Course Summary Course Objectives Learning Outcomes Course Materials Teaching Methods Weekly Topics Course Schedule Office Hours Assestment ECTS Calculation Course Policies Learning Tips Print Syllabi Download as PNG

EE434 Digital Communications

Syllabus   |  International University of Sarajevo  -  Last Update on Oct 10, 2025

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Electrical and Electronics Engineering

Fall 2025 - 2026 | 6 ECTS Credits | International University of Sarajevo

Academic Year
2025 - 2026
Semester
Fall
Course Code
EE434
Weekly Hours
2 Teaching + 5 Practice
ECTS
6
Prerequisites
EE331
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Tarik Namas

Course Lecturer

Position
Associate Professor Dr.
Email
tnamas@ius.edu.ba
Phone
033 957 -
Assistant(s)
-
Assistant E-mail
-

Course Objectives

The Digital Communications course provides a comprehensive understanding of industrial data communication protocols, networks and the fundamentals of SCADA systems. Students will gain knowledge of various communication protocols used in industrial automation, develop an understanding of SCADA system architecture, components, and functions, and acquire skills in configuring and troubleshooting industrial communication networks. Additionally, they will familiarize themselves with data acquisition and monitoring techniques in SCADA systems. Also, this course provides students the knowledge of the structure, classification, and application of the telecommunication system including data acquisition system and control in energy supply networks. The goal of this course is to give the students a complete overview of the tasks, structures, tools, and challenges that are required today in the electrification and automation. Students will be familiar with the processing and operating principle of the signal processing unit, the practical signal processing units and the programming technics to collect the data in real systems. Besides, students will be introduced to knowledge of the SCADA system and some specific software to design the SCADA system. Student will learn and deal with the communication structures in field, station, and network control technology, which form the backbone of future energy supply developments. Main objective of this course is: “Preparing students for the work environment in line with current trends and equipment used on a global scale”.

Learning Outcomes

After successful completion of the course, the student will be able to:

1
Understand and apply industrial communication protocols
2
Design and configure SCADA system architectures
3
Analyze and implement communication structures in energy networks
4
Acquire practical skills in configuring data acquisition systems within SCADA environments
5
Evaluate and integrate telecommunication systems in automation

Course Materials

Required Textbook

Substation Automation systems Design and Implementation, Evelio Padilla, Wiley Computer Networks: A Systems Approach, Larry Peterson and Bruce Davie Practical Modern SCADA Protocols: DNP3, 60870.5 and Related Systems by Gordon Clarke CP Eng BEng MBA (Author), Deon Reynders Pr Eng BSc (ElecEng) (Hons) MBA (Author)

Additional Literature
IEC standards (ISO/IEC 27001, IEC 62351, IEC 61850, IEC 60870-5, IEC 62439) and recommendations IEEE database Market Leaders (Siemens/ABB/Hitachi/GE/Schneider...) available documentation

Teaching Methods

Combination of lectures (theory and explaining the background of the topic) and practical exercises.

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Introduction (Introduction to Digital Communications; Digital communications in Energy networks with focus for Substation Automation)
2 Basic communication principles (Communication principles, common communication practices, and a selection of theories; Basic communication principles in Energy networks)
3 Electrification and Automation (Energy and Automation in Digital communication world; Automation of energy supply networks; Communication structures; Current developments in energy automation; Main voltages and network structures; Grid protection tasks and grid protection principles; Practical exercise and demonstrations)
4 Digital Substation principles (Connecting substation to Digital world; Energy networks (with focus on substations) in the Digital world)
5 Mission critical communication networks (Transmission communication protocol and networks)
6 Communication protocols and networks (Design, analysis, and implementation of networks and protocols)
7 Communication protocols and networks (Substation automation communication standards and protocols; IEC 61850 standard in substation communication)
8 Midterm exam
9 Communication protocols and networks (Substation automation communication protocols; Modbus RTU/TCP, IEC 60870-5-x)
10 Cyber security (Fundamentals of security related activities, security technologies and concepts; Cyber security for the industry and Energy Automation systems)
11 SCADA system architecture (Substation automation elements)
12 Practical examples and market-leader solutions for Digital communications (Overview of available Digital communications solutions with its pros and cons; Practical examples from market-leaders in Energy sector)
13 Smart Infrastructure (Industrial IoT (IIoT) - future of intelligent infrastructure and learn about the latest technologies and trends)
14 AI in Energy system (Tomorrow's energy system will have to overcome many different challenges in the areas of cybersecurity, artificial intelligence and environmental aspects)
15 Practical examples and presentations

