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Arizona State University Ira A. Fulton Schools of Engineering 7 courses 16 total credits
In the graduate certificate program in sensor signal and information processing, you receive background and application-oriented training in processing and interpreting signals acquired from sensors. The focus is on building knowledge and skills in several sensor network applications. You complete courses on signal and data processing for sensor systems, covering topics such as digital signal processing, random signal theory, detection and estimation, sensor systems, big data and machine learning. The program may be completed with on-campus coursework and iCourses.
| Required Core | 7 credits |
| Total Credits | 16 credits |
Required Core
| Code | Course Title | Credits |
|---|---|---|
| EEE 517 | Sensors and Machine Learning | 1 |
| EEE 554 | Probability and Random Processes | 3 |
| EEE 556 | Detection and Estimation Theory | 3 |
| EEE 596 | Adaptive Signal Processing | 3 |
| EEE 607 | Speech Comprehension and Recognition | 3 |
| Total Required Core | 7 credits | |
Other Requirements (3 or 4 credit hours)
| Code | Course Title | Credits |
|---|---|---|
| EEE 509 or EEE 591 | DSP Algorithms and Software or Seminar: Digital Signal Process | 3 |
Additional Curriculum Information
For the required core, students choose either EEE 556, EEE 606 or EEE 607. Additionally, students complete either EEE 591 Seminar: Digital Signal Process and five credit hours of electives, or EEE 509 and six credit hours of electives. For electives, students should see the academic unit for the approved course list. Other coursework may be used with the approval of the academic unit.
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