| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| This course intends to introduce the concepts of Artificial Intelligence (AI) and its implementations. Also, each student should learn how to code and apply the algorithms so as to analyze the real-world problems. |
|
|
| topic Discussion/Production |
| Lecturing |
| Exercises |
| Discussion |
|
| Attendance |
| Assignment |
| Internship |
| Oral Presentation |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction to Artificial Intelligence (AI) |
| Week 2 |
Applications of AI and Its Problem Solving |
| Week 3 |
The Introduction of AI Procedure - I |
| Week 4 |
The Introduction of AI Procedure - II |
| Week 5 |
The Types of Machine Learning |
| Week 6 |
Machine Learning - Classification |
| Week 7 |
Machine Learning - Regression |
| Week 8 |
Project Proposal |
| Week 9 |
Machine Learning - Summary |
| Week 10 |
Introduction to Neural Network (NN) - I |
| Week 11 |
Introduction to Neural Network (NN) - II |
| Week 12 |
Implementation - I |
| Week 13 |
Implementation - II |
| Week 14 |
Implementation - III |
| Week 15 |
Data Visualization |
| Week 16 |
Final Presentation |
| Week 17 |
Self-directed Learning I - Participate in relevant lectures, workshops, or seminars using materials designated by the instructors. |
| Week 18 |
Self-directed Learning II - Participate in relevant lectures, workshops, or seminars using materials designated by the instructors. |
|
| Evaluation |
| Homework/Participation (40%), Project Proposal (20%), Final Presentation (30%), Self-directed Learning Report (10%) |
| Textbook & other References |
Main Textbook: Handout
● Mohri, M., Rostamizadeh, A., & Talwalkar, A. (2018) Foundations of Machine Learning (2/e), MIT Press, ISBN: 9780262039406.
● Albon, Chris (2018) Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning, O’Reilly, ISBN: 9781491989388.
|
| Teaching Aids & Teacher's Website |
| The course materials would be found at ilearn. |
| Office Hours |
| Wednesday 10:00-11:00 am or please contact the teacher to arrange a meeting time. |
| Sustainable Development Goals, SDGs |
| 04.Quality Education | include experience courses：N |
|