112年第2學期-2832 Digital Graphic Design and Creativity 課程資訊

評分方式

評分項目	配分比例	說明
In-Class Participation, Attitude	15	In-Class Participation, Attitude (discussion and project critiques)
Home Assignments	20	4 home assignments
Final Project	15	Final project
Mid term Exam	25	Mid term Exam
Final term Exam	25	Final term Exam

教育目標

- Understand the fundamentals of digital graphic design and the role of AI in enhancing creativity and innovation. - Master the techniques and algorithms behind AI-powered image generation, including GANs, transfer learning, and prompt engineering. - Explore practical applications of AI in graphic design, such as concept art, illustration, marketing visuals, and UX/UI design. - Develop an understanding of ethical and societal considerations related to AI in image creation, addressing issues like copyright, bias, and misinformation. - Gain hands-on experience using industry-leading AI software for image and video generation, including ChatGPT, Google Gemini, Bing Image Creator, Dall-E3, and Clipchamp. - Create a final project showcasing your AI-generated images and videos, accompanied by a research paper analyzing the ethical impact of AI in image creation. - Enhance presentation skills by effectively incorporating AI-generated visuals into presentations. Students will gain hands-on experience using industry-leading AI software and learn how to apply AI techniques to practical design problems. Additionally, the course emphasizes the ethical and societal considerations related to AI in image creation, ensuring that students use these technologies responsibly and ethically. Furthermore, the course aims to enhance students' presentation skills by teaching them how to effectively incorporate AI-generated visuals into presentations.

基本資料

選修課，學分數：0-2
上課時間：一/6,7,8[M023]
修課班級：永續學程1-4
修課年級：1年級以上
選課備註：教室安排第二校區電腦教室。

參考書目

1.Sarah Brin and Elizabeth Eller, AI and Graphic Design: A Guide to Collaboration, Thames & Hudson, 2023, ISBN: 978-0-500-29579-8.
2.Casey Reas and Ben Fry, Generative Art: The Art of Code, The MIT Press , 2019, ISBN: 978-0-262-04295-7.