• Explain the fundamental concepts, capabilities, and limitations of generative AI and large language models.
• Identify and compare AI tools used for learning, research, communication, content creation, employability, and innovation.
• Apply appropriate AI tools to academic and professional tasks, including research, writing, presentations, brainstorming, and project development.
• Evaluate the accuracy, reliability, bias, and suitability of AI-generated outputs critically.
• Apply ethical principles related to academic integrity, transparency, privacy, copyright, and responsible AI use.
• Design and develop digital content using AI-supported tools, including presentations, websites, images, videos, and customized chatbots.
• Formulate effective prompts and refine interactions with AI systems to produce relevant and context-appropriate results.
• Collaborate effectively in multicultural and international virtual teams using digital communication and project-management platforms.
• Plan and organize an international online or hybrid academic event using appropriate project-management methods and digital tools.

• Understanding the principles, capabilities and limitations of generative AI and large language models.
• Selecting and comparing AI tools according to specific academic, professional and creative needs.
• Critically evaluating AI-generated content for accuracy, reliability, bias, relevance and quality.
• Applying ethical, transparent and responsible practices when using AI, particularly regarding academic integrity, privacy and copyright.
• Using AI tools effectively for research, writing, learning, communication, employability and problem-solving.
• Designing effective prompts and refining interactions with AI systems to achieve appropriate outcomes.
• Creating AI-supported digital outputs, including presentations, websites, images, videos and customized chatbots.

• AI Fundamentals.
• How to think about using AI - the concept of fusion skills.
• Learn how to prompt.
• AI responsible use.
• AI tools for presentation purposes.
• AI tools for research communication.
• AI tools for career development purposes.
• AI as an evaluator of your work.
• AI tools for vibe coding.
• How to create your chatbot.

• Distributed Lecture Notes

The course introduces the students to the fundamental of plasma and the applications of plasma technology. After completing the course, the student will be able to:

• understand the plasma phase of the matter, the unique properties it has and the different types of plasmas.
• calculate/evaluate basic plasma parameters
• mention the different formulations of plasma description and where could be applied
• recognize the different type of waves that could develop/propagate in plasmas and their properties
• have knowledge of the different technologies of plasma sources and their properties
• describe various plasma applications and choose the proper plasma sources
• use proper diagnostics for plasma sources characterization
• mention and describe the various type of dense plasma generators and their applications.

Decision-making, Independent work, Exercising criticism and self-criticismm Generating new research ideas, Promoting free, creative and inductive thinking

• Introduction to plasma: definitions, properties, Debye shielding, temperatures- densities, types of plasmas, plasma frequency.
• Plasma descriptions: particle motion, kinetic description, two-fluid description, magneto-hydrodynamic (MHD) description, ideal-MHD, plasma conductivity.
• Waves in plasma: waves in non-magnetized plasma, phase velocity, refractive index, critical density. Waves in magnetized plasma, cutoff-resonance, MHD waves.
• Plasma sources: electric discharge tubes, plasma torch, corona discharge, Dielectric Barrier discharge, RF discharge, Microwave discharge. Electron beam plasmas. Laser plasmas.
• Plasma applications: Material processing, nanolithography, plasma antennas, plasma monitor, plasma thrusters, spectroscopy, sterilization.
• Plasma diagnostics: diagnostics of magnetic field, current, particle flow, refractive index, spectroscopy. Diagnostics with X-rays, ion beam.
• Dense plasma & applications: pulsed power plasma devices. Z-pinch, plasma instabilities, X-pinch & other pinch configurations, Dense Plasma Focus, Tokamak, Stellarator. high photon energy sources, particle acceleration, fusion energy.

1. Introduction to Plasma Technology: Science, Engineering and Applications, J.E. Harry, 2010, Wiley?VCH, ISBN Print:9783527327638 Online:9783527632169
2. Plasma Physics and Engineering, A. Fridman, L.A. Kennedy, 2011, CRC Press, ISBN 9781439812280
3. Plasma Engineering: Applications from Aerospace to Bio and Nanotechnology, 1st edition (or 2nd edition), M. Keidar , I. Beilis, 2013 (2018), Academic Press, ISBN: 978-0123859778 (978-0128137024)
4. Principles of Plasma Physics for Engineers and Scientists, U.S. Inan, M. Golkowski, 2011, Cambridge University Press, ISBN 13:9780521193726

Upon completion of the subject, students will be able to:

• Understand the physics behind organic semiconductors
• Understand electronc transport mechanism in the organic semiconductors.
• Identify the molecules that can be used for different functions in organic electronics
• Chose a proper method (or different methods) for fabricating particular component
• Understand the importance of interfaces and morphology for organic electronics
• Gain an introductory knowledge on organic solar cells and organic LEDs

Understanding Organic Semiconductor Physics, Operating Principles of Key Devices, Structure-Property Relationships, Fabrication & Processing Techniques, Device Characterization, Multidisciplinary Communication, Technical English Fluency.

