| Academic Year |
2024Year |
School/Graduate School |
Graduate School of Integrated Sciences for Life (Master's Course) Division of Integrated Sciences for Life Program of Mathematical and Life Sciences |
| Lecture Code |
WG117002 |
Subject Classification |
Specialized Education |
| Subject Name |
大規模計算・データ科学 |
Subject Name
（Katakana） |
ダイキボケイサンデータカガク |
Subject Name in
English |
High-Performance Computing and Data Science |
| Instructor |
AWAZU AKINORI |
Instructor
(Katakana) |
アワヅ アキノリ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 2Term |
| Days, Periods, and Classrooms |
(2T) Tues1-4：Online |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Lecture, Practice |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese／English |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
|
| Keywords |
Computational science, Simulation, Data science, Bioinformatics |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
In this lecture, large-scale computational science and data science will be introduced. |
| Class Schedule |
Lesson 1: General introduction
Lesson 2 - 8 : Introduction of high-performance computing and their applications.
Lesson 9 - 15 : Introduction of statistical and machine learning methods to analyze biological data. |
Text/Reference
Books,etc. |
Instructed at the class (English handouts upon request). |
PC or AV used in
Class,etc. |
|
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Students are encouraged to apply the techniques to their own research. |
| Requirements |
|
| Grading Method |
Reports |
| 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. |