MAT 167 Syllabus Page (Spring 2004)
Course: MAT 167-001: Advanced Linear Algebra
CRN: 69752
Class: MWF 10:00am-10:50am, Cruess 107
Instructor: Naoki Saito
Office: 675 Kerr
Email: saito@math.ucdavis.edu
Office Hours: MW 11:00am-12:30pm
TA: Wei Yu
Office: 476 Kerr
Email: yuwei@math.ucdavis.edu
Office Hours: Tu: noon-1:00pm, Th: noon-2:00pm
Course Objectives:
- To learn important concepts of linear algebra, such as vector
spaces, basis, linear transformations, projections, least squares
method, eigenvalues, and eigenvectors.
- To understand the importance of linear algebra and learn its
applicability to practical problems, i.e., how the linear equations and
eigenvalue problems appear in some practical applications.
- To enhance your understanding of the above concepts through
MATLAB-based projects.
Topics:
- Review of Gaussian Elimination, Row Echelon Forms, LU Factorization
- Review of Vector Spaces, Subspaces, Linear Independence, Bases, Rank,
Linear Transformations
- Norms, Inner Products, Orthogonal Bases, Gram-Schmidt
Orthogonalization, QR Factorization
- Range-Nullspace Decomposition, Singular Value Decomposition
- Projections, Least Squares Problems, Data Fitting/Regression
- Eigenvalues, Eigenvectors, Diagonalization, Positive Definite
Matrices, Jordan Normal Form
- Discrete Fourier Transform, Applications to Image Processing,
Statistics, and Inverse Problems
Text:
- The following textbook is required:
Carl D. Meyer: Matrix Analysis and Applied Linear Algebra, SIAM,
2000, ISBN: 0-89871-454-0.
- We will review Chapters 1, 2, 3, but our emphasis is on Chapters 4, 5, and 7. Exact coverage for the exams will be announced later.
- Note that this textbook has its official website: http://matrixanalysis.com/.
Over there, you can find a lot of useful information. In
particular, you should check out the currently known errata for
both the main textbook and the solution manual.
Prerequisite:
- MAT 22A (i.e., understanding of elementary linear algebra).
- Some experience in MATLAB is preferable. If you do not
know how to use MATLAB, then you need to self-study using the MATLAB
Primer and other materials listed below.
Attendance:
Formal attendance will not be taken. However, I strongly
encourage you
to attend
class regularly. I often talk about some of my own experiences and
perspectives
on linear algebra, which are not really written in the textbook.
Also, I plan to distribute handouts from time to time. Whether you are
able to attend class or not, you are responsible for
all the materials
presented in class. While I will try to post class
announcements via email or on the class web pages, it is your
responsibility to find out what happened
if you miss class.
Class Web Page:
Class Mailing List:
The MAT 167 Mailing List was created. I will use this list to announce
some
important information. You can also submit your emails (must be related
to the class) to this mailing list. If you send your email to this
list,
then everyone will receive it. So, please use this wisely and politely.
Once I had two students in the class who started discussing certain
aspects
of the exercise problem and sent back and forth about 10 emails to the
mailing list in a few hours, and everyone else got fed up...
The mailing list name is: mat167-s04@ucdavis.edu
.
Grading Scheme:
- 20% Homework
- 10% Computer Projects
- 25% Midterm Exam (in class, Wednesday, May 5, 2004)
- 45% Final Exam (1:30pm-3:30pm, Wednesday, June 16, 2004)
Homework:
- I will assign homework problems after every class via Homework Page, so please
check that page regularly.
I strongly encourage you to do the homework on a regular basis.
I will collect homework every Friday at the beginning of class. LATE
HOMEWORK WILL NOT BE ACCEPTED.
-
Staple your homework papers together, and write the due date and your name
on the upper right corner of your paper.
- Please write neatly, accurately, and legibly.
- It is not enough to merely write the final answers.
You must justify your answers by clearly stating your reasoning and
showing your computation.
This point is particularly important since the solution
manual comes with the textbook.
-
You are also encouraged to write in complete sentences. The reader has explicit
instructions to penalize you if your work cannot be followed.
- A subset of these problems will be graded and returned on the following
Friday at the end of class. I will not include the score of the worst
performed homework when computing your grade.
Note: This is a 4 unit course! In practical terms,
that means you are expected to work 3 hours at home for each hour of lecture.
In other words, expect to have 9 to 10 hours of homework each week.
Computer-based Projects:
I will also assign a set of projects using MATLAB, once in April and
once in May.
These will become invaluable experience for you. Your understanding of
linear algebra will deepen by doing these projects.
See Computer Projects Page and the MATLAB Access section below.
Exams:
There will be one midterm and a final examination. The midterm is
scheduled for Wednesday, May 5 in class. The final exam will be 1:30pm-3:30pm,
Wednesday, June 16 at Cruess 107.
Also, be sure to note the following policies: - All exams are
closed book. You may not use the textbook, crib sheets, notes, or any
other outside material. Do not bring your own scratch paper. Do not
bring blue books.
- There will be no calculators/laptop computers for the exam. The
exam is to test whether you know the material.
- Everyone works on their own exams. Any suspicions of
collaboration, copying, or otherwise violating the Student Code of
Conduct will be forwarded to the Student Judicial Board.
- The final exam is cumulative, i.e., it covers the whole course material,
although more emphasis is on the topics that were not covered by
the midterm.
- There will be NO MAKE-UP MIDTERM EXAM. If you miss the midterm
exam due to catastrophic events such as serious illness of yourself or
death of your immediate family, you must provide me with a written
proof (e.g., a report or a letter written by a medical doctor with
signature). Only then I will readjust the weight (e.g., Homework 25%;
Computer Projects 15%; Final 60%).
- If you miss the final exam due to catastrophic events such as
serious illness of yourself or death of your immediate family, you will
receive "Incomplete" grade, provided that you give me a written proof
(e.g., a report or a letter written by a medical doctor with
signature). Then you must take a make-up exam in the following quarter
to receive a letter grade.
MATLAB Access:
To use MATLAB, there are a few options: - Create an account at the
Math Department. Visit
https://www.math.ucdavis.edu/~saito/courses/howto451.html and follow
the instructions. It is important to create your account before you
come to the Lab for the first time. You can then work either at the
Undergraduate Computer Lab (451 Kerr) or from any other lab in the
campus or even from your home PC by remotely connecting to one of the
three departmental servers [cosine,sine,tangent].math.ucdavis.edu. The
lab is open 9am-5pm on weekdays.
- Use your own account at your own department if your department
has the MATLAB license. This is the case for most of the engineering
departments.
- Buy a Student Version of MATLAB at UCD Bookstore (costs about
$100).
- Install Octave system on your own PC, which is free
software and emulates MATLAB. Caution: Most likely you can do all
the lab exercises, but I have not tested all the exercises yet. In
fact, if you decide to use octave and notify me whether you can do the
projects with octave or not, I would greatly appreciate it! Visit the
official web site of Octave at
http://www.octave.org for downloading and installing information.
More MATLAB Information:
Please email me if you
have any comments or questions!
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