Lecture and section information
CS 6210, Fall 2019
Lecture time: MWF 11:15-12:05
Lecture location: Hollister 306
Staff and office hours
4 credits. Stable and efficient algorithms for linear equations, least squares, and eigenvalue problems. Direct and iterative methods are considered. Julia and/or MATLAB are used extensively.
A theoretical linear algebra course (Math 4310) or permission of the instructor.
Some linear algebra references:
- Meyer, Matrix Analysis and Applied Linear Algebra
- Lay, Linear Algebra and its Applications
- Strang, Linear Algebra and its Applications
- Strang’s excellent online course is here
Some MATLAB references:
- Moler, Numerical Computing with MATLAB
- Van Loan and Fan, Insight Through Computing: A Matlab Introduction to Computational Science and Engineering
- Pratap, Getting Started with MATLAB 7
- Gilat, MATLAB: An Introduction with Applications
- Hanselman and Littlefield, Mastering MATLAB7
- Or pick a favorite from the many available
The Julia language web site has good references for the Julia language.
Readings and the problem du jour
Readings from the course notes will be listed on the course page before class. You are responsible for reading before lecture.
For most lectures, there will be a “problem of the day” related to the class material. These problems are not graded, but you should try them (and try to understand them) as a way to better learn the material – and as a way to study for the exams.
There will be nine one-week homeworks, typically assigned Monday and due the following Monday. These problems will involve a mix of proofs and computations done in Julia or MATLAB. Homework should be typed and submitted as PDF files on CMS. After they are graded, homework scores will be posted to CMS. Regrade requests must be submitted within one week of receiving the graded homework.
In order to provide timely, high-quality feedback, we may not always grade all problems in a homework or pieces to a project. Instead, we will focus our grading efforts on providing feedback on a few key points. We will provide written solutions so that you can evaluate yourself for problems where we do not grade in detail.
There will be take-home midterm and final exams.
Your final grade in CS 6210 will be computed from grades on the assignments and exams using the following weights:
- Participation: 6%
- Homework: 6% times 9 homeworks
- Midterm: 20%
- Final: 20%
The course web page is the canonical source of information for the class. The web page is maintained via a Github repository. Pull requests with enhancements or corrections are welcome (and these count toward participation).
Late work policy
Unless otherwise stated, all work is due by 11:59 pm on the due date. All homework and projects should be submitted via the course management system (CMS); you are encouraged to submit early versions, since resubmissions up to the deadline are counted without penalty.
An assignment is an academic document, like a journal article. When you turn it in, you are claiming everything in it is your original work, unless you cite a source for it.
You are welcome to discuss homework and projects among yourselves in general terms. However, you should not look at code or writeups from other students, or allow other students to see your code or writeup, even if the general solution was worked out together. Unless we explicitly allow it on an assignment, we will not credit code or writeups that are shared between students (or teams, in the case of projects).
If you get an idea from a classmate, a book or other published source, or elsewhere, please provide an appropriate citation. This is not only critical to maintaining academic integrity, but it is also an important way for you to give credit to those who have helped you out. When in doubt, cite! Code or writeups with appropriate citations will never be considered a violation of academic integrity in this class (though you will not receive credit for code or writeups that were shared when you should have done them yourself).
We expect academic integrity from everyone. School is stressful, and you may feel pressure from your coursework or other factors, but that is no reason for dishonesty! If you feel you can’t complete the work on the own, come talk to the professor, the TA, or your advisor, and we can help you figure out what to do.
For more information, see Cornell’s Code of Academic Integrity.
In the event of a major campus emergency, course requirements, deadlines, and grading percentages are subject to changes that may be necessitated by a revised semester calendar or other circumstances. Any such announcements will be posted to the course home page.