Information Package

Master's of Biomedical Engineering without Thesis

BME530

HUMAN-COMPUTER INTERFACE

Course Code
BME530
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

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
PrerequisitesNo
Recommended Optional Programme ComponentsNo
Course DescriptionFirstly, 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
WEEK TOPICS
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
Recommended 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 Methods
  • Lecture
  • Discussion
  • Presentation
  • Project
  • Practice
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 35
Total(%) 65
Contribution of In-term Studies to Overall Grade(%) 65
Contribution of Final Examination to Overall Grade(%) 35
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 84 84
Preparation for Quiz 0 0 0
Individual or group work 2 3 6
Preparation for Final exam 1 24 24
Course hours 14 3 42
Preparation for Midterm exam 1 15 15
Laboratory (including preparation) 0 0 0
Final exam 1 96 96
Homework
Project 1 24 24
Total Work Load291
Total Work Load / 30 (h)9.7
ECTS Credit of the Course10
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1 X X X
K2
K3 X X
K4 X X
K5
K6 X
K7 X X
K8