| Course Name |
Human-Computer Interaction
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
CE 536
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
|||||
| Course Language |
English
|
|||||
| Course Type |
Service Course
|
|||||
| Course Level |
Second Cycle
|
|||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | DiscussionCase StudyApplication: Experiment / Laboratory / WorkshopLecture / PresentationReport Writing | |||||
| National Occupation Classification | - | |||||
| Course Coordinator | - | |||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | The objective of this course is to give knowledge and experience about user-centric design methodologies, tools and contemporary research topics in order to help students develop more effective user interfaces, design applications with high usability, and develop new interaction techniques. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | Teaching the basic principles of user interfaces. Introduce students to usability models and principles. Having students carry out user and task analyses. Teaching design, prototype development and evaluation through having students complete term projects. Teaching new user interface techniques. Teaching how to carry out user-centric research. |
| Related Sustainable Development Goals |
|
|
|
Core Courses | |
| Major Area Courses |
X
|
|
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
| Week | Subjects | Related Preparation |
| 1 | Introduction to Human-Computer Interaction Research | Lazar etal Ch. 1, Stephanidis & Salvendy Vol.01 Ch.s 1-2, Mackenzie Ch. 1 |
| 2 | HCI Foundations: Cognition, Perception, Mental Models, Language, Memory, Emotion. | Stephanidis & Salvendy, Vol.01, Ch.s3-11, Mackenzie Ch. 2 |
| 3 | HCI Research Methods | Stephanidis & Salvendy, Vol. 03, Ch.s 1-8, Mackenzie Ch.s 4-6, Lazar etal Ch.s 2-5 |
| 4 | HCI Interaction Methods and Technologies | Stephanidis & Salvendy, Vol. 04, Mackenzie Ch. 3 |
| 5 | HCI Design Methods | Stephanidis & Salvendy, Vol. 03, Ch.s 9-17, Lazar etal Ch.s 13-16 |
| 6 | HCI in Intelligent Environments | Stephanidis & Salvendy, Vol. 05 |
| 7 | HCI in Various Application Domains: Health, Games, Interactive Media, Business & Commerce, Manufacturing | Stephanidis & Salvendy, Vol. 06 |
| 8 | Midterm Exam | |
| 9 | Case Studies: User Experience in Software Engineering and Artifical Intelligence Technologies | Various academic articles and papers |
| 10 | Case Studies: Virtual / Augmented / Mixed Reality | Various academic articles and papers |
| 11 | Case Studies: Eye Tracking and Multimodal Interaction | Various academic articles and papers |
| 12 | Case Studies: Player-Computer Interaction | Various academic articles and papers |
| 13 | Case Studies: Brain-Computer Interfaces and Wearable Technologies | Various academic articles and papers |
| 14 | Case Studies: Human-Robot Interaction and Transhumanism | Various academic articles and papers |
| 15 | Review of the Semester | |
| 16 | Project Presentations |
| Course Notes/Textbooks | Research Methods in Human-Computer Interaction, Lazar, J., Feng, J. H., & Hochheiser, H. (2017). Morgan Kaufmann. Human-Computer Interaction: Foundations and Advances, Stephanidis, C., Salvendy G. (2024). Taylor & Francis. |
| Suggested Readings/Materials | Human-Computer Interaction: An Empirical Research Perspective, MacKenzie, I. S. (2024). Morgan Kaufmann. Research Methods for Human-Computer Interaction, Cairns, P., Cox, A. L. (2016). Cambridge University Press. Designing The User Interface: Strategies for Effective Human-Computer Interaction, Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S., Elmqvist, N., Diakopoulos, N. (2018). Pearson. Human-Centered AI, Shneiderman, B. (2022). Oxford University Press. Selected papers that are posted on the web page. |
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury |
3
|
20
|
| Project |
1
|
50
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam | ||
| Total |
| Weighting of Semester Activities on the Final Grade |
100
|
|
| Weighting of End-of-Semester Activities on the Final Grade | ||
| Total |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
15
|
5
|
75
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
3
|
7
|
21
|
| Project |
1
|
50
|
50
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
31
|
31
|
| Final Exam |
0
|
||
| Total |
225
|
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
|||||
|
1
|
2
|
3
|
4
|
5
|
|||
| 1 |
To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. |
-
|
-
|
-
|
-
|
-
|
|
| 2 |
To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. |
-
|
-
|
-
|
-
|
-
|
|
| 3 |
To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. |
-
|
-
|
-
|
-
|
-
|
|
| 4 |
To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively. |
-
|
-
|
-
|
-
|
-
|
|
| 5 |
To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics. |
-
|
-
|
-
|
-
|
-
|
|
| 6 |
To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually. |
-
|
-
|
-
|
-
|
-
|
|
| 7 |
To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions. |
-
|
-
|
-
|
-
|
-
|
|
| 8 |
To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions. |
-
|
-
|
-
|
-
|
-
|
|
| 9 |
To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. |
-
|
-
|
-
|
-
|
-
|
|
| 10 |
To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. |
-
|
-
|
-
|
-
|
-
|
|
| 11 |
To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1) |
-
|
-
|
-
|
-
|
-
|
|
| 12 |
To be able to speak a second foreign language at a medium level of fluency efficiently. |
-
|
-
|
-
|
-
|
-
|
|
| 13 |
To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering. |
-
|
-
|
-
|
-
|
-
|
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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