Not available at this time

Course description not available at this time.

This lab course will cover basic concepts of microbiology with an emphasis on sterile technique, microscopy, isolation and cultivation of microorganisms. Identification of pathogenic organisms, antibiotic susceptibility testing, how pathogens are spread and the detection of microbes in food will be covered. This is a 2 credit course for NON-MAJORS. It is geared for students applying to post-graduate health care programs (physician assistant, nurse practitioner, pharmacy, etc.).

This lab course will cover basic concepts of microbiology with an emphasis on sterile technique, microscopy, isolation and cultivation of microorganisms. Identification of pathogenic organisms, antibiotic susceptibility testing, how pathogens are spread and the detection of microbes in food will be covered. This is a 2 credit course for NON-MAJORS. It is geared for students applying to post-graduate health care programs (physician assistant, nurse practitioner, pharmacy, etc.).

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

Not available at this time.

Not for credit toward major. How cancer and AIDS begin and progress. The roles of individual cells, the immune system, mutations and viruses. How various physical and subtle factors influence one's chances of getting cancer. How to not get AIDS. The principles of vaccine development and why AIDS presents special difficulties. Established and new medical treatments for cancer and AIDS. What cancer and AIDS can teach us about health, healing, disease, living, and dying. (Gen.Ed. BS)

Maximum credit, 6.

This is a class on the mathematical foundations and the applications of distances and divergences between probability measures. Among the topics to be treated: Entropies, Kullback-Leibler and general f-divergences; Optimal transport and Wasserstein metrics; Maximum mean discrepancy and reproducing kernel Hilbert spaces, Stein discrepancies, and integral probability metrics.

Linear representations of groups allow one to study arbitrary groups using matrix groups and linear algebra. This course will cover the fundamentals of the representation theory of finite groups, including character theory, induced representations and applications to the study of classes of finite groups.