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

General course introduction information

Course Code:

PSY414

Course Name:

Selected Topics İn Experimental 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?:

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 criticize the current issues in the field of experimental psychology such as perception, attention, memory and learning; to evaluate the contributions of new developments and current applications as theoretical and methodological assessment and, to make an application in a selected area of cognitive psychology.
Course Content:	It will cover experimental psychology within the scope of cognitive 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 will be able to convey their written and verbal thoughts on solutions to memory-related problems.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
1) At the end of this course, students will be able to make explanations about memory to various audiences, and convey their thoughts, verbally and in writing, about the solution proposals for the problems.
Learning Competence
1) At the end of this course, students make applications related to memory and students in collaboration with experts from other disciplines.
Field Specific Competence
1) At the end of this course, students know and apply methods in memory research.
Competence to Work Independently and Take Responsibility
1) At the end of this course, students can follow current developments in memory as they have basic and general knowledge about memory.

Lesson Plan

Week	Subject	Related Preparation
1)	• The historical background of the body-mind problem	-
2)	• Basic principles and concepts of Information Processing Theory	Reading the required materials
3)	• Historical background of memory studies	Reading the required materials
4)	• Basic principles and concepts of multiple memory systems	Reading the required materials
5)	• Short-term and long-term memory classification	Reading the required materials
6)	• Episodic-semantic-procedural memory classification	Reading the required materials
7)	• Implicit-explicit memory classification	Reading the required materials
8)	• Implicit-explicit memory classification	Reading the required materials
9)	• Introduction of autobiographical and flash memory types	Reading the required materials
10)	• Introduction of autobiographical and flash memory types	Reading the required materials
11)	• Introduction of autobiographical and flash memory types	Reading the required materials
12)	• Introducing working memory and meta memory types	Reading the required materials
13)	• Introducing working memory and meta memory types	Reading the required materials
14)	• General evaluation	-
15)	Final Exam	Preparation for the final exam

Sources

Course Notes / Textbooks:	Ders için kaynak kitap bulunmamaktadır. İlgili alanda son dönemde yayınlanmış makalelerden yararlanılacaktır.
References:	Ders için kaynak kitap bulunmamaktadır. İlgili alanda son dönemde yayınlanmış makalelerden yararlanılacaktır.

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
Q&A / Discussion

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	12	% 20
Midterms	2	% 30
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
Homework Assignments	15	45
Quizzes	12	12
Midterms	2	6
Final	1	3
Total Workload		201