ME304 Fluid Mechanics I
Syllabus | International University of Sarajevo - Last Update on Feb 02, 2026
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Mechanical Engineering
Muhamed Hadžiabdić
Course Lecturer
Course Objectives
The course aims to introduce fundamentals of fluid mechanics, to train students in basic problem solving skills in hydrostatics and fluid dynamics, and make students aware of role of fluid mechanics in various engineering applications and design.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Fluid Mechanics by Frank White
Additional Literature
Fluid Mechanics by Yunus CengelTeaching Methods
Class discussions with examples
Active tutorial sessions combined with lab work for engaged learning and continuous feedback on progress
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction and Basic Concepts | Chapter 1 |
| 2 | Pressure distribution in a Fluid | Chapter 2 |
| 3 | Pressure distribution in a Fluid | Chapter 2 |
| 4 | Integral relations for a control volume (Basic laws of fluid mechanics, Reynolds transport theorem, Conservation of mass and momentum) | Chapter 3 |
| 5 | Integral relations for a control volume (Bernoulli equation, Energy equation) | Chapter 3 |
| 6 | Differential relations for fluid flow (Navier-Stokes equations) | Chapter 4 |
| 7 | Midterm exam | |
| 8 | Differential relations for fluid flow (Navier-Stokes equations) | Chapter 4 |
| 9 | Viscous flows in ducts | Chapter 6 |
| 10 | Viscous flows in ducts | Chapter 6 |
| 11 | Flow past immersed bodies | Chapter 7 |
| 12 | Flow past immersed bodies | Chapter 7 |
| 13 | Computational Fluid Dynamics | Chapter 8 |
| 14 | Computational Fluid Dynamics | Chapter 8 |
| 15 | Summary of the course |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| ME304.1 | Course | Wednesday 09:00 - 11:50 | A F1.10 | - | - |
| ME304.1 | Tutorial | Friday 14:00 - 15:50 | B F1.22 | - | - |
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Tuesday | 13:00 - 15:30 | A F1.31 | |
| Thursday | 10:00 - 12:00 | A F1.31 |
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes :
In-term Exam
AI: Not AllowedAlignment with Learning Outcomes :
Quiz
AI: Not AllowedAlignment with Learning Outcomes :
Assignments
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
45 hours ⏳ (15 week × 3 h)
Assignments
20 hours ⏳ (5 week × 4 h)
Active Tutorials
28 hours ⏳ (14 week × 2 h)
Home Study
45 hours ⏳ (15 week × 3 h)
In-term Exam Study
6 hours ⏳ (1 week × 6 h)
Final Exam Study
6 hours ⏳ (1 week × 6 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 [ME304] 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
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Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| ME304 | Fluid Mechanics I | 3 | 2 | 6 | ||||||
| Prerequisite | MATH202 | It is a prerequisite to | - | |||||||
| Lecturer | Muhamed Hadžiabdić | Office Hours / Room / Phone | Tuesday: 13:00-15:30 Thursday: 10:00-12:00 |
|||||||
| mhadziabdic@ius.edu.ba | ||||||||||
| Assistant | Mahir Hafizovic | Assistant E-mail | mahir.hafizovic@gmail.com | |||||||
| Course Objectives | The course aims to introduce fundamentals of fluid mechanics, to train students in basic problem solving skills in hydrostatics and fluid dynamics, and make students aware of role of fluid mechanics in various engineering applications and design. |
|||||||||
| Textbook | Fluid Mechanics by Frank White | |||||||||
| 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 combined with lab work for engaged learning and continuous feedback on progress. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction and Basic Concepts | Chapter 1 | ||||||||
| Week 2 | Pressure distribution in a Fluid | Chapter 2 | ||||||||
| Week 3 | Pressure distribution in a Fluid | Chapter 2 | ||||||||
| Week 4 | Integral relations for a control volume (Basic laws of fluid mechanics, Reynolds transport theorem, Conservation of mass and momentum) | Chapter 3 | ||||||||
| Week 5 | Integral relations for a control volume (Bernoulli equation, Energy equation) | Chapter 3 | ||||||||
| Week 6 | Differential relations for fluid flow (Navier-Stokes equations) | Chapter 4 | ||||||||
| Week 7 | Midterm exam | |||||||||
| Week 8 | Differential relations for fluid flow (Navier-Stokes equations) | Chapter 4 | ||||||||
| Week 9 | Viscous flows in ducts | Chapter 6 | ||||||||
| Week 10 | Viscous flows in ducts | Chapter 6 | ||||||||
| Week 11 | Flow past immersed bodies | Chapter 7 | ||||||||
| Week 12 | Flow past immersed bodies | Chapter 7 | ||||||||
| Week 13 | Computational Fluid Dynamics | Chapter 8 | ||||||||
| Week 14 | Computational Fluid Dynamics | Chapter 8 | ||||||||
| Week 15 | Summary of the course | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | Not Allowed | ||
| Semester Evaluation Components | |||||
| In-term Exam | 1 | 30 | Not Allowed | ||
| Quiz | 1 | 10 | Not Allowed | ||
| Assignments | 2 | 20 | Not Allowed | ||
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | Assignments | 4 | 5 | 20 | |||
| Active Tutorials | 2 | 14 | 28 | Home Study | 3 | 15 | 45 | |||
| In-term Exam Study | 6 | 1 | 6 | Final Exam Study | 6 | 1 | 6 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 17/02/2026 | |||||||||