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. |