ECTS - System Modeling and Simulation
System Modeling and Simulation (SE360) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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System Modeling and Simulation | SE360 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Technical Elective Courses |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | The objective of this course is to introduce fundamental principles and concepts in the general area of systems modeling and simulation |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Dynamic simulations, Providing custom-made data types, operators and control structures for simulation, model generators, simulation programming landscape, simulation problems. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction to Simulation | Chap. 1 (main text) |
2 | Simulation Examples | Chap. 2 |
3 | General Principles and Examples | Chap. 3 |
4 | Simulation Software | Chap. 4 |
5 | Statistical Models in Simulation | Chap. 5 |
6 | Statistical Models in Simulation | Chap. 5 |
7 | Queueing Models | Chap. 6 |
8 | Queueing Models Generating | Chap. 6 |
9 | Random-Number Generation | Chap. 7 |
10 | Random-Variate Generation | Chap. 8 |
11 | Input Modeling | Chap. 9 |
12 | Input Modeling | Chap. 9 |
13 | Case study | |
14 | Case study | |
15 | Final Examination Period | |
16 | Final Examination Period |
Sources
Course Book | 1. Discrete-Event System Simulation (Fourth Edition), Banks, Carson, Nelson, and Nicol, Prentice-Hall, 2005 |
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Other Sources | 2. Simulation Modeling and Analysis (Third Edition), Law and Kelton, McGraw Hill, 2000 |
3. Simulating Computer Systems: Techniques and Tools, M.H. MacDougall , MIT Press Series in Computer Systems, 1987 | |
4. Ross, Sheldon M. (2001), Simulation, Academic Press | |
5. Banks, J. Handbook of simulation: Principles, methodology, advances, applications and practice. Wiley, 1998 | |
6. J.B. Sinclair, Simulation of Computer Systems and Computer Networks: A Process-Oriented Approach, 2004 |
Evaluation System
Requirements | Number | Percentage of Grade |
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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 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | |
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Major Area Courses | X |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Adequate knowledge in mathematics, science and subjects specific to the software engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. | X | ||||
2 | The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. | X | ||||
3 | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | X | ||||
4 | The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in software engineering applications; the ability to utilize information technologies effectively. | X | ||||
5 | The ability to gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the software engineering discipline. | X | ||||
6 | The ability to work effectively in inter/inner disciplinary teams; ability to work individually. | X | ||||
7 | Effective oral and written communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||
8 | The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||
9 | Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development | X | ||||
10 | The ability to behave according to ethical principles, awareness of professional and ethical responsibility. | X | ||||
11 | Knowledge of the standards utilized in software engineering applications. | |||||
12 | Knowledge on business practices such as project management, risk management and change management. | X | ||||
13 | Awareness about entrepreneurship, and innovation. | |||||
14 | Knowledge on sustainable development. | |||||
15 | Knowledge of the effects of software engineering applications on the universal and social dimensions of health, environment, and safety. | X | ||||
16 | Awareness of the legal consequences of engineering solutions. | |||||
17 | An ability to apply algorithmic principles, mathematical foundations, and computer science theory in the modeling and design of computer-based systems with the trade-offs involved in design choices. | X | ||||
18 | The ability to apply engineering approach to the development of software systems by analyzing, designing, implementing, verifying, validating and maintaining software systems. | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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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 | 2 | 32 |
Presentation/Seminar Prepration | |||
Project | 1 | 20 | 20 |
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
Total Workload | 125 |