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You are here: Home en Syllabuses (2020) Faculty of Engineering Electrical and Electronic Engineering

Electrical and Electronic Engineering

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Lectures
ntenna and Propagation Engineering
System Optimization
Digital Signal Processing
Digital Control
Digital Circuits
Power Electronics
Plasma Engineering
Microwave Engineering
Introduction of Mechatronics
Fundamentals of Optical Engineering 1
Fundamentals of Optical Engineering 2
Optical Communications
Optoelectronic Devices
Semiconductor Engineering
Solid-State Electronics
Applied Electric Power Engineering
Applied Electric Machinery
Information Transmission
Information Theory
Information and Communication Engineering
Electric Discharge and Breakdown
Fundamentals of Electron Physics and Devices
Graduation Thesis
Electrical and Electronic Engineering in Biomedical Applications
Basics of Biomedical Engineering
Vacuum Electronic Engineering
Embedded Computer Systems
Control Engineering
Computer Software
Computer Hardware Design
Logic Circuits
Telecommunication Networks
Integraged Circuits Engineering
Power System Engineering
Solid State Physics and Engineering
Electrical Conduction in Condensed Matter
Electric Circuits
Electric Machinerys Fundamentals
Laws and Regulations of Electric Power Engineering
Exercise of Computer Programming in Electrical and Electronic Engineering
Electric and Electronic Circuits
Exercise of Electric and Electronic Circuits
Theory of Quantum for Electrical and Electronic Engineering
Fundamental Practice of Electrical & Electronic Engineering
Advanced Practice of Electrical and Electronic Engineering
Practice of Electrical and Electronic Engineering
Introducion to Elecrical and Electronic Engineering
Mathematics for Electrical and Electronic Engineering 1
Mathematics for Electrical and Electronic Engineering 2
Electrical and Electronic Materials
Electric and Electronic Measurement
Computational Methods and Exercise in Electrical and Electronic Engineering
Radio Engineering
Laws and Regulations of Radio Wave Engineering
Electromagnetic Theory 1
Electromagnetic Theory 2
Machine Learning