Automotive Laboratory I (AE207) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Automotive Laboratory I AE207 1 3 0 3 4
Pre-requisite Course(s)
AE 111
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. RAHIM JAFARI
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;
  • After successful completion of this course the student will be able to: 1. define fundamental approach and concepts in experimentation, measurement system, accuracy and precision [5,6], 2. define measurement errors and solve uncertainty analysis [1,2], and 3. 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 week 1 Fundamental concepts in measurement and experimentation week 2 Generalized measurement system, accuracy and precision week 3 Uncertainty analysis, combination of uncertainties week 4 Statistical treatment of experimental data week 5 Sensors in automobile week 6 Sensors in automobile week 7 Sensor processing system week 8 Midterm 1 week 9 Sensor processing system week 10 Sensor processing system week 11 Adjustment of ignition system week 12 Project 1 week 13 Adjustment of ignition system week 14 Adjustment of ignition system week 15 Project 2 AE 111

Sources

Other Sources 1. Ders notları

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 10
Laboratory 1 25
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 2 40
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury - -
Toplam 5 100
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 Adequate knowledge of mathematics, physical sciences and the subjects specific to engineering disciplines; the ability to apply theoretical and practical knowledge of these areas in the solution of complex engineering problems. X
2 The ability to define, formulate, and solve complex engineering problems; the ability to select and apply proper analysis and modeling methods for this purpose. X
3 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; the ability to apply modern design methods for this purpose. X
4 The ability to select, and use modern techniques and tools needed to analyze and solve complex problems encountered in engineering practices; the ability to use information technologies effectively. X
5 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 The ability to work efficiently in inter-, intra-, and multi-disciplinary teams; the ability to work individually. X
7 (a) Sözlü ve yazılı etkin iletişim kurma becerisi; etkin rapor yazma ve yazılı raporları anlama, tasarım ve üretim raporları hazırlayabilme, etkin sunum yapabilme, açık ve anlaşılır talimat verme ve alma becerisi. (b) En az bir yabancı dil bilgisi; bu yabancı dilde etkin rapor yazma ve yazılı raporları anlama, tasarım ve üretim raporları hazırlayabilme, etkin sunum yapabilme, açık ve anlaşılır talimat verme ve alma becerisi. X
8 Recognition of the need for lifelong learning; the ability to access information, follow developments in science and technology, and adapt and excel oneself continuously. X
9 Acting in conformity with the ethical principles; professional and ethical responsibility and knowledge of the standards employed in engineering applications.
10 Knowledge of business practices such as project management, risk management, and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
11 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; awareness of the possible legal consequences of engineering practices.
12 (a) 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) The ability to merge and apply these knowledge in solving multi-disciplinary automotive problems. X
13 The ability to make use of theoretical, experimental, and simulation methods, and computer aided design techniques in automotive engineering field. X
14 The 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)
Laboratory 14 4 56
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 1 14
Presentation/Seminar Prepration
Project
Report
Homework Assignments 2 4 8
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 3 6
Prepration of Final Exams/Final Jury 1 3 3
Total Workload 87