Cognitive Science | Experiments & Models in Cognition
Q270 | 0951 | Goldstone

11:15am - 12:30pm TR  PY 228
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.