System Simulation (IE504) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
System Simulation IE504 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Prof. Dr. Serkan ERYILMAZ
Course Assistants
Course Objectives The course aims to expose students to concepts and techniques of simulation which is necessary for modeling and analyzing dynamical systems/processes.
Course Learning Outcomes The students who succeeded in this course;
  • Students will be able to design and conduct simulation experiments with the aim of developing solutions to manufacturing and service system problems.
  • Students will be able to use at least one software as a simulaton tool.
  • Students will be able to interpret simulation outputs.
Course Content Dynamic system models and simulation, statistical models in simulation, Monte-Carlo simulation of real dynamic systems.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to simulation
2 Preliminary examples and illustrations in simulation
3 Statistical models in simulation
4 Statistical models in simulation
5 Random data and statistics
6 Random process simulation
7 Monte-Carlo simulation of real dynamic systems
8 Monte-Carlo simulation of real dynamic systems
9 Monte-Carlo simulation of real dynamic systems
10 Monte-Carlo simulation of real dynamic systems
11 Midterm
12 Monte-Carlo simulation of real dynamic systems
13 Monte-Carlo simulation of real dynamic systems
14 Monte-Carlo simulation of real dynamic systems
15 Final Examination Period
16 Final Examination Period

Sources

Course Book 1. Advanced Dynamic System Simulation, Model replication and Monte-Carlo studies, G. A. Korn, Wiley

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to apply the acquired knowledge in mathematics, science and engineering X
2 Ability to identify, formulate and solve complex engineering problems X
3 Ability to accomplish the integration of systems X
4 Ability to design, develop, implement and improve complex systems, components, or processes X
5 Ability to select/develop and use suitable modern engineering techniques and tools X
6 Ability to design/conduct experiments and collect/analyze/interpret data X
7 Ability to function independently and in teams X
8 Ability to make use of oral and written communication skills effectively X
9 Ability to recognize the need for and engage in life-long learning X
10 Ability to understand and exercise professional and ethical responsibility X
11 Ability to understand the impact of engineering solutions X
12 Ability to have knowledge of contemporary issues X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration
Project 1 4 4
Report
Homework Assignments 4 4 16
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 16 16
Prepration of Final Exams/Final Jury 1 25 25
Total Workload 125