• Introduction to Organic Electronic
• Electronic transport in crystalline organic materials and conductive polymers
• Conducting Polymers, small molecules organic semiconductors,
• Polymer organic semiconductor,
• Electrical and optical properties of organic semiconductors.
• Basic Organic LED structure, thin film layers: Hole injection, hole transport, emissive, electron transport and electron injection layers used in organic LEDs.
• Fabrication and characterization techniques.
• Recent advances in organic solar cells and LEDs

Lecture notes

Familiarity with the internal structure and basic operations of a computer as well as gaining knowledge in the organization and design of the hardware and software that make up a typical computing system. Emphasis will be placed on the lower levels, the level of digital logic and the design of the central processing unit.

Programming in machine language and in symbolic language (assembly).

Understand processor organization, memory, datapath and input / output structures.

Upon successful completion of the course students will be able to:

• Explain the purpose of CPU, I / O subsystems, and various storage subsystems.

• Understand the Instruction Set Architecture (ISA) of a machine, its design and implementation.

• Distinguish computers based on their set of instructions.

• Describe the modern methodology for evaluating and comparing processor performance.

• Describe how to internally represent integer and real (floating point) numbers (IEEE 754) and perform conversions according to the standard.

• Describe the basic ways of addressing and give examples of instructions that use them.

• Describe the technique of partially overlapping operations and its expected benefits.

• Know the low level programming rules and execute code including defining and calling procedures, leaf-procedures, but also non-leaf procedures using the stack correctly.

• Understand the relationship between hardware and software and the relationship between low-level programming and high-level programming.

• Understand the implementation of the control unit either as a classical sequential circuit or with the technique of microprogramming.

• To know the basic principles that govern the organization of modern processors, and some modern research trends in the field of computer architecture.

• Use the MIPS emulator of the MIPS processor for programming at the machine language level.

Search, analysis and synthesis of data and information, using the necessary technologies

Decision making

Autonomous work

Teamwork

Project design and management

Exercise criticism and self-criticism

Promoting free, creative, and inductive thinking

Compulsory course for students in the field of computer organization and computer architecture.

Reference to historical data on the evolution of computers and categories of computer systems.

RISCs and CISCs.

The internal structure of a modern thirty-two-bit processor (MIPS32) is gradually revealed through the study of its instruction set. Also, reference is made to issues of design of computer systems with parallel processing (MIMD, SIMD).

Categories of computer applications and their characteristics.

Structure and basic operations of a typical computer. Study of the instruction repertoire.

Machine language - representation of instructions on the computer.

Symbolic language (assembly language). High level programming language support.

Hardware support for procedures (leaf procedures and non-leaf procedures).

Addressing modes. Signed / unsigned integer representation.

Arithmetic and logic unit and arithmetic and logic operations.

Representation of real (floating point) numbers (IEEE 754) and operations with them.

Computer evaluation and understanding of performance.

Address and data paths and datapath design.

Control unit and timings. Microprogram development.

Increase efficiency by pipelining.

Main memory. Auxiliary memory. Cache memory. Virtual Memory. Memory technology.

Content Addressable Memories (CAM).

Input / Output Units.

Using the various tools (SPIM or MARS) introduced in the course, students should explore in depth several aspects of computer architecture and / or organization to achieve a more complete understanding.

- Suggested textbooks:

• D. A. Patterson, J. L. Hennessy, Computer Organization and Design – The Hardware / Software Interface, 5th ed., Morgan Kaufman Publishers, 2014.
• J. L. Hennessy, D. A. Patterson, Computer Architecture: A Quantitative Approach, 6th ed., Morgan Kaufman Publishers, 2018.

