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Fall 2019: Computational Modeling in HCI

Fall 2019: Computational Modeling in HCI

Course No:
EECS 598-002
Credit Hours:
3 credits
Instructor:
Nikola Banovic
Prerequisites:
Programming experience in Java, Python, MATLAB or R

This seminar style course will teach students methods to track, collect, and express human behavior data as computational models of behavior. The course will have a particular focus on computational approaches to describe, simulate, and predict human behavior from empirical behavior traces data. It will contrast computational modeling with other methodologies to understand human behavior and compare computational modeling with existing behavior modeling methodologies in Human-Computer Interaction (HCI). Short individual assignments will give students exposure to existing modeling methods in HCI. Large,group-based final project will give students an opportunity to push the boundaries of computational modeling in HCI by modeling behaviors of their choice from an existing data set to design and implement a novel Computational Modeling system from scratch.

More info (pdf)