Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| HUMAN MACHINE INTERACTION | - | Spring Semester | 3+0 | 3 | 6 |
| Course Program |
| 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 | - | Spring Semester | 3+0 | 3 | 6 |
| Course Program |
| 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 | |