Computer Engineering Technology
Computer Engineering Technology (CET) students study a broad range of topics, including computer architecture, embedded systems, digital electronics, network design, machine learning and artificial intelligence, and system analysis. Through hands-on lab work and project-based learning, students in the CET program gain practical experience that prepares them for careers in fields such as computing technology, networking and communications, smart healthcare, robotics, and automated manufacturing.
Fall Project Start Intake Form
Student Skills:
- Concept Generation and Ideation: Developing multiple creative solutions through brainstorming in response to a defined user or consumer need.
- Simulation and Analysis: Using Machine Learning/AI or circuit simulation to ensure a project meets operational requirements, predict potential project failures, and analyze real-time data to identify quality deviations.
- Testing and Validation: Verifying that both hardware and software solutions align with the requirements of the intended application or use case.
- Resource Planning and Budgeting: Identifying the resources needed to deliver a project and planning task allocation and scheduling based on team capacity and budget constraints.
- Safety and Standards: Implementing relevant standards in programming and circuit design and lab safety rules to safeguard health, safety, and other critical values.
- Additional Skills:
- Engaging in teamwork and peer collaboration.
- Utilizing Business Model Canvas to outline the project’s value proposition, customers, key resources, and financial structure.
Previous Projects:
Robotics and Automation
- Urban Warfare Simulation: Provided a means of acclimating soldiers for urban combat by utilizing virtual reality (VR) alongside critical implementation of combat scenarios, a realistic f irearm replica, and a human-machine interface (HMI).
- 5G Network Modulation: Developed a data traffic management system in 5G networks by simulating and evaluating different modulation techniques using MATLAB.
- OTTO SORTING BIN: Enhanced recycling efficiency by training AI models for object detection.
Environment and Smart Health Care
- Project AMETHYST: Created a wearable device that tracks auditory input to assess sensory intensity, assisting individuals with autism in managing overstimulation.
- ANCHOR: Designed a prototype aimed at improving the experience of hospitalized patients undergoing the delirium protocol.
Safety
- CALG SOLUTIONS: Developed a Backseat Guardian, an affordable and easy-to-use security system designed to protect car passengers.