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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
HUMAN MACHINE INTERACTION-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Selim AKYOKUŞ
Name of Lecturer(s)Assist.Prof. Muhsin Zahid UĞUR
Assistant(s)
AimThis 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 ContentThis 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 KazanımlarıTeaching MethodsAssessment 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

OrderSubjectsPreliminary Work
1What is interaction design?
2The Process of Interaction Design, Conceptualizing Interaction
3Cognitive Aspects
4Interfaces I
5Interfaces II
6Discovering Requirements
7Data Gathering
8Data Analysis, Interpretation, and Presentation
9Mid-Semester Presentation
10Design, Prototyping, and Construction
11Data at Scale, Interaction Design in Practice
12Introducing Evaluation, Evaluation Studies: From Controlled to Natural Settings
13Evaluation: Inspections, Analytics, and Models
14Social 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
NoProgram QualificationContribution Level
12345
1
An ability to apply knowledge of mathematics, science, and engineering
2
An ability to identify, formulate, and solve engineering problems
3
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
An ability to design and conduct experiments, as well as to analyze and interpret data
6
An ability to function on multidisciplinary teams
7
An ability to communicate effectively
8
A recognition of the need for, and an ability to engage in life-long learning
9
An understanding of professional and ethical responsibility
10
A knowledge of contemporary issues
11
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report12672
Term Project000
Presentation of Project / Seminar21020
Quiz000
Midterm Exam12424
General Exam12424
Performance Task, Maintenance Plan000
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

CourseCodeSemesterT+P (Hour)CreditECTS
HUMAN MACHINE INTERACTION-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Selim AKYOKUŞ
Name of Lecturer(s)Assist.Prof. Muhsin Zahid UĞUR
Assistant(s)
AimThis 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 ContentThis 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 KazanımlarıTeaching MethodsAssessment 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

OrderSubjectsPreliminary Work
1What is interaction design?
2The Process of Interaction Design, Conceptualizing Interaction
3Cognitive Aspects
4Interfaces I
5Interfaces II
6Discovering Requirements
7Data Gathering
8Data Analysis, Interpretation, and Presentation
9Mid-Semester Presentation
10Design, Prototyping, and Construction
11Data at Scale, Interaction Design in Practice
12Introducing Evaluation, Evaluation Studies: From Controlled to Natural Settings
13Evaluation: Inspections, Analytics, and Models
14Social 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
NoProgram QualificationContribution Level
12345
1
An ability to apply knowledge of mathematics, science, and engineering
2
An ability to identify, formulate, and solve engineering problems
3
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
An ability to design and conduct experiments, as well as to analyze and interpret data
6
An ability to function on multidisciplinary teams
7
An ability to communicate effectively
8
A recognition of the need for, and an ability to engage in life-long learning
9
An understanding of professional and ethical responsibility
10
A knowledge of contemporary issues
11
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:37Son Güncelleme Tarihi: 09/10/2023 - 10:37