Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2024	332359	Generative Artificial Intelligence and Multimedia Applications	1	3.0	3	★	Honga Chen	4IFM2B	19	3	科研243/英語/資財二甲乙合開

Course Plan：

Instructor	Honga Chen　Office Hours
Email	honga.chen@mail.ntut.edu.tw
Last Updated	2024-05-28 14:56:55
Course Objective	This course mainly explores how to apply generative AI technology to commercial creation and multimedia production processes. The course introduces commonly used generative deep learning models, such as Generative Adversarial Networks (GANs), discusses the topics of AI Generated Content (AIGC), and focuses on how they can enhance the efficiency of the creative process and tool operation. The purposes of this course are fourfold: 1. Understand the relevant business processes of multimedia development. 2. Use generative AI models and multimedia-related platforms, and apply these technologies to content output, such as image generation, video content, and music creation etc. 3. Discuss how to combine these new technologies with traditional multimedia production processes, and how to operate related multimedia software. 4. Discuss relevant intellectual property rights, ethics and other social issues. This course is suitable for students who are interested in artificial intelligence, multimedia applications, and how to apply these technologies in a business environment.
Course Schedule	Course schedule: Week 1: Course introduction Week 2: Presentation and text media application (1) Week 3: Presentation and text media application (2) Week 4: 2D image media application (1) Week 5: 2D image media application (2) Week 6: Publication vector media application (1) Week 7: Publication vector media application (2) Week 8: 3D media application (1) Week 9: 3D media application (2) Week 10: Midterm exam Week 11: Music media application (1) Week 12: Music media application (2) Week 13: Audiovisual media application (1) Week 14: Audiovisual media application (2) Week 15: Internet media application (1) Week 16: Internet media application (2) Week 17: Comprehensive topics Week 18: Final exam
Evaluation and grading policy	I. Course participation and attendance: 10% of the total grade 1. Class and group discussion learning situation. 2. Semester attendance and proportion of mining classes, partial scores can be obtained for leave due to special reasons. 3. If you miss more than half of the classes before the midterm and final exams, you will lose the eligibility to take the exam. II. Regular homework and discussion: 30% of the total grade 1. If necessary, in-class discussions or quizzes will be held at any time. 2. The test will be based on the course content and discussion topics. 3. Group discussion and report. III. Midterm exam score: 30% of the total grade 1. Test: 30% of the total score 2. Method: Conducted by a written test. IV. Final score: 30% of the total grade 1. Report: 30% of the total score 2. Method: Conducted by group reporting. V. Distribution ratio Course participation and attendance: 10% of the total grade Regular grades: 30% of the total grade (Group report 10%; Random quiz 20%) Midterm grades: 30% of the total grade Final grades: 30% of the total grade
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 1. General Textbook: 2. Supplementary Textbook:
The access to curricular consultation	email: honga.chen@ntut.edu.tw
The course corresponds to the SDGs
Note	1.本課程將以北科i學園plus做為課程網頁，並於開學後選定課代設line群方便同學聯繫與討論。 2.如有加退選或課程問題請寄email給老師([honga.chen@ntut.edu.tw](mailto:honga.chen@ntut.edu.tw))。 3.因應COVID-19疫情可能會調整授課方式、進度與評量方式。 4.若無法實體上課，採取學校的 Microsoft Teams（學號@cc.ntut.edu.tw）於原定上課時間遠距上課。 5.因應學校三教整修工程施作，本(112-2)學期日間部於普通教室授課之課程，將配合總務處施工期程，自6月8日起實施線上教學至6月22日止。