile their own teaching materials
評分方式 Grading
評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
---|---|---|
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 Assignments and exercises |
45 | 課堂實作練習 |
期末專題 Final topic |
45 | Final Project demonstration and presentation |
授課大綱 Course Plan
點擊下方連結查看詳細授課大綱
Click the link below to view the detailed course plan
相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 3576
- 學分 Credit: 4-0
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上課時間 Course Time:Wednesday/1,2[C118] Monday/2,3[ST318]
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授課教師 Teacher:許瑞愷/陳倫奇
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修課班級 Class:共選修2-4
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選課備註 Memo:雲創學院課程
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