Undergraduate
Faculty of Engineering and Architecture
Industrial Engineering
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Industrial Engineering Main Page / Program Curriculum / Human Computer Interaction and User Experience

Human Computer Interaction and User Experience

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
IE0304 Human Computer Interaction and User Experience 3/0/0 DE English 6
Course Goals

Digital transformation of the industries has brought a new dimension to industrial engineering: design and management of digital systems. No industry today, can succeed without effective management of the digital systems (e.g.web based systems, mobile apps, software systems).

The key success factor for digital systems is user performance and satisfaction, which heavily relies on effective application of human-computer interaction (HCI) principles. On the system side, user experience (UX) is the modern concept of building "user-friendly" systems. Thus, HCI & UX is the extension of traditional human factors and ergonomics into modern digital world.

This course aims to provide students with the theoretical and applied HCI & UX knowledge that an industrial engineer should have to perform effectively in the industrial and service environments, as well as in the IT field.

The students will learn the underlying principles of HCI and UX, the tools and techniques for  evaluation and improvement of the digital systems for better user performance and satisfaction. 

Prerequisite(s) None
Corequisite(s) None
Special Requisite(s) The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s) Assist. Prof. Dr. Reis Burak Arslan
Course Assistant(s)
Schedule This course is not offered in this semester.
Office Hour(s) This course is not offered in this semester.
Teaching Methods and Techniques Lecture, discussion, computer lab applications
Principle Sources  

Alan Dix, Janet Finlay, Gregory Abowd, Russel Beale , Human-Computer Interaction, Pearson Education 2004 

Jenny Preece, Helen Sharp, Yvonne Rogers, Interaction Design:Beyond Human-Computer           Interaction, 4th Edition, Wiley, (2015).                      

Jesse James Garrett, The Elements of User Experience, New Riders, (2011).

Donald Norman, The design of everyday things, Basic Books, (2013)

Other Sources

 

 

Course Schedules
Week Contents Learning Methods
1. Week Course overview: introduction to digital systems, HCI & UX, the roots of HCI & UX: ergonomics and human-machine interaction, importance of HIC & UX for corporate performance Lecture, discussion
2. Week Interaction defined, types of interaction, innovative interactive systems Lecture, discussion
3. Week Cognitive aspect: Human cognition, information processing, Fitt's Law, Hyck-Hyman Law, Gestalt principles Lecture, discussion
4. Week Usability defined: the elements of usability, Technology Acceptance Model, Nielsen heuristics Lecture, discussion
5. Week UX: emotional aspect of interaction, role of UX in customer experience, Garret's 5-elements model Lecture, discussion
6. Week UX strategy, persona method for user profiling Lecture, discussion, application
7. Week Evaluation in UX: overview, quantitative and qualitative methods, performance metrics Lecture, discussion
8. Week Applied heuristic UX evaluation Lecture, application
9. Week Subjective UX evaluation tools, application and statistical data analysis Lecture, application, problem solving
10. Week User tests, methodology, data collection and statistical analysis, eye tracking Lecture, application, problem solving
11. Week Mobile UX Lecture, discussion
12. Week Future of HCI & UX Lecture, discussion
13. Week Case studies in HCI &UX Lecture, discussion
14. Week Term project presentations Presentation
15. Week Final exam
16. Week Final exam
17. Week Final exam
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 30
Homework / Term Projects / Presentations 1 35
Final Exam 1 35


Program Outcomes
PO-1Ability to apply theoretical and practical knowledge gained by Mathematics, Science and their engineering fields and ability to use their knowledge in solving complex engineering problems.
PO-2Ability of determining, defining, formulating and solving complex engineering problems; for that purpose develop the ability of selecting and implementing suitable models and methods of analysis.
PO-3Ability of designing a complex system, process, device or product under real world constraints and conditions serving certain needs; for this purpose ability of applying modern design techniques
PO-4Ability of selecting and using the modern techniques and devices which are necessary for analyzing and solving complex problems in engineering implementations; ability of efficient usage of information technologies.
PO-5Ability of designing experiments, conducting tests, collecting data and analyzing and interpreting the solutions to investigate of complex engineering problems or discipline-specific research topics.
PO-6Ability of working efficiently in intra-disciplinary and multi-disciplinary teams; individual working ability and habits.
PO-7Ability of verbal and written communication skills; and at least one foreign language skills, ability to write effective reports and understand written reports, ability to prepare design and production reports, ability to make impressive presentation, ability to give and receive clear and understandable instructions
PO-8Awareness of importance of lifelong learning; ability to access data, to follow up the recent innovation in science and technology for continuous self-improvement.
PO-9Conformity to ethical principles; knowledge about occupational and ethical responsibility, and standards used in engineering applications.
PO-10Knowledge about work life implementations such as project management, risk management and change management; awareness about entrepreneurship and innovativeness; knowledge about sustainable development.
PO-11Knowledge about effects of engineering applications on health, environment and security in global and social dimensions, and on the problems of the modern age in engineering; awareness about legal outcomes of engineering solutions.
Learning Outcomes
LO-1Explain the importance of digital systems for modern industrial context, describe human computer interaction models, types and paradigms
LO-2İdentify and analyze user and task models
LO-3Learn and apply universal design principles and standards while developing HCI systems
LO-4Define usability and UX, understand and apply user centered design
LO-5Evaluate different interfaces using ergonomic criteria
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5