Information Package

Program of Healthcare Management (English 30%)

HCM373

HEALTH ANALYTICS I

Course Code
HCM373
Semester
-
Theory+Practice
3 + 0
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Gain the managerial decision-making skills
  2. Comprehend problem modeling methods
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsThere is no recommended optional programme component for this course.
Course DescriptionDecision variables, constraints, objective function, mathematical modeling in linear programming (LP), mathematical modeling and graphical solution for LP, mathematical modeling and graphical solution for LP, graphical solution for LP and simplex algorithm, simplex tableau and duality, sensitivity analysis, assignment models, transportation models are included in this course.
Course Contents
WEEK TOPICS
1st Week Decision variables, constraints, objective function
2nd Week Mathematical modeling in linear programming (LP)
3rd Week Mathematical modeling and graphical solution for LP
4th Week Mathematical modeling and graphical solution for LP
5th Week Graphical solution for LP and simplex algorithm
6th Week Simplex tableau
7th Week Simplex tableau and duality
8th Week Midterm exam
9th Week Duality applications
10th Week Sensitivity analysis
11th Week Sensitivity analysis applications
12th Week Assignment models
13th Week Assignment models
14th Week Transportation models
15th Week Transportation models
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
  • Questions/Answers
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz 0 0 0
Individual or group work 14 4 56
Preparation for Final exam 1 15 15
Course hours 14 3 42
Preparation for Midterm exam 1 12 12
Laboratory (including preparation) 0 0 0
Final exam 1 1 1
Homework 0 0 0
Article 3 5 15
Total Work Load142
Total Work Load / 30 (h)4.73
ECTS Credit of the Course5
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2
K1 X X
K2
K3
K4
K5 X X
K6 X X
K7 X X
K8 X X
K9
K10