ME306 Heat and Mass Transfer
ME306 Heat and Mass Transfer
Syllabus | International University of Sarajevo - Last Update on Sep 09, 2025
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Mechanical Engineering
Muhamed Hadžiabdić
Course Lecturer
Course Objectives
The course aims to introduce basic concepts and principles of heat transfer encountered in mechanical engineering practice. It covers analytical, empirical and numerical techniques for the solution of heat transfer problems. At the end of course diffusion mass transfer will be introduced.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Heat and Mass Transfer: Fundamentals and Applications, By Yunus Cengel
Additional Literature
Fundamentals of Heat and Mass Transfer by Frank P. Incropera, David P. DeWitt, et al.Teaching 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 | BASICS OF HEAT TRANSFER | Chap. 1 |
| 2 | HEAT CONDUCTION EQUATION | Chap. 2 |
| 3 | STEADY HEAT CONDUCTION | Chap. 3 |
| 4 | STEADY HEAT CONDUCTION | Chap. 3 |
| 5 | TRANSIENT HEAT CONDUCTION, QUIZ | Chap. 4 |
| 6 | FUNDAMENTALS OF CONVECTION | Chap. 6 |
| 7 | NUMERICAL METHODS IN HEAT CONDUCTION | Chap. 5 |
| 8 | Midterm exam | Chap. 1 |
| 9 | EXTERNAL FORCED CONVECTION | Chap. 7 |
| 10 | EXTERNAL FORCED CONVECTION | Chap. 7 |
| 11 | EXTERNAL FORCED CONVECTION | Chap. 7 |
| 12 | INTERNAL FORCED CONVECTION | Chap. 8 |
| 13 | INTERNAL FORCED CONVECTION | Chap. 8 |
| 14 | INTERNAL FORCED CONVECTION | Chap. 8 |
| 15 | Review of Topics |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| ME306.1 | Course | Monday 11:00 - 13:50 | B F2.1 | - | - |
| ME306.1 | Tutorial | Monday 14:00 - 15:50 | A F1.25 | - | - |
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 : 1 2 3 4
Quiz
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3
Assignments
AI: Not AllowedAlignment with Learning Outcomes : 4 5 6 7
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)
Active Tutorials
28 hours ⏳ (14 week × 2 h)
Home study
60 hours ⏳ (15 week × 4 h)
In-term Exam Study
6 hours ⏳ (1 week × 6 h)
Final exam study
11 hours ⏳ (1 week × 11 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 [ME306] 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 Sep 09, 2025 | 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 | |||||||||
| ME306 | Heat and Mass Transfer | 3 | 2 | 6 | ||||||
| Prerequisite | MATH202 | It is a prerequisite to | ME432 | |||||||
| 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 basic concepts and principles of heat transfer encountered in mechanical engineering practice. It covers analytical, empirical and numerical techniques for the solution of heat transfer problems. At the end of course diffusion mass transfer will be introduced. |
|||||||||
| Textbook | Heat and Mass Transfer: Fundamentals and Applications, By Yunus Cengel | |||||||||
| 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 | BASICS OF HEAT TRANSFER | Chap. 1 | ||||||||
| Week 2 | HEAT CONDUCTION EQUATION | Chap. 2 | ||||||||
| Week 3 | STEADY HEAT CONDUCTION | Chap. 3 | ||||||||
| Week 4 | STEADY HEAT CONDUCTION | Chap. 3 | ||||||||
| Week 5 | TRANSIENT HEAT CONDUCTION, QUIZ | Chap. 4 | ||||||||
| Week 6 | FUNDAMENTALS OF CONVECTION | Chap. 6 | ||||||||
| Week 7 | NUMERICAL METHODS IN HEAT CONDUCTION | Chap. 5 | ||||||||
| Week 8 | Midterm exam | Chap. 1 | ||||||||
| Week 9 | EXTERNAL FORCED CONVECTION | Chap. 7 | ||||||||
| Week 10 | EXTERNAL FORCED CONVECTION | Chap. 7 | ||||||||
| Week 11 | EXTERNAL FORCED CONVECTION | Chap. 7 | ||||||||
| Week 12 | INTERNAL FORCED CONVECTION | Chap. 8 | ||||||||
| Week 13 | INTERNAL FORCED CONVECTION | Chap. 8 | ||||||||
| Week 14 | INTERNAL FORCED CONVECTION | Chap. 8 | ||||||||
| Week 15 | Review of Topics | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | all | Not Allowed | |
| Semester Evaluation Components | |||||
| In-term exam | 1 | 30 | 1,2,3,4 | Not Allowed | |
| Quiz | 1 | 10 | 1,2,3 | Not Allowed | |
| Assignments | 4 | 20 | 4,5,6,7 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | 0 | ||||||
| Active Tutorials | 2 | 14 | 28 | Home study | 4 | 15 | 60 | |||
| In-term Exam Study | 6 | 1 | 6 | Final exam study | 11 | 1 | 11 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 19/09/2025 | |||||||||