Undergraduate Courses

Course Course Information Instructor
DSGN 1
Design of Everyday Things
 
Description: A team taught course highlighting development of the field and the broad range of topics covered in the major. Example topics include addiction, analogy, animal cognition, human-computer interaction, language, neuroimaging, neural networks, reasoning, robots, and real-world applications.
COGS 1
Introduction to Cognitive Sci
 
Description: A team taught course highlighting development of the field and the broad range of topics covered in the major. Example topics include addiction, analogy, animal cognition, human-computer interaction, language, neuroimaging, neural networks, reasoning, robots, and real-world applications.
COGS 8
Hands-On Computing
 
Description: Introductory-level course that will give students insight into the fundamental concepts of algorithmic thinking and design. The course will provide the students with first-person, hands-on experience programming a web crawler and simple physical robots.
COGS 9
Introduction to Data Science
 
COGS 10
Cognitv Consequence/Technology
 
Description: The role of cognition and computation in the development of state-of-the art technologies such as human computational interaction in aviation, air traffic control, medical diagnosis, robotics and telerobotics, and the design and engineering of cognitive artifacts.
COGS 11
Minds & Brains
 
Description: How damaged and normal brains influence the way humans solve problems, remember or forget, pay attention to things; how they affect our emotions, and the way we use language in daily life.
COGS 14A
Intro. to Research Methods
 
COGS 14B
Intro. to Statistical Analysis
 
COGS 17
Neurobiology of Cognition
 
Description: Introduction to the organization and functions of the nervous system. Topics include molecular, cellular, developmental, systems, and behavioral neurobiology. Specifically, structure and function of neurons, peripheral and central nervous systems, sensory, motor, and control systems, learning and memory mechanisms. (Students may not receive credit for both Biology 12 and Cognitive Science 17. This course fulfills general-education requirements for Marshall and Roosevelt Colleges as well as Warren by petition.)
Johnson, Christine M.
COGS 87
Freshman Seminar: Knowing the Limits of Science
 
Description: The Freshman Seminar Program is designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small seminar setting. Freshman Seminars are offered in all campus departments and undergraduate colleges, and topics vary from quarter to quarter. Enrollment is limited to fifteen to twenty students, with preference given to entering freshmen.
COGS 87
Freshman Seminar: Minds Making Religion
 
Description: The Freshman Seminar Program is designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small seminar setting. Freshman Seminars are offered in all campus departments and undergraduate colleges, and topics vary from quarter to quarter. Enrollment is limited to fifteen to twenty students, with preference given to entering freshmen.
DSGN 90
Undergraduate Seminar
 
DSGN 100
Prototyping
 
COGS 100
Cyborgs Now and in the Future
 
COGS 101A
Sensation and Perception
 
Description: An introduction to the experimental study of cognition with a focus on sensation and perception. Prerequisites: Cognitive Science 1.
Johnson, Christine M.
COGS 102A
Distributed Cognition
 
Description: Cognitive processes extend beyond the boundaries of the person to include the environment, artifacts, social interactions, and culture. Major themes include the philosophy and history of cognitive science, the role of artifacts in human cognition, and theories of socially-distributed, embodied, and extended cognition. Prerequisites: Cognitive Science 1 and Cognitive Science 14A.
COGS 107A
Neuroanatomy and Physiology
 
COGS 109
Modeling & Data Analysis
 
Description: Exposure to the basic computational methods useful throughout cognitive science. Computing basic statistics, modeling learning individuals, evolving populations, communicating agents, and corpus-based linguistics will be considered. Prerequisites: Mathematics 20F and CSE 7 and (Cognitive Science 14B or ECE 109 or Mathematics 11 or Mathematics 180A) or consent of instructor.
COGS 110
The Developing Mind
 
COGS 118B
Intro to Machine Learning II
 
Description: This course is an introduction to computational modeling of biological intelligence, focusing on neural networks and related approaches to unsupervised learning. Topics include density estimation, clustering, self-organizing maps, principal component analysis, information theoretic models, and evolutionary approaches. Prerequisites: Cognitive Science 109, Mathematics 20E, Mathematics 20F, and Mathematics 180A or consent of instructor.
COGS 119
Programming/Experimental Res.
 
COGS 120
Interaction Design
 
COGS 124
HCI Technical Systems Research
 
COGS 155
Gesture and Cognition
 
COGS 160
Seminar on Special Topics: Social Cognitive Development
 
Description: Special topics in cognitive science are discussed. (May be repeated when topics vary.) Prerequisites: department approval.
COGS 174
Drugs: Brain, Mind and Culture
 
Description: This course explores how drugs interact with the brain/mind and culture. It covers evolutionary and historical perspectives, brain chemistry, pharmacology, expectancies and placebo effects, and models of addiction. It also provides a biopsychosocial survey of commonly used and abused substances. Prerequisites: upper-division standing.
COGS 175
Alternate States/Consciousness
 
Description: This course will review the literature that correlates brain rhythms in the human EEG with aspects of cognition, behavioral states, neuropsycho-pharmacology, and psychopathology in order to understand the psychological and neurophysiological underpinnings of these experiences. Prerequisites: Cognitive Science 101A or Cognitive Science 107A.
COGS 179
Electrophysiology of Cognition
 
COGS 181
Neural Networks/Deep Learning
 
COGS 187A
Usability & Info. Architecture
 
Description: Examines the cognitive basis of successful web and multimedia design. Topics: information architecture, navigation, usability, graphic layout, transaction design, and how to understand user interaction. Prerequisites: CSE 7.

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