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 |
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Basic Communication and Computational Tools for Automotive Engineers | AE112 | 2. Semester | 2 | 2 | 0 | 3 | 3 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Compulsory Departmental Courses |
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 Lecturer(s) |
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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;
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Course Content | MS EXCEL®, MATLAB®, and ARDUINO®. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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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. |
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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 |
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Attendance/Participation | 1 | 5 |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 4 | 20 |
Presentation | - | - |
Project | 1 | 35 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 2 | 40 |
Final Exam/Final Jury | - | - |
Toplam | 8 | 100 |
Percentage of Semester Work | 100 |
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Percentage of Final Work | 0 |
Total | 100 |
Course Category
Core Courses | X |
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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 | ||||
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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 |
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Course Hours (Including Exam Week: 16 x Total Hours) | 14 | 4 | 56 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 8 | 1 | 8 |
Presentation/Seminar Prepration | |||
Project | 1 | 10 | 10 |
Report | |||
Homework Assignments | 4 | 1 | 4 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 3 | 2 | 6 |
Prepration of Final Exams/Final Jury | |||
Total Workload | 84 |