ELECTRICAL - ELECTRONICS ENGINEERING DOCTORAL GRADUATE PROGRAM
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NO |
LEARNING OUTCOMES (PhD) |
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LO 1 |
AbIlIty to apply knowledge of mathematIcs, basIc scIences and engIneerIng In expertIse level In ElectrIcal-ElectronIcs EngIneerIng and other related areas. |
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LO 2 |
DevelopIng new and orIgInal Ideas and methods; abIlIty to develop InnovatIve/alternatIve solutIons In system, component or process desIgn. |
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LO 3 |
AbIlIty to desIgn, plan, manage, fInalIze, and Implement InnovatIve multI-dIscIplInary works |
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LO 4 |
AbIlIty to present and publIsh academIc studIes In any academIc envIronment |
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LO 5 |
AbIlIty to use a foreIgn language at an advanced level, abIlIty to communIcate In oral and wrItten forms. |
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LO 6 |
AbIlIty to make crItIcal analysIs, synthesIs and evaluatIon of Ideas and developments In the area of work. |
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LO 7 |
Advanced level of ProfessIonal and ethIcal responsIbIlIty. |
COURSE CONTRIBUTIONS TO THE LEARNING OUTCOMES
| LO-1 | LO-2 | LO-3 | LO-4 | LO-5 | LO-6 | LO-7 | |
| SCIENTIFIC RESEARCH METHODS AND ETHICS | ✓ | ✓ | |||||
| PhD THESIS STUDY | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| PhD PROFICIENCY | ✓ | ||||||
| PhD SEMINAR | ✓ | ✓ | |||||
| BIOMEDICAL PATTERN RECOGNITION | ✓ | ✓ | ✓ | ||||
| SPECIALIZATION FIELD COURSE (PhD) | |||||||
| APPLIED COMPUTER VISION FOR ROBOTICS | ✓ | ✓ | |||||
| INTRODUCTION TO ROBOTICS | ✓ | ✓ | ✓ | ||||
| MACHINE LEARNING FOR COMPUTER VISION APPLICATIONS | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| BIOMEDICAL SIGNAL PROCESSING AND MODELLING | ✓ | ✓ | ✓ | ||||
| DIFFRACTION THEORY | ✓ | ✓ | ✓ | ||||
| ROBOT PATH PLANNING | ✓ | ✓ | ✓ | ✓ | |||
| NONLINEAR PROGRAMMING FOR ENGINEERING SCIENCES | ✓ | ✓ | ✓ | ||||
| CONTROL OF ROBOTIC MANIPULATORS | ✓ | ✓ | ✓ | ||||
| ANALYTICAL METHODS IN ELECTROMAGNETIC THEORY | ✓ | ✓ | ✓ |