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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IND 5028 HUMAN FACTOR ENGINEERING ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASISTANT PROFESSOR BURCU FELEKOĞLU

Offered to

INDUSTRIAL ENGINEERING - NON THESIS INDUSTRIAL ENGINEERING INDUSTRIAL ENGINEERING INDUSTRIAL ENGINEERING - NON THESIS (EVENING PROGRAM)

Course Objective

This course aims to provide students an understanding of the design of tasks, equipment, systems, and work environments and method syudies from a physiological and psychological ergonomics perspective.

Learning Outcomes of the Course Unit

1   To understand the contents of Human Factors Engineering 2   To understand the methods and tools for human centred design 3   To be able to explain and use basic knowledge in physical ergonomics, such as anatomy, anthropometry etc. 4   To be able to present how an ideal human-machine system should be design regarding, cognitive, physical and environmental factors 5   To be able to use appropriate methods for data collection, task analysis, posture analysis and interaction analysis of a human-machine system in a real study case

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Human factor - physiological aspect 2 Human factor - physiological aspect 3 Human factor - psychological and sociological aspect 4 Engineering psychology 5 Motivation / Productivity 6 Human aspect of man - machine interface 7 Industrial design and man - machine interface 8 Man - machine interface of information stream of man / computer systems 9 Systems approach 10 Systems analyses 11 Man - machine systems 12 Ergonomics point of view of otomatic and robot systems 13 Presentations 14 Presentations

Recomended or Required Reading

Wickens, C.D., Lee J.D., Liu Y., Gordon Becker S.E. Human Factors Engineering, Pearson Education International, Second Edition, New Jersey 2004 Wojda, F. Ergonomie und Arbeitsgestaltung, Technical University of Vienna, Lecture Notes, Viyana, 1996

Planned Learning Activities and Teaching Methods

Presentations and discussions

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.25 + ASG *0.25 +FIN *0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG *0.25 +RST *0.50

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparation for final exam 1 15 15 Preparing assignments 4 8 32 Preparations before/after weekly lectures 13 6 78 Preparation for midterm exam 1 15 15 Final 1 2 2 Midterm 1 2 2 Presentations 2 4 8 TOTAL WORKLOAD (hours) 191

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 3 3 3 5 3 3 3 LO.2 4 3 4 4 3 4 LO.3 3 3 3 5 3 3 3 5 3 LO.4 4 4 4 4 4 4 3 4 LO.5 3 3 3 3 3 3 3