The focus of the course will be the understanding of matrix theory, that is the study of techniques for solving problems from linear algebra and mathematical analysis.
In order to fully benifit from the course, students are expected to only conduct and submit their own, personal work.
Details related to the instructors, and the TA are summarized in the following table.
| Instructors and TA | Contact | Office hours | Location |
|---|---|---|---|
| Jinyan Fan | jinyanfan@sjtu.edu.cn | TBA[1] | Mathematical Sciences School, 2206. |
| Kai Liu | liu1995@sjtu.edu.cn | TBA | Dorm, S34-106 |
| Xuan Tao | 706744945@qq.com | TBA | Dorm, N55 |
The Autumn semester is 14 weeks long, including one week for the review class.
At the end of this course, students should be provided with a solid basis for any furthur study in the field of matrix computation.
Other goals mentioned to be fullfilled:
All assignments can be found in the textbook, along with its reference answer. But eletronic version is highly recommended. For example, you can write in $\LaTeX$ and implement the computation by Matlab, python, etc.
Though the final weights more, assignments are also important to grade your work.
Any late submission will result in a 10% deduction per day from the grade of the corresponding work. After three days no submission will be accepted.
Any work submitted before the deadline and fully written in $\LaTeX$ will be a 10% bonus. Extra marks resulting from this bonus cannot lead to a grade lager than a full grade.
Copying the work of others will result in severe penalties.
The following references and links can be used to find information relevant to the course.
To improve communication between the students and the teaching team, please observe the following guidelines.
Comments on the blog site can be used and I hope most of you have a try.Appointments outside of the office hours can be taken by email. ↩︎