ECTSModeling, Analysis and Simulation

Modeling, Analysis and Simulation (ENE303) Ders Detayları

Course Name Corse Code Dönemi Lecture Hours Uygulama Saati Lab Hours Credit ECTS
Modeling, Analysis and Simulation ENE303 Elective Courses 3 0 0 3 5
Pre-requisite Course(s)
PHYS 101, PHYS 102
Course Language İngilizce
Course Type Compulsory Departmental Courses
Course Level Lisans
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Question and Answer, Drill and Practice, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Hüseyin OYMAK
Course Assistants
Course Objectives The objective of this course is to introduce fundamental principles and concepts in the modeling and simulation and to apply in energy systems engineering area.
Course Learning Outcomes The students who succeeded in this course;
  • Recognize the principles of modeling and simulation
  • Design and develop simulation models for energy systems
Course Content System as an interconnection of components, component models, interconnection of components, system models: block diagrams, state equations, transfer functions, analysis of static and dynamic systems, modeling mechanical, electrical, thermal and fluid systems, simulation using SIMULINK.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Modeling and Simulation Chapter 1
2 Systems Science and Systems Engineering Chapter 2
3 A Framework for Modeling and Simulation Chapter 3
4 Defining the Need for Models and Simulation Chapter 4
5 Creating a Modeling and Simulation Baseline Chapter 5
6 Developing Models and Simulation Chapter 6
7 Designing Models Chapter 7
8 Producing and Managing Data Chapter 8
9 Midterm Exam
10 Applications of Modeling and Simulation in Energy Systems Engineering, General Chapter 9
11 Application in Thermodynamics Chapter 10
12 Applications in Thermal Fluids Chapter 11
13 Applications in Renewable Systems Chapter 12
14 Applications in Conventional Systems Chapter 13
15 Verification, Validation and Accreditation Chapter 14
16 Final Exam

Sources

Other Sources 1. Energy Systems: Optimization, Modeling, Simulation, and Economic Aspects, Journal, Springer, ISSN: 1868-3967
2. Averill M Law, Simulation Modeling and Analysis, 4th Edition, McGraw-Hill, 2007, ISBN-13 978007125519-6
3. Modeling and Analysis of Dynamic Systems, Ramin Esfandiari, CRC Press, 2010 ISBN:9781439808450
4. David J. Cloud, Applied Modeling and Simulation, McGraw-Hill, 1998, ISBN-13 9780072283037
5. Thoma, J. Ould Bouamama, B., Modeling and Simulation in Thermal and Chemical Engineering, 2000, Springer, ISBN: 978-3-540-66388-1

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 8 5
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 20
Final Exam/Final Jury 1 50
Toplam 13 100
Percentage of Semester Work 50
Percentage of Final Work 50
Total 100

Course Category

Core Courses X
Major Area Courses
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
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyze and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary teams. X
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively. X
8 The broad education necessary to understand the impact of engineering solutions in a global and societal context. X
9 Recognition of the need for, and an ability to engage in life-long learning. X
10 Knowledge of contemporary issues. X
11 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
12 Skills in project management and recognition of international standards and methodologies

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 14 2 28
Presentation/Seminar Prepration
Project 1 15 15
Report
Homework Assignments 8 2 16
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 147