| Call Number | 16074 |
|---|---|
| Day & Time Location |
M 5:30pm-8:20pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Paul W Thurman |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Analytics and Managerial Decision-Making I is the first of two required quantitative methods courses taken in sequence by all MHA students. These courses are foundational to the MHA curriculum. The two courses are fully integrated with respect to materials, exercises and cases, and by a two-term, team-based application project. Managers are continually confronted with the need to make significant decisions concerning the organizational and financial performance of a health organization, based on a combination of strategic intention, practical experience, and interpretation and application of complex data and information. Data analysis is one tool that supports such decision-making. This course is designed to provide management students with the tools to generate and present data-driven and model-based management recommendations that are meaningful and implementable. The course focuses on learning basic tools for the collection, analysis, and presentation of data in support of managerial/executive decision-making. Topics will include introductory data and statistical exploration from basic descriptive statistics to population and market estimation, comparison testing and decision-making, sampling design and analysis, and predicting/forecasting using linear regression. Using Excel as an additional tool, the course develops analytical skills to prepare managers to make and to present informed decisions in the overall healthcare sector. |
| Web Site | Vergil |
| Department | Health Policy & Management |
| Enrollment | 0 students (35 max) as of 9:14PM Wednesday, November 20, 2024 |
| Subject | Health Policy and Management |
| Number | P6545 |
| Section | 001 |
| Division | School of Public Health |
| Open To | GSAS, Public Health |
| Note | Permissions: PTM YR2 ONLY |
| Section key | 20251HPMN6545P001 |