Curriculum

Course Code Course Name Credit Theoretical Lab/Practical ECTS
EELE501 NUMERICAL LINEAR ALGEBRA 3 3 0
EELE502 CIRCUITS AND SYSTEMS ANALYSIS 3 3 0
EELE5X1 ELECTIVE I 3 3 0
EELE5X2 ELECTIVE II 3 3 0
EELE5X3 ELECTIVE III 3 3 0
EELE5X4 ELECTIVE IV 3 3 0
EELE5X5 ELECTIVE V 3 3 0
EELE5X6 ELECTIVE VI 3 3 0
EELE5X7 ELECTIVE VII 3 3 0
EELE5X8 ELECTIVE VIII 3 3 0
Course Code Course Name Credit Theoretical Lab/Practical ECTS
EELE580 TERM PROJECT 0 0 0 0
DÖNEM PROJESİ
Course Code Course Name Credit Theoretical Lab/Practical ECTS
EMNT525 RESEARCH METHODS 3 3 0 0
EELE566 SELECTED TOPICS IN DIGITAL COMMUNICATIONS 3 3 0 0
EELE534 NUMERICAL METHODS IN ELECTROMAGNETICS 3 3 0 0
EELE561 ADVANCED COMMUNICATION SYSTEMS 3 3 0 0
EMNT503 PROJECT SCHEDULING 3 3 0 0
ENRE507 SOLAR POWER DESIGN 3 3 0 0
EELE582 PHOTOVOLTAIC SYSTEMS 3 3 0 0
Introduction to photovoltaic (PV) systems. Solar energy potential for PV, irradiance, solar radiation and spectrum of sun, geometric and atmospheric effects on sunlight. Solar cells, basic structure and characteristics: Single-crystalline, multi-crystalline, thin film silicon solar cells, emerging new technologies. Electrical characteristics of the solar cell, mathematical model and equivalent circuit, modeling of solar cells including the effects of temperature, irradiation and series/shunt resistances on the open-circuit voltage and short-circuit current. Solar cell arrays, PV modules, PV generators, shadow effects and bypass diodes, hot spot problem in a PV module and safe operating area. Terrestrial PV module modeling. Interfacing PV modules to loads, direct connection of loads to PV modules, connection of PV modules to a battery and load together. Energy storage alternatives for PV systems.
EELE568 ANALOG FILTER DESIGN 3 3 0 0
EELE581 SOLAR - THERMAL ENERGY AND ITS APPLICATIONS 3 3 0 0
EELE555 HIGH VOLTAGE UNDERGROUND CABLES 3 3 0 0
ENRE512 INTEGRATION OF RENEWABLES 3 3 0 0
ENRE533 FUNDAMENTALS OF ENERGY SYSTEMS OPTIMIZATION 3 3 0 0
EELE563 APPROXIMATION THEORY 3 3 0 0
EMNT502 TOTAL QUALITY MANAGEMENT 3 3 0 0
ENRE501 ENERGY - PAST, PRESENT & FUTURE 3 3 0 0
ENERJİ - GEÇMİŞ, BUGÜN & GELECEK
BIOE507 BIOSENSORS 3 3 0 0
This course will cover the principles, technologies, methods and applications of biosensors and bioinstrumentation. The objective of this course is to link engineering principles to understanding of biosystems in sensors and bioelectronics. It will provide the student with detail of methods and procedures used in the design, fabrication and application of biosensors and bioelectronic devices. The fundamentals of measurement science are applied to optical, electrochemical, mass, and pressure signal transduction. Upon successful completion of this course, students are expected to be able to explain biosensing and transducing techniques, design and construct biosensors instrumentation.
CMPE501 PROGRAMMING LANGUAGES 3 3 0 0
Brief historical perspective. Understanding and using Integrated Development Environment (IDE). Java basics, introduction to graphical user interfaces (GUI) for Java, using Swing Components and Java Listeners, Swing dialogue boxes, developing GUI applications, theory of Object Oriented Programming with Unified Modeling Language (UML). Object-Oriented (OO) problem solving, Object-Oriented (OO) concepts (inheritance, composition, abstract classes etc.), object relations, developing Object-Oriented (OO) applications with design patterns, Unit Testing, Project Presentations.
EELE532 ADVANCED ANTENNA THEORY 3 3 0 0
ENRE502 TECHNO-ECONOMICAL ANALYSIS OF ENERGY APPLICATIONS 3 3 0 0
CMPE511 COMPUTER ARCHITECTURE 3 3 0 0
Pushing a single processor to its limits. Instruction set design and its effect on computer performance. micro-programming. Addressing techniques. Memory hierarchy. Associative, virtual and cache memory. Memory management. Interrupts, DMA and channels. Comparative study of commercial computer architecture.
EELE558 POWER SYSTEM PROTECTION AND CONTROL 3 3 0 0
ENRE535 SMART POWER GRIDS 3 3 0 0
EELE526 DIGITAL IMAGE PROCESSING 3 3 0 0
EELE544 ADVANCES ON VLSI DESIGN 3 3 0 0
EMNT515 COMPUTER AIDED DATA ANALYSIS 3 3 0 0
EELE557 POWER SYSTEM HARMONICS 3 3 0 0
EEE464 WIRELESS COMMUNICATION SYSTEMS 0 0 0 0
EEE362 COMMUNICATION SYSTEMS 0 0 0 0
CMPE545 ARTIFICIAL NEURAL NETWORKS 3 3 0 0
Introduction to cognitive science. Parallel, distributed problems. Constraint satisfaction. Liopfield model. Supervised vs. unsupervised learning. Single vs. multi-layer perceptions. Static vs. dynamic network architecture. Comparison of neural approaches with parametric and non-parametric statistical methods. Neural network applications.