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

MAC205 Internet Studies

Syllabus   |  International University of Sarajevo  -  Last Update on May 05, 2026

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Media and Communication

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

Academic Year
2025 - 2026
Semester
Spring
Course Code
MAC205
Weekly Hours
3 Teaching + 0 Practice
ECTS
6
Prerequisites
None
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Dino Cviko

Course Lecturer

Position
Assistant
Email
dcviko@ius.edu.ba
Phone
033 957 -
Assistant(s)
-
Assistant E-mail
-

Course Objectives

This course aims to provide students with a conceptual foundation for understanding the internet as a media and communication environment shaped by platforms, networks, visibility, datafication, and governance. It aims to develop students’ ability to critically analyze how digital media influence identity, communities, visual culture, emotions, power relations, and public communication. It also aims to train students to apply course concepts to real online cases through structured, evidence-based analysis rather than descriptive commentary. Finally, it aims to examine how platform dynamics, metrics, and algorithmic visibility reshape digital journalism (news production, distribution, verification pressures, and audience measurement) from a critical, theory-driven perspective.

Learning Outcomes

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

1
Explain and accurately use core concepts for studying digital media in society (platforms, networks, visibility, datafication, algorithms, power).
2
Analyze real-world cases of online communication and culture using concept-driven, evidence-based argumentation.
3
Critically evaluate competing claims about digital media and social change (benefits, harms, trade-offs) and defend a position with clear reasoning and examples.
4
Critically discuss how platform design, metrics, and algorithmic distribution affect digital journalism (news values, sourcing and verification pressures, audience engagement, and editorial choices), using course concepts and readings.

Course Materials

Required Textbook

1. Simon Lindgren, Digital Media & Society, 2nd edition, SAGE Publications, London, 2022. 2. Paul Bradshaw, The Online Journalism Handbook: Skills to Survive and Thrive in the Digital Age, 3rd edition, Routledge, London, 2023.

Additional Literature
n/a

Teaching Methods

Class will entail lectures and discussions for guided concept
Learning and for feedback on progress toward the mastery of class objectives.

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Introduction to Course: What are Internet Studies in Media and Communication Discussion
2 What is "Digital Society"? Lindgren Ch. 1
3 Social Media Platforms Lindgren Ch. 2
4 How to think critically about Tech Lindgren Ch. 3
5 Interaction and Identity Online Lindgren Ch. 4
6 Communities and Networks Lindgren Ch. 5
7 Visuality and Visibility; Emotions and Affect Lindgren Ch. 6 & 7
8 MIDTERM
9 Power, Exploitation, Activism and Mobilisation Lindgren Ch. 8 & 9
10 Datafication and Algorithms; Software, Devices, and Infrastructure Lindgren Ch. 10, 11, 12 & 13
11 Digital Journalism: Finding Stories, Leads, and Sources Online Bradshaw Ch. 2 & 3
12 Digital Journalism: Writing for the Web and Social Platforms Bradshaw Ch. 4 & 5
13 Live/Mobile Journalism Bradshaw Ch. 7
14 Preparation for Final Exam Discussion
15 FINAL EXAM

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
MAC205.1 Course Thursday 12:00 - 14:50 B F2.6 - -

Office Hours & Room

DayTimeOfficeNotes
Tuesday 10:00 - 12:30 B F2.9
Wednesday 10:00 - 12:30 B F2.9
Thursday 10:00 - 12:00 B F2.9

Assessment Methods and Criteria

Assessment Components

30%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4

10%x1
Class Activity & Participation
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4

20%x1
Assignment
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4

30%x1
Mid-term exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4

10%x1
Quiz
AI: Not Allowed

Alignment 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

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)

Mid-term exam study

24 hours ⏳ (8 week × 3 h)

Quiz

12 hours ⏳ (6 week × 2 h)

Final exam study

60 hours ⏳ (15 week × 4 h)

Assignment

12 hours ⏳ (12 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 [MAC205] 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 May 05, 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
MAC205 Internet Studies 3 0 6
Prerequisite None It is a prerequisite to -
Lecturer Dino Cviko Office Hours / Room / Phone
Tuesday:
10:30-12:30
Wednesday:
10:30-12:30
Thursday:
10:00-12:00
B F2.9
E-mail dcviko@ius.edu.ba
Assistant Assistant E-mail
Course Objectives This course aims to provide students with a conceptual foundation for understanding the internet as a media and communication environment shaped by platforms, networks, visibility, datafication, and governance. It aims to develop students’ ability to critically analyze how digital media influence identity, communities, visual culture, emotions, power relations, and public communication. It also aims to train students to apply course concepts to real online cases through structured, evidence-based analysis rather than descriptive commentary. Finally, it aims to examine how platform dynamics, metrics, and algorithmic visibility reshape digital journalism (news production, distribution, verification pressures, and audience measurement) from a critical, theory-driven perspective.
Textbook 1. Simon Lindgren, Digital Media & Society, 2nd edition, SAGE Publications, London, 2022. 2. Paul Bradshaw, The Online Journalism Handbook: Skills to Survive and Thrive in the Digital Age, 3rd edition, Routledge, London, 2023.
Additional Literature
  • n/a
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Explain and accurately use core concepts for studying digital media in society (platforms, networks, visibility, datafication, algorithms, power).
  2. Analyze real-world cases of online communication and culture using concept-driven, evidence-based argumentation.
  3. Critically evaluate competing claims about digital media and social change (benefits, harms, trade-offs) and defend a position with clear reasoning and examples.
  4. Critically discuss how platform design, metrics, and algorithmic distribution affect digital journalism (news values, sourcing and verification pressures, audience engagement, and editorial choices), using course concepts and readings.
Teaching Methods Class will entail lectures and discussions for guided concept, learning and for feedback on progress toward the mastery of class objectives.
Teaching Method Delivery Face-to-face Teaching Method Delivery Notes
WEEK TOPIC REFERENCE
Week 1 Introduction to Course: What are Internet Studies in Media and Communication Discussion
Week 2 What is "Digital Society"? Lindgren Ch. 1
Week 3 Social Media Platforms Lindgren Ch. 2
Week 4 How to think critically about Tech Lindgren Ch. 3
Week 5 Interaction and Identity Online Lindgren Ch. 4
Week 6 Communities and Networks Lindgren Ch. 5
Week 7 Visuality and Visibility; Emotions and Affect Lindgren Ch. 6 & 7
Week 8 MIDTERM
Week 9 Power, Exploitation, Activism and Mobilisation Lindgren Ch. 8 & 9
Week 10 Datafication and Algorithms; Software, Devices, and Infrastructure Lindgren Ch. 10, 11, 12 & 13
Week 11 Digital Journalism: Finding Stories, Leads, and Sources Online Bradshaw Ch. 2 & 3
Week 12 Digital Journalism: Writing for the Web and Social Platforms Bradshaw Ch. 4 & 5
Week 13 Live/Mobile Journalism Bradshaw Ch. 7
Week 14 Preparation for Final Exam Discussion
Week 15 FINAL EXAM
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs AI Usage
Final Exam 1 30 1,2,3,4 Not Allowed
Semester Evaluation Components
Class Activity & Participation 1 10 1,2,3,4 Not Allowed
Assignment 1 20 1,2,3,4 Not Allowed
Mid-term exam 1 30 1,2,3,4 Not Allowed
Quiz 1 10 1,2,3,4 Not Allowed
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Lecture hours 3 14 42 Mid-term exam study 3 8 24
Quiz 2 6 12 Final exam study 4 15 60
Assignment 1 12 12
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 12/05/2026

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