IBF410 Real Estate Markets
IBF410 Real Estate Markets
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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International Business and Finance
Azra Ahmić
Course Lecturer
Course Objectives
"*To introduce important concepts and principles about real estate markets *To analyze demand and supply of properties in real estate markets by using different data sources and conducting interview or survey *To make sales contracts and how to close them *To make useful calculations regarding real estate risks, finances and investments."
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Ling, D. & Archer, W. (2018). "Real Estate Principles: A value approach". Fifth edition. McGraw Hill Education.
Additional Literature
Brett, D. L. & Schmitz, A. (2009). Real Estate Market Analysis - Methods and case studies. Second edition. Urban Land Institute.Teaching Methods
The methods include lecturing (which may involve power point presentations
Video and audio aid)
Class discussions.
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Registration week | |
| 2 | The nature of real estate markets | Chapter 1 |
| 3 | Legal foundations to value | Chapter 2 |
| 4 | Market research | Chapter 6 |
| 5 | QUIZ 1 | |
| 6 | Sales comparison and cost approaches | Chapter 7 |
| 7 | The income approach to real estate markets | Chapter 8 |
| 8 | MIDTERM EXAM | |
| 9 | Real estate brokerage and listing contracts | Chapter 12 |
| 10 | Contracts for sale and closing | Chapter 13 |
| 11 | The effects of time and risk on value | Chapter 14 |
| 12 | QUIZ 2 | |
| 13 | Investment decisions: Ratios | Chapter 18 |
| 14 | NONWORKING DAY | |
| 15 | Review and projects |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| IBF410.1 | Course | Wednesday 15:00 - 17:50 | B F2.1 | - | - |
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Midterm Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3
Presentation
AI: Not AllowedAlignment with Learning Outcomes : 4 5
Class participation
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3
Quizzes
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3
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)
Presentations
36 hours ⏳ (2 week × 18 h)
Quiz
20 hours ⏳ (2 week × 10 h)
Mid-term exam study
24 hours ⏳ (1 week × 24 h)
Final exam study
25 hours ⏳ (1 week × 25 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 [IBF410] 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 Mar 03, 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 | |||||||||
| IBF410 | Real Estate Markets | 3 | 0 | 6 | ||||||
| Prerequisite | Junior Standing | It is a prerequisite to | - | |||||||
| Lecturer | Azra Ahmić | Office Hours / Room / Phone | Currently not available |
|||||||
| aahmic@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | aahmic@ius.edu.ba | ||||||||
| Course Objectives | "*To introduce important concepts and principles about real estate markets *To analyze demand and supply of properties in real estate markets by using different data sources and conducting interview or survey *To make sales contracts and how to close them *To make useful calculations regarding real estate risks, finances and investments." |
|||||||||
| Textbook | Ling, D. & Archer, W. (2018). "Real Estate Principles: A value approach". Fifth edition. McGraw Hill Education. | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | The methods include lecturing (which may involve power point presentations, video and audio aid), class discussions. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Registration week | |||||||||
| Week 2 | The nature of real estate markets | Chapter 1 | ||||||||
| Week 3 | Legal foundations to value | Chapter 2 | ||||||||
| Week 4 | Market research | Chapter 6 | ||||||||
| Week 5 | QUIZ 1 | |||||||||
| Week 6 | Sales comparison and cost approaches | Chapter 7 | ||||||||
| Week 7 | The income approach to real estate markets | Chapter 8 | ||||||||
| Week 8 | MIDTERM EXAM | |||||||||
| Week 9 | Real estate brokerage and listing contracts | Chapter 12 | ||||||||
| Week 10 | Contracts for sale and closing | Chapter 13 | ||||||||
| Week 11 | The effects of time and risk on value | Chapter 14 | ||||||||
| Week 12 | QUIZ 2 | |||||||||
| Week 13 | Investment decisions: Ratios | Chapter 18 | ||||||||
| Week 14 | NONWORKING DAY | |||||||||
| Week 15 | Review and projects | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 35 | 1, 2, 3, 4, 5 | Not Allowed | |
| Semester Evaluation Components | |||||
| Midterm Exam | 1 | 25 | 1, 2, 3 | Not Allowed | |
| Presentation | 1 | 15 | 4, 5 | Not Allowed | |
| Class participation | 1 | 15 | 1, 2, 3 | Not Allowed | |
| Quizzes | 2 | 10 | 1, 2, 3 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 15 | 45 | Presentations | 18 | 2 | 36 | |||
| Quiz | 10 | 2 | 20 | Mid-term exam study | 24 | 1 | 24 | |||
| Final exam study | 25 | 1 | 25 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 09/03/2026 | |||||||||