Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|
HEALTHCARE SYSTEMS SIMULATION | SSMY1263740 | Spring Semester | 3+0 | 3 | 8 |
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. | 12, 9 | A, E |
Performs Discrete Event Simulation in the Arena. | 21, 8 | A, F |
Analyzes the results from the Arena | 8, 9 | A, F |
Teaching Methods: | 12: Problem Solving Method, 21: Simulation Technique, 8: Flipped Classroom Learning, 9: Lecture Method |
Assessment Methods: | 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 |
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 |
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. | 12, 9 | A, E |
Performs Discrete Event Simulation in the Arena. | 21, 8 | A, F |
Analyzes the results from the Arena | 8, 9 | A, F |
Teaching Methods: | 12: Problem Solving Method, 21: Simulation Technique, 8: Flipped Classroom Learning, 9: Lecture Method |
Assessment Methods: | 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 |
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 |
Numerical Data
Ekleme Tarihi: 26/03/2024 - 16:00Son Güncelleme Tarihi: 26/03/2024 - 16:00
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