Academic Year |
2024Year |
School/Graduate School |
Liberal Arts Education Program |
Lecture Code |
63071010 |
Subject Classification |
Foundation Courses |
Subject Name |
線形代数学II[1情] |
Subject Name (Katakana) |
センケイダイスウガク2 |
Subject Name in English |
Linear AlgebraII |
Instructor |
NAGAHARA MASAAKI |
Instructor (Katakana) |
ナガハラ マサアキ |
Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 3Term |
Days, Periods, and Classrooms |
(3T) Mon9-10,Thur9-10: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 together with "Linear Algebra I". |
Class Schedule |
[An Example of Class Schedule] lesson1: Vector Space and Linear Subsapce lesson2: Linear Dependence and Independence lesson3: Linear Spaces lesson4: Maximum Number of Independent Vectors lesson5: Basis and Dimension lesson6: Mapping lesson7: Linear Mapping and Transformation Matrices lesson8: Image and Kernel of Linear Mapping lesson9: Inner Product Space lesson10: Orthonormal Basis lesson11: Orthonormal Matrices and Unitary Matrices lesson12: Eigenvalues and Eigenvectors lesson13: Diagonalization of a Matrix lesson14: Schur Triangulation lesson15: Eigendecomposition of a Real Symmetric Matrix |
Text/Reference Books,etc. |
Gilbert Strang, Linear Algebra for Everyone https://math.mit.edu/~gs/everyone/ |
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 |
The knowledge of "Llinear Algebra I" is premised. |
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. |