Course in the Embedded Interface Design Specialization
Instructor: Bruce Montgomery, Ph.D., Senior Instructor
This course is focused on connecting devices to each other and to the cloud to create prototypes and actual systems that flow data from devices to consumers. The class includes an introduction to M2M (Machine-to-Machine) and IoT (Internet of Things) concepts, using the cloud to develop IoT systems (specifically AWS (Amazon Web Services) and its IoT framework), a review of common communications protocols at every level of connected devices, and other IoT design concerns such as security, message queuing approaches, and the use and design of APIs and microservices.
The content ranges from general design best practices to specifics for select tools and methods, but all are presented to support developing embedded devices in IoT applications. The class includes practical projects that let you try some of standard methods in software development of prototype graphical user interfaces for devices using AWS, Python, and optionally Node.JS.
Prior knowledge needed: ECEA 5346 User Experience Interface Design for Embedded Systems, ECEA 5347 Rapid Prototyping of Embedded Interface Designs
Syllabus
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Grading
Assignment |
Percentage of Grade |
Week 1: Quiz on M2M & IoT, Cloud Architecture, UML and Architecture Patterns |
5% |
Week 2: Quiz on IoT Application Protocols, Cloud for IoT, AWS, AWS IoT |
5% |
Peer Review: Project 1 – Simple AWS IoT Connection |
15% |
Week 3: Quiz on Low-Level Protocols, M2M Protocols, LPWANs for IoT |
5% |
Peer Review: Project 2 - Extended AWS IoT Connections |
15% |
Week 4: Quiz on AWS alternatives, IoT Security, Message Queuing, APIs, Microservices |
5% |
Peer Review: Peer review of prior programming projects |
25% |
Week 5: Final Exam |
25% |
Letter Grade Rubric
Letter Grade |
Minimum Percentage |
A |
93% |
A- |
90% |
B+ |
87% |
B |
83% |
B- |
80% |
C+ |
77% |
C |
73% |
C- |
70% |
D+ |
67% |
D |
60% |
F |
0% |