Health care professionals are required to act morally and ethically.  This course is designed to expand the student's basic understanding of ethics to promote ethical awareness and enable students to derive better health care decisions that reduce risk of potential ethical consequence.  By exposing students to bioethics and controversial ethical issues typically encountered in current health care practice, students practice making difficult decisions.  Students will synthesize and implement strategies for applying morals, values and ethics systematically in the various settings in which health care is delivered.  Considering the perspectives of all stakeholders and the role of the health care provider, patient advocate, professional and consumer of medical care, students will gain workable knowledge of contemporary ethical issues and appreciate that ethics permeate the majority of decisions made in health care.

The application of quantitative techniques has expanded rapidly in medical decision-making. The emphasis on evidence based health care means that health care workers must be able to evaluate the results from published health care research studies. This course is the first of two courses designed to provide students with the knowledge of quantitative techniques. The course will cover descriptive statistics, parametric group comparison statistics, basic non-parametric statistics, and provide an introduction to linear modeling.

The aim of this course is to enable students to appreciate the richness of statistical science and to invite them to the concepts of probabilistic thinking. Statistics is the science of the future. Any technique that they are going to learn will help them to understand the unknown better, and in turn it will increase their success in other courses and in future professional careers. Principles of statistical inference build upon the course of Fundamentals of Biostatistics. As such, a prerequisite for enrolling in this course of Fundamentals of Biostatistics. The goals of this course are threefold: (1) introduce the basic concepts of probability as well as methods for calculating the probability of an event, (2) assist students in developing and understanding of probability theory and sampling distributions, and (3) familiarize students about inferences involving one or two populations, ANOVA, regression analysis, and chi-square tests.