The course aims to

• analyze discrete-time signals and systems using the Z-transform, the DFT and FFT algorithms
• design and implement FIR and IIR digital filters according to frequency-response specifications
• apply image enhancement techniques in the spatial and frequency domains
• select image restoration and compression methods appropriate to the requirements of the application
• implement signal and image processing algorithms in Matlab and document the results in a technical report

Search for, analysis and synthesis of data and information, with the use of the necessary technologies

Decision-making

Autonomous work

Promotion of free, creative and inductive thinking

Discrete-time signals and the sampling theorem, fundamental principles of digital systems, linear convolution and linear difference equations. The Z-transform. Definition, properties. The inverse Z-transform. The discrete Fourier transform. The fast Fourier transform and FFT algorithms. Implementation of digital filters. Basic filter types. Difference equations and digital filtering. Difference equations and the transfer function. Pole-zero diagram and stability. Frequency response of a digital filter.

Introduction to the theory of digital filters. Applications of discrete-time signals and systems. Analysis and design of digital filters. Digital filter structures, IIR filter design, FIR filter design.

Introduction to Digital Image Processing and applications. Basic concepts: elements of visual perception, light and the electromagnetic spectrum, image acquisition, sampling and quantisation, mathematical tools. Intensity transformations. Histogram processing. Filtering in the spatial domain, spatial smoothing and sharpening filters. Filtering in the frequency domain: sampling and the Fourier transform of sampled functions, the 2-D discrete Fourier transform and its properties, filtering in the frequency domain, smoothing and sharpening filters in the frequency domain. Image restoration: noise models, restoration in the presence of noise only, estimation of the degradation function, inverse filtering, Wiener filtering. Image compression: basic concepts and compression methods (lossy and lossless).

Use of computational packages for the design of filters.

Greek or translated textbooks:

• Continuous- and Discrete-Time Signal Processing, Kafentzis Georgios, 2019
• Digital Signal Processing - Principles, Algorithms and Applications, Proakis J.G., Manolakis D., 2024
• Continuous- and Discrete-Time Signals and Systems with Matlab and Octave, 3rd Edition, Paraskevas Michalis, 2022.
• Digital Signal Processing, Veloni Anastasia, Myridakis Nikolaos, 2018
• Basic Techniques of Digital Signal Processing, 2nd Edition, Moustakides Georgios V., 2022
• Digital Signal Processing, 1st Revised Edition, Antoniou A, 2022
• Digital Image Processing, 4th Edition, Gonzales, Stefanos Kollias (ed.), 2018
• DIGITAL IMAGE PROCESSING AND ANALYSIS, PAPAMARKOS NIKOLAOS, 2013

Foreign-language textbooks:

• Li Tan, DigitalSignal Processing – Fundamentals and Applications, AacademicPress, Elsevier, 2008.
• Proakis J.G. & D.G. Manolakis, “Introduction to Digital Signal Processing”, MacMillan Publ., 1994.
• Chassaing R., “Digital Signal Processing Lab Experiments”, Wiley, 1999.
• IEEE Transactions on Image Processing

The purpose of the course is for students to acquire the theoretical and practical background in Automatic Control Systems (ACS) in both continuous and discrete time and their applications. The course aims to introduce students to the fundamental concepts of Automatic Control Systems. The course covers the following thematic areas: (a) Description of continuous-time systems in the form of transfer functions, (b) Analysis of transfer functions: Calculation of characteristic system metrics in the time and frequency domains, (c) Design of closed-loop systems PID controllers, (d) Design of closed-loop control systems using the Ziegler-Nichols empirical method, (e) Analytical design of closed-loop control systems using the pole placement method: Design in continuous and discrete time, (f) Calculation of steady-state errors and system type for closed-loop systems.

The course is accompanied by laboratory-type applications via the MATLAB and Simulink simulation environments.

Learning Outcomes:

Upon completion of the course, students should be able to utilize the acquired knowledge to: (a) Analyze and study the behavior of a linear dynamic system, (b) Design controllers and study their impact and performance on the response behavior of the closed-loop system.

Decision-making

Teamwork (or Group work)

Oral presentation of group work

Criticism and self-criticism

Promotion of free, creative and inductive thinking

Representation of dynamic systems with transfer functions

System analysis in the time and frequency domains

Stability analysis

Block diagram algebra

Closed-loop control systems

PID controllers

Control System Design using the Ziegler-Nichols method

Simulation of closed-loop control systems

 Control SystemDesign using the pole placement method

Calculation of steady-state errors

Closed-loop control system type

Benjamin Cuo and Farid Golnaraghi, Automatic Control Systems, John Wiley, 8th Edition, 2003.

