Digital Signals: Processing, Presentation, and Management. 3 credits, 4 contact hours

Catalog description

Prerequisites: ( CS 100 or CS 106 or CS 113 or CS 114 or CS 115 or CS 116 ) and ( MATH 138 or MATH 111 ). Restrictions: Junior Standing or Department Approval. This course covers the fundamentals of digital signal processing including signal acquisition, manipulation, and presentation. MATLAB, Python, and Excel are used as methods of computer programming, automation, and signal processing. Students learn the fundamentals of signal sampling, processing, reconstruction, digital signal types, quantization, encoding, FIR and IIR and filters, and various methods for the design of digital signal filters based on use cases and specifications. Emphasis is placed on effective data presentation techniques. The course concludes with a final project which can be implemented in hardware or software.