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

General course introduction information

Course Code:

ME209

Course Name:

Thermodynamics I

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	7

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 :

Dr.Öğr.Üyesi ALPER TEZCAN

Course Lecturer(s):

Assoc. Prof. MEHMET TURGAY PAMUK
Prof. Dr. İBRAHİM FAHİR BORAK
Prof. Dr. CÜNEYT EZGİ

Course Assistants:

Course Objective and Content

Course Objectives:

Basic concepts of thermodynamics, properties of pure substances, energy transfer by heat, work and mass, 1st Law of Thermodynamics in open and closed systems, 2nd Law of Thermodynamics, and Entropy. The course aims to provide an elementary knowledge on thermodynamics. At the end of the course, the students should be able to understand the terminology used in thermodynamics. Describe main thermodynamic systems. List and define the laws of thermodynamics.

Course Content:

Introduction to the course and the Basic Terminology
Introduction to Thermodynamics: Control Volumes, Temperature
Energy and Forms of Energy
First Law of Thermodynamics
Properties of Substances
Solve Problems by using Property Tables
Energy Analysis of Closed Systems
Mass and Energy Analysis of Control Volumes
Applications of Open Systems
The Second Law of Thermodynamics
Carnot Principles and Heat Engines
Entropy
Introduction to Power Cycles

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Students will learn: Introduction to Thermodynamics and Basic Concepts
2) Students will learn: Energy, Energy Transfer and General Energy Analysis
3) Students will learn Properties of Pure Substances
4) Students will learn Energy Analysis of Closed Systems
5) Students will learn Mass and Energy Analysis of Control Volumes.
6) Students will learn The Second Law of Thermodynamics
7) Students will learn Entropy and relate processes.
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 to the course and the Basic Terminology
2)	Introduction to Thermodynamics: Control Volumes, Temperature
3)	Energy and Forms of Energy
4)	First Law of Thermodynamics
5)	Properties of Substances
6)	Solve Problems by using Property Tables
7)	Energy Analysis of Closed Systems
8)	Midterm Exam
9)	Mass and Energy Analysis of Control Volumes
10)	Applications of Open Systems
11)	The Second Law of Thermodynamics
12)	Carnot Principles and Heat Engines
13)	Entropy
14)	Introduction to Power Cycles
15)	Final exam

Sources

Course Notes / Textbooks:	Thermodynamics: An Engineering Approach -Cengel
References:	Thermodynamics: An Engineering Approach -Cengel

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5	6	7
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.	4
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.	3
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.)	3
4)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.	2
5)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.	2
6)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.	2
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.	1
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.	2
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.	1
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.	3

Learning Activity and Teaching Methods

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

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Attendance	15	% 0
Quizzes	4	% 10
Homework Assignments	1	% 35
Midterms	1	% 20
Final	1	% 35
total		% 100
PERCENTAGE OF SEMESTER WORK		% 65
PERCENTAGE OF FINAL WORK		% 35
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	3	3	9
Study Hours Out of Class	14	8	112
Project	1	0	0
Homework Assignments	4	5	20
Midterms	1	10	10
Final	1	10	10
Total Workload			161