CS5432
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CS 5432 - Sensors and Internet of Things (4 Cr.)
Course description
This course will introduce a broad range of sensors such as wearable biosensors that measure physiological changes, psychological changes, brain electrical activity, muscle impedance, and other sensors such as kinematic sensors, virtual reality, motion capture, luminosity and a range of robots, varying in size, features and autonomous capabilities, while emphasizing the basic principles of sensing for temperature, motion, sound, light, position, displacement, etc. IoT are ubiquitous systems that are built using embedded processors, sensors, other electronics and communication mechanisms. You will be introduced to IoTs through lectures, hands-on labs, and research papers. You will interface (embedded programming) various sensors with an AI based System-on-a-Chip (SoC) to learn to design a complete IoT system. In addition, you will learn to identify and mitigate any ethical issues related to this topic. Students will also learn the latest advances in the field of sensors and IoTs.
pre-req: grad student, CS 2511, CS 2521, (CS 2531 or MATH 3355) or instructor consent, a grade of C- or better is required in all prerequisite courses, no credit if CS 4432 taken
pre-req: grad student, CS 2511, CS 2521, (CS 2531 or MATH 3355) or instructor consent, a grade of C- or better is required in all prerequisite courses, no credit if CS 4432 taken
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
AFV - A-F or Audit
Laboratory
Lecture
Requirements
011442
Typically offered term(s)
Every Fall