• Identify and describe the main stages of the product development process and determine the appropriate digital tools for each phase.
• Explain the various applications of 3D models, including production of photorealistic images, CNC machining, finite element analysis (CAE/FEM), rapid prototyping/additive manufacturing (RP/AM), and virtual reality.
• Analyze the principles of concurrent and collaborative engineering and evaluate their contribution to product development time optimization.
• Design products using parametric modeling and geometric features.
• Manage complex assemblies and design sheet metal components.
• Evaluate reverse engineering applications in specialized fields such as medicine, quality control, documentation of obsolete components, and cultural heritage preservation.
• Select the appropriate Computer-Aided Manufacturing (CAM) system for product manufacturing.

• Search, analysis and synthesis of data and information, using the CAD/CAM technologies
• Decision making
• Autonomous work
• Teamwork
• Project design and management
• Promoting free, creative, and inductive thinking

Introduction to Computer-Aided Design and Manufacturing (CAD/CAM) systems,.CAD tools for mechanical product design and manufacturing, CAD tools for electronic applications, industrial design, and CAM tools. Process planning and CNC programming. Product design, 3D modeling, and functional analysis using Computer-Aided Engineering (CAE) and Finite Element Analysis (FEA). Evolution of CAD systems, industrial applications of CAD/CAM technologies, typical CAD/CAM workflows in manufacturing environments. 3D product models and their applications. Introduction to 3D CAD modeling, feature-based parametric modeling, sheet metal design, assemblies, and data exchange between CAD systems. Introduction to reverse engineering. Contact and non-contact 3D data acquisition techniques. Structured-light and laser 3D scanners, scanning methodologies, and best practices. Low-cost 3D modeling techniques using photogrammetry. Large-scale terrestrial laser scanning & applications. Medical applications based on computed tomography (CT) and magnetic resonance imaging (MRI) data. Closed-surface (watertight) 3D models. Applications of 3D models in Virtual Reality (VR), Augmented Reality (AR), and multimedia. Applications of 3D documentation and digital preservation in cultural heritage.

• Warren, T. (2026). Autodesk Fusion 360 for beginners 2026: Step-by-step CAD, 3D modeling, and CAM made simple for students, makers, and hobbyists. Independently published.
• Merton, J. (2026). Master FreeCAD 1.1.1 2026: A step-by-step beginner's guide to parametric 3D design from scratch. Independently published
• Sugden, J. O., & Manley, J. (2024). Mastering Autodesk Fusion 360 (2nd ed., 2024–2025): 27 step-by-step projects for beginners in 3D printing, prototyping, and making. Sliceform LLC.

The power electronics course focuses the attention of students, who already know most of the possibilities of electronics, on the elimination of losses, introducing switching methods suitable to replace linear operation. The electronic components that they already know are now examined, along with new ones, from another perspective, that of operating as switches. Attention is focused on any disadvantages of switching methods and how to deal with them. Upon successful completion of the course, the student will be able to:

• Know how to design to minimize losses.
• Have knowledge of the effect of the characteristics of the components on the switching function.
• Know how to implement a power electronics device in order for it to operate effectively.

Searching, analyzing and synthesizing data and information, using the necessary technologies Decision-making Autonomous work, Exercising criticism and self-criticism, Promoting free, creative and inductive thinking

Definition of the concept of "Power Electronics", Power semiconductors (Diode, Thyristor, GTO, MCT, TRIAC, Power BJT, Power MOSFETs, SJ MOSFET, IGBT, HEMT, TRIAC), Circuits with switches and diodes (with RC, RL, RLC load), semiconductor protection, oscillation damping - snubbers, MOVs, di/dt limiting coils, fuses, current sensors - protection through driving. Rectifiers, polyphase rectifiers, thyristor controlled rectifiers. RL and LC low-pass filters, Fourier analysis, use of harmonic spectrum in power electronics, ripple factor (K), total harmonic distortion factor (THD), harmonic factors (HF), power factor (PF). DC/DC conversion, Buck converter, DC and AC coil operation, Boost converter, DC and AC coil operation, Polarity reversal converter. Definition of Duty Cycle and control using a reference voltage and using a triangular or sawtooth pulse (PWM). Switching power supplies, power factor correction (PFC), the pulse transformer, forward converter, half-bridge, bridge, Push-Pull, coupled coils, Flyback converter. Inverters: Half-bridge, Bridge, PWM technique, MPWM technique, PDM technique, Modulation Factor (Mf), SPWM technique, Normalized carrier frequency (Fnc), HF-Link, three-phase inverters, Inverters and motors., Class-D amplifiers, Class-E. Integrated Circuits and Power Electronics, switching regulators, DC/DC converters, PFC controllers, power semiconductor driving, PWM units, Microcontrollers and DSP for power electronics. Feedback control and correction techniques. Cycloconverters, and other applications of Power electronics.

