ECE 4567
Transcript Abbreviation:
M-IoT Design
Course Description:
This course focuses on theoretical and practical insights into design of Internet of Things architectures and mobile platforms. Concepts covered in this course include general IoT architectures, sensor, processing, and communication resources, device and cloud connectivity, mobility support. Practical aspects will be studied with lab assignments and the semester-long group projects.
Course Levels:
Undergraduate (1000-5000 level)
Designation:
Elective
General Education Course:
(N/A)
Cross-Listings:
(N/A)
Credit Hours (Minimum if “Range”selected):
4.00
Max Credit Hours:
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits:
(N/A)
Total Completions Allowed:
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 2560, 3020, and 3027.
Electronically Enforced:
No
Exclusions:
(N/A)
Course Goals / Objectives:
Master embedded system architectures, input/output, processing, and communication routines
Become competent in practical design principles of IoT systems
Become familiar with algorithm design for embedded systems, algorithmic techniques, data acquisition, and on-board processing
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC out-of-class | REC in-class | Weekly LAB out-of-class | Weekly LAB in-class |
|---|---|---|---|---|---|
| IoT Architectures | 3.0 | 0.0 | 0 | 0.0 | 0 |
| IoT Applications | 1.0 | 0.0 | 0 | 0.0 | 0 |
| IoT Devices and Sensors | 4.0 | 0.0 | 0 | 2.0 | 0 |
| IoT Connectivity | 5.0 | 0.0 | 0 | 2.0 | 0 |
| Local and Distributed Processing in IoT Systems | 5.0 | 0.0 | 0 | 3.0 | 0 |
| Cloud Processing and Storage for IoT | 3.0 | 0.0 | 0 | 2.0 | 0 |
| Analytics and Machine Learning for IoT | 3.0 | 0.0 | 0 | 1.0 | 0 |
| Mobile IoT Systems | 4.0 | 0.0 | 0 | 2.0 | 0 |
| IoT Security | 3.0 | 0.0 | 0 | 2.0 | 0 |
| Localization in IoT | 4.0 | 0.0 | 0 | 2.0 | 0 |
| Vehicular IoT Systems | 4.0 | 0.0 | 0 | 0.0 | 0 |
| 2 Midterm Exams | 2.0 | 0.0 | 0 | 0.0 | 0 |
| Total | 41 | 0 | 0 | 16 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Lab
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Midterm Exams | 40% |
| Homework Assignments | 20% |
| Laboratory Assignments | 10% |
| Term Project | 30% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Enchanted Objects (recommended) | David Rose | |
| The Amazon Was on IoT (recommended) | John Rossman | |
| Enterprise Internet of Things Handbook (recommended) | Arvind Ravulavaru |
ABET-CAC Criterion 3 Outcomes:
(N/A)
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Significant contribution (7+ hours) | 1 | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| Some contribution (1-2 hours) | 2 | an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |
| Substantial contribution (3-6 hours) | 3 | an ability to communicate effectively with a range of audiences - pre-2019 EAC SLO (g) |
| Substantial contribution (3-6 hours) | 4 | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
| Significant contribution (7+ hours) | 5 | an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives |
| Significant contribution (7+ hours) | 6 | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
| Significant contribution (7+ hours) | 7 | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Embedded Literacies Info: