Automotive Laboratory I (AE207) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Automotive Laboratory I AE207 3. Semester 1 3 0 3 4
Pre-requisite Course(s)
(AE111 veya AE102)
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Ali EMİN
Course Assistants
Course Objectives To familiarize students with experimentation, fundamental concepts in measurement and experimentation, generalized measurement system, measurement errors and uncertainty, accuracy and precision, uncertainty analysis, combination of uncertainties, statistical treatment of experimental data, common sensors in automobile, sensor processing systems, engine parts, braking system, ignition system.
Course Learning Outcomes The students who succeeded in this course;
  • Define fundamental approach and concepts in experimentation, measurement system, accuracy and precision [5,6],
  • Define measurement errors and solve uncertainty analysis [1,2]
  • Define engine parts, braking system and ignition system of automobile [12a (v), 14]
Course Content Uncertainty analysis; basic concepts in measurement and experimentation; accuracy and precision; common sensors in automobile, sensor control systems.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Fundamental concepts in measurement and experimentation Mechanical Lab Session 1 (ML 1) Lecture notes on the Moodle
2 Generalized measurement system, accuracy and precision ML 2 Lecture notes on the Moodle
3 Uncertainty analysis, combination of uncertainties ML 3 Lecture notes on the Moodle
4 Uncertainty analysis: Using a spreedsheet ML 4 Lecture notes on the Moodle
5 Concept of Design of Experiments ML 5 Course Project Proposals Release Lecture notes on the Moodle
6 Taguchi Method ML 6 Lecture notes on the Moodle
7 Different methods for modeling dynamic systems, EL 1, Parking sensor with CAN BUS communication Lecture notes on the Moodle
8 Simscape model: Resistance & Capacitor, EL 2, DC motor speed measurement with data logging Midterm Lecture notes on the Moodle
9 EL 3, DC motor control, Project Proposal Lecture notes on the Moodle
10 Simscape model: RLC circuit, EL 4, Water flow meter Lecture notes on the Moodle
11 EL 5, Ignition and injector signal analysis, Course project Lecture notes on the Moodle
12 Simscape model: Voltage regulator, Course project Lecture notes on the Moodle
13 Course project Lecture notes on the Moodle
14 Simscape model: Suspension, Course project Lecture notes on the Moodle
15 Project presentation

Sources

Other Sources 1. Ders notları

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 14 10
Laboratory 14 20
Application 14 20
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury - -
Toplam 44 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Gains adequate knowledge of mathematics, physical sciences and the subjects specific to engineering disciplines; gains the ability to apply theoretical and practical knowledge of these areas in the solution of complex engineering problems. X
2 Gains the ability to define, formulate, and solve complex engineering problems; gains the ability to select and apply proper analysis and modeling methods for this purpose. X
3 Gains the ability to design a complex system, process, device or product under realistic constraints and conditions in such a way as to meet the specific requirements; gains the ability to apply modern design methods for this purpose. X
4 Gains the ability to select, and use modern techniques and tools needed to analyze and solve complex problems encountered in engineering practices; gains the ability to use information technologies effectively. X
5 Gains the ability to design experiments, conduct experiments, gather data, and analyze and interpret results for investigating complex engineering problems or research areas specific to engineering disciplines. X
6 Gains the ability to work efficiently in inter-, intra-, and multi-disciplinary teams; gains the ability to work individually. X
7 (a) Gains effective oral and written communication skills; gains the ability to write a report properly, understand previously written reports, prepare design and manufacturing reports, deliver influential presentations, give unequivocal instructions, and carry out the instructions properly. (b) Gains the knowledge of, at least, one foreign language; gains the ability to write a report properly, understand previously written reports, prepare design and manufacturing reports, deliver influential presentations, give unequivocal instructions, and carry out the instructions properly in this foreign language. X
8 Gains awareness of the need for lifelong learning; gains the ability to access information, follow developments in science and technology, and adapt and excel oneself continuously. X
9 Gains knowledge about acting in conformity with the ethical principles, professional and ethical responsibility and knowledge of the standards employed in engineering applications.
10 Gains knowledge of business practices such as project management, risk management, and change management; gains awareness of entrepreneurship and innovation; knowledge of sustainable development.
11 Gains knowledge of the global and social effects of engineering practices on health, environment, and safety issues, and knowledge of the contemporary issues in engineering areas; gains awareness of the possible legal consequences of engineering practices.
12 (a) Gains knowledge of (i) fluid mechanics, (ii) heat transfer, (iii) manufacturing process, (iv) electronics and control, (v) vehicle components design, (vi) vehicle dynamics, (vii) vehicle propulsion/drive and power systems, (viii) technical laws and regulations in automotive engineering field, and (ix) vehicle verification tests. (b) Gains the ability to merge and apply these knowledge in solving multi-disciplinary automotive problems. X
13 Gains the ability to make use of theoretical, experimental, and simulation methods, and computer aided design techniques in automotive engineering field. X
14 Gains he ability to work in the field of vehicle design and manufacturing. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 1 14
Laboratory 14 3 42
Application 5 1 5
Special Course Internship
Field Work
Study Hours Out of Class 14 1 14
Presentation/Seminar Prepration
Project 1 22 22
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 4 4
Prepration of Final Exams/Final Jury
Total Workload 101