EE403 Industrial Process Instrumentation
EE403 Industrial Process Instrumentation
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Electrical and Electronics Engineering
TBA
Course Lecturer
Course Objectives
To enable students to read and produce industrial process documentation, and develop the skills necessary to design and configure systems and choose components for industrial process control using project oriented approach.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Lessons in Industrial Instrumentation, Tony R. Kuphaldt, Available online, Version 2.33, June 2019
Additional Literature
Teaching Methods
Class discussions with examples
Active tutorial sessions for engaged learning and continuous feedback on progress
Laboratory exercises that involve work with industrial grade process equipment
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction to the course, to process control technology | Ch6 |
| 2 | Process variables, equipment and material | Ch6 and notes |
| 3 | Review of sensors and signal conditioning | Ch13 and class |
| 4 | Process flow diagrams and P&I Diagrams | Ch7 and class notes |
| 5 | Process and Instrumentation Diagrams | Ch7 and class notes |
| 6 | Programmable Logic controllers (PLC) | Ch12 and notes |
| 7 | Programmable Logic controllers (PLC) | Ch12 and notes |
| 8 | Programmable Logic controllers (PLC) | class notes |
| 9 | Digital Data Acquisition and Networks | Ch15 and notes |
| 10 | Instrumentation documents, datasheets, communication protocols | Ch15 and notes |
| 11 | Smart transmitters and sensor communication | Ch16 and notes |
| 12 | Closed loop control | Ch29 |
| 13 | Process dynamics and PID controller | Ch30 |
| 14 | Basic control strategies | Ch31 |
| 15 | special topics, cyber security, IoT... etc | Ch33 and notes |
Course Schedule (All Sections)
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 6
Short tests (10 - 20 min)
AI: Not AllowedAlignment with Learning Outcomes : 1 2 6
Midterm exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 6
Assignments
AI: Not AllowedAlignment with Learning Outcomes : 5
Project
AI: Not AllowedAlignment with Learning Outcomes : 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
42 hours ⏳ (14 week × 3 h)
Assignments
25 hours ⏳ (5 week × 5 h)
Active tutorials
20 hours ⏳ (10 week × 2 h)
Home study
28 hours ⏳ (14 week × 2 h)
Midterm exam study
5 hours ⏳ (1 week × 5 h)
Final exam study
5 hours ⏳ (1 week × 5 h)
Project work
25 hours ⏳ (5 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 [EE403] 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 | |||||||||
| EE403 | Industrial Process Instrumentation | 3 | 2 | 6 | Tue: 15:00-15:50 Thu: 12:00-13:50 | |||||
| Prerequisite | EE305 | It is a prerequisite to | - | |||||||
| Lecturer | Office Hours / Room / Phone | Currently not available |
||||||||
| Assistant | Ms. Sejla Dzakmic | Assistant E-mail | sdzakmic@ius.edu.ba | |||||||
| Course Objectives | To enable students to read and produce industrial process documentation, and develop the skills necessary to design and configure systems and choose components for industrial process control using project oriented approach. |
|||||||||
| Textbook | Lessons in Industrial Instrumentation, Tony R. Kuphaldt, Available online, Version 2.33, June 2019 | |||||||||
| 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. Laboratory exercises that involve work with industrial grade process equipment. | |||||||||
| Teaching Method Delivery | Teaching Method Delivery Notes | |||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction to the course, to process control technology | Ch6 | ||||||||
| Week 2 | Process variables, equipment and material | Ch6 and notes | ||||||||
| Week 3 | Review of sensors and signal conditioning | Ch13 and class | ||||||||
| Week 4 | Process flow diagrams and P&I Diagrams | Ch7 and class notes | ||||||||
| Week 5 | Process and Instrumentation Diagrams | Ch7 and class notes | ||||||||
| Week 6 | Programmable Logic controllers (PLC) | Ch12 and notes | ||||||||
| Week 7 | Programmable Logic controllers (PLC) | Ch12 and notes | ||||||||
| Week 8 | Programmable Logic controllers (PLC) | class notes | ||||||||
| Week 9 | Digital Data Acquisition and Networks | Ch15 and notes | ||||||||
| Week 10 | Instrumentation documents, datasheets, communication protocols | Ch15 and notes | ||||||||
| Week 11 | Smart transmitters and sensor communication | Ch16 and notes | ||||||||
| Week 12 | Closed loop control | Ch29 | ||||||||
| Week 13 | Process dynamics and PID controller | Ch30 | ||||||||
| Week 14 | Basic control strategies | Ch31 | ||||||||
| Week 15 | special topics, cyber security, IoT... etc | Ch33 and notes | ||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | 1, 2, 3, 4, 6 | Not Allowed | |
| Semester Evaluation Components | |||||
| Short tests (10 - 20 min) | 1 | 10 | 1, 2, 6 | Not Allowed | |
| Midterm exam | 1 | 20 | 1, 2, 3, 4, 6 | Not Allowed | |
| Assignments | 1 | 10 | 5 | Not Allowed | |
| Project | 1 | 20 | 4, 5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 14 | 42 | Assignments | 5 | 5 | 25 | |||
| Active tutorials | 2 | 10 | 20 | Home study | 2 | 14 | 28 | |||
| Midterm exam study | 5 | 1 | 5 | Final exam study | 5 | 1 | 5 | |||
| Project work | 5 | 5 | 25 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||