EE 278: Course Information

Course Outline

The following topics will be covered in the course:

• Review of basic probability and random variables

• Mean square error estimation, detection, and linear estimation

• Random vectors and processes

• IID, independent increment, Markov, and Gaussian random processes

• Stationary random processes

• Autocorrelation and power spectral density

• Convergence and limit theorems

Course Prerequisites

EE 178 and linear systems and Fourier transforms at the level of EE 102A,B or EE 261, basic linear algebra, and basic knowledge of a language like MATLAB or Python to do some simulation exercises.

Lectures

Time: Monday and Wednesday 1:30 - 3:20 PM
Location: Thornt 102
Lecture Videos: The lectures will be recorded for SCPD students and posted 2 hours after each class on SCPD's https://mvideox.stanford.edu/website.

Course Requirements

Homework: There will be weekly homework sets.
Due: Tuesdays at 11:59 pm on Gradescope. Gradescope code: 9X25Z6

Quizzes: There will be weekly quizzes at in-class each Wednesday consisting of one problem from the material on the homework due the previous evening.

Final: There will be an in-class final that lasts 3 hours.
Time: Friday August 16 3:30 - 6:30PM.
Location: Building 200 Room 030 (in the Main Quad)

Office hours

Office hours will be held each week. Office hours are intended to be a time for discussion about general class topics, homework, and review exercises.

Piazza

A Piazza forum will be available for students to post questions. Students are encouraged to assist eachother and post answers on Piazza. The teaching staff will use the questions to help guide what material to cover, but will not be actively posting responses.
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