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

General course introduction information

Course Code:

PSY306

Course Name:

Independent Study

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
2	2	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):

Dr.Öğr.Üyesi NUMAN TURAN

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to provide the student with necessary knowledge and skills to conduct an independent research project. In this course students will learn how to formulate a research question, conduct literature review, present a research proposal, collect and analyze data, and write a research paper adhering to the Publication Manual of the American Psychological Association.
Course Content:	The course is based on practice and basically covers teaching research methods and processes in practice.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
1) At the end of this course, students will have the ability to express critical thinking in a constructive way.
Learning Competence
1) At the end of this course, students demonstrate an approach to understanding people with their psychological and social aspects.
Field Specific Competence
1) At the end of this course, students will be able to write scientific articles and discuss the results by interpreting them.
Competence to Work Independently and Take Responsibility
1) At the end of this course, students will be able to independently conduct scientific research in the field of psychology.
2) At the end of this course, students can follow current developments in this field.

Lesson Plan

Week	Subject	Related Preparation
1)	Introduction: Research Patterns	-
2)	Forming a Research Question and Hypotheses	Reading the required materials
3)	Literature Review	Reading the required materials
4)	Critical Evaluation in Psychological Research Presentation and Evaluation of Research Proposals	Preparing research proposal
5)	Sampling and Data Collection Methods	Reading the required materials
6)	Evaluation of Scales to be Used for Projects	Reading the required materials
7)	Introduction to Data Collection / Research Reporting for Projects	Reading the required materials
8)	Introduction to Data Collection / Research Reporting for Projects	Reading the required materials
9)	Methodology for Data Collection / Research Reporting for Projects	Reading the required materials
10)	Data analysis	Reading the required materials
11)	Data analysis	Reading the required materials
12)	Results and Discussion in Reporting the Research	Reading the required materials
13)	Presentation of Students' Projects	Preparing for the presentations
14)	Presentation of Students' Projects	Preparation for the presentations
15)	Final Exam

Sources

Course Notes / Textbooks:

• Meltzoff, J. (1998). Critical Thinking about Research. Washington DC. : American Psychological Association.
• Amerikan Psikoloji Derneği Yayım Kılavuzu (5. Baskı). Çev. Cenk Pamay. İstanbul: Kaknüs Yayınları.
• Breakwell, G.M., Hammond, S., Fife-Schaw, C. & Smith, J.A. (Eds.)(2006). Research Methods in Psychology.(3rd ed.). Sage: London.
• Field, A. (2009). Discovering statistics using SPSS (3rd ed.) London: Sage.

References:

Course-Program Learning Outcome Relationship

Learning Outcomes	1	5	2	3	4
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
Problem Solving
Project preparation
Report Writing
Q&A / Discussion

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Application
Individual Project
Presentation
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 25
Midterms	1	% 25
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
Application	15	30
Study Hours Out of Class	15	45
Presentations / Seminar	2	6
Project	2	6
Homework Assignments	15	30
Midterms	1	3
Final	1	3
Total Workload		168