Courses Taught by David Mendez

HMP553: Data Management in Health Care

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3 credit hour(s) for residential students;
  • Instructor(s): Ladhania, Rahul Mendez, David (Residential);
  • Prerequisites: None
  • Description: This course introduces the students to the use of spreadsheets and relational databases for decision-making. It covers data manipulation and analysis, formatting and charting using Microsoft Excel; as well as design and implementation of, and data retrieval from, small-to-medium relational database systems using Microsoft Access.
  • Syllabus for HMP553

HMP565: Spreadsheet Modeling

  • Graduate level
  • Executive Masters
  • Fall term(s) for Executive Masters students;
  • 1 credit hour(s) for Executive Masters students;
  • Instructor(s): Mendez, David (Executive Masters);
  • Prerequisites: none
  • 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.
  • Syllabus for HMP565

HMP654: Operations Research and Control Systems

  • Graduate level
  • Executive Masters, Residential and Online MPH
  • This is a second year course for Online students
  • Fall term(s) for Executive Masters and residential students; Fall term(s) for online MPH students;
  • 2-3 credit hour(s) for Executive Masters and residential students; 2 credit hour(s) for online MPH students;
  • Instructor(s): Mendez, David Hutton, David (Residential/Executive Masters); Mendez, David (Online MPH);
  • 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.
  • Residential Syllabus for HMP654

HMP655: Decision Making Models in Health Care

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3 credit hour(s) for residential students;
  • Instructor(s): Mendez, David Hutton, David (Residential);
  • Not offered 2021-2022
  • Prerequisites: HMP654
  • Description: Application of computer models for decision making in the health care sector. The students will be exposed to Monte Carlo Simulation, Process Simulation, Multiple Regression analysis, Discriminant Analysis, Project Management, Inventory Control, Integer Linear Programming, and Multi-Criteria Optimization. Use of computers and spreadsheet modeling will be emphasized throughout the class.
  • Syllabus for HMP655