University subjects

Computer Science

Foundations of computer science (boolean algebra, theory of algorithms, regular languages, finite state automata, parsers)
Software engineering (Java programming language, coding techniques)
Computer networks (TCP/IP networking, ISO/OSI protocols)
Operating systems (scheduling algorithms, inter-process communication)
Computer architectures (RISC processors, pipelines, software performance benchmarking)
Distributed computing systems (remote communication paradigms, service-oriented architectures, webservices)
Databases (relational algebra, ERA modelling, SQL, multimedia DBs)
Web technologies (web standards, web languages, web design)
Computer and network security (cryptography, informatic threats, e-government, identity management)
Information systems (information workflows)
Human-machine interaction (ergonomics, interfaces design, web accessibility and usability)
Machine learning (propositional and first order logics)

Automatic controls (regulators for industrial processes, sensors, actuators)
Analog signal processing (signal acquisition, modulations, Fourier series, integral transforms)
Digital signal processing (digital filters design)

Business management (linear programming, structures of business organizations)
Innovation economics (engineering-related markets, knowledge economics, entrepreneurship, european patents)

Electronics (semiconductor devices, conditioning circuits, amplifiers, logic gates)

Calculus (differential and integral calculus in real and complex variables, differential equations, distributions theory)
Numerical algorithms (techniques for differential equations and linear systems solution)
Statistics (probability,statistical estimators, parameter identification in dynamic systems, stochastic processes)
Discrete mathematics (graphs, discrete optimization, flux algorithms)
Physics (newtonian dynamics, thermodynamics, electromagnetism, optics)