Information Package

Master's of Healthcare Management without Thesis (Distance Education)

SYUP512

QUANTITATIVE DECISION MAKING TECHNICS IN HEALTH CARE FAC.

Course Code
SYUP512
Semester
-
Theory+Practice
3 + 0
ECTS
8
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS8
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 DeliveryE-Learning
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 Solving PERT models
9th Week Solving PERT models
10th Week Queueing models
11th Week Queueing and inventory models
12th Week Inventory models
13th Week Inventory models
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 (%)
Assignment 2 20
Total(%) 20
Contribution of In-term Studies to Overall Grade(%) 20
Contribution of Final Examination to Overall Grade(%) 80
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam
Preparation for Quiz
Individual or group work 15 4 60
Preparation for Final exam 1 35 35
Course hours 15 3 45
Preparation for Midterm exam
Laboratory (including preparation)
Final exam 1 1 1
Homework 3 30 90
Total Work Load231
Total Work Load / 30 (h)7.7
ECTS Credit of the Course8
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2
K1 X
K2
K3
K4
K5
K6 X
K7 X
K8
K9 X
K10