INDUSTRIAL ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
INE4211 Digital Interaction and User Experience Fall
Spring
2 2 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. OĞUZHAN ERDİNÇ
Course Objectives: This course aims to provide students with the theoretical and applied DI & UX knowledge that an industrial engineer should have to perform successfully in the manufacturing, service and IT industries. The students will learn tools and techniques for UX evaluation and improvement of the digital systems. The course will be enriched with active learning applications. The course projects will allow students apply UX tools and techniques they will learn in the course.

Learning Outputs

The students who have succeeded in this course;
At the end of the course, you will be able to:
1.Describe the role of DI & UX for acceptance and success of digital systems in the modern industry
2.Define the interaction types and interactive systems
3.Describe how human cognition works and application of cognitive principles in digital system
design
4.Explain the elements of UX and Persona Method for defining the user group
5.Apply the UX evaluation tools and techniques
6.Apply statistical analysis of UX data
7.Apply UX principles to interface design.

Course Content

* Digital Transformation and Introduction to User Experience (UX)
*Technology Acceptance Modeli
* Interaction types and interactive systems
*Human cognition and information processing, Hyck-Hyman Law, Fitt’s Law, Gestalt principles
*Elements of UX, Nielsen Heuristics and Heuristic Evaluation
*: User test method and application
*: Statistical analysis of user test data
*UX questionnaires: Comp. Sys. Usability Q. (CSUQ), System Usability Scale
(SUS)
*Persona Method
* Accessibility
* Customer Journey Map method
* UX in mobile systems
* Eye tracking method
* Contextual Inquiry Method
* Garrett’s Five Elements Model

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Course overview: Introduction
2) Practice hour: Digital Transformation and Introduction to User Experience (UX) Lecture: Technology Acceptance Model, Interaction types and interactive systems Review course notes
3) Practice hour: Active Learning Activity (ALA)-1: Interaction types Lecture: Human cognition and information processing, Hyck-Hyman Law, Fitt’s Law, Gestalt principles Review course notes
4) Practice hour: ALA-2: Balsamiq application Lecture: Elements of UX, Nielsen Heuristics and Heuristic Evaluation Review course notes
5) Practice hour: ALA-3: Heuristic evaluation Lecture: User test method Review course notes Review heuristic evaluation
6) Practice hour: ALA-4: User test Lecture: Statistical analysis of user test data Review course notes Select a system for user test
7) Practice hour: Statistical analysis of user test data Teorik: Industry Seminar –1: *Review course notes *Review confidence intervals, z-test and t-test
8) Practice hour: Interactive problem solving Lecture: UX questionnaires: Comp. Sys. Usability Q. (CSUQ), System Usability Scale (SUS) Review course notes
9) Practice hour: Statistical analysis with CSUQ and SUS data Lecture: Persona Method, Accessibility Review course notes
10) Practice: Interactive statistical analysis exercises Lecture: Customer Journey Map, UX in mobile systems *Review course notes *Review t-test and simple regression
11) Practice hour: ALA-5: Customer Journey Map application Lecture: Industry Seminar-2 *Review course notes *Review Customer Journey Map
12) Practice hour: Eye tracking, Contextual Inquiry Method Lecture: Garrett’s Five Elements Model Applications of UX and useful resources Review course notes
13) Practice hour: Term Project presentations Lecture: Term Project presentations
14) Practice hour: Term review Lecture: Term project presentations

Sources

Course Notes: Ders notları, ders kitapları, makaleler, bilimsel raporlar ve araştırma çalışmalarının bir toplamını içerir. Course slides will include a blend of knowledge from textbooks, articles, reports and research studies. Ders kitabı / Textbook: *Jenny Preece, Helen Sharp, Yvonne Rogers, Interaction Design:Beyond Human-Computer Interaction, 4th Edition, Wiley, (2015)
References: *Jeff Sauro, James Lewis, Quantifying the user experience, Morgan Kaufmann, (2012) *Tom Tullis, Bill Albert, Measuring the user experience, Morgan Kaufmann, (2008) *Cory Lebson, The UX Careers Handbook, Chapman and Hall / CRC (2016) *Jesse James Garrett, The elements of user experience, New Riders, (2011) * Balsamiq software

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory 5 % 20
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project 1 % 30
Seminar 2 % 10
Midterms % 0
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 30
PERCENTAGE OF FINAL WORK % 70
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Laboratory 14 2 28
Application 5 2 10
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 1 14
Presentations / Seminar 1 2 2
Project 1 30 30
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 0 0 0
Paper Submission 0 0 0
Jury 0 0 0
Final 1 40 40
Total Workload 152

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Build up a body of knowledge in mathematics, science and industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
2) Identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose.
3) Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. The ability to apply modern design methods to meet this objective.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively.
5) Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently.
7) Demonstrate effective communication skills in both oral and written English and Turkish. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions.
8) Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself.
9) Develop an awareness of professional and ethical responsibility, and behaving accordingly. Information about the standards used in engineering applications.
10) Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Know contemporary issues and the global and societal effects of modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions.
12) Develop effective and efficient managerial skills.