HEALTHCARE SYSTEMS SIMULATION

CONTENT

This course contains; Introduction to Simulation,Input Analysis,Random-Number and Random-Variate Generation,Monte Carlo Simulation Examples,Dynamic Simulation Examples,Discrete-Event Simulation in Arena - Basic Operations Validation,Discrete-Event Simulation in Arena - Detailed Operations,Output Analysis - Terminating Simulations,Discrete-Event Simulation in Arena - Intermediate Modeling,Output Analysis - Steady State Simulations,Discrete-Event Simulation in Arena - Entity Transfer,Sample Applications I ,Sample Applications II,Arena Process Analyzer.

1. 1

   Makes a simulation by hand.

   Taught by: Problem Solving Method, Lecture Method · Assessed by: Traditional Written Exam, Homework

2. 2

   Applies Monte Carlo simulation.

   Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework

3. 3

   Makes random number samples with the Linear Congruential method.

   Taught by: Problem Solving Method, Lecture Method · Assessed by: Traditional Written Exam, Homework

4. 4

   Performs Discrete Event Simulation in the Arena.

   Taught by: Simulation Technique, Flipped Classroom Learning · Assessed by: Traditional Written Exam, Project Task

5. 5

   Analyzes the results from the Arena

   Taught by: Flipped Classroom Learning, Lecture Method · Assessed by: Traditional Written Exam, Project Task

WEEKLY PLAN

1. WEEK 1

   Introduction to Simulation

   Preparation: Lecture Notes

2. WEEK 2

   Input Analysis

   Preparation: Lecture Notes

3. WEEK 3

   Random-Number and Random-Variate Generation

   Preparation: Lecture Notes

4. WEEK 4

   Monte Carlo Simulation Examples

   Preparation: Lecture Notes

5. WEEK 5

   Dynamic Simulation Examples

   Preparation: Lecture Notes

6. WEEK 6

   Discrete-Event Simulation in Arena - Basic Operations Validation

   Preparation: Lecture Notes

7. WEEK 7

   Discrete-Event Simulation in Arena - Detailed Operations

   Preparation: Lecture Notes

8. WEEK 8

   Output Analysis - Terminating Simulations

   Preparation: Lecture Notes

9. WEEK 9

   Discrete-Event Simulation in Arena - Intermediate Modeling

   Preparation: Lecture Notes

10. WEEK 10

    Output Analysis - Steady State Simulations

    Preparation: Lecture Notes

11. WEEK 11

    Discrete-Event Simulation in Arena - Entity Transfer

    Preparation: Lecture Notes

12. WEEK 12

    Sample Applications I

    Preparation: Lecture Notes

13. WEEK 13

    Sample Applications II

    Preparation: Lecture Notes

14. WEEK 14

    Arena Process Analyzer

    Preparation: Lecture Notes

ASSESSMENT

• Rate of Midterm Exam to Success50%
• Rate of Final Exam to Success50%

WORKLOAD

TEACHING STAFF

• Assoc.Prof. Yasin GÖÇGÜNCOORDINATOR
• Assoc.Prof. Yasin GÖÇGÜN