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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
HUMAN-COMPUTER INTERFACE BME530 ------- 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree Without Thesis
YEAR OF STUDY-
SEMESTER-------
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)-
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Information about the general concepts related to human computer interaction and usability earned.
2) The graphical user interface design and implementation process
3) A project is an innovative system designed to be used in human-computer interaction is done.
4) Instrumentation used in the evaluation of human-computer interaction systems and methods are learned.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNo
COURSE DEFINITIONFirstly, the general concepts related to human computer interaction and usability are given. Later; The hardware and software used in human-computer interaction will be discussed. Basic data acquisition, sound and image processing concepts are given. Students are asked to develop a human-computer interaction systems for disabled people with these tools.
COURSE CONTENTS
WEEKTOPICS
1st Week The general framework of human-computer interaction studies
2nd Week Usability, Factors affecting usability
3rd Week Human
4th Week Computer
5th Week Computer I/O devices
6th Week Computer I/O buses.
7th Week Data Aquisation Cards
8th Week An innovative human-computer interaction system proposal for the disabled peoples. (Midterm)
9th Week Real time Data acquisition
10th Week Sound card, sound capture and assessment method
11th Week Sound card, sound capture and assessment method basics.
12th Week Video Cameras, image and video formation and processing basics.
13th Week Video Cameras, image and video formation and processing basics.
14th Week Term projects presentation
RECOMENDED OR REQUIRED READINGHuman Computer interaction
Alan Dix, Janet Fınlayy, Gregory D. Abord, Russel Beale, Perason, Prentice Hall.

Matlab, signal, image, DAQ, Image Aquisation Toolbox.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Discussion,Presentation,Project,Practice
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Project135
Total(%)65
Contribution of In-term Studies to Overall Grade(%)65
Contribution of Final Examination to Overall Grade(%)35
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam18484
Preparation for Quiz000
Individual or group work236
Preparation for Final exam12424
Course hours14342
Preparation for Midterm exam11515
Laboratory (including preparation)000
Final exam19696
Homework
Project12424
Total Workload291
Total Workload / 309,7
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONEnglish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2LO3LO4
K1  X   X     X
K2       
K3      X   X
K4  X   X    
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K6      X  
K7  X     X  
K8