CS520 Advanced Internet Programming
CS520 Advanced Internet Programming
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Computer Sciences and Engineering
Course Objectives
The student will be able to design dynamic webpages and explore the technlogies behind backend techonlogies. Compare and contrast competing web application architectures and list their advantages and disadvantages
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
"1. Tatroe, Kevin, and Peter MacIntyre. Programming PHP: Creating Dynamic Web Pages. O'Reilly Media, 2020. 2. Stauffer, Matt. Laravel: Up & Running: A Framework for Building Modern PHP Apps. O'Reilly Media, 2019. "
Additional Literature
Teaching Methods
Classes
Discussion
Projects and reading
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Databases | Chapter 9-Book1 |
| 2 | Graphics | Chapter 10-Book1 |
| 3 | Chapter 11-Book1 | |
| 4 | XML | Chapter 12-book 1 |
| 5 | JSON | Chapter 13-book 1 |
| 6 | Security | Chapter 14-Book 1 |
| 7 | Mid-term Exam | |
| 8 | Application Techniques | Chapter 15-Book1 |
| 9 | Routing and Controllers | Chapter 3-Book2 |
| 10 | Blade Template | Chapter 4-Book 2 |
| 11 | Databases and Eloquent | Chapter 5- Book 2 |
| 12 | Frontend Components | Chapter 6 -Book2 |
| 13 | Collecting and Handling User Data | Chapter 7 -Book2 |
| 14 | User Authentication and Authorization | Chapter 9-Book 2 |
| 15 | Requests, Responses, and Middleware | Chapter 10-Book2 |
Course Schedule (All Sections)
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes :
Project 1
AI: Not AllowedAlignment with Learning Outcomes :
Project 2
AI: Not AllowedAlignment with Learning Outcomes :
Project 3
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)
Active tutorials
30 hours ⏳ (15 week × 2 h)
Home studies
30 hours ⏳ (15 week × 2 h)
In-term exam study
10 hours ⏳ (1 week × 10 h)
Final exam study
15 hours ⏳ (1 week × 15 h)
Home assignment study
20 hours ⏳ (10 week × 2 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 [CS520] 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 | 30 | Not Allowed | ||
| Semester Evaluation Components | |||||
| Project 1 | 1 | 20 | Not Allowed | ||
| Project 2 | 1 | 20 | Not Allowed | ||
| Project 3 | 1 | 30 | Not Allowed | ||
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 15 | 45 | Active tutorials | 2 | 15 | 30 | |||
| Home studies | 2 | 15 | 30 | In-term exam study | 10 | 1 | 10 | |||
| Final exam study | 15 | 1 | 15 | Home assignment study | 2 | 10 | 20 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||