EE436 Programmable Logic Controllers
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Electrical and Electronics Engineering
TBA
Course Lecturer
Course Objectives
The objectives of this course are to teach the student to use a PLC to solve engineering problems and provide hands-on experience on work with a small brick PLC.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Frank D. Petruzella, Programmable logic controllers, 4th edition McGraw Hill
Additional Literature
Teaching Methods
Class discussions with examples, active tutorial sessions for engaged learning and continuous feedback on progress
Team projects that involve engineering problems, interpretation and reporting
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | PLC evolution, history, relay control, basic parts of PLC, ladder logic language, | Ch. 1 |
| 2 | PLC hardware, connection paths, CPU, memory, digital and analog interfaces (IO), | Ch. 2 |
| 3 | Addressing of IO, program cycle, scan time, HW1 | Ch. 5 |
| 4 | Relay schematics to ladder logic, field devices, IO modules, HW2 | Ch. 6 |
| 5 | PLC timer functions, typical industrial timing tasks, HW3 | Ch. 7 |
| 6 | PLC counters in ladder logic, typical industrial tasks, HW4 | Ch. 8 |
| 7 | Jumps and subroutines, typical industrial tasks, HW5 | Ch. 9 |
| 8 | Basic PLC math and logic functions, MIDTERM EXAM | Ch. 11 |
| 9 | Transferring data, operations with math functions, data manipulation, HW6 | Ch. 10 |
| 10 | Examples of processes with math/data operations on a fast and continuous basis, | --- |
| 11 | PLC sequencer and shift register functions in control problems, HW7 | Ch.12 |
| 12 | Project work, | --- |
| 13 | Project work, | --- |
| 14 | Project work, | --- |
| 15 | Repetition / project presentations. | --- |
Course Schedule (All Sections)
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes :
Homeworks
AI: Not AllowedAlignment with Learning Outcomes :
Midterm Exam
AI: Not AllowedAlignment with Learning Outcomes :
Project Work
AI: Not AllowedAlignment with Learning Outcomes :
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
27 hours ⏳ (9 week × 3 h)
Assignments
14 hours ⏳ (2 week × 7 h)
Active Tutorials
24 hours ⏳ (12 week × 2 h)
Home Study
42 hours ⏳ (14 week × 3 h)
In-term Exam Study
8 hours ⏳ (1 week × 8 h)
Final Exam Study
15 hours ⏳ (1 week × 15 h)
Laboratory Work
20 hours ⏳ (4 week × 5 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 [EE436] 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 Mar 03, 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 | |||||||||
| EE436 | Programmable Logic Controllers | 3 | 2 | 6 | Monday 09.00 - 10.50, Wednesday 09.00 - 09.50 | |||||
| Prerequisite | CS303 | It is a prerequisite to | - | |||||||
| Lecturer | Office Hours / Room / Phone | Currently not available |
||||||||
| Assistant | Sejla Dzakmic | Assistant E-mail | sdzakmic@ius.edu.ba | |||||||
| Course Objectives | The objectives of this course are to teach the student to use a PLC to solve engineering problems and provide hands-on experience on work with a small brick PLC. |
|||||||||
| Textbook | Frank D. Petruzella, Programmable logic controllers, 4th edition McGraw Hill | |||||||||
| Additional Literature | ||||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Class discussions with examples, active tutorial sessions for engaged learning and continuous feedback on progress. Team projects that involve engineering problems, interpretation and reporting. | |||||||||
| Teaching Method Delivery | Teaching Method Delivery Notes | |||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | PLC evolution, history, relay control, basic parts of PLC, ladder logic language, | Ch. 1 | ||||||||
| Week 2 | PLC hardware, connection paths, CPU, memory, digital and analog interfaces (IO), | Ch. 2 | ||||||||
| Week 3 | Addressing of IO, program cycle, scan time, HW1 | Ch. 5 | ||||||||
| Week 4 | Relay schematics to ladder logic, field devices, IO modules, HW2 | Ch. 6 | ||||||||
| Week 5 | PLC timer functions, typical industrial timing tasks, HW3 | Ch. 7 | ||||||||
| Week 6 | PLC counters in ladder logic, typical industrial tasks, HW4 | Ch. 8 | ||||||||
| Week 7 | Jumps and subroutines, typical industrial tasks, HW5 | Ch. 9 | ||||||||
| Week 8 | Basic PLC math and logic functions, MIDTERM EXAM | Ch. 11 | ||||||||
| Week 9 | Transferring data, operations with math functions, data manipulation, HW6 | Ch. 10 | ||||||||
| Week 10 | Examples of processes with math/data operations on a fast and continuous basis, | --- | ||||||||
| Week 11 | PLC sequencer and shift register functions in control problems, HW7 | Ch.12 | ||||||||
| Week 12 | Project work, | --- | ||||||||
| Week 13 | Project work, | --- | ||||||||
| Week 14 | Project work, | --- | ||||||||
| Week 15 | Repetition / project presentations. | --- | ||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | Not Allowed | ||
| Semester Evaluation Components | |||||
| Homeworks | 7 | 14 | Not Allowed | ||
| Midterm Exam | 1 | 25 | Not Allowed | ||
| Project Work | 1 | 21 | Not Allowed | ||
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 9 | 27 | Assignments | 7 | 2 | 14 | |||
| Active Tutorials | 2 | 12 | 24 | Home Study | 3 | 14 | 42 | |||
| In-term Exam Study | 8 | 1 | 8 | Final Exam Study | 15 | 1 | 15 | |||
| Laboratory Work | 5 | 4 | 20 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||