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.
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.
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.
Total credits: 15
|ECE 528||Introduction to Random Processes in Electrical and Computer Engineering||3|
|or STAT 544||Applied Probability|
|ECE 535||Digital Signal Processing||3|
|Select three courses from the following:||9|
|Introduction to Digital Image Processing (DIP)|
|Statistical Communication Theory|
|Adaptive Signal Processing|
|Kalman Filtering with Applications|
or ECE 728
|Random Processes in Electrical and Computer Engineering|
|Detection and Estimation Theory|
or ECE 738
|Advanced Digital Signal Processing|
|Statistical Analysis of Signals|
or STAT 652
|Times Series Analysis and Forecasting|
or STAT 658
|Time Series Analysis and Forecasting|
or ECE 754
|Optimum Array Processing I|
or CS 775
|Advanced Pattern Recognition|