MATH 430-01/603-01, Class Number 4998/5275, Spring 2015
Matrix Analysis

Course information

Course: MATH 430/603 Matrix Analysis
Time/Place: TuTh 2:30PM - 3:45PM, Performing Arts & Humanities 107
Instructor: Dr.  Jacob Kogan Teaching Assistant: Samuel Khuvis
Office: MP 427 SOND 401
Phone: 410-455-3297
Email: kogan at math.umbc.edu khsa1@umbc.edu
Office hours: TuTh 4:15PM-5:15PM and by appointment Tu 1PM-2PM

Pi Mu Epsilon: The Buddy System

Textbook: Matrix Analysis and Applied Linear Algebra, by Carl Meyer, SIAM, 2000.

(you may want to check chegg, or fetchbook, or vew the book, or download.)
Some Other Relevant Books: Prerequisites: Math 221, Math 251 and Math 301 or permission of instructor. You will be expected to do proofs and we will discuss proofs a lot in class.

Your Review: I will assume that by Friday, January 30 you have reviewed the following sections from Meyer's book: 1.2, 1.3, 2.1-2.5, 3.2, 3.5 and you can handle related problems. The material is basically the same as that covered in Sections 1.1-1.8, 2.1-2.3 of Lay's book (the Math 221 text). We will use this review material extensively in our course, but I will not discuss it in class. I will assign homework on this material.

Material Covered: In class we will cover the following sections/chapters of Meyer's book: Sections 3.3-3.10, 4.1-4.8, 5.1-5.15, Chapter 6, Sections 7.1-7.8, 8.2-8.4. Some sections may be omitted.

Grading

Grades: Project 20 pt (grad. students), Four Quizzes 20 pt each, Final 40pt
Homework: The homework problems will be posted on the course web page for each week of class. Problems assigned on Thursday will be due at the start of class the following Tuesday. You may ask me questions about the homework and you may collaborate with another student in the class and you are encouraged to do so. However the quizzes and final write up is your own [two (almost) identical solutions may both be given zero]. I do not encourage large groups of people to work together on homework. Do not miss class to complete a homework.
Project: The project is due Tuesday, May 5 at the start of class. You should start it now! See below for more details.
Quizzes: There will be four quizzes. The tentative dates are: The exact dates and material covered will be announced in class at least a week before the quiz.
There will be no make up quizzes.

Final Exam: Thursday, May 14, 1:00pm-3:00pm. The final will be based on the whole course [solutions].
There will be no make up final.

Project: The project is based on one of the articles
  1. The $25,000,000,000 Eigenvector: The Linear Algebra Behind Google by Kurt Bryan and Tanya Leise, SIAM review, Vol. 48, Num. 3, Sept. 2006, pp. 567-581
  2. A Survey on PageRank Computing by Pavel Berkhin, Internet Mathematics, Vol. 2, No. 1, pp. 73-120
The project is due Tuesday, May 5, 2015 at the start of class. You are to work in a group of two. Both students are expected to contribute equally to the work. Submit ONE project write up, both are expected to present the paper. If you elect to work on the project with a partner, then you must send me email stating who you are working with by Thursday, February 26, 2015 [the list]. You are encouraged to start working immediately. The project only relies on an understanding of Math 221 material.

In your project write up you summarize the main points of the paper. Let me know if you have questions or you get stuck!

Letter grade cutoffs are expected to be the following:
Percentage ≥ 90% 89% ≥ and ≥ 80% 79% ≥ and ≥ 70% 69% ≥ and ≥ 60% 59% ≥
Letter Grade A B C D F

Remember: Mathematics is NOT a spectator sport.
Read through the relevant section of the text before each lecture.
extra credit problems
old comps

The Official UMBC Honors Code

By enrolling in this course, each student assumes the responsibilities of an active participant in UMBC's scholarly community in which everyone's academic work and behavior are held to the highest standards of honesty. Cheating, fabrication, plagiarism, and helping others to commit these acts are all forms of academic dishonesty, and they are wrong. Academic misconduct could result in disciplinary action that may include, but is not limited to, suspension or dismissal.

To read the full Student Academic Conduct Policy, consult the UMBC Student Handbook, the Faculty Handbook, or the UMBC Policies section of the UMBC Directory.