Extended Reality for Engineering (XRE)

ISYE 4803/8803

XRE
This course covers the fundamentals of the extended reality (XR) development lifecycle, with a special focus on engineering applications. Students will learn to use the Unity game engine to create XR applications compatible with various platforms. The course explores XR’s affordances for human-machine interaction, immersive design visualization, virtual prototyping, training, remote operation, and real-time collaboration. Topics include overview of XR concepts, hardware, software, and industrial use cases; UX/UI design, story-boarding, bodystorming, and conceptual design; C# and object-oriented programming; Unity Editor basics, gameplay mechanics, version control, effects, animations, UI, and prototyping; VR development using XR Interaction Toolkit, covering interaction design, ergonomics, and optimization; and AR development using AR Foundation, exploring mobile and head-mounted AR, marker-based AR, plane detection, and interaction design. Students experiment will conduct hands-on experiments with AR/VR headsets at the XR labs in ISyE and ME. A semester-long project requires teams to design, develop, and test an XR apps addressing a real-world engineering problem, emphasizing hands-on experience and team-based problem-solving.
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Human-Integrated Systems (HIS)

ISYE 4009/6231

HIS
This course introduces foundational principles of studying human cognition, action, and interactions with machines in industrial settings. Topics include general cognitive systems engineering concepts and princi-ples, and specific concepts and principles of interface design, task analysis, prototyping, and empirical usa-bility of evaluation methods. Students learn the fundamentals of human information processing, visual and multisensory perception, attention, memory, problem-solving, decision-making, expertise, response selec-tion, principles of engineering anthropometry and human-centered design. Students also learn to process and statistically analyze data from various human physiological and behavioral sensors using R for in-class exercises and the iMotions software suite in the HUMAN Lab (Human Understanding, Modeling, Analysis, and Neurocognition), which serves as the companion lab module for the HIS course. Students engage in weekly lab activities using advanced sensors such as EEG headsets, eye-tracking glasses, ECG and GSR sensors, and cameras for facial expression recognition and hand/body tracking to analyze human behavior and cognitive processes. The course emphasizes hands-on activities in both classroom and lab environ-ments, preparing students to design, implement, and evaluate human-integrated systems in industry.
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