CS299 Social, Legal, and Ethical Issues in Computing
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Computer Sciences and Engineering
Course Objectives
The aims of this course are to explain and discuss social, legal and ethical aspects of computing in areas such as intellectual property rights, computer and network security, etc. It provides an understanding of legal areas which are relevant to discipline of computing. It will give and analyze real life examples in consideration of ethical matters and solving problems.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Quinn, M. (2017). Ethics for the information age. Pearson, 7th Edition; ISBN-13: 978-0134296548 ISBN-10: 0134296540
Additional Literature
Teaching Methods
Class discussions with examples.
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction to the course; Catalysts for Change | 1 |
| 2 | Introduction to Ethics | 2 |
| 3 | Introduction to Ethics (continuation), writing assignment I | 2 |
| 4 | Networked Communications, Quiz1 | 3 |
| 5 | Intellectual Property | 4 |
| 6 | Intellectual Property (continuation), writing assignment II | 4 |
| 7 | Information Privacy, preparation for the MIDTERM | 5 |
| 8 | MIDTERM EXAM | |
| 9 | Privacy and the Government | 6 |
| 10 | Computer and Network Security, writing assignment III | 7 |
| 11 | Computer Reliability | 8 |
| 12 | Professional Ethics, Quiz 2 | 9 |
| 13 | Professional Ethics (continuation) | 9 |
| 14 | Work and Wealth, Review | 10 |
| 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
Written Assignments
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Quizzes
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
In-term exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Participation
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
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)
Quizzes
12 hours ⏳ (2 week × 6 h)
Home study
45 hours ⏳ (15 week × 3 h)
In-term exam study
12 hours ⏳ (1 week × 12 h)
Written Assignments
18 hours ⏳ (3 week × 6 h)
Final exam study
18 hours ⏳ (1 week × 18 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 [CS299] 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 | 35 | 1,2,3,4 | Not Allowed | |
| Semester Evaluation Components | |||||
| Written Assignments | 3 | 15 | 1,2,3,4 | Not Allowed | |
| Quizzes | 2 | 20 | 1,2,3,4 | Not Allowed | |
| In-term exam | 1 | 25 | 1,2,3,4 | Not Allowed | |
| Participation | 1 | 5 | 1,2,3,4 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 15 | 45 | Quizzes | 6 | 2 | 12 | |||
| Home study | 3 | 15 | 45 | In-term exam study | 12 | 1 | 12 | |||
| Written Assignments | 6 | 3 | 18 | Final exam study | 18 | 1 | 18 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||