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

Linear Algebra I / Recitation K(68-73)

Academic unit or major
Basic science and technology courses
Instructor(s)
Toshiaki Hattori / Densuke Shirashi
Class Format
Lecture/Exercise (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
1-2 Tue / 1-2 Wed / 3-4 Thu
Class
K(68-73)
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)

Kyoyo no Senkei Daisu, Masayasu Murakami et al., Baifukan

Reference books, course materials, etc.

Senkei Daisu Nyumon, Masahiko Saito, Tokyo Daigaku Syuppankai

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.