Instıtute Of Graduate Educatıon
Industrıal Engıneerıng Master's Program (Wıth Thesıs)
Course Information
HUMAN FACTORS ENGINEERING | |||||
---|---|---|---|---|---|
Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
Hour / Week | |||||
INE514 | Fall | 3 | 0 | 3 | 6 |
Prerequisites and co-requisites | |
---|---|
Language of instruction | Turkish |
Type | Elective |
Level of Course | Master's |
Lecturer | |
Mode of Delivery | Face to Face |
Suggested Subject | |
Professional practise ( internship ) | None |
Objectives of the Course | Human Factors in System Engineering is a multidisciplinary field concerned with the design and evaluation of users interacting with an engineered system. It focuses on the human performance of tasks, the structure of human-system communication, human capabilities to use system components, and the design, specification, and evaluation of interfaces. The objectives are efficiency, safety, and comfort of users performing their tasks. |
Contents of the Course | Description of human-machine systems, Physical work Body mechanics, Anthropometric principles in work, Workspace design, Workload and work capacity, Physical environment: Climate and Lighting, Noise and Vibration, Mental work, Human-machine interaction, Performance shaping factors, Cognitive ergonomics, Human factors in organisational design and management. |
Learning Outcomes of Course
# | Learning Outcomes |
---|---|
1 | Student is able to apply human factors principles to their own work design problems. |
2 | Student is able to explain the basic human characteristics in work system and how that affects engineering design. |
3 | Student is able to design work system which properly respond to human attributes. |
4 | Student is able to specify designs that avoid occupation-related injuries. |
5 | Student is able to locate and evaluate published human factors research and how to apply that research to their own design problems. |
6 | Student is able to design human machine interfaces for information processing and control. |
Course Syllabus
# | Subjects | Teaching Methods and Technics |
---|---|---|
1 | Description of human-machine systems | Lecturing |
2 | Physical work Body mechanics | Lecturing |
3 | Anthropometric principles in work | Lecturing |
4 | Workspace design | Lecturing |
5 | Workload and work capacity | Lecturing |
6 | Physical environment: Climate and Lighting | Lecturing |
7 | Physical environment: Noise and Vibration | Lecturing |
8 | Midterm exam | Exam |
9 | Mental work | Lecturing |
10 | Human-machine interaction | Lecturing |
11 | Performance shaping factors | Lecturing |
12 | Cognitive ergonomics | Lecturing |
13 | Human factors in organisational design and management | Lecturing |
14 | Human factors in organisational design and management | Lecturing |
15 | Human factors in organisational design and management | Lecturing |
16 | Final Exam | Exam |
Course Syllabus
# | Material / Resources | Information About Resources | Reference / Recommended Resources |
---|---|---|---|
1 | An Introduction to Human Factors Engineering, Christopher D. Wickens, John Lee, Yili Liu & Sallie E. Gordon-Becker /2nd ed/ Hardcover/ 2003 |
Method of Assessment
# | Weight | Work Type | Work Title |
---|---|---|---|
1 | 40% | Mid-Term Exam | Mid-Term Exam |
2 | 60% | Final Exam | Final Exam |
Relationship between Learning Outcomes of Course and Program Outcomes
# | Learning Outcomes | Program Outcomes | Method of Assessment |
---|---|---|---|
1 | Student is able to apply human factors principles to their own work design problems. | 1͵2 | 1͵2 |
2 | Student is able to explain the basic human characteristics in work system and how that affects engineering design. | 2 | 1͵2 |
3 | Student is able to design work system which properly respond to human attributes. | 2͵3 | 1͵2 |
4 | Student is able to specify designs that avoid occupation-related injuries. | 5 | 1͵2 |
5 | Student is able to locate and evaluate published human factors research and how to apply that research to their own design problems. | 5 | 1͵2 |
6 | Student is able to design human machine interfaces for information processing and control. | 1 | 1͵2 |
Work Load Details
# | Type of Work | Quantity | Time (Hour) | Work Load |
---|---|---|---|---|
1 | Course Duration | 14 | 3 | 42 |
2 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 4 | 56 |
3 | Presentation and Seminar Preparation | 14 | 1 | 14 |
4 | Web Research, Library and Archival Work | 14 | 2 | 28 |
5 | Document/Information Listing | 1 | 6 | 6 |
6 | Workshop | 0 | 0 | 0 |
7 | Preparation for Midterm Exam | 1 | 2 | 2 |
8 | Midterm Exam | 1 | 1 | 1 |
9 | Quiz | 0 | 0 | 0 |
10 | Homework | 0 | 0 | 0 |
11 | Midterm Project | 0 | 0 | 0 |
12 | Midterm Exercise | 0 | 0 | 0 |
13 | Final Project | 0 | 0 | 0 |
14 | Final Exercise | 0 | 0 | 0 |
15 | Preparation for Final Exam | 0 | 0 | 0 |
16 | Final Exam | 1 | 1 | 1 |
150 |