GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
RESEARCH TECHNIQUES IN HUMAN FACTORS ENGINEERING/5221307
Course Title: RESEARCH TECHNIQUES IN HUMAN FACTORS ENGINEERING
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Providing knowledge for fitting job to the man, designing of a work environment regarding to performance limit of worker and productivity
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  Objectives of Human Engineering (HE), Systematic Approach to HE, Research Techniques in HE
2. Week  Preliminary Presentations of Students Projects
3. Week  Anthropometry and Basic Biomechanics
4. Week  Work Physiology
5. Week  Intermediary Presentations (I) of Sudents Projects
6. Week  Intermediary Presentations (I) of Sudents Projects
7. Week  Work Environment; Noise, Vibration
8. Week  Work Environment; Illumination, Climate
9. Week  Intermediary Presentations (II) of Sudents Projects
10. Week  Intermediary Presentations (II) of Sudents Projects
11. Week  Occupational Safety
12. Week  Man-Machine Interaction, Product Usability
13. Week  Final Presentations of Student Projects
14. Week  Final Presentations of Student Projects
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
10
 Assignment
0
0
 Application
0
0
 Projects
1
80
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
90
 Percentage of Final Exam to Total Score  
10
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
0
0
0
 Searching in Internet and Library
5
4
20
 Material Design and Implementation
0
0
0
 Report Preparing
4
4
16
 Preparing a Presentation
5
4
20
 Presentation
5
5
25
 Midterm Exam and Preperation for Midterm Exam
2
3
6
 Final Exam and Preperation for Final Exam
2
2
4
 Other (should be emphasized)
5
9
45
 TOTAL WORKLOAD: 
178
 TOTAL WORKLOAD / 25: 
7.12
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Can Reach the information in width and in depth by conducting scientific research in the field, evaluate, interpret and apply the information.X
2Has comprehensive knowledge about current techniques and methods applied in engineering and their limitations.X
3Completes and applies knowledge using scientific methods, using uncertain, limited or incomplete data; use information from different disciplines together.X
4Aware of the new and emerging practices of the profession, examines and learns when needed.X
5Defines and formulates problems related to the field, develops methods to solve them and applies innovative methods in solutions.X
6Develops new and / or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs.X
7Designs and applies theoretical, experimental and modeling based research; examines and solves the complex problems encountered in this process.X
8Can work effectively in disciplinary and multidisciplinary teams, can lead such teams and develop solutions in complex situations; work independently and take responsibility.
9Communicate verbally and in writing by using a foreign language at least at the B2 level of European Language Portfolio.
10Transfer the process and results of his / her studies in written and verbal form in a systematic and clear manner in national and international environments within or outside the field.X
11Knows the social, environmental, health, security, legal aspects of engineering applications as well as project management and business practices and is aware of the constraints that these impose on engineering applications.X
12It considers social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.
 -- NAME OF LECTURER(S)
   (Prof. Mustafa Kurt , Assoc.Prof. Diyar AKAY , Assoc.Prof. Erman ÇAKIT and other relevant faculty members)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/mkurt , https://websitem.gazi.edu.tr/site/diyar , https://websitem.gazi.edu.tr/site/ecakit)
 -- EMAIL(S) OF LECTURER(S)
   (mkurt@gazi.edu.tr , diyar@gazi.edu.tr , ecakit@gazi.edu.tr)