Course title
線形代数学Ⅰ   [Linear Algebra Ⅰ]
Course category technology speciality courses  Requirement   Credit 2 
Department   Year 14  Semester 1st 
Course type 1st  Course code 021904
Instructor(s)
中園 信孝   [NAKAZONO Nobutaka]
Facility affiliation Faculty of Engineering Office building 12, room 227  Email address

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. Permutations I
8. Permutations II
9. Determinants I
10. Determinants II
11. Exercises on calculations of determinants
12. Cofactor matrices and Cramer’s formula
Prerequisites
In addition to the time 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
Miyake Toshitsune, “Nyuumon-Senkei-Daisuu”, Baifu-kan (in Jananese)
References
Assessment/Grading
The grade evaluation in this online class is premised on all attendances, and comprehensively evaluates the attitude to learn, quizzes, report, and online tests. Standard study time set by the our university is required to get the grade. The rate of evaluation is as follows: Normal score: 10%, quizzes, assignment test and online test: 90%. Grade will be given according to the following criteria by comprehensive evaluation: S: 90 points or more, A: 80 or more and less than 90 points, B: 70 or more and less than 80 points, C: 60 or more and less than 70 points.
Message from instructor(s)
Course keywords
Matrix, Rank, System of linear equations, Determinant, Inverse matrix
Office hours
Please email me before you visit my office. I will arrange the meeting time.
Remarks 1
Please check Google Classroom before attending every class.
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
1/8/2021 11:24:37 AM