Global-Leading Research and Education in Brain and Cognitive engineering KOREA UNIVERSITY The Dect. of Cognitive Engineering at Korea University aims to be ranked in TOP10 worldwide through
fostering creaive minds, promoting to research-oriented university, and creating national new driving forces.

Courses

BRI629 - Applied Mathematics for Brain and Cognitive Engineering Ⅰ[3]
Author Administrator (IP: *.95.221.242) Date 2015-03-17 13:38 Views 319
This course reviews mathematical techniques involving differential equations and engineering mathematics which
are essential in the analysis of brain and cognitive engineering.


Major Course
BRI621 - Minds, Brains, and Computers [3]
Mental activities, such as language comprehension and visual cognition are related to complex computation
occurring in the brain. This course provides answers to how the brain computes for different mental activities,
what "computation" the brain performs and how the brain activities are related to minds.
BRI622 - Perception, Cognition and Action [3]
This course will cover important basic and current theories of Perception, Cognition
and Action. Students will experience how scientists design experiments to test a
biological motivated perception theory and discover how scientific theories evolve
over time as a consequence of experimental results. Also, the course will provide
opportunity to learn how to present and critically discuss papers.
BRI623 - Pattern Recognition [3]
This course discusses general pattern recognition problems, including issues of statistical Bayesian classification.
The course reviews Bayesian decision theory, Bayesian parameter estimation, non-parameter estimation, determination
of the linear function, neural networks, and includes a part of statistical machine learning.
BRI624 - Brain Signal Processing [3]
This course introduces basic concepts of brain signal processing, such as continuous-time signal and expression of
the system for brain signal processing, mutual relationship of the system and continuous-time signal, phase space,
sampling, and the relationship between continuous-time signal and discrete-time signal. Also, the course provides
practice opportunities using various brain signal detection apparatus and software.
BRI625 - Biocommunication Theory [3]
This course introduces linear DC circuits and the transient response, related to biological responses in the brain.
BRI626 - Brain-Computer Interface [3]
This course investigate the basic theories and current research trends of brain-computer interface. It will cover
various case studies of brain-computer interface and provide opportunities to practice programming using up-to-
date hardwares and softwares.
BRI627 - Cognitive Robot [3]
In this course, students investigate basic concepts related to building a cognitive robot
which is able to imitate human-like cognitive behavior, which is the ultimate goal of the
robotic field. They also investigate computational models for visual information processing,
language processing, speech recognition, context awareness and methodologies that can
realize them.
BRI628 - Machine Learning [3]
This course focuses on the theories and applied fields of machine learning. Students will
grasp learning algorithms through projects and investigate current research trend and
applied fields through dissertation seminars.
BRI629 - Applied Mathematics for Brain and Cognitive Engineering Ⅰ[3]
This course reviews mathematical techniques involving differential equations and engineering mathematics which
are essential in the analysis of brain and cognitive engineering.
BRI630 - Applied Mathematics for Brain and Cognitive Engineering Ⅱ [3]
This course is an advanced course which reviews advanced theories of
mathematics for brain and cognitive engineering.
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