Current trends in virology. Typical topics include DNA tumor viruses, RNA tumor viruses, persistent virus infections, and interference. Emphases of molecular mechanisms.

Guiding an undergraduate student conducting a research project in biological sciences, under the supervision of a member of the graduate faculty. The graduate student enrolled in this course develops a suitable project within his/her area of expertise and obtains approval from the course instructor. The graduate student then presents the project to the undergraduate researcher and serves as the primary mentor throughout, in regular and frequent consultation with the instructor. Intended primarily for more advanced graduate students. May be repeated to a maximum of two credit hours.

Key concepts of regulatory strategy, business models as well as a series of overlying and overlapping strategies related to implementation of biomedical engineering solutions for healthcare needs will be discussed.

Continuous and discrete signals, sampling, Fourier Transform, LaPlace Transform, Z-Transform, correlation and spectral analysis, digital filters.

Homeostatic mechanisms, input-output analysis, steady state and transient response, feedback concepts, system identification and simulation from actual operating data.

Cross-cultural survey of health, disease, and healing in folk, primitive, and modern pluralistic societies. Biocultural and ethnomedical approaches in medical anthropology.

This course offers a structural exposure of students to the varieties of basic and clinical science research and current issues in healthcare policy under discussion at the University Medical Center. Following weekly attendance at research seminars and clinical rounds, students will present their observations in follow-up discussion groups. May be repeated to a maximum of three credits.

This course is designed to support clinical and translational science students in acquiring an applied understanding of the biostatistical tools and techniques commonly used in the conduct of clinical and translational science research. Through a combination of lectures, readings, demonstrations, discussions, and self-study modules, students will understand and appreciate measurement and statistical challenges that are common to clinical and translational science.

An in-depth discussion of theory and method of the various approaches to cultural and social factors in the etiology, distribution, and treatment of mental illness. Data from non-Western and Western cultures are examined.

This class will utilize case studies for debate, class participation, and papers to help students gain skills to recognize and resolve research dilemmas. Objectives of this class include: (1) understand basic elements of ethical dilemmas; (2) to understand basic ethical theories and frameworks for solving ethical dilemmas; (3) to examine ethical dilemmas within a behavioral or medical science research context; and, (4) to examine ways of eliminating bias and promoting objectivity in a behavioral or medical science research context.