CS405 Computer Graphics
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Computer Sciences and Engineering
Course Objectives
The aim of this course is to teach students fundamental computer graphics algorithms for 3D computer graphics systems. The course comprises both the theoretical underpinnings and relevant algorithms as well as a substantial practical component. After taking this course, students should have developed ability to program computer graphics systems and understand different goals of computer graphics (real-time and fidelity graphics) and relevant applications.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Interactive Computer Graphics: A Top-Down Approach with Shader-based OpenGL (6th Edition), by Edward Angel
Additional Literature
Teaching Methods
Lectures
Interaction in class
Labs
Project
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction to the course | Chapter 1 |
| 2 | Graphics systems and models | Chapter 1, 2 |
| 3 | Graphics programming I | Chapter 2 |
| 4 | Graphics programming II | Chapter 2 |
| 5 | Geometric objects and manipulations | Chapter 3 |
| 6 | Viewing | Chapters 1-4 |
| 7 | Mid-term review | Chapters 1-4 |
| 8 | Mid-term | Chapters 1-4 |
| 9 | Lighting and shading | Chapter 5 |
| 10 | From vertices to fragments | Chapter 6 |
| 11 | Selected topics from: discrete techniques, modeling and hierarchy, procedural methods | Chapter 7, 8 or 9 |
| 12 | Selected topics from: discrete techniques, modeling and hierarchy, procedural methods | Chapter 7, 8 or 9 |
| 13 | Selected topics from: curves and surfaces, advanced rendering | Chapters 10, 11 |
| 14 | Selected topics from: curves and surfaces, advanced rendering | Chapters 10, 11 |
| 15 | Review and final exam preparation |
Course Schedule (All Sections)
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Mid-term
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Participation
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Labs
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Assignments
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
42 hours ⏳ (14 week × 3 h)
Midterm exam study
15 hours ⏳ (1 week × 15 h)
Assignments
40 hours ⏳ (5 week × 8 h)
Final exam study
13 hours ⏳ (1 week × 13 h)
Labs
40 hours ⏳ (5 week × 8 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 [CS405] 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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| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| CS405 | Computer Graphics | 3 | 2 | 6 | ||||||
| Prerequisite | CS302, MATH201 | It is a prerequisite to | - | |||||||
| Lecturer | Office Hours / Room / Phone | Currently not available |
||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The aim of this course is to teach students fundamental computer graphics algorithms for 3D computer graphics systems. The course comprises both the theoretical underpinnings and relevant algorithms as well as a substantial practical component. After taking this course, students should have developed ability to program computer graphics systems and understand different goals of computer graphics (real-time and fidelity graphics) and relevant applications. |
|||||||||
| Textbook | Interactive Computer Graphics: A Top-Down Approach with Shader-based OpenGL (6th Edition), by Edward Angel | |||||||||
| Additional Literature | ||||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Lectures, interaction in class, labs, project | |||||||||
| Teaching Method Delivery | Teaching Method Delivery Notes | |||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction to the course | Chapter 1 | ||||||||
| Week 2 | Graphics systems and models | Chapter 1, 2 | ||||||||
| Week 3 | Graphics programming I | Chapter 2 | ||||||||
| Week 4 | Graphics programming II | Chapter 2 | ||||||||
| Week 5 | Geometric objects and manipulations | Chapter 3 | ||||||||
| Week 6 | Viewing | Chapters 1-4 | ||||||||
| Week 7 | Mid-term review | Chapters 1-4 | ||||||||
| Week 8 | Mid-term | Chapters 1-4 | ||||||||
| Week 9 | Lighting and shading | Chapter 5 | ||||||||
| Week 10 | From vertices to fragments | Chapter 6 | ||||||||
| Week 11 | Selected topics from: discrete techniques, modeling and hierarchy, procedural methods | Chapter 7, 8 or 9 | ||||||||
| Week 12 | Selected topics from: discrete techniques, modeling and hierarchy, procedural methods | Chapter 7, 8 or 9 | ||||||||
| Week 13 | Selected topics from: curves and surfaces, advanced rendering | Chapters 10, 11 | ||||||||
| Week 14 | Selected topics from: curves and surfaces, advanced rendering | Chapters 10, 11 | ||||||||
| Week 15 | Review and final exam preparation | |||||||||
| 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 | |||||
| Mid-term | 1 | 20 | 1,2,3,4,5 | Not Allowed | |
| Participation | 1 | 5 | 1,2,3,4,5 | Not Allowed | |
| Labs | 5 | 20 | 1,2,3,4,5 | Not Allowed | |
| Assignments | 5 | 20 | 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 | 14 | 42 | Midterm exam study | 15 | 1 | 15 | |||
| Assignments | 8 | 5 | 40 | Final exam study | 13 | 1 | 13 | |||
| Labs | 8 | 5 | 40 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||