The students are expected to get the required knowledge in order to be able to develop projects and to carry out research in selected, state of the art topics of  AI. That is, in Machine Learning and in particular in Statistical relational learning.

The primary aim of this course is to teach students advanced techniques of modern AI. In addition, it equips students with the appropriate programming tools for developing AI applications. Moreover, the course fosters an appreciation for the engineering issues underlying the design and development of AI systems. 

Overview of Machine Learning. Statistical Relational Learning. Probability Theory & Bayes’ Rule. Probability & Random Variables. Reasoning under Uncertainty I.  Reasoning under Uncertainty II. Probabilistic Graphical Models - Bayesian Networks. Markov Networks. Probabilistic Inference. Probabilistic Logic Programming: ProbLog, Cplint. Implementation of Markov Models & HMM. 

1. D. Poole, A. Mackworth, Artificial Intelligence – Foundations of Computational Agents, Cambridge University Press, Third Edition, 2023.
2. S. Russell, P. Norving, Artificial Intelligence – A Modern Approach, 4th  edition, Pearson, 2022.
3. M. P. Deisenroth, A. A. Faisal, C. S. Ong, Mathematics for Machine Learning, Cambridge University Press, 2020.
4. G. Bontempi, Handbook of Statistical Foundations for machine Learning, Comp. Science Department, Universite Libre de Bruxelles, Belgique, 2017.
5. L. De Raedt, K. Kersting, S. Natarajan, D. Poole, Statistical Relational Artificial Intelligence,   Morgan & Claypool Publ, 2016.
6. D. Koller, N. Friedman, Probabilistic Graphical Models – Principles and Techniques, The MIT Press, 2009.
7. L. De Raedt, Logical and Relational Learning,  Springer, 2008.
8. D. Bertsekas, J. Tsitsiklis, Introduction to Probability, 2nd Edition, Athena Scientific, 2008.
9. L. Getoor,  B.  Taskar,  Introduction  to  statistical relational learning,    The MIT  Press, 2007.

• Search, analysis and synthesis of data and information, using the necessary technologies
• Adaptation to new situations
• Autonomous work
• Teamwork
• Work in an interdisciplinary environment
• Production of new research ideas

Theoretical Lecture Sections

• Introduction to power electronics - relation to other scientific fields. Classification of electronic power converters and their applications.
• Structure and functional characteristics of semiconductor power components (power diode, thyristor, BJT, MOSFET, GTO, IGBT, …).
• Uncontrolled rectifier circuits (using power diodes): Single-phase and three-phase rectifier topologies. Effect of the network’s internal inductance (transition).
• Controlled rectifiers (using thyristors): Topologies of single-phase and three-phase fully controlled inverters, voltage and current waveforms, calculation of active and reactive power.
• AC converters: AC regulators with anti-parallel thyristors, reference to cycloconverters.
• DC to DC converters: Basic topologies of DC to DC converters (step-down, step-up). Analysis of the Pulse Width Modulation (PWM) technique and its application to them.
• AC to DC converters: Topology of single-phase (half-full bridge) and three-phase switching inverter. Analysis of operation with PWM.
• Principles of Fourier analysis and calculation of harmonic components. Derivation of spectrum. Calculation of active / reactive power, RMS value, total harmonic distortion and application to AC converters.

- Suggested bibliography

• Mohan Ν., Undeland Τ. Μ., Robbins W. P., “Introduction to Power Electronics”, 3rd edition, Publisher: Tziola, Thessaloniki, 2010.
• Rashid M., “Power Electronics”, 1st edition, Publisher: "ION" Publishing Group, Athens, 2010.
• Manias St. “Power Electronics”, 2d edition, Publisher: Symeon, Athens, 2017.
• Kioskeridis I., “Power Electronics”, 1st edition, Publisher: Tziola, Thessaloniki, 2008.

- Relevant scientific journals:

• IEEE Transactions on Power Electronics
• IEEE Transactions on Industrial Electronics
• IEEE Transactions on Industry Applications
• IEEE Journal of Emerging and Selected Topics in Power Electronics
• IET Power Electronics

The aim of the course is to familiarize students with the physical and electrical properties of organic semiconductors and the corresponding devices. Upon successful completion of the course, the student will be able to:

• Assess the physical and electrical properties of organic semiconductors.
• Understand the mechanisms of current conduction through these materials.
• Understand the procedures and methodology for studying the structure and properties of organic materials, and be acquainted with the modern fabrication methods currently used in the design of flexible materials and devices.
• Describe and analyze the operating principles of the basic organic electronic devices: from transistors to photovoltaic cells & systems, organic light-emitting diodes (OLEDs) and lasers.
• Know and apply the appropriate characterization protocols for the electrical and optical characterization of the various electronic devices for the reliable evaluation of their performance.
• Be able to use bibliographic databases to find and evaluate the most relevant articles in the field of their work.

