SemesterSpring Semester, 2025
DepartmentSelective courses of master level,College of Commerce
Course NameArtificial Intelligence in Business Applications
InstructorTZENG YU-YING
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule

Tentative Course Schedule (Subject to change)



 


































































































































































週次



Week



課程主題



Topic



課程內容與指定閱讀



Content and Reading Assignment



教學活動與作業



Teaching Activities and Homework



學習投入時間



Student workload expectation



課堂講授



In-class Hours



課程前後



Outside-of-class Hours



1



 



An Introduction to the course



 



3



0



2



Machine Learning


The Fuel and Jewel behind AI is Data Introduction to Anaconda and Google colabatory

3



6



3



Machine Learning


Machine Learning and the Learning Map Coding Basic

3



6



4



Machine Learning



Machine learning: Regression


Coding Basic

3



6



5


  National Day-No Class  

0



3



6



Machine Learning


Where does error come from? Finance Project: Forecast Stock Price

3



6



7



Machine Learning


Machine learning: Classification Finance Project: Forecast Stock Price

3



6



8



Machine Learning


Machine learning: Unsupervised methods: Clustering Digital Marketing Project: Who is our targeting customer?

3



6



9



Artificial Intelligence



Artificial Intelligence: Deep Learning


Digital Marketing Project: Who is our targeting customer?

3



6



10



Artificial Intelligence



Artificial Intelligence: CNN Image Processing



Practice Exercise during and after class



3



6



11



Artificial Intelligence



Artificial Intelligence: RNN stock price



Practice Exercise during and after class



3



6



12



Artificial Intelligence



Artificial Intelligence: Reinforcement Learning



Practice Exercise during and after class



3



6



13



Artificial Intelligence



Project: Credit Risk



Practice Exercise during and after class



3



6



14



Artificial Intelligence



AI in Fintech



Practice Exercise during and after class



3



6



15



Artificial Intelligence



Ethical and Legal Considerations in AI



Practice Exercise during and after class



3



6



16



Project Presentation



Final Project Presentations



Practice Exercise during and after class



3



6



17



Project Presentation



Final Project Presentations



Reviews of Week 10-16



3



6



18



Project Presentation



Final Project Presentations



 



3



6



Teaching Methods
Teaching Assistant

To be announced in class.


Requirement/Grading

Your final course grade will be determined by: Homework(Group Project), Quizzes (Attendance), and Final Project


Textbook & Reference

Geron, Hands-on Machine Learning with Scikit-Learn and TensorFlow, 2018


Urls about Course
Attachment