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 Area Elective 3 1 0 3 5
Pre-requisite Course(s)
PHYS101 ve PHYS102
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Question and Answer, Drill and Practice, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Hüseyin OYMAK
Course Assistants
Course Objectives The main objective of this course is to provide an introductory treatment of dynamic systems suitable for all engineering students regardless of discipline. Particularly, this course aims to present a detailed treatment of modeling mechanical and electrical systems, by demonstrating the ways of obtaining analytical and computer solutions at an introductory level.
Course Learning Outcomes The students who succeeded in this course;
  • identify the variables, recognize the elements, and recall the interconnection laws in modeling a translational, rotational, or an electrical system
  • construct modeling equations, the input-output equation, or the state-variable model for a translational, rotational, or an electrical system
  • construct the matrix formulation of the state-variable equations of a system
  • draw a block diagram from the differential equations of a system
  • implement a block diagram to the SIMULINK part of MATLAB
  • apply Laplace transform method for analytical solutions of linear models
  • recognize a first order system, and construct and analyze its solution
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 Chapter 1
2 Translational Mechanical Systems – Part I Chapter 2
3 Translational Mechanical Systems – Part II Chapter 2
4 Standard Forms for System Models – Part I Chapter 3
5 Standard Forms for System Models – Part II Chapter 3
6 First Midterm Examination
7 Block Diagrams and Computer Simulation – Part I Chapter 4
8 Block Diagrams and Computer Simulation – Part II Chapter 4
9 Rotational Mechanical Systems – Part I Chapter 5
10 Rotational Mechanical Systems – Part II Chapter 5
11 Second Midterm Examination
12 Electrical Systems – Part I Chapter 6
13 Electrical Systems – Part II Chapter 6
14 Transform Solutions of Linear Models – Part I, Part II Chapter 7
15 Transform Solutions of Linear Models – Part III Chapter 7
16 Final Exam

Sources

Course Book 1. Modeling and Analysis of Dynamic Systems, 3rd Edition, by C.M. Close, D.K. Frederick, J.C. Newell, Wiley.
Other Sources 2. MATLAB 2023a veya 2023b, Atılım Üniversitesi lisansıyla.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 45
Final Exam/Final Jury 1 30
Toplam 9 100
Percentage of Semester Work 70
Percentage of Final Work 30
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 Acquiring core knowledge of theoretical and mathematical physics together with their research methodologies.
2 Gaining a solid understanding of the physical universe together with the laws governing it.
3 Developing a working research skill and strategies of problem solving skills in theoretical, experimental, and/or simulation physics. X
4 Developing and maintaining a positive attitude toward critical questioning, creative thinking, and formulating new ideas both conceptually and mathematically.
5 Ability to sense, identify, and handle the problems in theoretical, experimental, or applied physics, or in real-life industrial problems. X
6 Ability to apply the accumulated knowledge in constructing mathematical models, determining a strategy for its solution, making necessary and appropriate approximations, evaluating and assessing the correctness and reliability of the procured solution. X
7 Ability to communicate and discuss physical concepts, processes, and the newly obtained results with the colleagues all around the world both verbally and in written form as proceedings and research papers.
8 Reaching and excelling an advanced level of knowledge and skills in one or more of the disciplines offered. X
9 An ability to produce, report and present an original or known scientific body of knowledge.
10 An ability to make methodological scientific research.
11 An ability to use existing physics knowledge to analyze, to determine a methodology of solution (theoretical/mathematical/experimental) and to solve a problem. 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 14 2 28
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 2 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 126