Minds and Machines

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Course Description

(Formerly SYMSYS 100). An overview of the interdisciplinary study of cognition, information, communication, and language, with an emphasis on foundational issues: What are minds? What is computation? What are rationality and intelligence? Can we predict human behavior? Can computers be truly intelligent? How do people and technology interact, and how might they do so in the future? Lectures focus on how the methods of philosophy, mathematics, empirical research, and computational modeling are used to study minds and machines. Students must take this course before being approved to declare Symbolic Systems as a major. All students interested in studying Symbolic Systems are urged to take this course early in their student careers. The course material and presentation will be at an introductory level, without prerequisites. If you have any questions about the course, please email symsys1staff@gmail.com.

Cross Listed Courses

Grading Basis

ROP - Letter or Credit/No Credit

Min

4

Max

4

Course Repeatable for Degree Credit?

No

Course Component

Discussion

Enrollment Optional?

No

Course Component

Lecture

Enrollment Optional?

No

This course has been approved for the following WAYS

Formal Reasoning (FR)

Does this course satisfy the University Language Requirement?

No