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3
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80768
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Lecture-Discussion
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YD
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3:30PM
-4:50PM
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TR
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140 Burrill Hall
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Dong, Y
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- Availability:
- Open (Restricted)
- Part of Term:
- 1
- Date Range:
- 08/24/26-12/09/26
- Credit:
- 4 hours
- Section Title:
- AI-Driven Intelligent Systems
- Section Info:
- This course explores the development of AI-driven intelligent systems with an emphasis on creating real-world impact on real-world challenges in healthcare, manufacturing, and cyber-physical systems. The main components of this course include lectures and group projects. Students will be guided through a research project cycle, starting with sensing and data collection from diverse sources, such as wearables, images, videos, acoustics, and structural vibrations, to AI and data modeling of the collected data for predictive analysis, anomaly detection, and decision-making. By the end of this course, students will be able to: 1) Understand the basics of sensors, data processing, and AI models. 2) Formulate a research study motivated by real-world problems. 3) Gain hands-on experience in designing a health intelligence system and present the outcomes through scientific writing and presentations. Prior exposure to probability, statistics, and programming (e.g., MATLAB, Python) is needed. It is necessary to be able to code in order to complete the assignments and projects.
- Restriction(s):
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Restricted to students with Senior or Graduate class standing.
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