Information Package

Master's of Healthcare Management with Thesis

HCM552

QUANTITAVIVE DESICION MAKING TECHNICS IN HEATH CARE FAC.

Course Code
HCM552
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Gain the managerial decision-making skills
  2. Model problems and solve problems with using the program of WINQSB
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsThere is no recommended optional program component for this course.
Course DescriptionThis course introduces decisions for healthcare management. The importance of quantitative techniques, linear programming simplex method, sensitivity analyses, transportation and assignment models are introduced, and WINQSB packet program is used in this course. The objective of this course is to familiarize students with quantitative decision making techniques.
Course Contents
WEEK TOPICS
1st Week Introduction to network models
2nd Week Shortest path, maximal flow, minimum spanning tree
3rd Week Shortest path, maximal flow, minimum spanning tree
4th Week Network models applications
5th Week Network in PERT-CPM models
6th Week Network in PERT-CPM models
7th Week Solving CPM models
8th Week Midterm I
9th Week Solving PERT models
10th Week Queueing models
11th Week Queueing and inventory models
12th Week Inventory models
13th Week Midterm II
14th Week Game theory
15th Week Game theory
Recommended or Required ReadingTAHA,H.A.. (2000) Operations Research, Prentice-Hall
CHANG, Y.L. WINQSB, John Willey and Sons
Planned Learning Activities and Teaching Methods
  • Lecture
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 2 30
Assignment 1 10
Quiz 1 15
Presentation of Article 4 10
Total(%) 65
Contribution of In-term Studies to Overall Grade(%) 65
Contribution of Final Examination to Overall Grade(%) 35
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 2 2 4
Preparation for Quiz 1 8 8
Individual or group work 14 10 140
Preparation for Final exam 1 15 15
Course hours 14 3 42
Preparation for Midterm exam 1 10 10
Laboratory (including preparation)
Final exam 1 2 2
Homework 1 15 15
Article Presentation 4 1 4
Article 8 6 48
Total Work Load288
Total Work Load / 30 (h)9.6
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2
K1 X
K2
K3
K4
K5 X X
K6
K7
K8 X