PSY426 Trafffic PsychologyIstanbul Okan UniversityDegree Programs Automotive Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Automotive Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: PSY426
Course Name: Trafffic Psychology
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 7
Language of instruction:
Course Requisites:
Does the Course Require Work Experience?: No
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):
Course Assistants:

Course Objective and Content

Course Objectives: The aim of this course is to define the basic concepts, approaches and techniques and psychological assessment practices in the field of traffic psychology.
Course Content: Definitions, concepts and basic issues related to traffic psychology.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) At the end of this course, students know the methods of traffic psychology.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility
1) At the end of this course, students can follow current developments in traffic psychology as they have basic and general knowledge of the field of traffic psychology.
2) At the end of this course, students will be able to convey their written and verbal thoughts on solutions to problems related to traffic psychology.
3) At the end of this course, students will be able to explain traffic psychology to various audiences, and convey their thoughts, verbally and in writing, about possible solutions to problems.
4) At the end of this course, students make applications related to traffic psychology in cooperation with experts from other disciplines.

Lesson Plan

Week Subject Related Preparation
1) Introduction to traffic psychology -
2) Applications of traffic psychology Reading the required materials
3) Safe driver behavior Reading the required materials
4) Ensuring people's happiness in traffic Reading the required materials
5) Ensuring people's trust in traffic Reading the required materials
6) The importance of traffic psychology in maintaining the order of the traffic system Reading the required materials
7) Traffic psychology practices in different countries Reading the required materials
8) Programs for drunk drivers in Europe Reading the required materials
9) Information from psychotechnical evaluations Reading the required materials
10) Information from psychotechnical evaluations Reading the required materials
11) Driver development programs to reintegrate the people who caused the accident into society. Reading the required materials
12) Driver development programs to reintegrate the people who caused the accident into society. Reading the required materials
13) Driver development programs to reintegrate the people who caused the accident into society. Reading the required materials
14) General evaluation Reading the required materials
15) Final Exam Preparing for the final exam

Sources

Course Notes / Textbooks: Bu derse ait kaynak kitap bulunmamaktadır. Kaynak olarak, konuyla ilgili son dönemde yayınlanmış makalelerden yararlanılacaktır.
References: Bu derse ait kaynak kitap bulunmamaktadır. Kaynak olarak, konuyla ilgili son dönemde yayınlanmış makalelerden yararlanılacaktır.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

4

5

3

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
Group study and homework
Reading
Homework
Problem Solving
Q&A / Discussion
Case Study

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Observation
Presentation

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 Workload
Course Hours 15 45
Study Hours Out of Class 15 45
Presentations / Seminar 15 45
Project 15 30
Homework Assignments 15 45
Midterms 2 6
Final 1 3
Total Workload 219