## Linear Algebra, Fall 2007.

A undergraduate course in Mathematics at the Department of Mathematics, National Tsing Hua University.

**Instructor: **Professor Wei-Cheng Wang,

**Class hours:** General III Building, room 201, TF 1:10-2:25 PM

**TA: **§õ«FªÚ (ext 33126, Tuesday recitation) and ¼B^³Ç (ext 33184,
Wednesday recitation)

**Grading: ** 40% quiz, 20% midterm1, 20% midterm2 and
20% final exam.

**Textbook and References**: Textbook: Steven J. Leon:
Linear Algebra with applications, 7th edition.

**Course description, lecture notes (draft) and
homework assignments**:

** Part I **: Matrices and Systems of Equations.

** Part II **: Determinants.

** Part III **: Vector Spaces.

** Part IV **: Linear Transformations.

** Part V **: Orthogonality and Inner Product Spaces.

** Part VI **: Eigenvalus and Eigenvectors.

Syllabus: Detail
course information including teaching schedule, quiz and exam dates.

** Matlab, Octave and Rlab Information: **

The textbook is acompanied with matlab exercises. Due to time
constraint, we are unlikely to cover matlab materials. Here are some
information about learning matlab from scratch. In case of sufficient
demand, I can give a tutorial lecture on matlab sometime during the
semester.

Matlab is a conveneint tool for matrix computations. Matlab is also an
excellent environment for experimentation in scientific computing. It is
not the most efficient environment for large-scale simulations, although
with some effort, Matlab can be used in conjunction with C and Fortran
routines. Matlab is a product of
The Mathworks. For a tutorial, see
A Free Matlab Online Tutorial or Another
Tutorial or
Matlab Primer.

You can start from our class
note on matlab before reading these materials. Octave and Rlab are
free (source code open) softwares also good for matrix computations.
Octave is designed to be compatible with matlab. Matlab users should
have no problem using Octave. Rlab, on the other hand, is meant not to
be a clone of matlab. For more information on Octave and Rlab, visit
here.

Homework Assignments:

Homework for week 01.