Department of Biomedical 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	3	0	3	5

Prerequisites	None
Course Language	English
Course Type	ELECTIVE_COURSE
Course Level	First Cycle
Mode of Delivery	Online
Teaching Methods and Techniques of the Course	Lecture Presentation
National Occupational Classification Code	-
Course Coordinator	Prof. Dr. Ahmet Sermet Anagün
Course Lecturer(s)	Doç. Dr. Necmettin Fırat Özkan
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;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	Explain the breadth and depth of the Human Factors discipline	1.5		X
LO2	Apply Human Factors Engineering (HFE) data and principles to the design and evaluation of systems	1.5		X
LO3	Describe how the design of controls, displays, and related devices are affected by human factors	4		X
LO4	Identify and solve alternative solutions in existing workplaces to improve workplace physical conditions	4			X
LO5	Design an experiment for the conditions (noise, temperature, dust, etc.), collect data, analyze and interpret the results	5.3			X

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.

Related Sustainable Development Goals

Course Category	Core Courses
	Major Area Courses	X
	Supportive Courses
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials	Learning Outcome
1	Human Factors and Systems, Human Factors Research Methodologies	Sanders and McCormick, Kısım 1, 2 okunması	LO1
2	Information Input and Processing	Sanders and McCormick, Kısım 3 okunması	LO1
3	Text, Graphics, Symbols, and Codes	Sanders and McCormick, Kısım 4 okunması	LO2
4	Visual Displays of Dynamic Information	Sanders and McCormick, Kısım 5 okunması	LO2
5	Auditory, Tactual, and Olfactory Displays	Sanders and McCormick, Kısım 6 okunması	LO3
6	Speech Communications	Sanders and McCormick, Kısım 7 okunması	LO3
7	Motor Skills	Sanders and McCormick, Kısım 9 okunması	LO3
8	Midterm Exam		-
9	Sistem Kontrolü	Sanders and McCormick, Kısım 10 okunması	LO4
10	Controls and Data Entry Devices	Sanders and McCormick, Kısım 11 okunması	LO4
11	Hand Tools and Devices	Sanders and McCormick, Kısım 12 okunması	LO4
12	Applied Anthropometry, Work Space Design, and Seating	Sanders and McCormick, Kısım 14 okunması	LO4
13	Arrangement of Components within a Physical Space	Sanders and McCormick, Kısım 15 okunması	LO4
14	Environmental Conditions: Illumination, Climate, Noise, Motion	Sanders and McCormick, Kısım 16, 17, 18, 19 okunması	LO5
15	Review of the Semester		-
16	Final Exam		-

Course Notes/Textbooks	-
Suggested Readings/Materials	-

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO1	LO2	LO3	LO4	LO5
Homework / Assignments	1	15	X	X			X
Project	1	20		X	X	X	X
Midterm	1	25	X	X	X
Final Exam	1	40			X	X	X
Total	4	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	-	-	-
Theoretical Course Hours	16	3	48
Laboratory / Application Hours	-	-	-
Study Hours Out of Class	16	2	32
Field Work	-	-	-
Quizzes / Studio Critiques	-	-	-
Portfolio	-	-	-
Homework / Assignments	1	20	20
Presentation / Jury	-	-	-
Project	1	20	20
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	12	12
Final Exam	1	18	18
		Total	150

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.
	1	Mathematics
	2	Science
	3	Basic Engineering
	4	Computation
	5	Related engineering discipline-specific topics		LO1 LO2
	6	The ability to apply this knowledge to solve complex engineering problems
2	Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.
3	Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.
	1	Ability to design creative solutions to complex engineering problems
	2	Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions
4	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.			LO3	LO4
5	Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.
	1	Literature research for the study of complex engineering problems
	2	Designing experiments
	3	Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results			LO5
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.
	1	Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals
	2	Awareness of the legal implications of engineering solutions
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.
	1	Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility
	2	Awareness of being impartial and inclusive of diversity, without discriminating on any subject
8	Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
	1	Ability to work individually and within the discipline
	2	Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.
	1	Ability to communicate verbally
	2	Ability to communicate effectively in writing
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
	1	Knowledge of business practices such as project management and economic feasibility analysis
	2	Awareness of entrepreneurship and innovation
11	Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.