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
EE434.1 Course Monday 17:00 - 19:50 A F1.10 - -

Office Hours & Room

Course Office hours will be available here soon.

Assessment Methods and Criteria

Assessment Components

30%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4  5

30%x1
Midterm
AI: Not Allowed

Alignment with Learning Outcomes :  1  3  5

20%x2
Quizzes
AI: Not Allowed

Alignment with Learning Outcomes :  1  3  5

20%x1
Project assignment and presentation
AI: Not Allowed

Alignment with Learning Outcomes :  2  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

IUS Grading System

Letter marks that do not affect student's CGPA:
  • "IP" – In progress is assigned for recording unfulfilled student obligations related to graduation project/thesis/dissertation and internship.
  • "S" – Satisfactory is assigned to a student who passed the examinations that are not numerically graded or whose written assignment has been accepted.
  • "U" – Unsatisfactory is assigned to a student who failed to pass the examinations that are not numerically graded.
  • "W" – Withdrawal signifies that student has withdrawn from the relevant course.
Additional letter mark that affects student's CGPA:

"N/A" – Not attending, and it is assigned to a student who is suspended from the course or who does not meet the minimal requirement for attendance on lectures or tutorials. The course lecturer must follow the attendance policy and assign "N/A" in each case of a student failing attendance.

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

30 hours ⏳ (3 week × 10 h)

Project assignment / presentations

24 hours ⏳ (12 week × 2 h)

Home study

42 hours ⏳ (14 week × 3 h)

Final exam study

12 hours ⏳ (1 week × 12 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 [EE434] 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.

More info

Article 112: Evaluation of Work of the Academic Staff

  1. 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.
  2. Evaluation of work of each academic staff member is to be carried out in accordance with the Statute of the institution of higher education by the institution as well as by students.
  3. The institutions of higher education are obliged to carry out a students’ evaluation survey on the academic staff performance after the end of each semester, or after the completed teaching cycle for the subject taught.
  4. Evaluation must evaluate: lecture quality, student-academic staff interaction, correctness of communication, teacher’s attitudes towards students attending the teaching activities and at assessments, availability of suggested reading material, attendance and punctuality of the teacher, along with other criteria which are defined in the Statute.
  5. The institution of higher education by a specific act determines the procedure for evaluation of the academic staff performance, the content of survey forms, the manner of conducting the evaluation, grading criteria for the evaluation, as well as adequate measures for the academic staff who received negative evaluation for two consecutive years.
  6. The evaluation of the academic staff performance is an integral process of establishment the quality assurance system, or self-control and internal quality assurance.
  7. Results of the evaluation of the academic staff performance are to be adequately analyzed by the institution of higher education, and the decision of the head of the organizational unit about the employee’s work performance is an integral part of the personal file of each member of academic staff.

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

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.

Think Critically in Assignments

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.

Ask Questions Early

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.

