Spring 2026 Applied Analytics PS5570 section 002

ARTIFICIAL INTELLIGENCE OF THINGS

AI OF THINGS

Call Number 13222
Day & Time
Location
R 8:10pm-10:00pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Javid B Huseynov
Type LECTURE
Method of Instruction In-Person
Course Description

Over the past decade, the Internet of Things (IoT) has transformed industries by enabling real-time data collection, analysis, and automated control through interconnected devices. Advancements in networking, cloud computing, and robotics have expedited IoT adoption, impacting a wide range of fields from home safety and industrial automation to healthcare and autonomous driving. Additionally, the rise of artificial intelligence (AI) led to the emergence of the Artificial Intelligence of Things (AIoT), which combines IoT connectivity with AI-driven decision-making to enhance smart systems.

This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies.

Web Site Vergil
Department Applied Analytics
Enrollment 0 students (45 max) as of 9:07PM Monday, October 13, 2025
Subject Applied Analytics
Number PS5570
Section 002
Division School of Professional Studies
Open To Professional Studies
Note ON-CAMPUS. APAN STUDENTS ONLY. PRE-REQS: ADVISOR APPROVAL
Section key 20261APAN5570K002