Graduate Certificate Sensor Signal and Information Processing at Arizona State University

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.

Faculty: Ira A. Fulton Schools of Engineering  |  Department: Electrical Engineering Program  |  Duration: 16 credit hours  |  Study mode: full-time  |  Location: Tempe, AZ, United States

What you will study

16 credit hours Required Core (7 credit hours) EEE 517 Sensors and Machine Learning (1) EEE 554 Probability and Random Processes (3) EEE 556 Detection and Estimation Theory (3) or EEE 596 Adaptive Signal Processing (3) or EEE 607 Speech Comprehension and Recognition (3) Electives (5 or 6 credit hours) Other Requirements (3 or 4 credit hours) EEE 509 DSP Algorithms and Software (3) or EEE 591 Seminar: Digital Signal Process (4) Additional Curriculum Information For the required core, students choose either EEE 556, EEE 606 or EEE 607.

Career pathways

Graduates of this program have numerous professional opportunities. The area of sensor information extraction and interpretation has applications in various professional fields, including: communications health media security sustainability

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