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 5. Semester 3 1 0 3 5
Pre-requisite Course(s)
PHYS101 ve PHYS102
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
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 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
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