Master of Computer Engineering in Internet of Things
The objective of IoT is to enhance both device-to-device interactions, as well as device-to-human interactions via the Internet. IoT systems facilitate controlling and monitoring devices from anywhere by integrating sensors, actuators, local processing and storage devices, wireless networks, Internet, and cloud computing. IoT engineers also need to understand the Cyber Security and Big Data challenges for IoT applications. Learning every major aspect of these technologies is necessary to be a successful engineer in the field of Internet of Things. Students will be trained to master several key topics in the field of computer networking, embedded systems, system architectural design issues, communication and information systems, smart grids and cybersecurity.
| Minimum Credits Required | 30 |
| Maximum 400-Level Credit | 12 |
| Minimum 500-Level+ Credit | 18 |
| Maximum 700-Level Credit | 4 |
| Maximum Transfer Credit | 9 |
| Code | Title | Credit Hours |
|---|---|---|
| Core Courses | (18-24) | |
| Select a minimum of 6 courses from the following: | 18-24 | |
| Intro to Computer Ntwks | 3 | |
| AI and Edge Computing | 3 | |
| 5G Wireless Network | 3 | |
| Wireless Comm Systm Design | 3 | |
| IoT and Cyber Physical Systems | 3 | |
| Computer Cyber Security | 3 | |
| Application Software Design | 3 | |
| Computer Network Security | 3 | |
| Modern Internet Tech | 3 | |
| Special Problems (Internet of Things) | 3 | |
| Network Engineering Elective | (3-6) | |
| Select minimum 1 course from the following: | 3-6 | |
| 5G Wireless Network | 3 | |
| Wireless Ntwrk Protocols/Stand | 3 | |
| Coding Reliable Communications | 3 | |
| Info Theory and Applications | 3 | |
| Comm Netwrks Performance Analy | 3 | |
| Dsgn Optmztn Compt Ntwrks | 3 | |
| Wireless and Mobile Networks | 3 | |
| Wireless Network Security | 3 | |
| Computer Engineering Elective | (3-6) | |
| Select minimum 1 course from the following: | 3-6 | |
| Smart & Connected Embedded Sys | 4 | |
| Computer Org and Design | 3 | |
| Hardwr Security & Adv Comp Arc | 3 | |
| Hardware Software Codesign | 3 | |
| Object-Oriented Program & ML | 3 | |
| Signal and Image Processing Elective | (3-6) | |
| Select minimum 1 course from the following: | 3-6 | |
| Digital Signal Processing I | 3 | |
| Image Processing | 3 | |
| Video Processing & Comm | 3 | |
| Analysis Random Signals | 3 | |
| Compt Vision Image Processing | 3 | |
| Machine and Deep Learning | 3 | |
| Statistical Signal Processing | 3 | |
| Digital Signal Processing II | 3 | |
| Power Engineering Elective Courses | (0-3) | |
| Select 0-1 course from the following: | 0-3 | |
| Applied Optimization Engrgs | 3 | |
| Hybrid Electric Vehicle Drives | 3 | |
| Discrete Time Systems | 3 | |
| Next Generation Smart Grid | 3 | |
| Energy Harvesting | 3 | |
| Motion Control Syst Dynamics | 3 | |
| Power Elect Dynmcs Control | 3 | |
| Power System Planning | 3 | |
| AI in Smart Grid | 3 | |
| Elements of Smart Grid | 3 | |
| Microgrid Design and Operation | 3 | |
