ENS490 Graduation Project


ENS490 Graduation Project

Syllabus   |  International University of Sarajevo  -  Last Update on Feb 02, 2026

Referencing Curricula

HOSTED BY

Faculty of Engineering and Natural Sciences

Academic Year
2025 - 2026
Semester
Spring
Course Code
ENS490
Weekly Hours
0 Teaching + 4 Practice
ECTS
6
Prerequisites
Teaching Mode Delivery
Hybrid / blended
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Özge Büyükdağlı

Course Lecturer

Position
Associate Professor Dr.
Phone
033 957 224
Assistant(s)
-
Assistant E-mail

Course Objectives

The Graduation Project is a capstone course in the final year of the first study cycle program, designed to integrate and apply the knowledge and skills acquired throughout the studies. Students work individually or in groups under the supervision of a course coordinator and a project supervisor. Project topics are selected from a faculty-issued list or proposed by students in coordination with the supervisor and may be based on ongoing research, development projects, or industry collaboration. The course is structured in defined stages, each evaluated according to criteria specified in the course syllabus and FENS Graduation Project Handbook.

Learning Outcomes

After successful completion of the course, the student will be able to:

1
Develop the capability to work independently with a problem-solving orientation.
2
Analyze, design and implement a solution to a real-world problem.
3
Demonstrate adequate knowledge to proceed with the studies at the graduate level.
4
Apply relevant ethical concepts during the course of the project.
5
Professional-quality written reports and presentations covering all aspects and phases of an engineering project.

Course Materials

Required Textbook

The FENS Graduation Project Handbook

Additional Literature
Additional resources provided by the project supervisor(s)

Teaching Methods

Regular consultations with project supervisor(s)
Teamwork and collaborative problem-solving
Presentation and defense of project outcomes

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
Topic selection, team formation, proposal submission, initial supervisor meeting
Problem definition, objectives, background study, methodology selection, project planning
Problem definition, objectives, background study, methodology selection, project planning
Requirement analysis, data collection/preparation, model or system analysis
Requirement analysis, data collection/preparation, model or system analysis
Requirement analysis, data collection/preparation, model or system analysis
Requirement analysis, data collection/preparation, model or system analysis
Midterm presentation and progress evaluation by the Project Committee
Technical development, modelling, experimentation, or system implementation
Technical development, modelling, experimentation, or system implementation
Technical development, modelling, experimentation, or system implementation
Technical development, modelling, experimentation, or system implementation
Technical development, modelling, experimentation, or system implementation
Testing, performance analysis, validation against acceptance criteria
Final report preparation, poster presentation at the FENS Graduation Projects Exhibition 2026, submission

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
ENS490.1 Course Friday 18:00 - 20:50 A F1.24 - Amphitheater I - -

Office Hours & Room

DayTimeOfficeNotes
Monday 15:00 - 17:00 A F1.8
Tuesday 12:00 - 17:00 A F1.8
Wednesday 15:00 - 17:00 A F1.8

Assessment Methods and Criteria

Assessment Components

20%x1
Final Presentation (evaluated by the committee)
AI: Consult Instructor

Alignment with Learning Outcomes :  1   2   3   4   5

70%x1
Technical work, Engagement, Reports (evaluated by the supervisor)
AI: Consult Instructor

Alignment with Learning Outcomes :  1   2   3   4   5

10%x1
Midterm Presentation (evaluated by the committee)
AI: Consult Instructor

Alignment 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:

Engagement, weekly meetings

30 hours ⏳ (15 week × 2 h)

Technical work

45 hours ⏳ (15 week × 3 h)

Research

24 hours ⏳ (8 week × 3 h)

Presentation Preparations

21 hours ⏳ (3 week × 7 h)

Documentation, Report Preparation

30 hours ⏳ (15 week × 2 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 [ENS490] 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.

More info

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

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.

Think Critically in Assignments

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.

Ask Questions Early

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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