Course Academic Quality Assurance: Semester Student Survey

Syllabus Last Updated on Oct 10, 2025 | 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
EE434 Digital Communications 2 5 6
Prerequisite EE331 It is a prerequisite to -
Lecturer Tarik Namas Office Hours / Room / Phone
E-mail tnamas@ius.edu.ba
Assistant Assistant E-mail
Course Objectives The Digital Communications course provides a comprehensive understanding of industrial data communication protocols, networks and the fundamentals of SCADA systems. Students will gain knowledge of various communication protocols used in industrial automation, develop an understanding of SCADA system architecture, components, and functions, and acquire skills in configuring and troubleshooting industrial communication networks. Additionally, they will familiarize themselves with data acquisition and monitoring techniques in SCADA systems. Also, this course provides students the knowledge of the structure, classification, and application of the telecommunication system including data acquisition system and control in energy supply networks. The goal of this course is to give the students a complete overview of the tasks, structures, tools, and
challenges that are required today in the electrification and automation. Students will be familiar with the processing and operating principle of the signal processing unit, the
practical signal processing units and the programming technics to collect the data in real systems. Besides, students will be introduced to knowledge of the SCADA system and some specific software to design the SCADA system. Student will learn and deal with the communication structures in field, station, and network control technology, which form the backbone of future energy supply developments.

Main objective of this course is: “Preparing students for the work environment in line with current trends and equipment used on a global scale”.
Textbook Substation Automation systems Design and Implementation, Evelio Padilla, Wiley Computer Networks: A Systems Approach, Larry Peterson and Bruce Davie Practical Modern SCADA Protocols: DNP3, 60870.5 and Related Systems by Gordon Clarke CP Eng BEng MBA (Author), Deon Reynders Pr Eng BSc (ElecEng) (Hons) MBA (Author)
Additional Literature
  • IEC standards (ISO/IEC 27001, IEC 62351, IEC 61850, IEC 60870-5, IEC 62439) and recommendations
  • IEEE database
  • Market Leaders (Siemens/ABB/Hitachi/GE/Schneider...) available documentation
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Understand and apply industrial communication protocols
  2. Design and configure SCADA system architectures
  3. Analyze and implement communication structures in energy networks
  4. Acquire practical skills in configuring data acquisition systems within SCADA environments
  5. Evaluate and integrate telecommunication systems in automation
Teaching Methods Combination of lectures (theory and explaining the background of the topic) and practical exercises.
Teaching Method Delivery Face-to-face Teaching Method Delivery Notes
WEEK TOPIC REFERENCE
Week 1 Introduction (Introduction to Digital Communications; Digital communications in Energy networks with focus for Substation Automation)
Week 2 Basic communication principles (Communication principles, common communication practices, and a selection of theories; Basic communication principles in Energy networks)
Week 3 Electrification and Automation (Energy and Automation in Digital communication world; Automation of energy supply networks; Communication structures; Current developments in energy automation; Main voltages and network structures; Grid protection tasks and grid protection principles; Practical exercise and demonstrations)
Week 4 Digital Substation principles (Connecting substation to Digital world; Energy networks (with focus on substations) in the Digital world)
Week 5 Mission critical communication networks (Transmission communication protocol and networks)
Week 6 Communication protocols and networks (Design, analysis, and implementation of networks and protocols)
Week 7 Communication protocols and networks (Substation automation communication standards and protocols; IEC 61850 standard in substation communication)
Week 8 Midterm exam
Week 9 Communication protocols and networks (Substation automation communication protocols; Modbus RTU/TCP, IEC 60870-5-x)
Week 10 Cyber security (Fundamentals of security related activities, security technologies and concepts; Cyber security for the industry and Energy Automation systems)
Week 11 SCADA system architecture (Substation automation elements)
Week 12 Practical examples and market-leader solutions for Digital communications (Overview of available Digital communications solutions with its pros and cons; Practical examples from market-leaders in Energy sector)
Week 13 Smart Infrastructure (Industrial IoT (IIoT) - future of intelligent infrastructure and learn about the latest technologies and trends)
Week 14 AI in Energy system (Tomorrow's energy system will have to overcome many different challenges in the areas of cybersecurity, artificial intelligence and environmental aspects)
Week 15 Practical examples and presentations
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs AI Usage
Final Exam 1 30 1,2,3,4,5 Not Allowed
Semester Evaluation Components
Midterm 1 30 1,3,5 Not Allowed
Quizzes 2 20 1,3,5 Not Allowed
Project assignment and presentation 1 20 2,4 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 10 3 30
Project assignment / presentations 2 12 24 Home study 3 14 42
Final exam study 12 1 12
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 07/10/2025

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