Course Summary Course Objectives Learning Outcomes Course Materials Teaching Methods Weekly Topics Course Schedule Office Hours Assestment ECTS Calculation Course Policies Learning Tips Print Syllabi Download as PNG

ENS490 Graduation Project

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

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Faculty of Engineering and Natural Sciences

Spring 2025 - 2026 | 6 ECTS Credits | International University of Sarajevo

Academic Year
2025 - 2026
Semester
Spring
Course Code
ENS490
Weekly Hours
0 Teaching + 4 Practice
ECTS
6
Prerequisites
Last Semester
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.
Email
obuyukdagli@ius.edu.ba
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
1 Project Initiation
Topic selection, team formation, proposal submission, initial supervisor meeting
2 Project Design & Planning
Problem definition, objectives, background study, methodology selection, project planning
3 Project Design & Planning
Problem definition, objectives, background study, methodology selection, project planning
4 System Analysis
Requirement analysis, data collection/preparation, model or system analysis
5 System Analysis
Requirement analysis, data collection/preparation, model or system analysis
6 System Analysis
Requirement analysis, data collection/preparation, model or system analysis
7 System Analysis
Requirement analysis, data collection/preparation, model or system analysis
8 Midterm Presentation
Midterm presentation and progress evaluation by the Project Committee
9 Implementation
Technical development, modelling, experimentation, or system implementation
10 Implementation
Technical development, modelling, experimentation, or system implementation
11 Implementation
Technical development, modelling, experimentation, or system implementation
12 Implementation
Technical development, modelling, experimentation, or system implementation
13 Implementation
Technical development, modelling, experimentation, or system implementation
14 Verification & Validation
Testing, performance analysis, validation against acceptance criteria
15 Finalization & Assessment
Final report preparation, poster presentation at the FENS Graduation Projects Exhibition 2026, submission

Detailed Weekly Plan

Week 1: Project Initiation
Topic selection, team formation, proposal submission, initial supervisor meeting
Week 2: Project Design & Planning
Problem definition, objectives, background study, methodology selection, project planning
Week 3: Project Design & Planning
Problem definition, objectives, background study, methodology selection, project planning
Week 4: System Analysis
Requirement analysis, data collection/preparation, model or system analysis
Week 5: System Analysis
Requirement analysis, data collection/preparation, model or system analysis
Week 6: System Analysis
Requirement analysis, data collection/preparation, model or system analysis
Week 7: System Analysis
Requirement analysis, data collection/preparation, model or system analysis
Week 8: Midterm Presentation
Midterm presentation and progress evaluation by the Project Committee
Week 9: Implementation
Technical development, modelling, experimentation, or system implementation
Week 10: Implementation
Technical development, modelling, experimentation, or system implementation
Week 11: Implementation
Technical development, modelling, experimentation, or system implementation
Week 12: Implementation
Technical development, modelling, experimentation, or system implementation
Week 13: Implementation
Technical development, modelling, experimentation, or system implementation
Week 14: Verification & Validation
Testing, performance analysis, validation against acceptance criteria
Week 15: Finalization & Assessment
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

IUS Grading System

Letter marks that do not affect student's CGPA:
  • "IP" – In progress is assigned for recording unfulfilled student obligations related to graduation project/thesis/dissertation and internship.
  • "S" – Satisfactory is assigned to a student who passed the examinations that are not numerically graded or whose written assignment has been accepted.
  • "U" – Unsatisfactory is assigned to a student who failed to pass the examinations that are not numerically graded.
  • "W" – Withdrawal signifies that student has withdrawn from the relevant course.
Additional letter mark that affects student's CGPA:

"N/A" – Not attending, and it is assigned to a student who is suspended from the course or who does not meet the minimal requirement for attendance on lectures or tutorials. The course lecturer must follow the attendance policy and assign "N/A" in each case of a student failing attendance.

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

Article 112: Evaluation of Work of the Academic Staff

  1. 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.
  2. Evaluation of work of each academic staff member is to be carried out in accordance with the Statute of the institution of higher education by the institution as well as by students.
  3. The institutions of higher education are obliged to carry out a students’ evaluation survey on the academic staff performance after the end of each semester, or after the completed teaching cycle for the subject taught.
  4. Evaluation must evaluate: lecture quality, student-academic staff interaction, correctness of communication, teacher’s attitudes towards students attending the teaching activities and at assessments, availability of suggested reading material, attendance and punctuality of the teacher, along with other criteria which are defined in the Statute.
  5. The institution of higher education by a specific act determines the procedure for evaluation of the academic staff performance, the content of survey forms, the manner of conducting the evaluation, grading criteria for the evaluation, as well as adequate measures for the academic staff who received negative evaluation for two consecutive years.
  6. The evaluation of the academic staff performance is an integral process of establishment the quality assurance system, or self-control and internal quality assurance.
  7. Results of the evaluation of the academic staff performance are to be adequately analyzed by the institution of higher education, and the decision of the head of the organizational unit about the employee’s work performance is an integral part of the personal file of each member of academic staff.

