EE 378A: Statistical Signal Processing
This year's EE378A offering has been substantially revised to include recent research results in data science, as well as a comparison between and analysis of existing frameworks for data analysis and processing. Among other questions, we will consider the following:
We will also analyze algorithms that perform well in one theoretical framework but are highly sub-optimal in another, and contrast with algorithms that perform well simultaneously under multiple frameworks. Students will be exposed to a variety of disciplines, and connections between them.
The course will cover and emphasize the importance of both theory and algorithms. Grading will be based primarily on about 4 homework sets, and a final project. Project topics will be offered, but students are welcome to propose their own project topics.