ECTS - Modeling, Analysis and Simulation

Modeling, Analysis and Simulation (ENE303) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Modeling, Analysis and Simulation ENE303 3 1 0 3 5
Pre-requisite Course(s)
PHYS 101, PHYS 102
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, 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 Translational mechanical systems, state-variable equations, inputoutput equations, matrix formulation, block diagrams and computer simulation, rotational mechanical systems, electrical systems, Laplace transform solutions of linear models.

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 Ability to expand and get in-depth information with scientific researches in the field of mechanical engineering, evaluate information, review and implement.
2 Have comprehensive knowledge about current techniques and methods and their limitations in Mechanical engineering.
3 To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines.
4 Being aware of the new and developing practices of Mechanical Engineering and being able to examine and learn when needed.
5 Ability to define and formulate problems related to Mechanical Engineering and develop methods for solving and apply innovative methods in solutions.
6 Ability to develop new and/or original ideas and methods; design complex systems or processes and develop innovative/alternative solutions in the designs.
7 Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process.
8 Work effectively in disciplinary and multi-disciplinary teams, lead leadership in such teams and develop solution approaches in complex situations; work independently and take responsibility.
9 To establish oral and written communication by using a foreign language at least at the level of European Language Portfolio B2 General Level.
10 Ability to convey the process and results of their studies systematically and clearly in written and oral form in national and international environments.
11 To know the social, environmental, health, security, law dimensions, project management and business life applications of engineering applications and to be aware of the constraints of their engineering applications.
12 Ability to observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.

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