Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5402. Architecture of Internet of Things

Also offered as: CSE 5312

3.00 credits

Prerequisites: Open to graduate students in the CSE program, others with consent. Recommended preparation: An undergraduate degree in electrical engineering, computer engineering, or computer science or completed a graduate level course in embedded or network systems.

Grading Basis: Graded

This course is designed to provide students and professional engineers with a thorough understanding of the design, development, validation and evaluation of IoT systems, especially in industrial domains with stringent timing and performance requirements. The student will develop skills in specifying the requirements for the target IoT systems, selecting the appropriate hardware and software platforms, and validating and evaluating the system performance. Special emphasis will be placed on the semester-based industrial projects that will be designed from selected industrial domains to address real-life problems.

Last Refreshed: 09-AUG-22 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Fall 2022 10177 Storrs Distance Learning Han, Song
Zhou, Shengli
001 Reg Th 6:00pm‑8:00pm
1/15 No Room Required - Online 3.00 Graded Lectures are delivered via pre-recorded videos. The synchronous session is used for weekly discussions to trace project progress.