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Linear Algebra I
Tetsuya SHIROMIZU Professor
Department: Institute of Liberal Arts & Sciences
Class Time:  2016 Spring Wednesday 
Recommended for:  School of Science 2nd year students 
Course Overview
Course Overview
"Linearity" is the most basic concept used for numerical methods in many fields of modern science, and linear algebra is the mathematical method that addresses linearity. In the first half of this oneyear course, this class aims at mastering the mathematical treatment of matrices, and understanding their concepts. Particularly, this course will focus on understanding a geometrical understanding of matrices through coordinate geometry (planar, spatial), mastering solving systems of linear equations, and understanding the concepts of determinants.
Course Features
Linear algebra is one of the basic languages used widely in all natural sciences. First, students will learn how matrices and determinants are introduced from familiar planar and spatial vectors. Then, students will gradually get used to matrices and determinants through calculations. Moreover, students will experience how useful they are for solving systems of linear equations.
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Syllabus
Course Schedule
 1. Planar and spatial vectors
 By learning the equations, directional vectors, and normal vectors of straight lines and planes, students will develop a geometrical understanding of equations. Also, students will understand the relation between rotations inside a plane and matrices, and the geometrical meaning of determinants.
 2. Matrices
 Students shall understand the basic concept of matrices and master the rules of operation.
 3. Determinants
 Students will master basic properties and calculations of determinants. Moreover, students will learn the relationship between nonsingularity and determinants of matrices
 4. Elementary operations on matrices and systems of linear equations.
 Through elementary operations on matrices, students will understand the concept of rank and their relationship with systems of linear equations. In addition, students will master how to distinguish regular (nonsingular) matrices and how to calculate inverse matrices.
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Page last updated July 10, 2018
The class contents were most recently updated on the date indicated. Please be aware that there may be some changes between the most recent year and the current page.