EE278: Course Information

David Tse, Stanford University, Autumn 2020

Instructor

  • Professor David Tse, dntse at stanford.edu

  • Office hours: Tue, Wed 4 - 5 pm. Join remotely from the Zoom tab on Canvas.

Course Assistant

  • Srivatsan Sridhar, svatsan at stanford.edu

  • Office hours: Thu 11 am - 12 pm. Join remotely from the Zoom tab on Canvas.

Administrative Assistant

  • Helen Niu, helen.niu at stanford.edu

Discussion Session

  • Mon 3 - 4 pm (starting from Sep 21st). Join remotely from the Zoom tab on Canvas.

  • Meet online, discuss and solve relevant problems on a shared whiteboard.

  • Problems will be posted on the previous Friday. Students are expected to attempt the problems before attending.

Grading

  • Lecture and discussion attendance: 5%

  • Homeworks: 25%

  • Assessment 1: 35%

  • Assessment 2: 35%

Homeworks

  • Questions will be posted every Friday and will be due on the next Friday at 5 pm.

  • Submissions will be made on Gradescope.

  • Late submissions will not be accepted, but the homework with the lowest score will be dropped.

Assessments

  • There will be two in-class assesments covering the syllabus taught in each half of the quarter.

    • Assessment 1: Thu Oct 15th, 2:30 - 4 pm

    • Assessment 2: Thu Nov 19th, 2:30 - 4 pm

Course Policies

  • Prerequisites: EE178 or equivalent, linear systems and Fourier transforms at the level of EE102A,B or EE261, some basic linear algebra, and knowledge of a language like MATLAB or Python to do some simple simulation excercises. There will NOT be a review of basic probability in this course. The lecture notes of EE178 can be used to refresh the prerequisites on probability theory / statistics.

  • Piazza: The main mode of electronic communication between students and staff, as well as amongst students, will be through Piazza. It is intended for general questions about the course, clarifications about assignments, student questions to each other, discussions about material, and so on. We strongly encourage students to participate in discussion, ask and answer questions through this site. The course staff will monitor discussions closely.

  • Collaboration: You are encouraged to work on homework problems in study groups of no more than 3 people; however, you must always write up the solutions on your own, and you must never read or copy the solutions of other students. Similarly, you may use books or online resources to help solve homework problems, but you must always credit all such sources in your writeup and you must never copy material verbatim. However collaboration is not allowed in the in-class assessments.