Course Schedule and Catalog
Course Schedule - Spring Semester 2026
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
CSCI 340 001 (CRN: 21997)
METHODS OF COGNITIVE SCIENCE
Long Title: METHODS OF COGNITIVE SCIENCE
Department: Cognitive Sciences
Instructor: Moore, Bart
Meeting: 9:25AM - 10:40AM TR (12-JAN-2026 - 24-APR-2026)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Section Max Enrollment: 25
Section Enrolled: 26
Waitlisted: 5 (Max 99)
Current members of the waitlist have priority for available seats.
Enrollment data as of: 25-NOV-2025 7:09AM
Final Exam: Take-Home Exam
Description: Cognitive science is a basic science of mental operations in humans, animals, and artificial systems. It is a highly interdisciplinary endeavor that draws on philosophy, psychology, biology, linguistics, and computer science, among other traditional disciplines. This course provides an integrated introduction to the primary empirical methods for studying the human mind. Students will learn how the scientific method is applied to study mental information representation, manipulation, and utilization in natural and artificial cognitive systems. It will teach students to understand and evaluate existing methodological approaches as well as recognize what is necessary to replicate results. Topics include the philosophical foundations of cognitive science, basic methods of cognitive psychology, neuroscience, linguistics, computational modeling, data analysis, and ethical responsibility when conducting cognitive research.