The role of AI in Engineering applications is steadily increasing. Systems are being used for diagnosis and trouble shooting, design, intelligent control, planning, and a wide variety of other expert applications. AI will play an increasing and particularly important role in the integration of information technology into Engineering systems. The NSF indicates that there are many research opportunities in Engineering Design.
This course will examine some of the AI-based work being done currently, and in the past, on design problem-solving. The domains will be Electrical Engineering design, Mechanical Engineering design, Civil Engineering design, and Software design
The main goal of the course is obtain a deeper understanding of what design is, and how AI methods and AI-oriented thinking might be used to support it and study it.
This course will be of particular interest to those people wanting to prepare for research in design problem-solving or those building design applications. It will also be of interest to those studying CAD, CAE, CAM, and other computational methods of support for Engineering, as well as those interested in AI applications.
Graduate students from departments other than Computer Science are welcome provided they have some CS background. Past classes have included graduate students from Mechanical Engineering, Fire Protection Engineering, Electrical & Computer Engineering, Manufacturing, Civil Engineering, and Computer Science, as well as many people from Industry.
The course will be run in seminar style with readings of current literature and with student presentations. There will be several papers to read each week. There are writing assignments, but no programming assignments.
Prior knowledge of Artificial Intelligence would be a distinct advantage. AI course preparation is strongly suggested, and should only be waived after consulting with the instructor
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