AUTO409 Automotive Lab IIIstanbul 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: AUTO409
Course Name: Automotive Lab II
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
2 2 3 8
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
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 HAYRETTİN KARCI
Course Lecturer(s): Dr.Öğr.Üyesi HAYRETTİN KARCI
Course Assistants:

Course Objective and Content

Course Objectives: This is the second of a two course sequence. The purpose of the Automotive Lab course is to give students the fundamental knowledge of experimental uncertainty analysis, sensors for measuring various physical phenomena such as mechanical quantities (strain, displacement, velocity), pressure, temperature, and humidity, fluid flow rate, fluid velocity, fluid level etc and also to teach conducting experiments, analyzing experimental results, writing reports on experiments and presenting their experimental findings.
Course Content: Experimental Uncertainty Analysis.
Measurement of Solid Mechanical Quantities.
Measurement of Pressure, Temperature and Humidity.
Measuring Fluid Flow Rate, Fluid Velocity, Fluid Level, and Combustion Pollutants.
Dynamic Behaviour of Measurement Systems.
Project Presentations

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Students will be able to conduct experimental uncertainty analysis.
2) Students will learn how to measure solid mechanical quantities.
3) Students will learn how to measure pressure, temperature and humidity.
4) Students will learn how to measure fluid flow rate, fluid velocity, fluid level, and combustion pollutants.
5) Students will learn dynamic behaviour of measurement systems.
6) Students will conduct experiments and write experiment reports.
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) Uncertainity Analysis -
2) Uncertainity Analysis -
3) Uncertainity Analysis -
4) Measuring Properties of Rigid Bodies -
5) Measuring Properties of Rigid Bodies -
6) Measuring Properties of Rigid Bodies -
7) Measuring pressure, temperature and humidity. -
8) Measuring pressure, temperature and humidity. -
9) Midterm Week -
10) Measuring pressure, temperature and humidity. -
11) How to measure fluid flow, fluid velocity, fluid level and post combustion particles -
12) How to measure fluid flow, fluid velocity, fluid level and post combustion particles -
13) How to measure fluid flow, fluid velocity, fluid level and post combustion particles -
14) Dynamic Behavior of Measurement Systems -
15) Final Exam Week -

Sources

Course Notes / Textbooks: A.J. Wheeler and A.R. Ganji, Introduction to Engineering Experimentation, 3rd Edition, Pearson Education, 2010.
References: R.S. Figliola, and D.E. Beasley, Theory and Design for Mechanical Measurements, 5th Edition, Wiley, 2011.
E.O. Doebelin, Measurement Systems - Application and Design, 5th Edition, McGraw-Hill, 2004.
J.P. Holman, Experimental Methods for Engineers, 7th Edition, McGraw-Hill, 2010.
P.F. Dunn, Measurement and Data Analysis for Engineering and Science, 2nd Edition, Taylor&Francis/CRC Press, 2010.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

6

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. 1
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
Lab
Homework
Problem Solving
Project preparation

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Laboratory 1 % 10
Homework Assignments 1 % 10
Project 1 % 10
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 4 56
Laboratory 14 4 56
Project 3 10 30
Homework Assignments 8 10 80
Final 1 20 20
Total Workload 242