CIS 4101 Advanced IoT
This course will continue a personalized IoT experience with goal-driven labs. The technology focus of this course will be security, wireless, machine learning, and specific vertical applications. This enablement creates an advanced product solution with wireless connectivity, low power modes, machine learning on the edge, edge encryption, secure boot, and more. Continue your exploration into infrastructure discovery and innovation. Finalize your chip to cloud automation and security. Begin to look beyond the technology, to creating incremental value with IoT and developing a profitable business mindset. Compete in the White Rabbit game, testing your IoT technology skills. Use current trends in IoT development and protocols to create your own secure IoT solutions.
Division: Business and Public Services
Department: Computer Science and Information Technology
Repeatable Credit: No
Offered Online: No
Prereqs: CIS 2428 and MAT 2215
Outcomes
- This course object focuses on the hands-on creation of advanced IoT products. Students will work on labs that are tailored to their personal learning goals, concentrating on developing IoT solutions that incorporate wireless connectivity, low power modes, and machine learning at the edge. This practical experience will be critical in understanding how to build efficient and sophisticated IoT systems
- Here, students will delve deep into the critical aspects of IoT security and infrastructure. They will learn about and implement edge encryption, secure boot processes, and other advanced security measures. This object also includes exploring IoT infrastructure, emphasizing chip-to-cloud automation and the integration of secure IoT protocols. The goal is to equip students with the skills necessary to ensure the integrity and reliability of IoT solutions.
- This object shifts the focus from technology to the value creation aspect of IoT. Students will explore how to leverage IoT technology to create incremental value and develop a profitable business mindset. This includes understanding market needs, identifying business opportunities in IoT, and developing strategies for successful IoT solutions.
Credit Hours: 3
Classroom Hours: 3