| Academic Year |
2025Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Electrical, Systems, and Control Engineering Program |
| Lecture Code |
WSG20201 |
Subject Classification |
Specialized Education |
| Subject Name |
数理学Ｂ |
Subject Name
（Katakana） |
スウリガクビー |
Subject Name in
English |
Mathematics B |
| Instructor |
TSUGE NAOKI,KAWASITA WAKAKO |
Instructor
(Katakana) |
ツゲ ナオキ,カワシタ ワカコ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Weds3-6：ENG 101 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face, Online (on-demand) |
Lectures and exercises，
Some of the classes may be held online (on-demand). (Details will be announced later.) |
| Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
J
:
Japanese |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
01
:
Mathematics/Statistics |
| Eligible Students |
|
| Keywords |
Optimal allocation problems, Game theory, Queueing theory, Matching, Compressible fluids, Biological models, Mathematical models |
| 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 |
Understanding how to create mathematical models from everyday phenomena. Being able to analyze mathematical models using mathematical methods. Being able to compare the results obtained from a mathematical model with the original phenomenon and modify the mathematical model. Understanding queuing theory. |
| Class Schedule |
lesson1 Optimal placement problem 1: Optimal placement of bus stops
lesson2 Optimal placement problem 2: Ice cream stand problem
lesson3 Two-player zero-sum game
lesson4 Scissors and Bernoulli curve
lesson5 Matching Theory
lesson6 Queuing theory 1: Modeling
lesson7 Queuing theory 2: Poisson distribution
lesson8 Queuing theory 3: M/M/1 queueing Model
lesson9 Queuing theory 4: Probability density function and expectation
lesson10 Queuing theory 5: Applications of queuing theory
lesson11 Compressible Fluid Mechanics: Theory and Analysis of Internal Flows
lesson12 Biological model: predator・prey problem
lesson13 Topic (Kawashita)
lesson14 Topic (Kawashita)
lesson15 Creation and discussion of mathematical model
Quizzes and reports |
Text/Reference
Books,etc. |
none |
PC or AV used in
Class,etc. |
Microsoft Teams, moodle |
| (More Details) |
|
| Learning techniques to be incorporated |
Post-class Report |
Suggestions on
Preparation and
Review |
From the second class onwards, quizzes will be conducted based on the content of the previous class. Therefore, please review the content of the previous class before attending class. |
| Requirements |
|
| Grading Method |
More than 60% of the quizzes and reports are graded
|
| 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. |