Course Detail
Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|---|---|---|---|---|
HUMAN MACHINE INTERACTION | IND4268020 | Spring Semester | 3+0 | 3 | 6 |
Course Program | Salı 10:00-10:45 Salı 11:00-11:45 Salı 12:00-12:45 Salı 12:45-13:30 |
Prerequisites Courses | |
Recommended Elective Courses |
Language of Course | English |
Course Level | First Cycle (Bachelor's Degree) |
Course Type | Elective |
Course Coordinator | Prof.Dr. Selim AKYOKUŞ |
Name of Lecturer(s) | Assist.Prof. Muhsin Zahid UĞUR |
Assistant(s) | |
Aim | This course covers the basic concepts, fundamental theories and current researches in human-computer interaction. Topics include principles, theories, methodologies, design, implementation, evaluation and research in computer interfaces. The objectives of this course are: • to familiarize students with basic concepts of human computer interaction • to introduce students to theories and principles in computer interface design • to develop students’ ability to design, conduct and analyze user studies for computer software • to provide students with the knowledge of the design process for user interfaces. |
Course Content | This course contains; What is interaction design?,The Process of Interaction Design, Conceptualizing Interaction,Cognitive Aspects,Interfaces I,Interfaces II,Discovering Requirements,Data Gathering,Data Analysis, Interpretation, and Presentation,Mid-Semester Presentation,Design, Prototyping, and Construction,Data at Scale, Interaction Design in Practice,Introducing Evaluation, Evaluation Studies: From Controlled to Natural Settings,Evaluation: Inspections, Analytics, and Models,Social Interaction, Emotional Interaction and Final Presentation. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
Apply fundamental concepts in human-computer interaction | ||
Design and conduct user experiments for computer interface | ||
Analyze data collected from user experiments | ||
Design computer interfaces to meet desired needs within realistic constraints | ||
Communicate effectively with stakeholders |
Teaching Methods: | |
Assessment Methods: |
Course Outline
Order | Subjects | Preliminary Work |
---|---|---|
1 | What is interaction design? | |
2 | The Process of Interaction Design, Conceptualizing Interaction | |
3 | Cognitive Aspects | |
4 | Interfaces I | |
5 | Interfaces II | |
6 | Discovering Requirements | |
7 | Data Gathering | |
8 | Data Analysis, Interpretation, and Presentation | |
9 | Mid-Semester Presentation | |
10 | Design, Prototyping, and Construction | |
11 | Data at Scale, Interaction Design in Practice | |
12 | Introducing Evaluation, Evaluation Studies: From Controlled to Natural Settings | |
13 | Evaluation: Inspections, Analytics, and Models | |
14 | Social Interaction, Emotional Interaction and Final Presentation |
Resources |
Interaction Design - Beyond Human-Computer Interaction by Helen Sharp, Yvonne Rogers, Jennifer Preece (5th edition, 2019) |
Lecture notes that will be delivered during the classes. |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications | |||||||
No | Program Qualification | Contribution Level | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. | ||||||
2 | Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | X | |||||
3 | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | X | |||||
4 | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | X | |||||
5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | ||||||
6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | X | |||||
7 | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | X | |||||
8 | Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | ||||||
9 | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | ||||||
10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||
11 | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | X |
Assessment Methods
Contribution Level | Absolute Evaluation | |
Rate of Midterm Exam to Success | 30 | |
Rate of Final Exam to Success | 70 | |
Total | 100 |
ECTS / Workload Table | ||||||
Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
Course Hours | 14 | 3 | 42 | |||
Guided Problem Solving | 0 | 0 | 0 | |||
Resolution of Homework Problems and Submission as a Report | 12 | 6 | 72 | |||
Term Project | 0 | 0 | 0 | |||
Presentation of Project / Seminar | 2 | 10 | 20 | |||
Quiz | 0 | 0 | 0 | |||
Midterm Exam | 1 | 24 | 24 | |||
General Exam | 1 | 24 | 24 | |||
Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
Total Workload(Hour) | 182 | |||||
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(182/30) | 6 | |||||
ECTS of the course: 30 hours of work is counted as 1 ECTS credit. |
Detail Informations of the Course
Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|---|---|---|---|---|
HUMAN MACHINE INTERACTION | IND4268020 | Spring Semester | 3+0 | 3 | 6 |
Course Program | Salı 10:00-10:45 Salı 11:00-11:45 Salı 12:00-12:45 Salı 12:45-13:30 |
Prerequisites Courses | |
Recommended Elective Courses |
Language of Course | English |
Course Level | First Cycle (Bachelor's Degree) |
Course Type | Elective |
Course Coordinator | Prof.Dr. Selim AKYOKUŞ |
Name of Lecturer(s) | Assist.Prof. Muhsin Zahid UĞUR |
Assistant(s) | |
Aim | This course covers the basic concepts, fundamental theories and current researches in human-computer interaction. Topics include principles, theories, methodologies, design, implementation, evaluation and research in computer interfaces. The objectives of this course are: • to familiarize students with basic concepts of human computer interaction • to introduce students to theories and principles in computer interface design • to develop students’ ability to design, conduct and analyze user studies for computer software • to provide students with the knowledge of the design process for user interfaces. |
Course Content | This course contains; What is interaction design?,The Process of Interaction Design, Conceptualizing Interaction,Cognitive Aspects,Interfaces I,Interfaces II,Discovering Requirements,Data Gathering,Data Analysis, Interpretation, and Presentation,Mid-Semester Presentation,Design, Prototyping, and Construction,Data at Scale, Interaction Design in Practice,Introducing Evaluation, Evaluation Studies: From Controlled to Natural Settings,Evaluation: Inspections, Analytics, and Models,Social Interaction, Emotional Interaction and Final Presentation. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
Apply fundamental concepts in human-computer interaction | ||
Design and conduct user experiments for computer interface | ||
Analyze data collected from user experiments | ||
Design computer interfaces to meet desired needs within realistic constraints | ||
Communicate effectively with stakeholders |
Teaching Methods: | |
Assessment Methods: |
Course Outline
Order | Subjects | Preliminary Work |
---|---|---|
1 | What is interaction design? | |
2 | The Process of Interaction Design, Conceptualizing Interaction | |
3 | Cognitive Aspects | |
4 | Interfaces I | |
5 | Interfaces II | |
6 | Discovering Requirements | |
7 | Data Gathering | |
8 | Data Analysis, Interpretation, and Presentation | |
9 | Mid-Semester Presentation | |
10 | Design, Prototyping, and Construction | |
11 | Data at Scale, Interaction Design in Practice | |
12 | Introducing Evaluation, Evaluation Studies: From Controlled to Natural Settings | |
13 | Evaluation: Inspections, Analytics, and Models | |
14 | Social Interaction, Emotional Interaction and Final Presentation |
Resources |
Interaction Design - Beyond Human-Computer Interaction by Helen Sharp, Yvonne Rogers, Jennifer Preece (5th edition, 2019) |
Lecture notes that will be delivered during the classes. |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications | |||||||
No | Program Qualification | Contribution Level | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. | ||||||
2 | Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | X | |||||
3 | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | X | |||||
4 | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | X | |||||
5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | ||||||
6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | X | |||||
7 | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | X | |||||
8 | Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | ||||||
9 | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | ||||||
10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||
11 | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | X |
Assessment Methods
Contribution Level | Absolute Evaluation | |
Rate of Midterm Exam to Success | 30 | |
Rate of Final Exam to Success | 70 | |
Total | 100 |