Week 1 (2/21): Introduction of the Course
Week 2 (2/28): 228 Peace Memorial Day
Week 3 (3/7): AI’s Development
Required Reading:
Agrawal, A., Gans, J. and Goldfarb, A., 2018. Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Press. Chapter 1 & 2
Week 4 (3/14): Data and Basic Deep Learning
Required Reading:
Krohn, J., Beyleveld, G. & Bassens, A,. 2019. Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence. Addison-Wesley Professional; 1st edition. Chapter 5-7
Week 5 (3/21): Convolution Neural Network
Required Reading:
Krohn, J., Beyleveld, G. & Bassens, A,. 2019. Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence. Addison-Wesley Professional; 1st edition. Chapter 10
Week 6 (3/28): Recurrent Neural Network (RNN)
Required Reading:
Leifer, L., Lewrick, M., & Link P. (2018). The Design Thinking Playbook. New York: Wiley. Chapter 11 : NETWORKS DESIGNED FOR SEQUENTIAL DATA
Week 7 (4/4): Spring Break
Week 8 (4/11): Round Table 1
Week 9 (4/18): RNN for Natural Language Processing
Required Reading:
Leifer, L., Lewrick, M., & Link P. (2018). The Design Thinking Playbook. New York: Wiley. Chapter 11-13
Week 10 (4/25): Transformer and BERT: The Game-changing NLP Models
Week 11 (5/2): Introduction AIGC and ChatGPT’s Application
Week 12 (5/9): Round Table 2: AI Project Proposal
Week 13 (5/16): Advanced AIGC and ChatGPT’s Application I
Week 14(5/23): Advanced AIGC and ChatGPT’s Application II
Week 15(5/30): Round Table 3
Week 16 (6/7): Final Presentation
Week 17 (6/14): Final Paper Workshop
Week 18 (6/21): Final Paper Writing
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