**Math 4377, Advanced Linear Algebra I, TuTh
11:30am-1:00pm CBB 108**

**Office Hours:** PGH 60, MW 2-3

Phone: 713-743-3462 But you can always e-mail your questions to

klaus@math.uh.edu

Please, use only this e-mail.

**Teaching Assistant:**

Jielin Xu email: jielin@math.uh.edu, Casa Hours: Tuesday 9:00-11:00am.

Victoria Muravina
email: muravina@math.uh.edu , Casa Hours: MW 2:30-4:30pm

**Office Hours:** PBA

**Text: ***Linear Algebra,* Fourth Edition by Stephen H.
Friedberg, Arnold J. Insel, Lawrence E. Spence

**Syllabus:** Chapter 1, Chapter 2, Chapter 3, Chapter 4 (4.1-4.4),
Chapter 5 (5.1—5.2).

**Course Description: **The general theory** **of Vector Spaces and Linear
Transformations will be developed in an axiomatic fashion. Determinants will be
covered to study eigenvalues, eigenvectors and diagonalization.

**Grading:** There will be **three** Tests and the Final. I will take the two highest test scores (50%) and the mandatory final (30%).
Homework counts for 20%.

**Homework:
1.1:** 1,3,6,7

1.2:

1.3:

1.4:

1.5:

1.6:

**2.1: **1,9,11,14,16,21** due Tuesday,
March 25
2.2:**1,2,8,9,10

2.3:

Due Tuesday, April 1

2.4:

Synopsis of the material on Matrices, Linear maps, Linear Equations and Inverses

** ****Second**
** Test: April 8, 2014**

** For
all tests, you need to bring a
blue book and picture ID
3.1:**1,2,3

3.2:

3.3:

3.4:

**Due Tuesday, April 22**

Third **Test:
TBA
**

**4.1:**1,2,5,6,7,8

**
4.2: **1,2,3,4,25,26,28,29

**Final**:
**Tuesday, May 6, 11am-2pm**

**Tired of still not being able to type math on your new and fancy PC? **I
recommend **Scientific Notebook** (**SNB)** for your home work and for
writing notes of the course. This program is available for $99
through MacKichan Software at
http://www.mackichan.com/

Unlike ordinary word processors, documents are saved in LaTeX. But the program
is as easy to use as MS Word and for SNB, you don't have to know any TeX.
In addition of being a scientific text processor, the program can also
compute or graph your mathematical expressions. This feature is especially
useful for Linear Algebra. SNB comes with complete printed
documentation.