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CE 536 | Course Introduction and Application Information
| 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 |
Elective
|
|||||
| 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 | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| 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. |
EVALUATION SYSTEM
| 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 |
ECTS / WORKLOAD TABLE
| 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
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
|||||
|
1
|
2
|
3
|
4
|
5
|
|||
| 1 |
To have an appropriate knowledge of methodological and practical elements of the basic sciences and to be able to apply this knowledge in order to describe engineering-related problems in the context of industrial systems. |
-
|
-
|
-
|
-
|
-
|
|
| 2 |
To be able to identify, formulate and solve Industrial Engineering-related problems by using state-of-the-art methods, techniques and equipment. |
-
|
-
|
-
|
-
|
-
|
|
| 3 |
To be able to use techniques and tools for analyzing and designing industrial systems with a commitment to quality. |
-
|
-
|
-
|
-
|
-
|
|
| 4 |
To be able to conduct basic research and write and publish articles in related conferences and journals. |
-
|
-
|
-
|
-
|
-
|
|
| 5 |
To be able to carry out tests to measure the performance of industrial systems, analyze and interpret the subsequent results. |
-
|
-
|
-
|
-
|
-
|
|
| 6 |
To be able to manage decision-making processes in industrial systems. |
-
|
-
|
-
|
-
|
-
|
|
| 7 |
To have an aptitude for life-long learning; to be aware of new and upcoming applications in the field and to be able to learn them whenever necessary. |
-
|
-
|
-
|
-
|
-
|
|
| 8 |
To have the scientific and ethical values within the society in the collection, interpretation, dissemination, containment and use of the necessary technologies related to Industrial Engineering. |
-
|
-
|
-
|
-
|
-
|
|
| 9 |
To be able to design and implement studies based on theory, experiments and modeling; to be able to analyze and resolve the complex problems that arise in this process; to be able to prepare an original thesis that comply with Industrial Engineering criteria. |
-
|
-
|
-
|
-
|
-
|
|
| 10 |
To be able to follow information about Industrial Engineering in a foreign language; to be able to present the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
-
|
-
|
-
|
-
|
-
|
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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