ECTS - Basic Communication and Computational Tools for Automotive Engineers

Basic Communication and Computational Tools for Automotive Engineers (AE112) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Basic Communication and Computational Tools for Automotive Engineers AE112 2 2 0 3 3
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Question and Answer, Drill and Practice.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Hüseyin OYMAK
Course Assistants
Course Objectives This course aims that the student acquires basic, and essential, computational skills via MS EXCEL® and MATLAB®, and basic interactive control skills via ARDUINO®.
Course Learning Outcomes The students who succeeded in this course;
  • work with the basic features of MS EXCEL®,
  • recognize the basic MATLAB® environment, and employ MATLAB® for basic symbolic and numerical mathematical operations (solving equations, derivation and integration, plotting, statistical calculations, etc.), and
  • identify, describe, and apply basic ARDUINO® platforms, language, and library.
Course Content MS EXCEL®, MATLAB®, and ARDUINO®.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Basic features of MS EXCEL® Lecture notes and presentations on MOODLE website
2 Essential features of MS EXCEL® - Part I Lecture notes and presentations on MOODLE website
3 Essential features of MS EXCEL® - Part II Lecture notes and presentations on MOODLE website
4 Some advanced features of MS EXCEL® - Part I Lecture notes and presentations on MOODLE website
5 Some advanced features of MS EXCEL® - Part II Lecture notes and presentations on MOODLE website
6 MATLAB environment, vectors and matrices McMahon, Chapters 1 and 2
7 Plotting and graphics McMahon, Chapter 3
8 Handling probability and statistics with MATLAB, solving algebraic equations McMahon, Chapters 4 and 5
9 Basic symbolic calculus, integration McMahon, Chapters 6 and 8
10 Identifying the Arduino board Shiloh, Chapter 1
11 Introduction to Arduino Platform (Fundamental Applications on the Board) Shiloh, Chapters 2 and 3
12 The usage of sensors with Arduino Shiloh, Chapter 4
13 Arduino Project with the sensors and LEDs Shiloh, Chapter 4
14 Arduino Project with the sensors and LEDs (cont'd) Shiloh, Chapter 4
15 Final Exam

Sources

Course Book 1. Mastering Microsoft Office Made Easy, versions 2010 through 97, TeachUcomp.
2. MATLAB Demystified, D. McMahon, Mc Graw Hill.
3. Getting started with Arduino, by M. Shiloh and M. Banzi, Maker Media.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 7
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 6 18
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 3 45
Final Exam/Final Jury - -
Toplam 11 100
Percentage of Semester Work 100
Percentage of Final Work 0
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.
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.
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.
6 The ability to work efficiently in inter-, intra-, and multi-disciplinary teams; the ability to work individually.
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.
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.
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.
14 The ability to work in the field of vehicle design and manufacturing.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 4 56
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 1 14
Presentation/Seminar Prepration
Project 1 5 5
Report
Homework Assignments 6 1 6
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 3 2 6
Prepration of Final Exams/Final Jury
Total Workload 87