Description: This course introduces the students to the use of spreadsheets for decision-making. It covers data manipulation and analysis, formating and charting using Microsoft Excel.
Description: Introduction to statistics with applications to problems that arise in the field of health management and administration. The students will be exposed to basic probability theory, sampling distributions, hypothesis testing, analysis of variance, simple and multiple regression analysis, and logistic regression. All the analyses will be conducted using Microsoft Excel.
Learning Objectives: Students will develop skills in
i) formulating an abstract statistical model of a health management- or policy-related problem;
ii) choosing the appropriate statistical technique to analyze the problem
iii) translating the solutions to the problem from the statistical model back into the original “real world” situation.
Prerequisites: Biostat 501 or Biostat 521 or equiv and Grad Status
Description: Provides rational framework for decision making for both operating and control systems in the hospital environment. Emphasizes basic modeling techniques and examples of actual hospital applications. Aims at thorough understanding of concepts of total value analysis, objective function formation, and exception reporting. Students become familiar with operations research techniques of inventory modeling, queuing, computer simulation, PERT/CPM, mathematical programming, and quality control. Presentation emphasizes objectives, constraints, and required assumptions of each of these techniques as applied to specific hospital examples.
Undergraduates are allowed to enroll in this course.
Description: Lecture, seminars and readings selected on a current or emerging topic or theme in health, management and policy. The specific material and format will vary by semester and instructor.
Learning Objectives: Will vary by topic and instructor.
