ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
SEN3304 | Human Computer Interaction | Spring |
3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi YÜCEL BATU SALMAN |
Course Lecturer(s): |
Dr. Öğr. Üyesi YÜCEL BATU SALMAN Prof. Dr. ADEM KARAHOCA RA MERVE ARITÜRK RA SEVGİ CANPOLAT |
Recommended Optional Program Components: | None |
Course Objectives: | Main objective is to understand the user centered design in software engineering. Human Computer Interaction is an important interdisciplinary studying area, both scholars and professionals. It covers computer science, anthropology and educational psychology, etc. User interface design issues are critical for encountering, end users’ needs in software development process and these topics will be given. |
The students who have succeeded in this course; 1. Define the basic terms and concepts related to human-computer interaction 2. Define the limits and human capabilities 3. Construct user and task analysis 4. Designe user interface and develop prototype 5. Identify the usability testing steps 6. Analyse the human perspective 7. Describe the importance of color and typography for user interfaces 8. Review the new user interface design techniques such as accessibility, globalization, and personalization. 9. Identify the hierarchical models represent a user’s task and goal structure 10. Identify new research areas of HCI. |
The course content is composed of hci fundamentals, making interactive systems natural, user modeling in user-centred system design, the user-centred system design process, task analysis, requirements gathering, storyboarding and prototyping, cognitive physiology, the model human processor, advancing simplistic theories, theories of human perception, observational evaluation and protocol analysis, experiments. |
Week | Subject | Related Preparation |
1) | What is interaction design? | |
2) | Understanding and Conceptualizing interaction | |
3) | Cognitive Aspects | |
4) | Social Interaction and Design | |
5) | Emotional Interaction and design | |
6) | Interfaces and Design | |
7) | Interfaces and Design principles | |
8) | Data Gathering Techniques | |
9) | Data analysis, interpretation and presentation | |
10) | The process of interaction design | |
11) | User Centered Interface Evaluation Techniques | |
12) | Project Presentations | |
12) | Project Presentations | |
14) | Project Presentations |
Course Notes / Textbooks: | Preece, Rogers, Sharp, Interaction Design Beyond Human-Computer Interaction, 2015, 4th edition, Wiley, Serengül Smith Atakan, Human Computer Interaction, Thomson, 2006, ISBN: 1-84480-454-2 Alan Dix, Janet Finlay, Gregory D. Abowd, Russell Beale, Human – Computer Interaction, Third Edition, Pearson Prentice Hall. |
References: | Yok |
Semester Requirements | Number of Activities | Level of Contribution |
Quizzes | 9 | % 10 |
Project | 1 | % 20 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 2 | 28 |
Laboratory | 14 | 2 | 28 |
Project | 1 | 8 | 8 |
Quizzes | 9 | 5 | 45 |
Midterms | 1 | 10 | 10 |
Final | 1 | 20 | 20 |
Total Workload | 139 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Have sufficient background in mathematics, science and artificial intelligence engineering. | |
2) | Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. | |
3) | Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. | |
4) | Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. | |
5) | Select and use modern techniques and tools necessary for engineering applications. | |
6) | Design and conduct experiments, collect data, and analyse and interpret results. | |
7) | Work effectively both as an individual and as a multi-disciplinary team member. | |
8) | Access information via conducting literature research, using databases and other resources | |
9) | Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. | |
10) | Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. | |
11) | Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. | |
12) | Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. | |
13) | Have a sense of professional and ethical responsibility. | |
14) | Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |