| Academic Year |
2024Year |
School/Graduate School |
School of Integrated Arts and Sciences Department of Integrated Arts and Sciences |
| Lecture Code |
ANM27001 |
Subject Classification |
Specialized Education |
| Subject Name |
計算科学 |
Subject Name
（Katakana） |
ケイサンカガク |
Subject Name in
English |
Computational Science |
| Instructor |
INAGAKI TOMOHIRO,MURAKAMI YUKO |
Instructor
(Katakana) |
イナガキ トモヒロ,ムラカミ ユウコ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Mon1-4：IAS K206 |
| Lesson Style |
Lecture/Seminar |
Lesson Style
(More Details) |
|
| Lecture and Exercise |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese／English |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
|
| Keywords |
modeling, computational science, numerical simulation |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | The students will learn a wide area of the computational science though the numerical simulation. |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | Integrated Arts and Sciences
（Knowledge and Understanding）
・Knowledge and understanding of the importance and characteristics of each discipline and basic theoretical framework.
（Abilities and Skills）
・The ability and skills to specify necessary theories and methods for consideration of issues. |
|---|
Class Objectives
/Class Outline |
In this course, we learn an overview of the numerical simulation, and foundations of the cumputational science, basic algorithms for the numerical analysis and procedures to evaluate the numerical result. |
| Class Schedule |
lesson1 Modeling and computer simulation
lesson2 Programing for numerical analysis
lesson3 Problems solved by numerical simulation
lesson4 Non-linear phenomena
lesson5 Random number
lesson6 Mote Carlo method
lesson7 Stochastic simulation
lesson8 Analysis by stochastic simulation
lesson9 Numerical algorithm
lesson10 Simultaneous equations
lesson11 Regression analysis
lesson12 Least square method
lesson13 Model prediction
lesson14 Ridge regression
lesson15 Summary
Assignments for each theme are imposed
In order to match the level of students, we may modify the schedule written here. |
Text/Reference
Books,etc. |
Basically, teaching materials will be provided online. |
PC or AV used in
Class,etc. |
|
| (More Details) |
Computer |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
It is recommended to improve the program shown in the class and always see the result. |
| Requirements |
The course assumes basic knowledge of linear algebra and differential and integral calculus. |
| Grading Method |
The overall grade is evaluated based on the assignments (70%) and the final project (30%). |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
The theme of the course is a simulation of various phenomena, their modeling and the type of simulation. It is expected that the students will understand the basic concepts through the practical programming.
|
| Other |
The language of instruction will be decided and announced by the instructor on the first day of class based on the language proficiency of the students. |
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. |