(Below, PLOs are shown as key and sub- learning outcomes.)
(In order to see the Sub-Programme Learning Outcomes (SPLOs) affiliated to Key Programme Learning Outcomes (KPLOs), please press + sign.)
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P1) Know the fundamental mathematics knowledge and theorems |
P2) Know the applications of mathematics in engineering
| P.2.1) Knowing the principles of analog and digital signal conditioning |
| P.2.2) Knowing engineering applications of basic mathematics knowledge and theorems |
| P.2.3) To understand the concept of artificial intelligence and rationality, to define the basic subjects and purposes of artificial intelligence. |
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P3) Temel bilimlerin ve teknolojinin güncel durumuna göre yenilikçi çözümler önerebilmeli
| P.3.1) Knowing basic mechatronics components |
| P.3.2) Knowing sensor characteristics |
| P.3.3) Knowing thermal sensors |
| P.3.4) Knowing to measure strain |
| P.3.5) Knowing to measure level |
| P.3.6) Knowing signal conditioning for sensors |
| P.3.7) Knowing the basic principles of electrical and electronic circuits used in vehicles and learn based on these principles |
| P.3.8) Ability to Analyze Mechatronic Control Systems |
| P.3.9) Ability to Make Mechanical Design of Mechatronic Systems |
| P.3.10) Ability to Make Electrical Design of Mechatronic Systems |
| P.3.11) Ability to Design Mechatronic System Design and Integrated Design |
| P.3.12) Ability to Design Mechatronics System Applications |
| P.3.13) Acquisition of images using a single or multiple cameras |
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P4) Know the other electromagnetic actuators and sensors, ability to choose correct components
| P.4.1) Knowing integrated mechatronic system design |
| P.4.2) Knowing the principles of actuators and sensors used in mechatronic systems |
| P.4.3) Knowing actuators in mechatronic systems |
| P.4.4) Knowing the general principles of process control |
| P.4.5) Ability to explain ignition, charging, starting, vehicle electrical systems |
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P5) Ability to do patent searching and literature research.
| P.5.1) Ability to apply algorithms and techniques in the literature to solve low, medium and high level image problems. |
| P.5.2) Having intermediate level knowledge in MATLAB and Python programming languages |
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P6) Ability to prepare report, article and technical documents, and present them
| P.6.1) Ability to write reports, papers and articles according to scientific writing rules |
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P7) Ability to propose innovative solution according to basic science and technological developments.
| P.7.1) Ability to design mechatronic systems |
| P.7.2) Ability to analyze mechatronic systems |
| P.7.3) Ability to detect and recognize objects of interest, extract motion content from image sequences, and extract three-dimensional structure information from images. |
| P.7.4) Ability to write programs that can perform image segmentation, image matching and object detection or object recognition. |
| P.7.5) Gain knowledge and practical experience in digital image processing |
| P.7.6) To be able to define search problems and to apply ignorant and intuitive search techniques to search problems. |
| P.7.7) Developing AI algorithms for difficult problems |
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P8) Know the ethics in engineering profession |
(Below, Programme Learning Outcomes are shown as classified according to the same classification used for the Turkish Qualifications Framework (TQF-HE); that is knowledge, skills and competencies.)
(In order to see the Sub-Programme Learning Outcomes (SPLOs) affiliated to Key Programme Learning Outcomes (KPLOs), please press + sign.)
