Cognitive Science | Experiments & Models in Cognitiion
Q270 | 3568 | Busey

Lecture: 9:30A-10:45A, TR

Lab: 9:05A-9:55A, W

This course is designed to provide an intensive introduction to
laboratory methods in cognitive science.  The formal skills
emphasized by this course are:  experimental design, statistical
analysis, computational modeling of human behavior, and scientific
writing.  The content areas covered in the course are:  perception,
pattern recognition, hemispheric specialization, consciousness,
concept learning, neural networks, and mathematical psychology.  The
course is grounded in a "learning by doing philosophy."  There will
be very few general lectures.  The majority of our time will be
spent discussing research issues as they relate to particular
experiments.  You will learn about experimental control, statistical
analysis, research writing, and analysis techniques, but you will
learn about these topics while investigating real issues in
cognitive science.  Rather than try to give a broad overview of all
of the major areas in cognitive science, I have chosen to select a
few specific research areas that are within the mainstream of
cognitive science.  Although you will not get a general survey of
cognitive science, you will acquire a depth of understanding about
some areas.