Suggested Bibliography:

• "Power Electronics", Lander C.
• "Power Electronics", Brandley Β.
• "Power Electronics", Williams B.
• "Power Electronics", Rashid M.

• Communicate scientific ideas clearly in written, oral, and digital formats.
• Collaborate effectively in multidisciplinary and intercultural teams.
• Apply critical thinking, problem-solving, creativity, and decision-making skills.
• Demonstrate effective time management, adaptability, leadership, and conflict-resolution skills.
• Formulate research questions, objectives, and testable hypotheses.
• Conduct systematic literature searches and critically evaluate academic sources.
• Prepare and present a structured research proposal, report, poster, or scientific presentation.
• Apply principles of research ethics, academic integrity, referencing, and responsible use of artificial intelligence.
• Disseminate your scientific work using social media.

• Scientific communication across written, oral, and digital formats.
• Effective collaboration in multidisciplinary and intercultural teams.
• Critical thinking, problem-solving, creativity, and evidence-based decision-making.
• Time management, adaptability, leadership, negotiation, and conflict resolution.
• Formulating research questions, objectives, and hypotheses.
• Conducting literature searches and critically evaluating scientific sources.
• Applying research ethics, academic integrity, referencing standards, and responsible use of artificial intelligence.
• Preparing and presenting research proposals, reports, posters, and scientific presentations.
• Reflecting on personal, academic, and professional development.

The content of the course includes the following topics:

• How to make oral presentations in public.
• How to develop your collaboration and networking skills.
• How to develop your cultural intelligence skills.
• How to develop your critical thinking and problem-solving skills.
• How to develop your leadership skills.
• How to manage your time effectively.
• How to resolve conflict situations.
• How to read a scientific paper.
• How to write a scientific paper.
• How to prepare a poster presentation.
• Research ethics and integrity.

• Lecture notes of the lecturer.
• Presentation slides of the invited speakers.

• Explain the fundamental principles of light–matter interaction, including absorption, spontaneous emission, and stimulated emission.
• Describe the conditions required for laser operation, including population inversion, optical amplification, and feedback.
• Explain the basic characteristics of laser radiation, including coherence, monochromaticity, directionality, intensity, and polarization.
• Analyze the operation of optical resonators and describe the formation of longitudinal and transverse modes.
• Understand continuous-wave and pulsed laser operation.
• Distinguish between different types of lasers, including solid-state, gas, semiconductor, fiber, and dye lasers.
• Communicate the principles and applications of laser technology through technical reports, problem-solving activities, and oral presentations.

• Applying the fundamental principles of light–matter interaction, including absorption, spontaneous emission, and stimulated emission.
• Explaining the physical conditions required for laser operation, including population inversion, optical gain, and feedback.
• Identifying the main components of a laser system and evaluating their functions.
• Distinguishing among solid-state, gas, semiconductor, fiber, and dye lasers.
• Analyzing the main properties of laser radiation, including coherence, monochromaticity, directionality, intensity, and polarization.
• Interpreting the operation of optical resonators and the formation of longitudinal and transverse modes.
• Calculating fundamental laser parameters, including wavelength, frequency, photon energy, optical power, intensity, beam divergence, and pulse energy.
• Differentiating between continuous-wave, pulsed, Q-switched, and mode-locked laser operation.

The course will contain the following topics:

• The three fundamental processes to generate light: absorption, spontaneous emission, and stimulated emission.
• The properties of laser light.
• The three building blocks of a laser device: Pump Source, Medium, and an Optical Amplifier.
• Types of Pumping Sources and related laser systems.
• What do we define as the threshold point? What is population inversion, and how many energy states do we need to achieve population inversion?
• Types of optical amplifiers. The stability/loss diagram.
• Longitudinal and Transverse laser modes.
• The saturation mechanism. The various spectral broadening mechanisms.
• How to generate laser pulses: the Q-Switching and Mode-Locking Techniques.
• Controlling the polarization of the laser light.
• Applications of laser light in medicine, environment, and military areas.

• Lecturer's teaching notes.
• LASERS by Siegman