Course title
AI入門   [Introduction to Artificial Intelligence]
Course category	technology speciality courses	Requirement		Credit	2
Department		Year	2～4	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. Review of Python 2. Perceptron 3. Regression 4. Classification 5. Neural network 6. Learning in neural network 7. Learning in neural network 8. Convolutional neural network (CNN) 9. Convolutional neural network (CNN) 10. Recurrent neural network (RNN) 11. Recurrent neural network (RNN) 12. Auto encoder 13. Auto encoder 14. AI software 15. AI software

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

English

Language Subject

Last update

4/26/2020 9:16:55 AM