IBF514 Financial Modeling
IBF514 Financial Modeling
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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International Business and Finance
Course Objectives
This course aims to equip students with the financial modeling skills necessary to solve practical problems occurring with investment analysis, portfolio management, valuation, cost of capital, and capital budgeting using Microsoft Excel.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Mayes, T. R. & Shank, T.M. (2014). Financial Analysis with Microsoft Excel, 7th edition,, South-Western Cengage Learning.
Additional Literature
Teaching Methods
The methods include lectures (which may involve PowerPoint presentations
Videos
And audio aids)
Student presentations
Projects
And class discussions.
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Registration week - syllabus | Chapter 1 |
| 2 | Introduction to Excel and Basic Financial Calculations | Chapter 2 |
| 3 | Financial Statements | Chapter 3 |
| 4 | Financial Statement Analysis Tools | Chapter 4 |
| 5 | Financial Forecasting | Chapter 5 |
| 6 | Break-Even and Leverage Analysis | Chapter 6 |
| 7 | Midterm Exam | |
| 8 | The Time Value of Money | Chapter 7 |
| 9 | Common Stock Valuation | Chapter 8 |
| 10 | Bond Valuation | Chapter 9 |
| 11 | The Cost of Capital | Chapter 10 |
| 12 | Capital Budgeting | Chapter 11 & 12 |
| 13 | Portfolio Statistics and Diversification | Chapter 13 |
| 14 | Advanced Excel Functions | Chapter 15 |
| 15 | Project presentation and final exam review |
Course Schedule (All Sections)
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes :
Midterm exam
AI: Not AllowedAlignment with Learning Outcomes :
Project
AI: Not AllowedAlignment with Learning Outcomes :
Case study
AI: Not AllowedAlignment with Learning Outcomes :
Participation
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)
Home study
15 hours ⏳ (15 week × 1 h)
Case study
15 hours ⏳ (1 week × 15 h)
Project
25 hours ⏳ (5 week × 5 h)
Midterm exam study
25 hours ⏳ (1 week × 25 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 [IBF514 ] 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
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 20 | Not Allowed | ||
| Semester Evaluation Components | |||||
| Midterm exam | 1 | 20 | Not Allowed | ||
| Project | 2 | 20 | Not Allowed | ||
| Case study | 1 | 15 | Not Allowed | ||
| Participation | 1 | 15 | Not Allowed | ||
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | Home study | 1 | 15 | 15 | |||
| Case study | 15 | 1 | 15 | Project | 5 | 5 | 25 | |||
| Midterm exam study | 25 | 1 | 25 | 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: 27/03/2026 | |||||||||