ENROLL

Stephan G Zweifel

A study of the transmission of genetic information between generations of organisms, and of the mechanism of expression of information within an individual organism. The main emphasis will be on the physical and chemical basis of heredity; mutational, transmissional and functional analysis of the genetic material, and gene expression.

Prerequisite: Biology 125 and 126 or instructor permission

Sophomore Priority, requires concurrent registration in Biology 241

Waitlist for Juniors and Seniors: BIOL 240.WL0 (Synonym 64196)

Anna N Rafferty

An introduction to the theory of computation. What problems can and cannot be solved efficiently by computers? What problems cannot be solved by computers, period? Topics include formal models of computation, including finite-state automata, pushdown automata, and Turing machines; formal languages, including regular expressions and context-free grammars; computability and uncomputability; and computational complexity, particularly NP-completeness.

Prerequisite: Computer Science 201 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

David R Musicant

There are many situations where computer systems must make intelligent choices, from selecting actions in a game, to suggesting ways to distribute scarce resources for monitoring endangered species, to a search-and-rescue robot learning to interact with its environment. Artificial intelligence offers multiple frameworks for solving these problems. While popular media attention has often emphasized supervised machine learning, this course instead engages with a variety of other approaches in artificial intelligence, both established and cutting edge. These include intelligent search strategies, game playing approaches, constrained decision making, reinforcement learning from experience, and more. Coursework includes problem solving and programming.

Prerequisite: Computer Science 201. Additionally Computer Science 202 is strongly recommended.

Lawrence J Wichlinski

An introduction to the physiological bases of complex behaviors in mammals, with an emphasis on neural and hormonal mechanisms. A grade of C- or better must be earned in both Psychology 216 and 217 to satisfy the LS requirement. Requires concurrent registration in Psychology 217

Prerequisite: Concurrent registration in Psychology 217; Psychology 110

PSYC 217 required.

Lawrence J Wichlinski

Prerequisite: Concurrent registration in Psychology 216; Psychology 110

PSYC 216 required.

Lawrence J Wichlinski

Prerequisite: Concurrent registration in Psychology 216; Psychology 110

PSYC 216 required.

Julia F Strand

Prerequisite: Psychology 110 or instructor consent

8 spots held for sophomores (sophomores register for PSYC 220 10)

Julia F Strand

Prerequisite: Psychology 110 or instructor consent

Held for sophomores, sophomores unable to register should waitlist for PSYC 220 00

Gisel G Flores-Montoya

The immune system directly influences the central nervous system and behavior during both health and disease. The course will have an emphasis on animal behavior (e.g. memory and sociability assays) and techniques in neuroimmunology that range from genetic engineering (e.g. CRISPR and DREADD) to immune cell function, detection of surface receptors, and protein expression (e.g. flow cytometry, confocal microscopy, immune cell migration assays, ELISA, and western blot.) The topics that will be covered range from how cytokines influence behavior to effects of gut microbiota in brain function and behavior. This course will primarily use empirical research that will help you develop a deeper understanding of molecular techniques, cell biology, and develop strong analytical skills of biological findings in immunology and its connection with animal behavior. 

Prerequisite: Neuroscience 127 or Psychology 216 recommended or instructor permission