Education
Perceptive Computing 05-899D
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Perceptive Computing is a computational simulation of human insight or intuition in surviving, learning and reasoning. It is a way to summarize seemingly disjoint data into significant parts and pass the summary information to decision entities. It was an advanced project course. The goal was to develop novel perceptive algorithms for solving real-world problems and beyond. All the data used in this class were extracted from actual research projects. One paper from the class was published at a conference in Italy. This graduate class, taught by Yang Cai, was offered at Carnegie Mellon University the fall and spring of 2003. |
Human Algorithms 06-427(Fine Art), 05-899E (HCI)
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The goal of this studio class was to create digital human models that interacts with environment and culture. The content included figure modeling, aging morphing, tactile sensing, modeling from artifects, etc. The class project was to develop a collection of artifacts that brought digital life to the archeological site (5500 years old) in Kazakhstan, Siberia. Students worked in a production team, guided by experts from Carnegie Meseum. This graduate class, taught by Yang Cai, was offered at Carnegie Mellon University the fall of 2003. |
Innovation Process 05-899C
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The course was designed to train the fearless students in how to apply innovation process in human-computer interaction design. It introduced essential creative thinking methods for idea generation at the early innovation stage. Those methods included TRIZ that has been used in Kodak and 3M. Practical case studies were discussed in the class. The student was required to accomplish a self-initiated term project that was presented at Carnegie Science Center for a real public exhibition from Dec. 10 through Dec. 17, 2002. In addition, the students interacted with designers, artists and a group of local visually impaired computer users. This graduate class, taught by Yang Cai, was offered at Carnegie Mellon University the fall of 2002. |