Nagoya University, School of Engineering Lecture information system (SYLLABUS)

Mathematics Tutorial II b(1.0 credits)

Code:10830
Course Type:Basic Specialized Courses
Class Format:Exercise
Course Name : Chemistry Fundamental and Applied Physics Automotive Engineering Automotive Engineering
Starts 1 : 1 Spring Semester 1 Spring Semester 1 Spring Semester 1 Spring Semester
Elective/Compulsory : Elective Elective Elective Elective
Lecturer : BACHMANN Henrik Designated Associate Professor 

•Course Purpose
Understand the concepts of the course Linear Algebra II in more detail by going through a lot of exercises and examples. All information on this course will be available on the course page: https://www.henrikbachmann.com/la2_2022.html
The objective of this course is to provide essential mathematical knowledge necessary to further studies in mathematics and science at university level. The course is primarily intended for students taking the course Linear algebra II.

•Prerequisite Subjects
Check with the instructor in charge.

•Course Topics
Vector spaces, determinants and their applications, eigenvalues and eigenvectors, applications of eigenvalue theory, continuous dynamical systems, linear differential equations.

•Textbook
There is no textbook

•Additional Reading
Otto Bretscher: Linear Algebra with Applications, fourth edition, Pearson

•Grade Assessment
The assessment of this course is the same as the assessment of the course Linear Algebra II.
Any student who does not participate in the final exam will receive the grade “Absent”. It is not necessary to submit a course withdrawal request form.

•Notes
While not a formal requirement, Linear Algebra I is strongly recommended.
Check https://www.henrikbachmann.com/la1_2021.html for the content of Linear Algebra I.
Check with the instructor in charge.

•Contacting Faculty
You can always contact me via email or social media. Office hours can be provided face-to-face or via Zoom at any time. There will be a Facebook group for communication.
Email: henrik.bachmann@math.nagoya-u.ac.jp

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