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2025 (Current Year) Faculty Courses Liberal arts and basic science courses Basic science and technology courses

Linear Algebra I / Recitation H(48-53)

Academic unit or major
Basic science and technology courses
Instructor(s)
Yuichiro Taguchi / Hironobu Naoe
Class Format
Lecture/Exercise (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
1-2 Mon (M-374(H131)) / 3-4 Wed (M-374(H131)) / 3-4 Fri (M-374(H131))
Class
H(48-53)
Course Code
LAS.M102
Number of credits
110
Course offered
2025
Offered quarter
1Q
Syllabus updated
Mar 19, 2025
Language
Japanese

Syllabus

Course overview and goals

Building on elementary facts about planar and spatial vectors learned at the high-school level, this course (with recitation) focuses on higher dimensional vectors and matrices, basics and applications of determinants, and systems of linear equations.

The aim of this course is to cover the basics of linear algebra, which will be fundamental for
science and engineering.

Course description and aims

Students are expected to understand the basics of linear algebra (such as fundamental facts about matrices and determinants) which are necessary for studying science and engineering.

Keywords

Vector, matrix, determinant, system of linear equations

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills

Class flow

Besides lectures, a recitation class is opened every week in accordance with the progress of the lectures.

Course schedule/Objectives

Course schedule Objectives
Class 1

Vectors, matrices, components

Understand basics of vectors and matrices.

Class 2

Recitation class is conducted parallel to the lectures.

Cultivate a better understanding of lectures.

Class 3

Matrix operations

Understand various operations on matrices.

Class 4

Regular matrix and inverse matrix

Understand the notions of regular matrix and inverse matrix.

Class 5

Recitation class is conducted parallel to the lectures.

Cultivate a better understanding of lectures.

Class 6

Systems of linear equations and the elimination method

Understand how to solve a system of linear equations.

Class 7

Elementary transformations and elementary matrices, rank of a matrix

Understand elementary operations on matrices and the rank of a matrix.

Class 8

Recitation class is conducted parallel to the lectures.

Cultivate a better understanding of lectures.

Class 9

General method for solving a system of linear equations

Understand a more general method for solving a system of linear equations.

Class 10

Method of computing inverse matrices

Understand how to compute inverse matrices.

Class 11

Recitation class is conducted parallel to the lectures.

Cultivate a better understanding of lectures.

Class 12

Definition of determinant up to order 3, geometric meaning of the determinant.

Understand the definition of determinant and its meaning.

Class 13

Definition of determinant (arbitrary order), multi-linearity, alternating property

Understand higher-order determinants.

Class 14

Recitation class is conducted parallel to the lectures.

Cultivate a better understanding of lectures.

Class 15

Method of computing determinants, special determinants

Learn how to compute determinants.

Class 16

Expansion of determinants

Understand determinant expansions.

Class 17

Recitation class is conducted parallel to the lectures.

Cultivate a better understanding of lectures.

Class 18

Determinant of transpose, multiplicativity

Understand the determinant of a transposed matrix and of a product of matrices.

Class 19

Cramer's formula, formula for the inverse matrix

Understand various useful formulas.

Class 20

Recitation class is conducted parallel to the lectures.

Cultivate a better understanding of lectures.

Class 21

Advanced topics

Understand advanced topics in Linear Algebra.

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

『数理情報・工学系のための数学教程 基礎編2. 線形代数』
朝倉政典・落合理・北山貴裕・田口雄一郎 共著(培風館)

Reference books, course materials, etc.

None in particular.

Evaluation methods and criteria

Based on overall evaluations of the results of quizzes, reports, mid-term, and final examinations. Details will be announced in class.

Related courses

  • LAS.M106 : Linear Algebra II
  • LAS.M108 : Linear Algebra Recitation II

Prerequisites

None in particular.