| Academic Year |
2022Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Smart Innovation Program |
| Lecture Code |
WSS21101 |
Subject Classification |
Specialized Education |
| Subject Name |
材料シミュレーション特別講義 |
Subject Name
（Katakana） |
ザイリョウシミュレーショントクベツコウギ |
Subject Name in
English |
Special Lecture on Materials Simulation |
| Instructor |
See the class timetable. |
Instructor
(Katakana) |
ジュギョウジカンワリヲサンショウ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Inte |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Lecture |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
6
:
Graduate Advanced
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
07
:
Chemistry |
| Eligible Students |
|
| Keywords |
molecular simulation, machine learning |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program | |
|---|
Criterion referenced
Evaluation | |
|---|
Class Objectives
/Class Outline |
Understand basic concepts of research background of molecular simulation and machine learning based on the latest research topics. |
| Class Schedule |
lesson1-5 Molecular simulation (fundamental science)
lesson6-10 Molecular simulation (materials science)
lesson11-11 Machine learning
|
Text/Reference
Books,etc. |
Papers, print |
PC or AV used in
Class,etc. |
|
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Prints |
| Requirements |
|
| Grading Method |
Report |
| 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. |