This course will provide a broad introduction to neuroscience, focusing on examples and approaches from cellular and molecular, cognitive, behavioral, systems, and computational neuroscience. The lecture aspect of the course will be accompanied by a 75-minute practicum in which students will engage directly in experimental neuroscience.

Units: 1

Max Enrollment: 32

Prerequisites: Fulfillment of the Quantitative Reasoning (QR) component of the Quantitative Reasoning & Data Literacy requirement.

Instructor: Bauer, Marshall, Quinan, Wasserman, Tetel

Distribution Requirements: EC - Epistemology and Cognition; NPS - Natural and Physical Sciences

Typical Periods Offered: Spring; Fall

Semesters Offered this Academic Year: Spring; Fall

Notes: