| Academic Year |
2025Year |
School/Graduate School |
Liberal Arts Education Program |
| Lecture Code |
63063004 |
Subject Classification |
Foundation Courses |
| Subject Name |
数学演習II[1工一] |
Subject Name
（Katakana） |
スウガクエンシュウ２ |
Subject Name in
English |
Seminar in Basic Mathematics II |
| Instructor |
TSUGE NAOKI |
Instructor
(Katakana) |
ツゲ ナオキ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Tues7-8,Fri1-2：IAS K108 |
| Lesson Style |
Seminar |
Lesson Style
(More Details) |
Face-to-face |
| Seminar-oriented class |
| Credits |
1.0 |
Class Hours/Week |
4 |
Language of Instruction |
B
:
Japanese／English |
| Course Level |
1
:
Undergraduate Introductory
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
01
:
Mathematics/Statistics |
| Eligible Students |
First grade, Cluster I |
| Keywords |
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| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status within
Liberal Arts Education | As pre-specialized education, which is organically linked to specialized education, Foundation Courses are aimed at providing students with the basic knowledge necessary to understand specialized studies in their chosen areas, and thereby providing them w |
|---|
| Expected Outcome | To understand, acquire, and be able to explain the logical structure and system of the basic disciplines in accordance with each subject and the knowledge and skills necessary for further academic development. |
|---|
Class Objectives
/Class Outline |
The aim of classes is to cultivate thinking, expression, and computing powers through the exercises on calculus and linear algebra together with "Seminar in Basic Mathematics I". |
| Class Schedule |
[An Example of Class Schedule]
lesson1: Eigenvalues and Diagonalization of a Matrix (1)
lesson2: Eigenvalues and Diagonalization of a Matrix (2)
lesson3: N th power of a matrix
lesson4: Matrices and recurrence relations (1)
lesson5: Matrices and recurrence relations (2)
lesson6: Singular value decomposition and image compression (1)
lesson7: Singular value decomposition and image compression (2)
lesson8: Least squares methods (1)
lesson9: Least squares methods (2)
lesson10: Extremal Problem
lesson11: Ordinary Differential Equations (1)
lesson12: Ordinary Differential Equations (2)
lesson13: Ordinary Differential Equations (3)
lesson14: Implicit Function and Conditional Extremal Problem
lesson15: Area
lesson16: Final Examination |
Text/Reference
Books,etc. |
Textbooks will be specified at the time of the first class. |
PC or AV used in
Class,etc. |
Text, Handouts, Visual Materials, Microsoft Teams, Microsoft Stream, moodle |
| (More Details) |
Textbooks, handouts, and/or screen. |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Prepare and review as needed. |
| Requirements |
The knowledge of "Calculus I" , "Calculus II" , "Linear algebra I", "Linear algebra II" and "Applied Mathematics I" is premised. |
| Grading Method |
The grade will be based on active participation in classes, assignments, oral presentations, final examination, and/or midterm examination. |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
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| Message |
|
| Other |
【In case the number of registered students exceed 250, a computerized random selection will be carried out.】 |
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. |