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.

Course Academic Quality Assurance: Semester Student Survey

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
ENS490 Graduation Project 0 4 6 regular meetings with the project supervisor
Prerequisite Last Semester It is a prerequisite to -
Lecturer Özge Büyükdağlı Office Hours / Room / Phone
Monday:
15:00-17:00
Tuesday:
12:00-17:00
Wednesday:
15:00-17:00
A F1.8 - 033 957 224
E-mail obuyukdagli@ius.edu.ba
Assistant 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.
Textbook The FENS Graduation Project Handbook
Additional Literature
  • Additional resources provided by the project supervisor(s)
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.
Teaching Methods Regular consultations with project supervisor(s). Teamwork and collaborative problem-solving. Presentation and defense of project outcomes.
Teaching Method Delivery Hybrid / blended Teaching Method Delivery Notes
WEEK TOPIC REFERENCE
Week 1 Project Initiation
Week 2 Project Design & Planning
Week 3 Project Design & Planning
Week 4 System Analysis
Week 5 System Analysis
Week 6 System Analysis
Week 7 System Analysis
Week 8 Midterm Presentation
Week 9 Implementation
Week 10 Implementation
Week 11 Implementation
Week 12 Implementation
Week 13 Implementation
Week 14 Verification & Validation
Week 15 Finalization & Assessment
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs AI Usage
Final Presentation (evaluated by the committee) 1 20 1, 2, 3, 4, 5 Consult Instructor
Semester Evaluation Components
Technical work, Engagement, Reports (evaluated by the supervisor) 1 70 1, 2, 3, 4, 5 Consult Instructor
Midterm Presentation (evaluated by the committee) 1 10 1, 2, 3, 4, 5 Consult Instructor
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Engagement, weekly meetings 2 15 30 Technical work 3 15 45
Research 3 8 24 Presentation Preparations 7 3 21
Documentation, Report Preparation 2 15 30
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 24/02/2026
Detailed Weekly Plan
Week 1: Project Initiation Topic selection, team formation, proposal submission, initial supervisor meeting
Week 2: Project Design & Planning Problem definition, objectives, background study, methodology selection, project planning
Week 3: Project Design & Planning Problem definition, objectives, background study, methodology selection, project planning
Week 4: System Analysis Requirement analysis, data collection/preparation, model or system analysis
Week 5: System Analysis Requirement analysis, data collection/preparation, model or system analysis
Week 6: System Analysis Requirement analysis, data collection/preparation, model or system analysis
Week 7: System Analysis Requirement analysis, data collection/preparation, model or system analysis
Week 8: Midterm Presentation Midterm presentation and progress evaluation by the Project Committee
Week 9: Implementation Technical development, modelling, experimentation, or system implementation
Week 10: Implementation Technical development, modelling, experimentation, or system implementation
Week 11: Implementation Technical development, modelling, experimentation, or system implementation
Week 12: Implementation Technical development, modelling, experimentation, or system implementation
Week 13: Implementation Technical development, modelling, experimentation, or system implementation
Week 14: Verification & Validation Testing, performance analysis, validation against acceptance criteria
Week 15: Finalization & Assessment Final report preparation, poster presentation at the FENS Graduation Projects Exhibition 2026, submission

Detailed Weekly Plan

Week 1: Project Initiation
Topic selection, team formation, proposal submission, initial supervisor meeting
Week 2: Project Design & Planning
Problem definition, objectives, background study, methodology selection, project planning
Week 3: Project Design & Planning
Problem definition, objectives, background study, methodology selection, project planning
Week 4: System Analysis
Requirement analysis, data collection/preparation, model or system analysis
Week 5: System Analysis
Requirement analysis, data collection/preparation, model or system analysis
Week 6: System Analysis
Requirement analysis, data collection/preparation, model or system analysis
Week 7: System Analysis
Requirement analysis, data collection/preparation, model or system analysis
Week 8: Midterm Presentation
Midterm presentation and progress evaluation by the Project Committee
Week 9: Implementation
Technical development, modelling, experimentation, or system implementation
Week 10: Implementation
Technical development, modelling, experimentation, or system implementation
Week 11: Implementation
Technical development, modelling, experimentation, or system implementation
Week 12: Implementation
Technical development, modelling, experimentation, or system implementation
Week 13: Implementation
Technical development, modelling, experimentation, or system implementation
Week 14: Verification & Validation
Testing, performance analysis, validation against acceptance criteria
Week 15: Finalization & Assessment
Final report preparation, poster presentation at the FENS Graduation Projects Exhibition 2026, submission

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