A: Traditional Written Exam, E: Homework, F: Project Task
Course Outline
Order
Subjects
Preliminary Work
1
Introduction to Simulation
Lecture Notes
2
Input Analysis
Lecture Notes
3
Random-Number and Random-Variate Generation
Lecture Notes
4
Monte Carlo Simulation Examples
Lecture Notes
5
Dynamic Simulation Examples
Lecture Notes
6
Discrete-Event Simulation in Arena - Basic Operations Validation
Lecture Notes
7
Discrete-Event Simulation in Arena - Detailed Operations
Lecture Notes
8
Output Analysis - Terminating Simulations
Lecture Notes
9
Discrete-Event Simulation in Arena - Intermediate Modeling
Lecture Notes
10
Output Analysis - Steady State Simulations
Lecture Notes
11
Discrete-Event Simulation in Arena - Entity Transfer
Lecture Notes
12
Sample Applications I
Lecture Notes
13
Sample Applications II
Lecture Notes
14
Arena Process Analyzer
Lecture Notes
Resources
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Develop and deepen knowledge in the same or in a different field to the proficiency level based on Bachelor level qualifications.
X
2
Conceive the interdisciplinary interaction which the field is related with.
X
3
Use of theoretical and practical knowledge within the field at a proficiency level and solve the problem faced related to the field by using research methods.
X
4
Interpret the knowledge about the field by integrating the information gathered from different disciplines and formulate new knowledge.
X
5
Independently conduct studies that require proficiency in the field.
X
6
Take responsibility and develop new strategic solutions as a team member in order to solve unexpected complex problems faced within the applications in the field.
X
7
Evaluate knowledge and skills acquired at proficiency level in the field with a critical approach and direct the learning.
X
8
Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary. Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level.
X
9
Define the social and environmental aspects of engineering applications.
10
Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethic values and teach these values.
X
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
50
Rate of Final Exam to Success
50
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
14
2
28
Resolution of Homework Problems and Submission as a Report
4
20
80
Term Project
0
0
0
Presentation of Project / Seminar
0
0
0
Quiz
0
0
0
Midterm Exam
1
40
40
General Exam
1
50
50
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
240
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(240/30)
8
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
HEALTHCARE SYSTEMS SIMULATION
SSMY1263740
Spring Semester
3+0
3
8
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
Turkish
Course Level
Second Cycle (Master's Degree)
Course Type
Elective
Course Coordinator
Assoc.Prof. Yasin GÖÇGÜN
Name of Lecturer(s)
Assoc.Prof. Yasin GÖÇGÜN
Assistant(s)
Aim
Course 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.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
Makes a simulation by hand.
12, 9
A, E
Applies Monte Carlo simulation.
21, 9
A, E
Makes random number samples with the Linear Congruential method.
A: Traditional Written Exam, E: Homework, F: Project Task
Course Outline
Order
Subjects
Preliminary Work
1
Introduction to Simulation
Lecture Notes
2
Input Analysis
Lecture Notes
3
Random-Number and Random-Variate Generation
Lecture Notes
4
Monte Carlo Simulation Examples
Lecture Notes
5
Dynamic Simulation Examples
Lecture Notes
6
Discrete-Event Simulation in Arena - Basic Operations Validation
Lecture Notes
7
Discrete-Event Simulation in Arena - Detailed Operations
Lecture Notes
8
Output Analysis - Terminating Simulations
Lecture Notes
9
Discrete-Event Simulation in Arena - Intermediate Modeling
Lecture Notes
10
Output Analysis - Steady State Simulations
Lecture Notes
11
Discrete-Event Simulation in Arena - Entity Transfer
Lecture Notes
12
Sample Applications I
Lecture Notes
13
Sample Applications II
Lecture Notes
14
Arena Process Analyzer
Lecture Notes
Resources
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Develop and deepen knowledge in the same or in a different field to the proficiency level based on Bachelor level qualifications.
X
2
Conceive the interdisciplinary interaction which the field is related with.
X
3
Use of theoretical and practical knowledge within the field at a proficiency level and solve the problem faced related to the field by using research methods.
X
4
Interpret the knowledge about the field by integrating the information gathered from different disciplines and formulate new knowledge.
X
5
Independently conduct studies that require proficiency in the field.
X
6
Take responsibility and develop new strategic solutions as a team member in order to solve unexpected complex problems faced within the applications in the field.
X
7
Evaluate knowledge and skills acquired at proficiency level in the field with a critical approach and direct the learning.
X
8
Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary. Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level.
X
9
Define the social and environmental aspects of engineering applications.
10
Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethic values and teach these values.
