MEDICINE
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
INE4011 System Simulation Spring 2 2 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. MUSTAFA ÖZBAYRAK
Course Lecturer(s): Prof. Dr. MUSTAFA ÖZBAYRAK
RA ESRA ADIYEKE
Prof. Dr. FAİK TUNÇ BOZBURA
Recommended Optional Program Components: None
Course Objectives: This course is designed for junior level Industrial Engineering and close disciplines' students to give the fundamental concepts of modelling and analysis of discrete systems. The course aims to provide rigorous input and output analyses of the simulation model created using the statistical and probabilistic concepts as well as modelling the discrete systems, with the examples from both manufacturing and service systems using a general purpose simulation software.

Learning Outcomes

The students who have succeeded in this course;
I. Recognize the basic principles of simulation modeling.
II. Define and use appropriate performance metrics when modeling a system.
III. Recognize the basic concepts of a discrete event simulation model including model components, flowchart, and event list.
IV. Collect and manage performance measurement data.
V. Data collection or production from a sample data set. Statistical analysis of the sample data to estimate or approximate the probabilistic distribution and its parameters.
VI. Modelling and analysis of discrete event simulation models of both manufacturing and service systems using generic simulation program called ARENA.
VII. Developing simulation models that address critical research issues and/or industrial systems.
VIII. Recognizing how a computer simulation program can be used to model complex systems and solve related decision problems under different working conditions, which are presented through several what-if scenarios and analyses.
IX. Running a simulation model under different scenarios through either short-term but with consecutive replications or one very long run to get turely random output and their statistical analyses.
X. Apply a simulation project from start to finish following the stages, data collection or generation, designing the model, building the model, creating the working scenarios, running the simulation with multiple replications and statistical analyses of the output generated.

Course Content

This course is an alternative modelling method to mathematical optimization to model the complex systems. This course aims to teach the fundamental principles of simulation modelling, its steps, data creation, design and create a simulation model with the help of a simulation software, running the model under different system scenarios, obtaining the output as well as analysing and reporting output.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Simulation modeling
2) A guided tour of modelling steps in Simulation.
3) Statistics and Probability for Simulation Modelling I
4) Statistics and Probability for Simulation Modelling II
5) Modelling a simple system using ARENA
6) System Modelling I
7) System Modelling II
8) Selecting the Input Analysis I
9) Selecting Input Probability Distribution II
10) System Modelling I
11) Random Number Generation and Animasions
12) Modelling Complex Systems
13) Output Analysis
14) Output Analysis II
15) Entity Transfer in Modelling
16) Simulation of Manufacturing Systems

Sources

Course Notes / Textbooks: W. D. Kelton, R. P. Sadowski, D. T. Sturrock, Simulation with Arena-6th Edition, McGraw-Hill, 2015.
J. Banks, J. S. Carson II, B. L. Nelson, D.M. Nicol, Discrete-Event System Simulation, 5th Edition, Prentice Hall, 2010.
References: Lecture Notes and supporting materials collected from several academic resources as well as company reports and white papers.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 2 % 10
Homework Assignments 4 % 10
Project 1 % 20
Midterms 1 % 20
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 28
Laboratory 14 28
Study Hours Out of Class 13 34
Project 3 9
Homework Assignments 2 6
Quizzes 2 18
Midterms 1 10
Final 1 12
Total Workload 145

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Integrates the knowledge, skills and attitudes acquired from basic and clinical medical sciences, behavioral sciences and social sciences, and uses them in health service delivery.
2) In patient management, shows a biopsychosocial approach that takes into account the socio-demographic and sociocultural background of the individual, regardless of language, religion, race and gender.
3) In the provision of health services, prioritizes the protection and development of the health of individuals and society.
4) Taking into account the individual, societal, social and environmental factors affecting health; does the necessary work to maintain and improve the state of health.
5) By recognizing the characteristics, needs and expectations of the target audience, provides health education to healthy/sick individuals and their relatives and other healthcare professionals.
6) Shows a safe, rational and effective approach in health service delivery, prevention, diagnosis, treatment, follow-up and rehabilitation processes.
7) Performs invasive and/or non-invasive procedures in diagnosis, treatment, follow-up and rehabilitation processes in a safe and effective way for the patient.
8) Provides health services by considering patient and employee health and safety.
9) In the provision of health services, takes into account the changes in the physical and socioeconomic environment on a regional and global scale, as well as the changes in the individual characteristics and behaviors of the people who apply to it.
10) Takes good medical practice into account while carrying out his/her profession.
11) Fulfills its duties and obligations within the framework of ethical principles, rights and legal responsibilities required by its profession.
12) Demonstrates decisive behavior in providing high-quality health care, taking into account the integrity of the patient.
13) Evaluates his/her performance in his/her professional practice by considering his/her emotions and cognitive characteristics.
14) Advocates improving the provision of health services by considering the concepts of social reliability and social responsibility for the protection and development of public health.
15) Can plan and carry out service delivery, training and consultancy processes related to individual and community health in cooperation with all components for the protection and development of health.
16) Evaluates the impact of health policies and practices on individual and community health indicators and advocates increasing the quality of health services.
17) The physician attaches importance to the protection of his/her own physical, mental and social health, and does what is necessary for this
18) Shows exemplary behavior and leads the healthcare team during service delivery.
19) Uses resources cost-effectively, for the benefit of society and in accordance with the legislation, in the planning, implementation and evaluation processes of health services in the health institution he/she is the manager of.
20) Establishes positive communication within the health team it serves and assumes different team roles when necessary.
21) Is aware of the duties and responsibilities of the health workers in the health team and acts accordingly.
22) In the professional practices, works in harmony and effectively with the colleagues and other professional groups.
23) Communicates effectively with patients, their relatives, healthcare professionals, other professional groups, institutions and organizations.
24) Communicates effectively with individuals and groups that require a special approach and have different socio-cultural characteristics.
25) In the diagnosis, treatment, follow-up and rehabilitation processes, shows a patient-centered approach that associates the patient with the decision-making mechanisms.
26) Plans and implements scientific research, when necessary, for the population it serves, and uses the results and/or the results of other research for the benefit of the society.
27) Reaches and critically evaluates current literature knowledge about his/her profession.
28) Applies the principles of evidence-based medicine in clinical decision making.
29) Uses information technologies to increase the effectiveness of its work on health care, research and education.
30) Effectively manages individual work processes and career development.
31) Demonstrates skills in acquiring and evaluating new knowledge, integrating it with existing knowledge, applying it to professional situations and adapting to changing conditions throughout professional life.
32) Selects the right learning resources to improve the quality of the health service it offers, organizes its own learning process