EEE 299: Special Problems

Course Description

Open to qualified students who wish to pursue problems of their own choice. Projects must have approval and supervision of a faculty advisor. (Prerequisite: Instruction Permission)

Term Typically Offered: Fall and Spring

Projects:

• "Object Tracking in the Presence of Obstacles using Machine Learning", Sean Worcester, Spring 2023.
• "Analysis of Passive Harmonic Filters", Ahmad Monir Jan Sarwary, Fall 2022.