| Academic Year |
2022Year |
School/Graduate School |
Common Graduate Courses (Doctoral Course) |
| Lecture Code |
8E550202 |
Subject Classification |
Common Graduate Courses |
| Subject Name |
パターン認識と機械学習 |
Subject Name
（Katakana） |
パターンニンシキトキカイガクシュウ |
Subject Name in
English |
Pattern Recognition and Machine Learning |
| Instructor |
AKASE DAI |
Instructor
(Katakana) |
アカセ ダイ |
| Campus |
Across Campuses (videoconferencing, etc.) |
Semester/Term |
1st-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Inte：Online |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Video Lecture |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
|
| Keywords |
machine learning, deep learning, python |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program | This course is one of the elective subjects, in "Career Development and Data Literacy Courses", Common Graduate Courses that aims to learn about the development of the current social systems, to gain knowledge needed for the future, to specifically tackle the challenges facing modern society and to acquire the ability to use knowledge and skills. |
|---|
Criterion referenced
Evaluation | |
|---|
Class Objectives
/Class Outline |
This course offers students the opportunity to learn machine learning to do python exercises. |
| Class Schedule |
Introduction
Machine Learning
Supervised Learning
Unsupervised Learning
Deep Learning
Reinforcement Learning
Assignments |
Text/Reference
Books,etc. |
Not Specified. |
PC or AV used in
Class,etc. |
|
| (More Details) |
Lecture Videos |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Students can view lecture videos any time. |
| Requirements |
|
| Grading Method |
Assignments |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |