Type of Credit: Required
Credit(s)
Number of Students
This course is designed as a semi-seminar format. It begins with an introduction to novel GenAI technologies in mass media, followed by discussions on various societal topics, including (but not limited to) social justice, social advocacy, social impact, social equity, social responsibility, social innovation, social change, social movements, social entrepreneurship, social inclusion, and social cohesion. New technologies, such as genAI-RAG, LLM, and VR/AR/MR/XR, including agentic AI, are also introduced, complemented by hands-on practice sessions. The course includes invited talks and field visits by industry experts. Students are expected to complete individual assignments and collaborate on group activities and projects. This course aims to transform students by equipping them with the skills and mindset needed to tackle challenges arising from emerging media, technology, and societal shifts.
能力項目說明
|
Week |
Date |
Topic |
Content and Reading Assignment |
Teaching Activities and HW |
|
1 |
Sept 03 |
Intro. & Updates |
Syllabus Overview, New ITS Self-intro & Group assignment |
Lecture |
|
2 |
Sept 10 |
Trip |
Local @ NCCU Library |
Hosted by Prof. Hsieh (I.T. 1/4) (R.R. draft) |
|
3 |
Sept 17 |
GenAI |
GenAI Creativity & Innovation |
Lecture (Prof. Li) |
|
4 |
Sept 25 |
GenAI Art & Image |
Lecture (Prof. Li) |
|
|
5 |
Oct 01 |
GenAI Video & Audio |
Lecture (Prof. Li) |
|
|
6 |
Oct 08 |
GenAI Memory & Zeitgeist |
Lecture (Prof. Li) |
|
|
7 |
Oct 15 |
GenAI Product Innovation |
Lecture (Prof. Li) |
|
|
8 |
Oct 22 |
Midterm |
Ind./Group Presentation |
Hosted by Prof. Li |
|
9 |
Oct 29 |
Guest speech (1/2) – AI in Decision Making Dates to participate in full/half-day workshops, held on Saturday (2~3 times), will be determined and announced soon. Note: The entire course is designed to provide a total of 54 hours of learning time (16×3 + 6 hours) for the students. |
Hosted by Prof. Hsieh (R.R. revision) |
|
|
10 |
Nov 05 |
AI in Digital Society |
AI Models and Applications (1/4) |
Lecture and I.T. 2/4 |
|
11 |
Nov 12 |
AI Models and Applications (2/4) |
Lecture and I.T. 3/4 |
|
|
12 |
Nov 19 |
AI Models and Applications (3/4) |
Lecture and G.T. 1/3 |
|
|
13 |
Nov 26 |
AI Models and Applications (4/4) |
Lecture and I.T. 4/4 |
|
|
14 |
Dec 03 |
Trip |
Off campus @ Zhishan Arts, Music, and Renovation |
Hosted by Prof. Hsieh (G.T. 2/3) |
|
15 |
Dec 10 |
Guest speech (2/2) – AI in Decision Making |
Hosted by Prof. Hsieh (G.T. 3/3) |
|
|
16 |
Dec 17 |
Final term |
Group Design Presentations / |
Hosted by Prof. Hsieh (R.R. final) |
I.T. = Individual Task; G.T. = Group Task; R.R. = Research Report
40% Midterm Presentation (by Prof. Li)
20% Ind. hands-on sessional tasks (I.T. tasks: HCI International 2026) - four times (by Prof. Hsieh)
30% Group assigned tasks (G.T. tasks assigned in the Workshop) - three times (by Prof. Hsieh)
10% Final-term Group Design Presentation - Due on Dec 17 (by Prof. Hsieh)
Textbook:
*Lyu, Z. (2024). Applications of Generative AI. Springer. @NCCU Library free to download
References:
*Kulkarni, A., Shivananda, A., Kulkarni, A., & Gudivada, D. (2024). Applied Generative AI for beginners: Practical knowledge on diffusion models, ChatGPT, and other LLMs. California, CA: Apress. @NCCU Library free to download
*Marr, B. (2024). Generative AI in practice: 100+ amazing ways generative artificial intelligence is changing business and society. Hoboken, NJ : Wiley. @NCCU Library on loan
*Smith, J. (2024). RAG Generative AI: A Practical Guide to Building Custom Retrieval-Augmented Pipelines and Enhancing AI Systems. Independently published. @Amazon
*Huang, K., Wang, Y., Goertzel, B., Li, Y., Wright, S., & Ponnapalli, J. (2024). Generative AI security: Theories and practices. Switzerland: Springer Nature. @NCCU Library free to download
https://uxmastery.com/resources/techniques/ https://2026.hci.international/