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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Digital Game Design
  3. Program in Digital Game Design (Master's Program with Thesis)
  4. Course Structure Diagram with Credits
  5. Human-Computer Interaction
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
DİT501 - Human-Computer Interaction I. SEMESTER 4 +0 6.0
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) DOÇ. DR. UFUK TUĞTEKİN
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites
Courses Recomended -
Recommended Resources -
Work Placement -
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Foundations of HCI: Basic principles of Human-Computer Interaction and their application to game design.
Week - 2 User-Centered Design (UCD): Process management, persona creation, and scenario-based design.
Week - 3 Usability Evaluation: Heuristic analysis and usability testing methods.
Week - 4 Interface and Interaction Models: Game UI design and optimization of interaction models.
Week - 5 Input Devices and Control: Control mechanisms in games, input devices, and responsiveness.
Week - 6 User Experience (UX): Experience design in games, game enjoyment, and engagement.
Week - 7 Accessibility and Inclusivity: Inclusive design principles and accessibility standards in games.
Week - 8 Sensory Feedback: Audio, visual, and tactile feedback systems in games.
Week - 9 Haptic Technologies: Touch-based interaction and the role of haptic systems in game design.
Week - 10 User Behavior Analysis: Observing user behavior in game testing and data collection
Week - 11 Biometric Data and Eye Tracking: Use of eye-tracking and biometric data in testing.
Week - 12 Interaction in XR Environments: Natural interaction design (NUI) in VR and AR environments.
Week - 13 Cognitive Load and Human Performance: Managing cognitive load and the relation of learning curve to mechanics.
Week - 14 Future Trends: Next-generation technologies in HCI, brain-computer interfaces, and current research.

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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