Courses Needing Instructional Apprentices

Course Course Information Instructor
Design of Everyday Things
TR 09:30-10:50 in HSS 1346 (website)  
Description: A project-based course examining how principles from cognitive science apply to the design of things simple (doors) and complex (new technology). Learn about affordances, constraints, mappings, and conceptual models. Learn observational and design skills. Become a human-centered design thinker.
Meyer, Michael Wayne
Introduction to Cognitive Sci
MWF 16:00-16:50 in WLH 2001  
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.
An Introduction to Computing
MWF 10:00-10:50 in CENTR 113 (website)  
Description: A practical introduction to computers. Designed for undergraduates in the social sciences. Topics include: basic operations of personal computers (MAC, PC), UNIX, word processing, e-mail, spreadsheets, and creating web pages using the World Wide Web. No previous background in computing required.
Introduction to Data Science
TR 18:30-19:50 in CENTR 101 (website)  
Fleischer, Jason G
Intro. to Research Methods
MWF 11:00-11:50 in PCYNH 106 (website)  
Intro. to Statistical Analysis
MWF 14:00-14:50 in SOLIS 107  
TR 15:30-16:50 in PETER 108  
Description: An introduction to structure of natural language, and to the cognitive processes that underline its acquisition, comprehension, and production. This course covers findings from linguistics, computer science, psychology, and cognitive neuroscience to provide an integrated perspective on human language abilities. Prerequisites: Cognitive Science 1 and 14A.
Distributed Cognition
TR 15:30-16:50 in LEDDN AUD  
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.
Johnson, Christine M.
Cognitive Neuroscience
TR 14:00-15:20 in GH 242  
Description: This course reviews research investigating the neural bases for human mental processes, including processing of affective, social, linguistic, and visuospatial information, as well as memory, attention, and executive functions. Also discussed are brain development and brain aging, and the nature of intelligence and creativity. Prerequisites: Cognitive Science 107B and its prerequisites.
Intro to Machine Learning I
MWF 11:00-11:50 in CENTR 212 (website)  
Description: This course is one part of a two-course foundation that forms a rigorous introduction to machine learning and computational modeling of biological intelligence. Natural Computation I and II are independent courses that may be taken in either order. Topics in Natural Computation I may include Bayesian inference, regression, graphical models, sampling, hidden Markov model, decision theory, information theory, reinforcement learning, and some application areas. Prerequisites: Mathematics 20F or Mathematics 31AH, and Mathematics 180A or ECE 109, and Cognitive Science 109 or CSE 11, or consent of instructor.
COGS 153
Language Comprehension
TR 08:00-09:20 in WLH 2207  
COGS 164
Neurobiology of Motivation
TR 11:00-12:20 in PETER 102  
COGS 171
Mirror Neuron System
TR 11:00-12:20 in CSB 005 (website)  
COGS 178
Genes, Brains & Behavior
TR 15:30-16:50 in CSB 005 (website)  
Description: Evidence for genetic mediation of behavioral and neural differences, mechanisms that may mediate these effects, and the roles of the environment and experience are discussed. Prerequisites: Cognitive Science 107A and 107B or consent of instructor.

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