MBA561 Management Information Systems
MBA561 Management Information Systems
Syllabus | International University of Sarajevo - Last Update on Feb 02, 2026
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Management
Amra Selimović Fijuljanin
Course Lecturer
Course Objectives
This course develops a strategic understanding of how information systems drive digital transformation, competitive advantage, and managerial decision-making. It focuses on the role of data, artificial intelligence, enterprise systems, and cybersecurity in shaping modern organizations and digital economies. The course prepares future leaders to evaluate technology investments, manage digital risks, and align IT strategy with business goals.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
David M. Kroenke, Randall J. Boyle, Using MIS (11th ed), 2019.
Additional Literature
Laudon K. & Laudon J., Management Information Systems: Managing the Digital Firm (17th ed), Pearson, 2022Teaching Methods
The methods include lectures (which may involve PowerPoint presentation
Video
And audio aids)
Student presentations
Assigments and class discussions.
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introductory lecture: Course overview, importance of MIS | Handouts |
| 2 | Information Systems in Modern Business | Handouts |
| 3 | Structure of Information Systems (TPS, MIS, DSS, ESS) | Handouts |
| 4 | Case study | |
| 5 | Hardware and Software in Emerging Technologies: IoT, Crypto, 3D Printing, Digital Reality | Handouts |
| 6 | Database Processing and Data Management | Handouts |
| 7 | Enterprise Applications (ERP, CRM, SCM) | Handouts |
| 8 | Midterm Exam | |
| 9 | The New E-Commerce and Digital Business Models | Handouts |
| 10 | Managing Artificial Intelligence in Organizations | Handouts |
| 11 | Case Study | |
| 12 | Development of Information Systems | Handouts |
| 13 | Security Threats and Cybersecurity Management | Handouts |
| 14 | IT Project Management | Handouts |
| 15 | Student Presentations & Final Exam Preparation | Handouts |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| MBA561.1 | Course | Thursday 17:00 - 19:50 | B F1.35 FBA Conference Room | - | - |
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Midterm
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3
Assigments
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3
Project
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)
Home study
45 hours ⏳ (15 week × 3 h)
Assigments
10 hours ⏳ (2 week × 5 h)
Project
20 hours ⏳ (4 week × 5 h)
Midterm exam study
15 hours ⏳ (1 week × 15 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 [MBA561] 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
Print Syllabus
Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| MBA561 | Management Information Systems | 3 | 0 | 6 | ||||||
| Prerequisite | None | It is a prerequisite to | - | |||||||
| Lecturer | Amra Selimović Fijuljanin | Office Hours / Room / Phone | ||||||||
| aselimovic-fijuljanin@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | This course develops a strategic understanding of how information systems drive digital transformation, competitive advantage, and managerial decision-making. It focuses on the role of data, artificial intelligence, enterprise systems, and cybersecurity in shaping modern organizations and digital economies. The course prepares future leaders to evaluate technology investments, manage digital risks, and align IT strategy with business goals. | |||||||||
| Textbook | David M. Kroenke, Randall J. Boyle, Using MIS (11th ed), 2019. | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | The methods include lectures (which may involve PowerPoint presentation, video, and audio aids), student presentations, assigments and class discussions. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introductory lecture: Course overview, importance of MIS | Handouts | ||||||||
| Week 2 | Information Systems in Modern Business | Handouts | ||||||||
| Week 3 | Structure of Information Systems (TPS, MIS, DSS, ESS) | Handouts | ||||||||
| Week 4 | Case study | |||||||||
| Week 5 | Hardware and Software in Emerging Technologies: IoT, Crypto, 3D Printing, Digital Reality | Handouts | ||||||||
| Week 6 | Database Processing and Data Management | Handouts | ||||||||
| Week 7 | Enterprise Applications (ERP, CRM, SCM) | Handouts | ||||||||
| Week 8 | Midterm Exam | |||||||||
| Week 9 | The New E-Commerce and Digital Business Models | Handouts | ||||||||
| Week 10 | Managing Artificial Intelligence in Organizations | Handouts | ||||||||
| Week 11 | Case Study | |||||||||
| Week 12 | Development of Information Systems | Handouts | ||||||||
| Week 13 | Security Threats and Cybersecurity Management | Handouts | ||||||||
| Week 14 | IT Project Management | Handouts | ||||||||
| Week 15 | Student Presentations & Final Exam Preparation | Handouts | ||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 30 | 1,2,3,4,5 | Not Allowed | |
| Semester Evaluation Components | |||||
| Midterm | 1 | 25 | 1,2,3 | Not Allowed | |
| Assigments | 2 | 20 | 1,2,3 | Not Allowed | |
| Project | 1 | 25 | 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 | Home study | 3 | 15 | 45 | |||
| Assigments | 5 | 2 | 10 | Project | 5 | 4 | 20 | |||
| Midterm exam study | 15 | 1 | 15 | 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: 17/02/2026 | |||||||||