Hiroshima University Syllabus

Back to syllabus main page
Japanese
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)
 
Lecture-oriented class 
Credits 2.0 Class Hours/Week   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
Keywords  
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 OutcomeTo 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.
 
(More Details) Textbook, handouts, and/or screen. 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Prepare and review as needed. 
Requirements  
Grading Method The grade will be based on final examination, midterm examination, and/or assignments. 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
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. 
Back to syllabus main page