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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
HEALTH ANALYTICS I HCM373 - 3 + 0 5

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED5
NAME OF LECTURER(S)Professor Şahin Kavuncubaşı
LEARNING OUTCOMES OF THE COURSE UNIT 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
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTThere is no recommended optional programme component for this course.
COURSE DEFINITIONDecision 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
WEEKTOPICS
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 Midterm Exam
8th Week Simplex Tableau and Duality
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
RECOMENDED OR REQUIRED READINGTAHA,H.A.. (2000) Operations Research, Prentice-Hall
CHANG, Y.L. WINQSB, John Willey and Sons
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Questions/Answers,Problem Solving
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term140
Total(%)40
Contribution of In-term Studies to Overall Grade(%)40
Contribution of Final Examination to Overall Grade(%)60
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam111
Preparation for Quiz000
Individual or group work14456
Preparation for Final exam11515
Course hours14342
Preparation for Midterm exam11212
Laboratory (including preparation)000
Final exam111
Homework000
Article3515
Total Workload142
Total Workload / 304,73
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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