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 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 Gain sufficient knowledge in mathematics, science and computing; be able to use theoretical and applied knowledge in these areas to solve engineering problems related to information systems.
2 To be able to identify, define, formulate and solve complex engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose.
3 Designs a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose.
4 To be able to develop, select and use modern techniques and tools required for the analysis and solution of complex problems encountered in information systems engineering applications; to be able to use information technologies effectively.
5 Designs and conducts experiments, collects data, analyzes and interprets results to investigate complex engineering problems or research topics specific to the discipline of information systems engineering.
6 Can work effectively in disciplinary and multidisciplinary teams; can work individually.
7 a. Communicates effectively both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions. b. Knows at least one foreign language.
8 To be aware of the necessity of lifelong learning; to be able to access information, to be able to follow developments in science and technology and to be able to renew himself/herself continuously.
9 a. Acts in accordance with the principles of ethics, gains awareness of professional and ethical responsibility. b. Gains knowledge about the standards used in information systems engineering applications.
10 a. Gains knowledge about business life practices such as project management, risk management and change management. b. Gains awareness about entrepreneurship and innovation. c. Gains knowledge about sustainable development.
11 a. To be able to acquire knowledge about the universal and social effects of information systems engineering applications on health, environment and safety and the problems of the era reflected in the field of engineering. b. Gains awareness of the legal consequences of engineering solutions.

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