ME412 Introduction to Computational Fluid Dynamics
Syllabus | International University of Sarajevo - Last Update on Jan 01, 2026
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Mechanical Engineering
Muhamed Hadžiabdić
Course Lecturer
Course Objectives
The purpose of this course is to enable students to use CFD codes for engineering analysis and design tasks. The course aims to give students a working knowledge of computational fluid dynamics through : - introducing the (mathematical) background and theory to computational Fluid Dynamics (CFD) based on finite volume method - an awareness of the limitations of CFD codes and their application to fluid flow problems - practical sessions of running a proprietary CFD package.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
An Introduction to Computational Fluid Dynamics: The Finite Volume Method, by H. K. Versteeg and W. Malalasekera
Additional Literature
Notes of André Bakker, http://www.bakker.orgTeaching Methods
Lecturing and class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | INTRODUCTION | Chapter 1 |
| 2 | Conservation equations | Chapter 2 |
| 3 | Classification of Flows | Chapter 2 |
| 4 | Solution Methods | Chapter 2 |
| 5 | Boundary Conditions | Chapter 3 |
| 6 | Meshing | Chapter 3 |
| 7 | Turbulence | Chapter 3 |
| 8 | Midterm exam | |
| 9 | Turbulence models | Chapter 4 |
| 10 | Turbulence models | Chapter 4 |
| 11 | Boundary Layers and Separation | Chapter 5 |
| 12 | Large Eddy Simulation | Chapter 5 |
| 13 | Heat Transfer | Chapter 8 |
| 14 | Heat Transfer | Chapter 10 |
| 15 | Review of Topics |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| ME412.1 | Course | Tuesday 15:00 - 15:50 | A F1.11 | Thursday 15:00 - 16:50 | A F1.23 |
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 project
AI: Not AllowedAlignment with Learning Outcomes :
Mid-term
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3
Assignments
AI: Not AllowedAlignment with Learning Outcomes : 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:
Lecture Hours
45 hours ⏳ (15 week × 3 h)
Assignments
60 hours ⏳ (15 week × 4 h)
Home Study
30 hours ⏳ (15 week × 2 h)
Final Exam Study
15 hours ⏳ (1 week × 15 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 [ME412] 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 Jan 01, 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 | |||||||||
| ME412 | Introduction to Computational Fluid Dynamics | 3 | 0 | 6 | ||||||
| Prerequisite | ME304 | 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 purpose of this course is to enable students to use CFD codes for engineering analysis and design tasks. The course aims to give students a working knowledge of computational fluid dynamics through : - introducing the (mathematical) background and theory to computational Fluid Dynamics (CFD) based on finite volume method - an awareness of the limitations of CFD codes and their application to fluid flow problems - practical sessions of running a proprietary CFD package. |
|||||||||
| Textbook | An Introduction to Computational Fluid Dynamics: The Finite Volume Method, by H. K. Versteeg and W. Malalasekera | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Lecturing and class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | INTRODUCTION | Chapter 1 | ||||||||
| Week 2 | Conservation equations | Chapter 2 | ||||||||
| Week 3 | Classification of Flows | Chapter 2 | ||||||||
| Week 4 | Solution Methods | Chapter 2 | ||||||||
| Week 5 | Boundary Conditions | Chapter 3 | ||||||||
| Week 6 | Meshing | Chapter 3 | ||||||||
| Week 7 | Turbulence | Chapter 3 | ||||||||
| Week 8 | Midterm exam | |||||||||
| Week 9 | Turbulence models | Chapter 4 | ||||||||
| Week 10 | Turbulence models | Chapter 4 | ||||||||
| Week 11 | Boundary Layers and Separation | Chapter 5 | ||||||||
| Week 12 | Large Eddy Simulation | Chapter 5 | ||||||||
| Week 13 | Heat Transfer | Chapter 8 | ||||||||
| Week 14 | Heat Transfer | Chapter 10 | ||||||||
| Week 15 | Review of Topics | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final project | 1 | 50 | all | Not Allowed | |
| Semester Evaluation Components | |||||
| Mid-term | 1 | 25 | 1,2,3 | Not Allowed | |
| Assignments | 4 | 25 | 2,3,4,5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | Assignments | 4 | 15 | 60 | |||
| Home Study | 2 | 15 | 30 | Final Exam Study | 15 | 1 | 15 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 12/01/2026 | |||||||||