This course uses the critical methodologies of the humanities and the social sciences to consider some of the questions provoked by the Global Black experience. Course Materials will allow students to survey the lasting contributions of Africans and their descendants to the development of various world civilizations and examine historical relationships between the individual actors and the larger social forces. The major themes that will be used to comprehend the experience of African-descended people are Loss, Identity, Gender, and Sexuality.

The course provides an introduction to the organization and function of the mammalian nervous system along with an exploration of the brain using multiple levels of analysis ranging from molecular to cognitive and behavioral approaches. The course develops an appreciation of how brain cells interact to orchestrate responses and experiences. Emphasis is placed on the cellular and molecular physiology of the nervous system with a focus on retinal phototransduction and mechanisms governing memory. The material is presented at a level accessible for life science majors.

Structure and function of biological macromolecules: proteins and nucleic acids. Mechanisms of conformational change and cooperative activity; and bioenergetics, enzymes and regulation. Concurrent registration in BCH 253 is required for biochemistry majors. Prerequisites: CHM 111 or CHM 118, CHM 222 and BIO 132. Enrollment limited to 78.

The two main goals of this course are 1) to explore the multi-faceted nature of our own cultural identities and those of our clients, and 2) to learn strategies to engage respectfully and provide quality service to clients from a diverse range of backgrounds. The format will involve critical discussion of readings, videos, and podcasts; guest speakers; case studies; reflection journals; and projects.

Not available at this time

This course is a high-paced introduction to Topological Data Analysis (TDA), a fast-evolving field that focuses on identifying and analyzing the shape (topology) of data. TDA provides tools and concepts to analyze and understand complex high-dimensional datasets. The course will primarily focus on the theoretical aspects of TDA.

Not available at this time

Not available at this time