Course Context
This course explores modern IoT systems with a focus on edge intelligence, TinyML, and digital twin–enabled architectures. The course examines how intelligent IoT applications are designed and deployed under real-world constraints such as latency, memory, energy, bandwidth, and privacy, moving beyond cloud-centric solutions. Students develop practical system-level understanding through hands-on projects involving deployable edge intelligence.
Complexity Framework
We evaluate projects based on depth: Hardware (L1) → Intelligent Edge (L2) → Cognitive System (L3).
IoT Device Growth Projection (Billions)
12-Week Roadmap
Theory, intelligence integration, and cognitive sprints.
Week X Details
Module Title
Module Content
Deliverable
Capstone Projects
Implement a Level 3 integrated vertical slice solution.
Grading & Competencies
Grading Breakdown
Final Exam 50%
Capstone 35%
Attendance 15%