FACULTY OF ENGINEERING

Department of Computer Engineering

IE 313 | Course Introduction and Application Information

Course Name
Human Factors Engineering
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 313
Fall/Spring
3
0
3
5

Prerequisites
None
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives To provide industrial systems engineering students with a basic Human Factors (HF) knowledge base, basic HF terminology, basic experimental and design methodologies, and selected analytical and engineering skills necessary to carry out improvements and new designs of tools, human machine systems, equipment, working and living environment which are both comfortable and safe and in which humans can operate with the most ease, producing the fewest errors at the highest efficiency and level of satisfaction.
Learning Outcomes The students who succeeded in this course;
  • Will be able to explain the breadth and depth of the Human Factors discipline
  • Will be able to apply Human Factors Engineering (HFE) data and principles to the design and evaluation of systems
  • Will be able to describe how the design of controls, displays, and related devices are affected by human factors
  • Will be able to identify and solve alternative solutions in existing workplaces to improve workplace physical conditions
  • Will be able to design an experiment for the conditions (noise, temperature, dust, etc.), collect data, analyze and interpret the results
Course Description HFE is the part of engineering most closely concerned with humans. HFE is also called Ergonomics. HFE deals with the capabilities and limitations of human beings as they relate to the design, improvement, and operation of equipment, tools, machinery, computers, automobiles, airplanes, working and living environment, organizational structures, communication systems, etc.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Human Factors and Systems, Human Factors Research Methodologies Reading Sanders and McCormick, Chapter 1, 2
2 Information Input and Processing Reading Sanders and McCormick, Chapter 3
3 Text, Graphics, Symbols, and Codes Reading Sanders and McCormick, Chapter 4
4 Visual Displays of Dynamic Information Reading Sanders and McCormick, Chapter 5
5 Auditory, Tactual, and Olfactory Displays Reading Sanders and McCormick, Chapter 6
6 Speech Communications Reading Sanders and McCormick, Chapter 7
7 Physical Work and Manual Materials Handling Reading Sanders and McCormick, Chapter 8
8 Motor Skills Reading Sanders and McCormick, Chapter 9
9 Human Control of Systems Reading Sanders and McCormick, Chapter 10
10 Controls and Data Entry Devices Reading Sanders and McCormick, Chapter 11
11 Hand Tools and Devices Reading Sanders and McCormick, Chapter 12
12 Applied Anthropometry, Work Space Design, and Seating Reading Sanders and McCormick, Chapter 13
13 Arrangement of Components within a Physical Space Reading Sanders and McCormick, Chapter 14
14 Interpersonal Aspects of Work Place Design Reading Sanders and McCormick, Chapter 15
15 Environmental Conditions: Illumination, Climate, Noise, Motion Reading Sanders and McCormick, Chapter 16, 17, 18, 19
16 Review of the Semester  

 

Course Notes/Textbooks Textbook: Sanders and McCormick, Human Factors in Engineering and Design, McGraw Hill, 1993.
Suggested Readings/Materials Kantowitz and Sorkin, HumanFactorsUnderstanding PeopleSystems Relationships, John Wiley, 1983. Wickens, Lee, Liu, and Gordon Becker, An Introduction to Human Factors Engineering, Prentice Hall, 2004. Scientific journal articles about the topics covered in the course.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
5
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
15
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
35
Total

Weighting of Semester Activities on the Final Grade
65
Weighting of End-of-Semester Activities on the Final Grade
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
16
2
32
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
20
20
Presentation / Jury
0
Project
1
20
20
Seminar / Workshop
0
Oral Exam
0
Midterms
1
12
12
Final Exam
1
18
18
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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