EE331 Introduction to Communication Systems
EE331 Introduction to Communication Systems
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Electrical and Electronics Engineering
Course Objectives
The course aims provide knowledge and identify principles in modern communication systems; to enable to understand issues and implementation considerations related to the systems of data communication.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Data Communications and Networking, 5th Edition. by Behrouz A. Forouzan, McGraw-Hill Companies, Inc.
Additional Literature
"Additional: Computer Networks, Andrew S. Tanenbaum and David J. Wetherall, ed. 5th, Prentice Hall, 2011. Network+ Guide to Networks, Sixth Edition, Cengage, 2013; "Teaching Methods
This course employs a range of teaching and learning methods such as Lectures, Group Projects based on Case Studies
(Lectures with presentations, tutorials and laboratories by solving exercises, project meetings, and discussions)
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | "Introduction to the subject: Communication system: components, architectures, topologies" | Ch 1 |
| 2 | Networking Standards and the OSI Model | Ch 2 |
| 3 | "Transmission Basics Physical Media; " | Ch 3 |
| 4 | Physical Media | Ch 7 |
| 5 | Media Access Control (MAC) | Ch 9 |
| 6 | Wired LANs: Ethernet | Ch 12. 13 |
| 7 | MIDTERM EXAM | Ch 1, 2, 7, 9, 12, 13 |
| 8 | Wireless Networking | Ch 16 |
| 9 | Connecting Devices | Ch 18, 19 |
| 10 | TCP/IP Networking | Ch 9 |
| 11 | Routing | Ch 10 |
| 12 | IP V6 | Ch 22 |
| 13 | Transport layers protocols | Ch 23, 24 |
| 14 | Aplication protocols | Ch 25 |
| 15 | Project week | All chapters |
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
"Tutorial / Practical training"
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Mid-term exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Team project and presentation
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Individual project
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Quiz
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
42 hours ⏳ (14 week × 3 h)
In-term exam study
12 hours ⏳ (1 week × 12 h)
Tutorial / Practical Training
26 hours ⏳ (13 week × 2 h)
Final exam study
14 hours ⏳ (1 week × 14 h)
Group project
7 hours ⏳ (7 week × 1 h)
Individual learning
42 hours ⏳ (14 week × 3 h)
Individual project
7 hours ⏳ (7 week × 1 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 [EE331] 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 | |||||||||
| EE331 | Introduction to Communication Systems | 3 | 3 | 6 | ||||||
| Prerequisite | ENS211 | It is a prerequisite to | EE434 | |||||||
| Lecturer | TBA | Office Hours / Room / Phone | Currently not available |
|||||||
| TBA | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The course aims provide knowledge and identify principles in modern communication systems; to enable to understand issues and implementation considerations related to the systems of data communication. |
|||||||||
| Textbook | Data Communications and Networking, 5th Edition. by Behrouz A. Forouzan, McGraw-Hill Companies, Inc. | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | This course employs a range of teaching and learning methods such as Lectures, Group Projects based on Case Studies. (Lectures with presentations, tutorials and laboratories by solving exercises, project meetings, and discussions). | |||||||||
| Teaching Method Delivery | Teaching Method Delivery Notes | |||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | "Introduction to the subject: Communication system: components, architectures, topologies" | Ch 1 | ||||||||
| Week 2 | Networking Standards and the OSI Model | Ch 2 | ||||||||
| Week 3 | "Transmission Basics Physical Media; " | Ch 3 | ||||||||
| Week 4 | Physical Media | Ch 7 | ||||||||
| Week 5 | Media Access Control (MAC) | Ch 9 | ||||||||
| Week 6 | Wired LANs: Ethernet | Ch 12. 13 | ||||||||
| Week 7 | MIDTERM EXAM | Ch 1, 2, 7, 9, 12, 13 | ||||||||
| Week 8 | Wireless Networking | Ch 16 | ||||||||
| Week 9 | Connecting Devices | Ch 18, 19 | ||||||||
| Week 10 | TCP/IP Networking | Ch 9 | ||||||||
| Week 11 | Routing | Ch 10 | ||||||||
| Week 12 | IP V6 | Ch 22 | ||||||||
| Week 13 | Transport layers protocols | Ch 23, 24 | ||||||||
| Week 14 | Aplication protocols | Ch 25 | ||||||||
| Week 15 | Project week | All chapters | ||||||||
| 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 | |||||
| "Tutorial / Practical training" | 15 | 20 | 1, 2, 3, 4 | Not Allowed | |
| Mid-term exam | 1 | 20 | 1, 2, 3, 4 | Not Allowed | |
| Team project and presentation | 1 | 5 | 1, 2, 3, 4 | Not Allowed | |
| Individual project | 1 | 10 | 1, 2, 3, 4 | Not Allowed | |
| Quiz | 1 | 10 | 1, 2, 3, 4 | Not Allowed | |
| Not Allowed | |||||
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 14 | 42 | In-term exam study | 12 | 1 | 12 | |||
| Tutorial / Practical Training | 2 | 13 | 26 | Final exam study | 14 | 1 | 14 | |||
| Group project | 1 | 7 | 7 | Individual learning | 3 | 14 | 42 | |||
| Individual project | 1 | 7 | 7 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||