Course title
AI入門   [Introduction to Artificial Intelligence]
Course category technology speciality courses  Requirement   Credit 2 
Department   Year 24  Semester 3rd 
Course type 3rd  Course code 022264
Instructor(s)
高木 康博   [TAKAKI Yasuhiro]
Facility affiliation Faculty of Engineering Office New Building #1, N201  Email address

Course description
Recently, there is remarkable developments on the artificial intelligence (AI) and its application to the medical field is rapidly expanding. This lecture gives the basic concepts of AI based on the deep neural network and also the explanations about the latest AI techniques. After learning Python, several famous AI algorithms are learned. The usage of the recent AI libraries is also learned.
Expected Learning
Students should be able to make fundamental AI programs using scikit-learn and TensorFlow.
See the Curriculum maps.
Course schedule
1. Introduction
2. Review of Python
3. Review of Python, Class
4. Overview of machine learning
5. Regression(1)
6. Regression(2)
7. Classification
8. Clustering
9. Perceptron
10. Neural network
11. Back propagation
12. Deep neural network (DNN)
13. Convolutional neural network (CNN)
14. Recurrent neural network (RNN)
15. Summary
Prerequisites
"Computer Programming I & Practices (Department of Biomedical Engineering, 1st year) should have been studied. Students are recommended to prepare for and revise the lecture, spending the standard amount of time as specified by the University.
Required Text(s) and Materials
No specified textbooks.
References
Reference books are introduced in the lessons.
Assessment/Grading
Reports (30 %) and final examination (70%)
Message from instructor(s)
You can learn programming of AI.
Course keywords
AI, Neural network, Deep learning, Image processing
Office hours
Thursday, 13:00-15:00, New building 1, N201
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
1/31/2022 2:40:06 PM