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

General course introduction information

Course Code:

AUTO497

Course Name:

Automotive Engineering Design

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
0	2	1	4

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

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 :

Assoc. Prof. MEHMET TURGAY PAMUK

Course Lecturer(s):

Dr.Öğr.Üyesi MEHMET TEVFİK ÇOBANOĞLU
Dr.Öğr.Üyesi HAYRETTİN KARCI
Dr.Öğr.Üyesi SINA MOJTAHEDI
Dr.Öğr.Üyesi ELİF ALTÜRK
Assoc. Prof. MEHMET TURGAY PAMUK

Course Assistants:

Course Objective and Content

Course Objectives:	The purpose of the Graduation Project course at Okan University includes; Final project of mechanical engineering. The project will be done with guidance from a supervisor.
Course Content:	The purpose of the Graduation Project course at Okan University includes; Final project of mechanical engineering. The project will be done with guidance from a supervisor.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Students will be able to make interdisciplinary teamwork.
2) Students will be able to select appropriate materials, methods and tools for engineering problem.
3) Students will be able to explain the results and findings of the study on the engineering problem with a technical report.
4) Students will be able to consider the protection of intellectual property rights and social and ethical results in the solution of engineering 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)	Preparation for the graduation project.	-
2)	Preparation for the graduation project.	-
3)	Preparation for the graduation project.	-
4)	Preparation for the graduation project.	-
5)	Preparation for the graduation project.	-
6)	Preparation for the graduation project.	-
7)	Preparation for the graduation project.	-
8)	Preparation for the graduation project.	-
9)	Preparation for the graduation project.	-
10)	Preparation for the graduation project.	-
11)	Preparation for the graduation project.	-
12)	Preparation for the graduation project.	-
13)	Preparation for the graduation project.	-
14)	Preparation for the graduation project.	-
15)	Presentation of preparation for the graduation project.	-

Sources

Course Notes / Textbooks:	Dieter/Schmidt, Engineering Design 5e. ©2013. The McGraw-Hill Companies
References:	Bulunmamaktadır.

Course-Program Learning Outcome Relationship

Learning Outcomes	1	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.	5
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.	4
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
4)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.	5
5)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.	1
6)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.	1
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.	5
8)	Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.	5
9)	Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.	5
10)	Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.	1
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.	4
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.	4

Learning Activity and Teaching Methods

Field Study
Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Lesson
Group study and homework
Reading
Homework
Problem Solving
Project preparation
Report Writing
Seminar
Q&A / Discussion
Thesis Preparation
Application (Modelling, Design, Model, Simulation, Experiment etc.)
Web Based Learning

Assessment & Grading Methods and Criteria

Oral Examination
Individual Project
Group project
Presentation
Reporting
Tez Sunma
Uzman / Jüri Değerlendirmesi

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 60
Final	1	% 20
Paper Submission	1	% 20
total		% 100
PERCENTAGE OF SEMESTER WORK		% 80
PERCENTAGE OF FINAL WORK		% 20
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Study Hours Out of Class	13	4	52
Presentations / Seminar	1	30	30
Paper Submission	1	30	30
Total Workload			112