Introduction to Artificial Intelligence
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Lecturer: Chun-I Wu (吳俊毅)
Email: wuchuni@ntou.edu.tw
Phone: (02)24622192 #3210
Course ID: M1801024
Credits: 2
Objective: This course covers fundamental theories, operation principles, and cutting-edge research in artificial intelligence.
Course Prerequisites: None
Outline:
1.Expert system
2. Artificial neural network
3.Fuzzy control system
4.Evolutionary computation
5. Machine learning
6. Deep learning.
7. Big data.
8. AI applications
Teaching Method: Lecture and class discussions
Reference: Artificial Intelligence
Course Schedule (subject to change):
1. Course Introduction, Understanding Artificial Intelligence, Development, History, and Applications of AI
2. Expert Systems and Turing Machines
3. Neural Networks (I)
4. Neural Networks (II)
5. Fuzzy Systems (I)
6. Fuzzy Systems (II)
7. Evolutionary Computation (I)
8. Evolutionary Computation (II)
9. Machine Learning (I)
10. Midterm Exam
11. Machine Learning (II)
12. Deep Learning (I)
13. Deep Learning (II)
14. Big Data (I)
15. Big Data (II)
16. AI Applications (I)
17. AI Applications (II)
18. Final Exam
Evaluation:
class participation 20%、
Midterm Exam 40%、
Final Exam 40%
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