Information Package / Course Catalogue
Technology Communication
Course Code: İLT404
Course Type: Non Departmental Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 1
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The main objective of this course is to help students comprehend the effects of technological developments and algorithmic culture on communication processes, thereby providing them with a strong theoretical foundation in art, design, and technology. Students will gain a critical awareness of 'data citizenship' beyond digital literacy and develop the ability to question technological imaginaries within the context of universal values. In the applied dimension of the course, students will practically experience how and where to use AI-supported design tools and current technologies within the framework of visual communication culture; production processes will be carried out in strict compliance with the ethical principles of design, art, and science. Ultimately, through multidimensional thinking skills, students will transform abstract concepts into innovative and original works around speculative themes such as the 'Smart City', and they will acquire the ability to analyze, project, and effectively deliver their designed digital services to the right target audience based on user experience (UX).

Course Content

Technology debates, human-machine interaction, big data, internet of things, generative AI ethics. Students creating a comprehensive portfolio at the end of the semester by producing visual, auditory, and UI (user interface) materials through weekly workshop studies within the framework of "The Smart City of the Future: Speculative Service Design".

Name of Lecturer(s)
Learning Outcomes
1.Explains technological communication processes, human-machine interaction theories, and historical evolution.
2.Analyzes data on digital platforms, algorithmic culture, and generative AI tools with a critical approach within the context of ethical (copyright, bias) and sustainability principles.
3.Designs digital service, product, or interface concepts by constructing speculative design scenarios such as the "smart city".
4.Produces multimedia projects consisting of visual, auditory, and interface (UI) components by competently using AI-supported design tools.
5.Defends and evaluates the produced design components at academic standards in a professional portfolio format by combining them.
Recommended or Required Reading
1.Shoshana Zuboff - The Age of Surveillance Capitalism
2.Vasif Vagifoğlu Nabiyev, Yapay Zeka İnsan - Bilgisayar Etkileşim
3.Cathy O'Neil - Weapons of Math Destruction
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Introduction and Paradigm Shift: From digital literacy to data citizenship. / Project Launch: Smart City Service brief, concept brainstorming
Week 2 - Theoretical & Practice
Evolution of Human-Machine Interaction: Interface debates. / Prompt Engineering 101: Shaping manifesto with text-based AI
Week 3 - Theoretical & Practice
Big Data and Algorithmic Culture: The role of data in communication. / Data Architecture: Drawing the data flow diagram (flowchart) of the designed service
Week 4 - Theoretical & Practice
Artificial Intelligence and Design Ethics: Copyrights, bias, and synthetic media. / Ethical Stress Test: Writing a report analyzing potential ethical violations of the project
Week 5 - Theoretical & Practice
New Media in Visual Production: Generative artificial intelligence. / Visual World Building: Concept designs (moodboard) with text-to-image tools
Week 6 - Theoretical & Practice
Digital Public Sphere and Smart Cities: Social networks and surveillance society. / UI / Interface Draft: Drawing user interface (UI) wireframes
Week 7 - Theoretical & Practice
Internet of Things (IoT) and Communication Context. / Physical Touchpoints: Integration scenario with IoT devices
Week 8 - Theoretical & Practice
The AI Divide in Education. / Midterm Presentation (Pitching): Evaluation of drafts with an elevator pitch
Week 9 - Theoretical & Practice
Cybercultural Narratives: Dystopias and technological futures. / Storyboarding: Creating storyboards of scenes with AI
Week 10 - Theoretical & Practice
Auditory AI in Multimedia. / Sound Design: Producing voiceovers and ambient music with AI sound tools
Week 11 - Theoretical & Practice
Spatial Computing and Immersive Media: VR, AR, XR technologies. / AR Concept: Designing an augmented reality (AR) filter / mockup experience
Week 12 - Theoretical & Practice
User Experience (UX) Research: Advanced approaches. / Prototype Assembly: Merging materials with video editing tools
Week 13 - Theoretical & Practice
Critical Maker Culture and the Design of the Future. / Studio Critique: Technical troubleshooting, preparation for the final format
Week 14 - Theoretical & Practice
General Evaluation and Synthesis. / Peer Assessment: Preliminary presentations (peer-review) and final touches
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures5%5
Assignment1%15
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice141128
Assignment113114
Midterm Examination110111
Final Examination115116
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
OÇ-1
5
5
OÇ-2
5
5
5
OÇ-3
5
5
OÇ-4
4
5
OÇ-5
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026