M.SC. in Computer Engineering (Without Thesis)

CE 536 | Course Introduction and Application Information

Course Name

Human-Computer Interaction

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
CE 536	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	Second Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	-
National Occupation Classification	-
Course Coordinator	-
Course Lecturer(s)	Yrd. Doç. Dr. Gazihan ALANKUŞ
Assistant(s)	-

Course Objectives

The objective of this course is to give knowledge and experience about user-centric design methodologies, tools and contemporary research topics in order to help students develop more effective user interfaces, design applications with high usability, and develop new interaction techniques.

Learning Outcomes

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	will be able to summarize the basic terms and concepts related to human computer interaction.
2	will be able to analyse user and task requirements.
3	will be able to test the usability of user interfaces.
4	will be able to evaluate the developments in the field of Human-Computer Interaction.
5	will be able to arrange an experimental study related to Human-Computer Interaction.

Course Description

Teaching the basic principles of user interfaces. Introduce students to usability models and principles. Having students carry out user and task analyses. Teaching design, prototype development and evaluation through having students complete term projects. Teaching new user interface techniques. Teaching how to carry out user-centric research.

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation	Learning Outcome
1	Introduction to human computer interaction	Designing the User Interface, Ben Shneiderman, (ch 1).
2	Usability of Interactive Systems	Designing the User Interface, Ben Shneiderman, (ch 1).
3	Guidelines, Principles, and Theories	Designing the User Interface, Ben Shneiderman, (ch 2).
4	Managing Design Processes	Designing the User Interface, Ben Shneiderman, (ch 3).
5	Managing Design Processes	Designing the User Interface, Ben Shneiderman, (ch 3).
6	Evaluating Interface Designs	Designing the User Interface, Ben Shneiderman, (ch 4).
7	Evaluating Interface Designs	Designing the User Interface, Ben Shneiderman, (ch 4).
8	Evaluating Interface Designs	Designing the User Interface, Ben Shneiderman, (ch 4).
9	Midterm
10	High-fidelity prototypes in the computer	Internet resources
11	Direct Manipulation and Virtual Environments	Designing the User Interface, Ben Shneiderman, (ch 5).
12	Menu selection, form fillin, and dialog boxes	Designing the User Interface, Ben Shneiderman, (ch 6).
13	Interaction devices	Designing the User Interface, Ben Shneiderman, (ch 8).
14	Presentation
15	Review of the Semester
16	-

Course Notes/Textbooks	Ben Shneiderman, Catherine Plaisant, Maxine Cohen, Steven Jacobs, 2009, Designing the User Interface: Strategies for Effective HumanComputer Interaction (5th Edition), Addison Wesley
Suggested Readings/Materials	Selected papers that are posted on the web page.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO 1	LO 2	LO 3	LO 4	LO 5
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury	3	20
Project	1	50
Seminar / Workshop
Oral Exams
Midterm	1	30
Final Exam
Total

Weighting of Semester Activities on the Final Grade		100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	15	5	75
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments			0
Presentation / Jury	3	7	21
Project	1	50	50
Seminar / Workshop			0
Oral Exam			0
Midterms	1	31	31
Final Exam			0
		Total	225

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information.		-	-	-	-	X
2	Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.		-	-	-	X	-
3	Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines.		-	-	-	X	-
4	Is informed about new and upcoming applications in the field and learns them whenever necessary.		-	-	-	X	-
5	Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	X	-	-
6	Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.		-	-	-	X	-
7	Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process.		-	-	-	-	X
8	Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility.		-	-	-	X	-
9	Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.		-	-	-	X	-
10	Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		-	-	-	X	-
11	Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.		-	-	X	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.		-	-	-	X	-