EE321 Electrical Machines
EE321 Electrical Machines
Syllabus | International University of Sarajevo - Last Update on Feb 02, 2026
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Electrical and Electronics Engineering
Tarik Namas
Course Lecturer
Course Objectives
The course aims to introduce : - The physical and mathematical principles that govern electromechanical motion. - The analysis of broad range of electrical machines. - Using software to study different electrical machines - The concept of power electronics and machine drives - Polyphase circuits and electrical transformers
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Ned Mohan - First courses on power electronics and drives, ISBN 0-9715292-2-1 1_Ned Mohan_Electric Drives_ Integrated Approach, ISBN 0-9715292-1-3
Additional Literature
Electrical Machines with MATLAB, Turan GONEN, CRC press, second edition, 2012Teaching Methods
Class discussions with examples
Active tutorial sessions for engaged learning and continuous feedback on progress
Team assignments
Team projects in form of lab experiments that involve real data, summary, interpretation and reporting in the lab
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction | |
| 2 | EMT | |
| 3 | EMT | |
| 4 | Transformers | |
| 5 | Transformers | |
| 6 | Transformers | |
| 7 | DC Machine | |
| 8 | Mid - Term | |
| 9 | DC Machine | |
| 10 | Synchronous machines (SM) | |
| 11 | Synchronous machines (SM) | |
| 12 | Synchronous machines (SM) | |
| 13 | Asynchronous machines (ASM) | |
| 14 | Asynchronous machines (ASM) | |
| 15 | Asynchronous machines (ASM) |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| EE321.1 | Course | Thursday 14:00 - 16:50 | B F1.16 | - | - |
| EE321.1 | Tutorial | Friday 16:00 - 17:50 | B F2.14 | - | - |
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Tuesday | 14:00 - 16:00 | B F3.15 | |
| Wednesday | 14:00 - 16:00 | B F3.15 | |
| Thursday | 15:00 - 16:00 | B F3.15 |
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Midterm Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3
Quiz
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Assignment
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)
Simulation HWs
30 hours ⏳ (6 week × 5 h)
Active Tutorials
5 hours ⏳ (5 week × 1 h)
Home Study
36 hours ⏳ (12 week × 3 h)
Mid-term Exam Study
11 hours ⏳ (1 week × 11 h)
Final Exam
26 hours ⏳ (2 week × 13 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 [EE321] 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
Print Syllabus
Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| EE321 | Electrical Machines | 3 | 2 | 6 | ||||||
| Prerequisite | EE202 | It is a prerequisite to | EE430, EE454 | |||||||
| Lecturer | Tarik Namas | Office Hours / Room / Phone | Tuesday: 14:00-16:00 Wednesday: 14:00-16:00 Thursday: 15:00-16:00 |
|||||||
| tnamas@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The course aims to introduce : - The physical and mathematical principles that govern electromechanical motion. - The analysis of broad range of electrical machines. - Using software to study different electrical machines - The concept of power electronics and machine drives - Polyphase circuits and electrical transformers |
|||||||||
| Textbook | Ned Mohan - First courses on power electronics and drives, ISBN 0-9715292-2-1 1_Ned Mohan_Electric Drives_ Integrated Approach, ISBN 0-9715292-1-3 | |||||||||
| 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 assignments. Team projects in form of lab experiments that involve real data, summary, interpretation and reporting in the lab. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction | |||||||||
| Week 2 | EMT | |||||||||
| Week 3 | EMT | |||||||||
| Week 4 | Transformers | |||||||||
| Week 5 | Transformers | |||||||||
| Week 6 | Transformers | |||||||||
| Week 7 | DC Machine | |||||||||
| Week 8 | Mid - Term | |||||||||
| Week 9 | DC Machine | |||||||||
| Week 10 | Synchronous machines (SM) | |||||||||
| Week 11 | Synchronous machines (SM) | |||||||||
| Week 12 | Synchronous machines (SM) | |||||||||
| Week 13 | Asynchronous machines (ASM) | |||||||||
| Week 14 | Asynchronous machines (ASM) | |||||||||
| Week 15 | Asynchronous machines (ASM) | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 50 | 1,2,3,4 | Not Allowed | |
| Semester Evaluation Components | |||||
| Midterm Exam | 1 | 30 | 1,2,3 | Not Allowed | |
| Quiz | 2 | 10 | 1,2,3,4 | Not Allowed | |
| Assignment | 2 | 10 | 4,5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 14 | 42 | Simulation HWs | 5 | 6 | 30 | |||
| Active Tutorials | 1 | 5 | 5 | Home Study | 3 | 12 | 36 | |||
| Mid-term Exam Study | 11 | 1 | 11 | Final Exam | 13 | 2 | 26 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 17/02/2026 | |||||||||