Academic Year |
2024Year |
School/Graduate School |
Liberal Arts Education Program |
Lecture Code |
63013001 |
Subject Classification |
Foundation Courses |
Subject Name |
基礎線形代数学[1経] |
Subject Name (Katakana) |
キソセンケイダイスウガク |
Subject Name in English |
Basic Linear Algebra |
Instructor |
ZHENG JUNJUN |
Instructor (Katakana) |
テイ シュンシュン |
Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 4Term |
Days, Periods, and Classrooms |
(4T) Fri5-8:IAS K211 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
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Lecture-oriented class |
Credits |
2.0 |
Class Hours/Week |
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Language of Instruction |
J
:
Japanese |
Course Level |
1
:
Undergraduate Introductory
|
Course Area(Area) |
25
:
Science and Technology |
Course Area(Discipline) |
01
:
Mathematics/Statistics |
Eligible Students |
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Keywords |
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Special Subject for Teacher Education |
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Special Subject |
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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 |
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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 acquire basic knowledge and skills about the linear algebra. |
Class Schedule |
[An Example of Class Schedule] lesson1: Calculation of Matrices (1) lesson2: Calculation of Matrices (2) lesson3: Definition of Determinant lesson4: Properties of Determinant lesson5: Laplace Expansion of Determinant lesson6: Formula of Inverse Matrix and Crammer's Rule lesson7: Elementary Row Operation and Simultaneous Linear Equations (1) lesson8: Elementary Row Operation and Simultaneous Linear Equations (2) lesson9: Rank of a Matrix and Calculation of a Inverse Matrix lesson10: Linear Dependence and Linear Independence lesson11: Linear Transformation lesson12: Eigenvalues and Eigenvectors lesson13: Diagonalization of a Matrix (1) lesson14: Diagonalization of a Matrix (2) lesson15: Final Examination |
Text/Reference Books,etc. |
The textbook will be specified at the time of the first class. |
PC or AV used in Class,etc. |
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(More Details) |
Textbook, handouts, and/or screen. |
Learning techniques to be incorporated |
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Suggestions on Preparation and Review |
Prepare and review as needed. |
Requirements |
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Grading Method |
The grade will be based on final examination, midterm examination, and/or assignments. |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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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. |