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The Holcombe Department of Electrical and Computer Engineering

Ph.D. Qualifying Examination

Every student enrolled in the ECE Ph.D. program is required to pass a written qualifying examination. The objective of this examination is to ensure the adequacy of each student's background. The examination tests undergraduate ECE material. The exam is given once each year during Fall Break. Each student who enters the Ph.D. program with a prior M.S. degree in the major must take the exam at the first opportunity. Each student entering the Ph.D. program with only a prior B.S. degree (i.e., direct-entry Ph.D. students) may take the exam at the first opportunity or may defer the exam until the second opportunity.

Students taking the exam for the first time are required to complete the Qualifying Examination Signup Form and turn it in to the Student Services Program Coordinator for the graduate program. Students taking the exam for the second time are required to complete the Qualifying Examination Retake Form and turn it into the Student Services Coordinator for the graduate program. The signup deadline and the dates and times of the next exam can be found below.

Additional information about the Ph.D. Qualifying Examination may be found in the Graduate Program Handbook.

Ph.D. Qualifying Examination Dates:
Monday, November 3, 2014 at 1:00pm - Closed Book Exam
Tuesday, November 4, 2014 at 9:00am - Open Book Exam

Ph.D. Qualifying Examination Registration Deadline:
Friday, August 29, 2014 at 4:30pm

Optional Study Help Session for the Ph.D. Qualifying Examination:
Tuesday, August 19th, 1:00 – 2:00 PM in Riggs 226

For additional information about the exam, please contact Trish Nigro.

On the signup form, the student must select three topics. The following is the list of topics for each program.

Electrical Engineering Exam Topics
Circuits
Controls
Electromagnetics
Electronics
Power & Energy Systems
Probability and Random Variables
Signals and Systems

Computer Engineering Exam Topics
Circuits
Computer Hardware and Architecture
Computer System Structures
Controls
Probability and Random Variables
Programming Systems and Software Engineering
Signals and Systems

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