Automotive Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

PSI356

Course Name:

Industrial Psychology

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	6

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi ZEYNEP HALE AKSUNA

Course Lecturer(s):

Öğr.Gör. SERİN İŞİAÇIK

Course Assistants:

Course Objective and Content

Course Objectives:

The purpose of this course is to teach the students the basic principles of Industrial and Organizational Psychology and how the psychological and psychometrical theories are applied at work and organizational settings. It is also aimed to enable students for gaining the necessary competencies for understanding the workplace problems from psychological point of view in a way that at least they can make basic suggestions on the solutions of behavior related problems. Moreover they are informed in detail with the necessary psychometric properties of the Psychological Assessment tools that are used in work settings and the ethical issues related with these tools.

Course Content:

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Learn about the historical development and the contemporary approaches of industrial psychology
2) Understand how the theories and findings of psychology are applied to work life
3) Gain the necessary information and capabilities for considering the work place problems from the perspective of industrial and organizational psychology.
4) Learn the basic psychometric principles for evaluating the measurement tools used in HR decisions
5) Be competent enough to offer basic suggestions related with employee motivation and satisfaction problems.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Introduction	Lecturer's notes and related articles
2)	Classical Management Approach: Taylorism and Fordism and important scholars like Fayol, Bernard etc. and development of Human Relations Approach from Hawthorne Studies to Maslow and Lewin	Lecturer's notes and related articles
3)	System Approach, Contingency Theories, Quality of Work Life Movement, Total Quality Management, Learning Organizations	Lecturer's notes and related articles
4)	The importance of Person-Job and Person-Organization Fit	Lecturer's notes and related articles
5)	All topics studied through 4 weeks	Lecturer's notes and related articles
6)	Internal and external recruitment Cognitive Ability Tests, Physical Ability Tests, Psychomotor and Perceptual Ability Tests Big Five model and Personality Inventories	Lecturer's notes and related articles
7)	The importance of employee motivation Need theories (Maslow, Alderfer, McClelland) Two Factor Theory, Reinforcement Theory, Equity Theory	Lecturer's notes and related articles
8)	Expectancy Theory Cognitive Evaluation Theory Goal Setting Theory Control Theories (Sybernetic and Rational Control Theories) Bandura's Social Cognive Theory (Social Learning Theory), different forms of efficacy beliefs	Lecturer's notes and related articles
9)	All topics studied through 8 weeks	Lecturer's notes and related articles
10)	Participation and Empowerment Job Enrichment Job enlargement Job Rotation Flextime job arrangements/schedules Enabling Work-Life Balance and quality of life Measuring job satisfaction through surveys	Lecturer's notes and related articles
11)	The importance of employee training Methods of needs analysis Different training methods and evaluating pre and cons of these metods Training Evaluation Methods Kirkpatrick and Philips' studies	Lecturer's notes and related articles
12)	The importance of Performance Management Methods of appraisals Selecting criteria for performance appraisal Criterion Contamination, Criterion Deficiency, Criterion Relevancy Different scales and methods Behavioraly oriented scales (BARS, BOS, BSS, MSS)	Lecturer's notes and related articles
13)	Trait theories Behavior Theories Contingency Theories Power and Influence Theories GLOBE study	Lecturer's notes and related articles
14)	Stage theories of organizational change Learning Organizations Mergers and Acquisitions	Lecturer's notes and related articles
15)	All topics studied through 14 weeks	Lecturer's notes and related articles

Sources

Course Notes / Textbooks:	Dersin öğretim görevlisinin notları ve ilgili makaleler
References:	Dersin öğretim görevlisinin notları ve ilgili makaleler

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3)	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7)	Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9)	Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10)	Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11)	Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12)	Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

Learning Activity and Teaching Methods

Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Lesson
Reading
Homework

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Oral Examination
Homework
Individual Project

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	2	% 50
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	16	3	48
Presentations / Seminar	1	24	24
Homework Assignments	1	24	24
Midterms	1	24	24
Final	1	48	48
Total Workload			168