The focus of the course will be models of health- related behavior, including the Health Belief Model, the Theory of Planned Behavior, Social Cognitive Theory, and Stages of Change Theory, discussing development of the models, similarities and differences, strengths and weaknesses, and suggestions for future model development. We will also look at the extent to which the models explain behavior and behavior change empirically, and how useful they may be (or not be) in the development of primary and secondary prevention interventions.

This class explores the issues related to health and well-being among older women. Using a multidisciplinary approach that blends humanities, social and medical science and public policy, the course examines social, economic and cultural contexts of chronic physical and mental health.

This seminar course is designed to survey major tops, concepts and issues pertinent to the field of drug and alcohol abuse and dependence. The course will consist of 14 weekly presentations by instructors followed by open discussion of the presentation and assigned readings by class members. Active participation by all members is expected. Each weekly presentation is designed to provide a general overview of the current state of knowledge (e.g., theory, methods, ethics, and review of classic and/or exemplary studies) in a given area of drug and alcohol abuse and dependence research.

With the advice and approval of his or her faculty adviser, the first- year student may choose approved electives offered by the Department of Behavioral Science. The intent is to provide the student an opportunity for exploration and study in an area which supplements and/or complements required course work in the first-year curriculum. Pass-fail only.

BST 676 covers the theoretical underpinnings of probability and inference as it relates to methodology in public health. Topics include, but are not limited to, random variables, independence, discrete and continuous distributions, confidence intervals, hypothesis testing, and efficient estimators.

This course, the second in a two-semester sequence in regression modeling, covers regression models for outcomes which are not normally distributed, such as binary and count data. The course will cover the generalized linear model framework, multivariate maximum likelihood theory, logistic regression, Poisson regression, and nominal and ordinal logistic regression models, as well as approaches for building models and checking assumptions. The course will include the use of computing tools to apply these models to real data.

In this course, dental students participate in preclinical seminars on dental treatment of mentally, medically, and physically disabled patients. Topics to be discussed include geriatrics, special needs adults with mental and physical disabilities, special needs pediatric patients, hospital-based patients, and those in recovery groups due to substance abuse. Discussion will include the etiology, prevalence, and modifications to treatment for these patients.

This course is the second year of the two year longitudinal core curriculum in Interprofessional HealthCare education. The course focuses primarily on team approaches to patient quality & safety and issues surrounding transitions in settings of patient care. Background information is presented through BlackBoard and students then meet in several interprofessional groups for discussions and completion of a group capstone project. There are also two required named lectures to attend and one session on Evidence Based Dentistry (EBD). Seminar, 16 hours.

This course will provide dental students who have an interest in teaching an opportunity to learn about being a dental faculty member in a systematic way. This course will educate dental students on two main subjects: 1) Roles, responsibilities, and opportunities for dental educators in an academic institution, and 2) Effective teaching in the classroom and clinic. Lecture, 16 hours.

A detailed investigation of a topic of current significance in civil engineering such as: design of small earth dams, man and the environment, drilling and blasting, scheduling construction operations, construction equipment and methods, traffic safety, optimum structural design, environmental impact analysis, systems analysis in civil engineering, motor vehicle noise and its control. May be repeated to a maximum of eight credits, but only four credits can be earned under the same title. A particular topic may be offered at most twice under the CE 399 number.