Applied Linear Algebra
MTH 415-001
| Instructor: | Mark Iwen |
| Time and Place: | Lectures are MWF 1:50 pm - 2:40 pm in Wells Hall A318 |
| E-mail: | markiwen@math.msu.edu |
| Office: | D220 WH |
| Office Hours: | Monday 2:45 pm -- 3:45 pm, Wednesday 2:45 pm -- 3:45 pm, and Thursday 9 am -- 10 am |
This course will cover the mathematical topics necessary to, e.g., begin understanding general feedforward neural network structures, including convolutional neural networks. The course will cover finite dimensional inner product spaces, norms and related inequalities, unitary matrices and their properties, discrete Fourier transform matrices, convolutions and the Fast Fourier Transform (FFT) algorithm, the Singular Value Decomposition (SVD), least squares regression, and tools used in linear inverse problems such as Tikhonov regularization.
Course website for MTH 415-001:
http://math.msu.edu/~markiwen/Teaching/MTH415/MTH415_F25.html
The course website is mandatory reading for the course. On it you will find the course schedule, the syllabus, and supplementary reading. Homework assignments will be posted on the schedule.
Textbook:
The class will utilize free course notes created by the instructor. The current course notes will be linked to on the course schedule.