CS508 Advanced Database Management Systems
CS508 Advanced Database Management Systems
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Computer Sciences and Engineering
Emine Yaman
Course Lecturer
Course Objectives
The course will cover advanced issues in database management systems. The course consist of a mixture of lectures and presentations by the students. Each student is also expected to gain hands on experience by carrying out a semester long project on their topic of choice.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
First Book: Database Systems, T. Connoly and C. Begg, Addison Wesley, 5th edition, 2010.
Additional Literature
Second Book: Database System Concepts, A. Silberschatz, H. F. Korth, S. Sudarshan, Mc Graw Hill Education, 7th edition.Teaching Methods
I will lecture one week and following week each student is expected to be prepared for discussion about related papers
Students are expected to read the required materials and participate in the discussions
Students are also expected to carry-out a semester long project on a problem of their choice
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction to course | |
| 2 | Datawarehousing Concepts | Book 1: Chapter 32 |
| 3 | Datawarehousing Desing | Book 1: Chapter 33 |
| 4 | Discussion of Related Papers | |
| 5 | OLAP | Book 1: Chapter 34 |
| 6 | Discussion of Related Papers | |
| 7 | Midterm Exam Week | |
| 8 | Security and Administration, Ethical Issues | Book 1: Chapter 20 ,21 |
| 9 | Discussion of Related Papers | |
| 10 | Indexing | Book 2: Chapter 14 |
| 11 | Discussion of Related Papers | |
| 12 | Project Preparation | |
| 13 | Project Preparation | |
| 14 | Presentations of Projects | |
| 15 | Presentations of Projects |
Course Schedule (All Sections)
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Wednesday | 10:00 - 12:00 | A F1.34 | |
| Thursday | 10:00 - 12:00 | A F1.34 | |
| Friday | 10:00 - 12:00 | A F1.34 |
Assessment Methods and Criteria
Assessment Components
Final Project Paper/Presentation
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Paper Discussion/Participation
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Proposal Presentation
AI: Not AllowedAlignment with Learning Outcomes : 1 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)
Preparation for Paper Discussion
25 hours ⏳ (5 week × 5 h)
Home Study
15 hours ⏳ (15 week × 1 h)
Project Preparation
45 hours ⏳ (3 week × 15 h)
Proposal Presentation
10 hours ⏳ (1 week × 10 h)
Project Presentation
10 hours ⏳ (1 week × 10 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 [CS508] 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 | |||||||||
| CS508 | Advanced Database Management Systems | 3 | 0 | 6 | Tuesday: 17:00-19:50 | |||||
| Prerequisite | None | It is a prerequisite to | - | |||||||
| Lecturer | Emine Yaman | Office Hours / Room / Phone | Wednesday: 10:00-12:00 Thursday: 10:00-12:00 Friday: 10:00-12:00 |
|||||||
| eyaman@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The course will cover advanced issues in database management systems. The course consist of a mixture of lectures and presentations by the students. Each student is also expected to gain hands on experience by carrying out a semester long project on their topic of choice. | |||||||||
| Textbook | First Book: Database Systems, T. Connoly and C. Begg, Addison Wesley, 5th edition, 2010. | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | I will lecture one week and following week each student is expected to be prepared for discussion about related papers. Students are expected to read the required materials and participate in the discussions. Students are also expected to carry-out a semester long project on a problem of their choice. | |||||||||
| Teaching Method Delivery | Online | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction to course | |||||||||
| Week 2 | Datawarehousing Concepts | Book 1: Chapter 32 | ||||||||
| Week 3 | Datawarehousing Desing | Book 1: Chapter 33 | ||||||||
| Week 4 | Discussion of Related Papers | |||||||||
| Week 5 | OLAP | Book 1: Chapter 34 | ||||||||
| Week 6 | Discussion of Related Papers | |||||||||
| Week 7 | Midterm Exam Week | |||||||||
| Week 8 | Security and Administration, Ethical Issues | Book 1: Chapter 20 ,21 | ||||||||
| Week 9 | Discussion of Related Papers | |||||||||
| Week 10 | Indexing | Book 2: Chapter 14 | ||||||||
| Week 11 | Discussion of Related Papers | |||||||||
| Week 12 | Project Preparation | |||||||||
| Week 13 | Project Preparation | |||||||||
| Week 14 | Presentations of Projects | |||||||||
| Week 15 | Presentations of Projects | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Project Paper/Presentation | 1 | 50 | 1,2,3,4,5 | Not Allowed | |
| Semester Evaluation Components | |||||
| Paper Discussion/Participation | 5 | 35 | 1,2,3,4,5 | Not Allowed | |
| Proposal Presentation | 1 | 15 | 1,2,3,4,5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | Preparation for Paper Discussion | 5 | 5 | 25 | |||
| Home Study | 1 | 15 | 15 | Project Preparation | 15 | 3 | 45 | |||
| Proposal Presentation | 10 | 1 | 10 | Project Presentation | 10 | 1 | 10 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||