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 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, are also introduced, complemented by hands-on practice sessions. The course includes invited talks, workshops, field visits, and guest lectures 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
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
|
Week |
Date |
Topic |
Content and Reading Assignment |
Teaching Activities and HW |
|
1 |
Feb 20 |
Intro. |
Syllabus Review, Account Setup |
Lecture |
|
2 |
Feb 27 |
GenAI [ Da Yong building 210207 ] |
Intro. to Generative AI Image and Video |
Lecture (Prof. Li) |
|
3 |
Mar 06 |
Generative AI and Creativity |
Lecture (Prof. Li) |
|
|
4 |
Mar 13 |
Generative AI and Innovation |
Lecture (Prof. Li) |
|
|
5 |
Mar 20 |
Generative AI in Communication |
Lecture (Prof. Li) |
|
|
6 |
Mar 27 |
Generative AI and Zeitgeist |
Lecture (Prof. Li) |
|
|
7 |
Apr 03 |
[NO CLASS] Group Project Presentation |
Video Recordings |
|
|
8 |
Apr 10 |
Digitalized Society
|
Invited Talk and Lecture - Consulting and Healthcare [ Da Yong building TBA: either 21207] |
Lecture and I.T. 1/6 |
|
9 |
Apr 17 |
Arts and Humanity [ Da Yong building 210315 ] |
Lecture and I.T. 2/6 |
|
|
10 |
Apr 24 |
Local site (confirmed) [ Off Campus ] |
Lecture and G.T. 1/3 |
|
|
11 |
May 01 |
Invited Talk and Lecture [ Da Yong building 21207 ] |
Lecture and I.T. 3/6 |
|
|
12 |
May 08 |
Invited Talk and Lecture [Administration Building 7th Floor Meeting Room #1] |
Lecture and G.T. 2/3 |
|
|
13 |
May 15 |
RAG |
Finance and Marketing [ Maker Space @ Dah Hsian Library 5F] |
Lecture and I.T. 4/6 |
|
14 |
May 22 |
Intro. to RAG [ Information Building 4F, no.5 computer room ] |
Lecture |
|
|
15 |
May 29 |
Workshop (follow-up May 22) 2:30 ~ 4:00 NCCU Computer Center, B1 Floor, Lecture Hall; |
Lecture and I.T. 5/6 |
|
|
16 |
Jun 05 |
Outreach |
Invited Talk and Lecture |
G.T. 3/3 |
|
17 |
Jun 12 |
Local + Global sites (confirmed) [ Off Campus ] |
Double check all GTs and I.T. 6/6 |
|
|
18 |
Jun 19 |
Invited Talk Sustainability + Innovation |
Internship Recruitment |
I.T. = Individual Task; G.T. = Group Task
40% Group Project Presentation - Video Recording (by Prof. Li)
30% Ind. hands-on sessions - six times (by Prof. Hsieh)
30% Group assigned tasks - three times (by Prof. Hsieh)
Extra-credit points released on Mar 13: Visit this place during your free time and then write a brief report with some photos/selfies (better), so that I can give you an extra 2 points in the final scores.)
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
| 書名 Book Title | 作者 Author | 出版年 Publish Year | 出版者 Publisher | ISBN | 館藏來源* | 備註 Note |
|---|
https://github.com/ https://www.kaggle.com/ https://aws.amazon.com/ai/generative-ai/ https://www.nvidia.com/en-us/glossary/retrieval-augmented-generation/ https://www2.deloitte.com/us/en/insights/topics/digital-transformation.html