Information Package / Course Catalogue
| Mechatronics and Robotics Engineering (English) (Thesis) | |||||
| Master | Length of the Programme: 2 | Number of Credits: 120 | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF: Level 7 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Graduate School | ||||
| Course Code | MECH 533 | ||||
| Course Title in English | Automotive Electronics and Control Systems | ||||
| Course Title in Turkish | Otomotiv Elektroniği ve Kontrol Sistemleri | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Intermediate | ||||
| Semester | |||||
| Contact Hours per Week |
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| Estimated Student Workload | 188 hours per semester | ||||
| Number of Credits | 7.5 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites | None | ||||
| Expected Prior Knowledge | None | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only Graduate Students | ||||
| Overall Educational Objective | To learn and apply basic principles of Automotive electronics and autonomous driving concerns and trends | ||||
| Course Description | This course introduces electronic communication systems, sensors and control systems used in vehicles. Topics covered in this course: Electronic sensors and interfaces used in automotive, sensor data fusion methods, CAN Ethercat communication protocols used for in-vehicle data communication, automotive diagnostic systems. | ||||
| Course Description in Turkish | Bu ders otomotivde kullanılan elektronik haberleşme sistemleri, sensörler ve kontrol sistemlerini tanıtır. Ele alınan konular şunlardır: Otomotivde kullanılan elektronik sensörler ve ara birimleri, sensör veri birleştirme yöntemleri, taşıt içinde veri iletişimi için kullanılan CAN Ethercat haberleşme protokolleri, otomotiv tanı sistemleri. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Explain the fundamental electronic components used in automotive; 2) Interpret state of the art electronic hardware systems and communication networks in vehicles 3) Design the block diagram of an ECU; 4) Analyze environmental, safety, security, cost and reliability concerns for autonomous driving 5) Introduce an autonomous driving sub-system to a technical community. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 1) An ability to develop and deepen one's knowledge in the field of mechatronics and robotics engineering at the level of expertise based on acquired undergraduate level qualifications. | |||||
| 2) An ability to acquire scientific and practical knowledge in mechatronics and robotics. | |||||
| 3) A comprehensive knowledge about analysis and modeling methods in mechatronics and their limitations. | |||||
| 4) An ability to design and apply analytical, modeling and experimental based research by analyzing and interpreting complex situations encountered in the design process. | |||||
| 5) An ability to transmit the process and results of the work of mechatronics and robotics systems systematically and clearly in written and oral form in national and international environments. | |||||
| 6) An ability to recognize social, scientific and ethical values in the stages of designing and realizing mechatronics and robotic systems and in all professional activities. | |||||
| 7) An ability to follow new and developing practices in the profession and to apply them in their work. | |||||
| 8) An ability to take leadership in multi-disciplinary teams, taking responsibility in the design and analysis of mechatronics and robotic systems in complex situations. | |||||
| 9) An ability to communicate verbally and in writing in English at least at the level of B2 of European Language Portfolio. | |||||
| 10) An understanding of the social and environmental aspects of mechatronics and robotics applications. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | An ability to develop and deepen one's knowledge in the field of mechatronics and robotics engineering at the level of expertise based on acquired undergraduate level qualifications. | H | |
| 2) | An ability to acquire scientific and practical knowledge in mechatronics and robotics. | H | |
| 3) | A comprehensive knowledge about analysis and modeling methods in mechatronics and their limitations. | H | |
| 4) | An ability to design and apply analytical, modeling and experimental based research by analyzing and interpreting complex situations encountered in the design process. | H | |
| 5) | An ability to transmit the process and results of the work of mechatronics and robotics systems systematically and clearly in written and oral form in national and international environments. | N | |
| 6) | An ability to recognize social, scientific and ethical values in the stages of designing and realizing mechatronics and robotic systems and in all professional activities. | S | |
| 7) | An ability to follow new and developing practices in the profession and to apply them in their work. | H | |
| 8) | An ability to take leadership in multi-disciplinary teams, taking responsibility in the design and analysis of mechatronics and robotic systems in complex situations. | S | |
| 9) | An ability to communicate verbally and in writing in English at least at the level of B2 of European Language Portfolio. | S | |
| 10) | An understanding of the social and environmental aspects of mechatronics and robotics applications. | H |
| Prepared by and Date | TUBA AYHAN , |
| Course Coordinator | TUBA AYHAN |
| Semester | |
| Name of Instructor | Asst. Prof. Dr. TUBA AYHAN |
Course Contents
| Week | Subject |
| 1) | Introduction to ECU |
| 2) | Fundamental components of automotive |
| 3) | EE circuits |
| 4) | EE circuits |
| 5) | Microcomputer instrumentation and control |
| 6) | Sensors for driving |
| 7) | In Vehicle communications |
| 8) | Security issues in in-vehicle communications |
| 9) | Classification and concerns in autonomous vehicles and ADAS |
| 10) | Localization and Mapping |
| 11) | V2X communication |
| 12) | Object detection and tracking |
| 13) | Decision making for AV |
| 14) | EV fundamentals |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Understanding automotive electronics: an engineering perspective, Ribbens, William B. Wilfried Voss - A Comprehensible Guide to Controller Area Network (2008) (Unmanned System Technologies) Mingfang Du - Autonomous Vehicle Technology_ Global Exploration and Chinese Practice-Springer (2022) | ||||||||||||
| Teaching Methods | |||||||||||||
| Homework and Projects | Each week is supported by short term assignments, followed by a term report. | ||||||||||||
| Laboratory Work | |||||||||||||
| Computer Use | Matlab, AUTOSAR and any other high level tools to analyze autonomous driving algorithms. | ||||||||||||
| Other Activities | |||||||||||||
| Assessment Methods |
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| Course Administration |
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ECTS Student Workload Estimation
| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 2 | 3 | 2 | 98 | ||
| Project | 1 | 15 | 3 | 2 | 20 | ||
| Homework Assignments | 10 | 0 | 5 | 2 | 70 | ||
| Total Workload | 188 | ||||||
| Total Workload/25 | 7.5 | ||||||
| ECTS | 7.5 | ||||||