ENS206 System Modelling
ENS206 System Modelling and Control
Syllabus | International University of Sarajevo - Last Update on Feb 02, 2026
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Faculty of Engineering and Natural Sciences
Mohammad Al Samman
Course Lecturer
Course Objectives
The aims of this course are to familiarize students with the concept of modelling, analysis, and control of electrical, mechanical, and electromechanical systems with realistic steady-state and transient specifications; system description using transfer functions and main components of a closed loop control system including PID regulator, and how to determine the system stability using mathematical and graphical tools
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Modeling and Analysis of Dynamic Systems, 3rd Ed. Esfandiari, S. Ramin, Bei Lu. CRC press, 2018
Additional Literature
R2: Dynamic Systems, Ogata, 4th ed. Pearson, 2004. R3: Control Systems Engineering, Norman S. Nise, 6th edition, Wiley, 2011Teaching Methods
Class discussions with examples
Active tutorial sessions for engaged learning and continuous feedback on progress
Homework assignments and Projects
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction, Class Mechanics, Introduction to Modeling, MATLAB-SIMULINK-SCILAB | Chapter 1 |
| 2 | Complex numbers, Diff Equations, Laplace Transform | Chapter 2 |
| 3 | Matrix Analysis | Chapter 3 |
| 4 | System model representation | Chapter 4 |
| 5 | System model representation | Chapter 4 |
| 6 | Mechanical Systems | Chapter 5 |
| 7 | Mechanical Systems | Chapter 5 |
| 8 | MIDTERM EXAM | |
| 9 | Electrical Systems | Chapter 6 |
| 10 | System Response | Chapter 8 |
| 11 | System Response | Chapter 8 |
| 12 | Introduction to feedback | Chapter 10 |
| 13 | Introduction to feedback | Chapter 10 |
| 14 | Review | Class notes |
| 15 | Project Presentation | Class notes |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| ENS206.1 | Course | Tuesday 12:00 - 14:50 | B F2.1 | - | - |
| ENS206.1 | Tutorial | Thursday 09:00 - 10:50 | B F2.6 | - | - |
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Tuesday | 15:00 - 16:00 | A F2.7 | |
| Wednesday | 13:00 - 15:00 | A F2.7 | |
| Thursday | 11:00 - 13:00 | A F2.7 |
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Quizzes
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Midterm Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Laboratory
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Project
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture Hours
45 hours ⏳ (15 week × 3 h)
Final Exam Study
15 hours ⏳ (1 week × 15 h)
Active Tutorials
26 hours ⏳ (13 week × 2 h)
Home Study, HWs
45 hours ⏳ (15 week × 3 h)
Midterm Exam Study
6 hours ⏳ (1 week × 6 h)
Project
13 hours ⏳ (13 week × 1 h)
150 Total Workload Hours
6 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [ENS206] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on Feb 02, 2026 | International University of Sarajevo
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Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| ENS206 | System Modelling and Control | 3 | 2 | 6 | ||||||
| Prerequisite | MATH202 | It is a prerequisite to | EE311, EE412 | |||||||
| Lecturer | Mohammad Al Samman | Office Hours / Room / Phone | Tuesday: 15:00-16:00 Wednesday: 13:00-15:00 Thursday: 11:00-13:00 |
|||||||
| malsamman@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The aims of this course are to familiarize students with the concept of modelling, analysis, and control of electrical, mechanical, and electromechanical systems with realistic steady-state and transient specifications; system description using transfer functions and main components of a closed loop control system including PID regulator, and how to determine the system stability using mathematical and graphical tools | |||||||||
| Textbook | Modeling and Analysis of Dynamic Systems, 3rd Ed. Esfandiari, S. Ramin, Bei Lu. CRC press, 2018 | |||||||||
| Additional Literature |
|
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| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
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| Teaching Methods | Class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress. Homework assignments and Projects. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction, Class Mechanics, Introduction to Modeling, MATLAB-SIMULINK-SCILAB | Chapter 1 | ||||||||
| Week 2 | Complex numbers, Diff Equations, Laplace Transform | Chapter 2 | ||||||||
| Week 3 | Matrix Analysis | Chapter 3 | ||||||||
| Week 4 | System model representation | Chapter 4 | ||||||||
| Week 5 | System model representation | Chapter 4 | ||||||||
| Week 6 | Mechanical Systems | Chapter 5 | ||||||||
| Week 7 | Mechanical Systems | Chapter 5 | ||||||||
| Week 8 | MIDTERM EXAM | |||||||||
| Week 9 | Electrical Systems | Chapter 6 | ||||||||
| Week 10 | System Response | Chapter 8 | ||||||||
| Week 11 | System Response | Chapter 8 | ||||||||
| Week 12 | Introduction to feedback | Chapter 10 | ||||||||
| Week 13 | Introduction to feedback | Chapter 10 | ||||||||
| Week 14 | Review | Class notes | ||||||||
| Week 15 | Project Presentation | Class notes | ||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 30 | 1,2,3,4,5 | Not Allowed | |
| Semester Evaluation Components | |||||
| Quizzes | 3 | 20 | 1,2,3,4,5 | Not Allowed | |
| Midterm Exam | 1 | 20 | 1,2,3,4,5 | Not Allowed | |
| Laboratory | 13 | 15 | 1,2,3,4,5 | Not Allowed | |
| Project | 1 | 15 | 1,2,3,4,5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | Final Exam Study | 15 | 1 | 15 | |||
| Active Tutorials | 2 | 13 | 26 | Home Study, HWs | 3 | 15 | 45 | |||
| Midterm Exam Study | 6 | 1 | 6 | Project | 1 | 13 | 13 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 25/02/2026 | |||||||||