The Department of Electrical and Computer Engineering, in conjunction with the Department of Statistics, offers the certificate in signal processing, which provides graduate students with an opportunity to reach a demonstrated level of competence in signal processing. Course work for the graduate certificate can be used for credit toward the MS in Statistical Science as well as the MS in Electrical or Computer Engineering. However, the certificate's primary purpose is to provide a well-defined body of information for students who want to advance or update their knowledge in this fast-moving field, but who do not necessarily wish to complete requirements for the MS degree. The certificate may be pursued concurrently with any of the graduate degree programs in the Volgenau School.

The graduate certificate may only be pursued on a part-time basis.

Admissions

The graduate certificate is open to all students who hold BS degrees in scientific and engineering disciplines from accredited universities and hold graduate status (either degree or non-degree) in the Volgenau School.

Policies

Program Requirements

The certificate is awarded on completion of five graduate courses (15 credits) in signal processing. A cumulative GPA of 3.00 is required, and one course with a grade of C at most may be applied toward the certificate. The certificate courses comprise two foundation courses taken by all students and three elective courses.

Banner Code: VS-CERG-SIGP

Certificate Requirements

Total credits: 15

Foundation Courses

ECE 528Introduction to Random Processes in Electrical and Computer Engineering3
or STAT 544 Applied Probability
ECE 535Digital Signal Processing3
Total Credits6

Electives

Select three courses from the following:9
Introduction to Digital Image Processing (DIP)
Systems Identification
Statistical Communication Theory
Adaptive Signal Processing
Kalman Filtering with Applications
Random Processes in Electrical and Computer Engineering
Detection and Estimation Theory
Advanced Digital Signal Processing
Statistical Analysis of Signals
Statistical Inference
Statistical Inference
Times Series Analysis and Forecasting
Time Series Analysis and Forecasting
Information Theory
Optimum Array Processing I
Advanced Pattern Recognition
Total Credits9