Linear Algebra 嘥
Course description
	Linear algebra provides indispensable tools to analyze various mathematical phenomena appearing in engineering. In this course, we will learn various computations based on matrices so that we can treat more abstract notions such as vector spaces at hand.
Expected Learning
	The goal of this course is to be capable of performing basic operations on matrices. Corresponding criteria in the Diploma Policy: See the Curriculum maps
Course schedule
	1. Definition of matrices 2. Matrix operations 3. Block divisions of matrices 4. Elementary transformations, row echelon form of matrices and ranks 5. Solving systems of linear equations 6. Regular matrices and their inverses 7. Review, and midterm examination 8. Permutations I 9. Permutations II 10. Determinants I 11. Determinants II 12. Exercises on calculations of determinants 13. Cofactor matrices and Cramer乫s formula 14. Exercises for all the contents 15. Review, and Term examination
Prerequisites
	In addition to 30 hours that students spend in the class, students are recommended to prepare for and revise the lectures, spending the standard amount of time as specified by the University and using the lecture handouts as well as the references specified below.
Required Text(s) and Materials
	Textbooks will be introduced in the first lecture, if necessary.
References
	Miyake Toshitsune, 乬Nyuumon-Senkei-Daisuu乭, Baifu-kan (in Jananese)
Assessment/Grading
Message from instructor(s)
Course keywords
	Matrix, Rank, System of linear equations, Determinant, Inverse matrix
Office hours

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