EE-570 Advanced Topics in Electrical Engineering

Instructors: Seda Senay, Assistant Professor of Electrical Engineering

Scott W. Teare, Professor of Electrical Engineering

Prerequisites: EE-333 or consent of instructor

Catalog Description: Emerging technologies and specializations in Electrical Engineering addressed from the perspective of embedded systems and advanced designs.

Reference Textbook: Digital Image Processing, Gonzales and Woods; Applied Cryptography, Schneier; Principles of Optics, Born and Wolfe; MATLAB Tutorials and Texts, Various authors; Selected papers.

Classroom: WORKC 117

Regular class: Tuesdays: 6pm-9pm

Lab: Thursdays: 6pm-9pm

Instructor's Overview: This course introduces students to advanced topics in image processing, signal processing, and smart instrumentation from the perspective of embedded system applications. Basic image and signal processing techniques will be used to leverage more advanced techniques and approaches. Topics will include: optical and imaging systems; optical transfer functions; multidimensional data set transforms and processing; data reduction, parsing, fusion and analysis; data compression techniques; basic cryptography and steganography; and wavelet transforms.

Computational Skills: Students will be required to write computer programs in MATLAB to solve mathematical equations, plot and analyze results for assignments and projects.

Course evaluation:

Assignments and Reports:	50%
Final Project:	50%

First Class: August 22, 2016

Last Class: December 2, 2016

Course Outline:

Updated: 8-10-16

All information subject to change.