| Course title | |||||
| 線形代数学Ⅰ [Linear Algebra Ⅰ] | |||||
| Course category | technology speciality courses | Requirement | Credit | 2 | |
| Department | Year | 1～4 | 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 |
| 4/22/2020 10:54:03 AM |