The course aims at the acquisition, by the graduate, of the following general competences:

• Understand the procedures and methodology for studying the structure and properties of organic materials, and be familiar with the modern fabrication methods currently used in the design of flexible materials and devices.
• Describe and analyze the operating principles of the basic organic electronic devices.
• Know and apply the appropriate protocols for electrical characterization in order to evaluate the performance of the various electronic devices.
• In the context of the literature searches they will be asked to carry out, be able to independently evaluate and extract the most useful information, thereby developing critical thinking both as a reader and as a writer.
• In the context of presenting their results, be able to function as a member of a research team and within an interdisciplinary environment.

Here's the English translation:

The aim of the course is familiarization with "printable" electronic devices that are not based on inorganic semiconductors, such as silicon, but on organic semiconductors fabricated using printing technologies, which constitute a pioneering category of electronics with enormous market potential in four key application areas: displays, photovoltaics, lighting and bio-electronic systems. To achieve this goal, the course is structured as follows:

Theory

A. Organic Semiconductors

• Conductive Conjugated Polymers and Small Organic Molecules.
• Electronic Structure and Electronic Properties.
• Correlation between chemical structure and optoelectronic properties.
• Synthesis and Characterization Techniques for Organic Semiconductors

B. Organic optoelectronic devices

• Photovoltaic Cells (OPVs)
• Light-Emitting Diodes (OLEDs)
• Organic Semiconductor Lasers
• Optical displays
• Colorimetry and cathode ray tube displays
• Field-Effect Transistors (OFETs)

C. Flexible electronic devices

• Printing techniques for electronic devices
• Flexible sensors
• Printed organic thin-film transistors
• Flexible bio-electronic devices

D. Characterization Techniques for Semiconductor Devices

• Morphological Characterization (AFM)
• Structural Characterization (X-ray spectroscopy)
• Elemental Characterization (Absorption, Raman and FTIR)
• Electrical Characterization (Hall characterization)

Laboratory: Fabrication and characterization of OPVs

• Processing of organic electronic thin-film layers by spin coating
• Thermal deposition of metals
• Optical characterization of organic electronic thin films
• Fabrication of PVs (perovskite) 
• PV performance analysis (J/V, EQE, IQE)
• PV stability analysis

1. E. Cantatore (ed.), Applications of Organic and Printed Electronics: A Technology-Enabled Revolution, Springer, 2013, ISBN 978-1-4614-3160-2
2. H. Klauk (ed.), Organic Electronics II: More Materials and Applications, Wiley-VCH, 2012, ISBN 978-3-527-32647-1
3. C. Brabec, U. Scherf, V. Dyakonov (eds.), Organic Photovoltaics: Materials, Device Physics, and Manufacturing Technologies, 2nd Edition, Wiley-VCH, 2014, ISBN 978-3-527-65693-6
4. S. R. Forrest, Organic Electronics: Foundations to Applications, Oxford University Press, 2020, ISBN 978-0-19-852953-3
5. P. Cosseddu, M. Caironi (eds.), Organic Flexible Electronics: Fundamentals, Devices, and Applications, Woodhead Publishing (Elsevier), 2021, ISBN 978-0-12-818890-3
6. G. Nisato, D. Lupo, S. Ganz (eds.), Organic and Printed Electronics: Fundamentals and Applications, Jenny Stanford Publishing, 2016, ISBN 978-981-4669-74-0

The aim of the course is the critical understanding of multimedia collection, representation, processing and management techniques, as well as the acquisition of basic and advanced knowledge in matters of digitization and compression of audio, image and video. Main learning outcomes include:

1. Knowledge of the basic terminology found in scientific texts in the field of multimedia. 
2. Critical understanding of the fundamental principles of multimedia content compression (audio, image and video). 
3. Knowledge of multimedia information creation & processing techniques and skills of handling specialized software packages for its processing. 
4. Familiarity with technical specifications (e.g., ISO, ITU)

• Search, analysis and synthesis of data and information, using the necessary technologies
• Decision making
• Autonomous work
• Promoting creative and inductive/deductive thinking

Theoretical Lecture Units

• Multimedia - Text, audio, image, video, animation. Categories and characteristics of multimedia applications.
• Information digitization - sampling, quantization, compression / encoding.
• General principles of compression. Lossy vs Lossless compression. Entropy and source encoding, RLE, differential or predictive coding. Vector quantization, Transformation encoding.
• Symmetry and asymmetry of compression techniques.
• Compression / encoding standards: PCM, DPCM, APCM, linear and logarithmic coding.
• Sound. Capture and audio compression techniques, MIDI, DCT, MP3.
• Image. Capture and image compression techniques (GIF, JPEG). Vector image.
• Video. Capture and video compression techniques (MPEG, MPEG2, MPEG4, H.264). Animation.
• Large capacity storage media and storage systems. 

Laboratory Exercises

• Audio modulation and editing techniques.
• Image modulation, editing techniques, filtering tools.
• Video editing and tools.

Relevant English Texts:

• Fundamentals of Multimedia, Ze-Nian Li, M.S. Drew, J. Liu, 2nd ed., Springer Berlin Heidelberg, 2014, ISBN:9783319052892.
• Multimedia Systems: Algorithms, Standards, and Industry Practices, P. Havaldar and G. Medioni, Cengage Learning, 2009, ISBN: 9781418835941.
• Multimedia Systems, R. Steinmetz and K. Nahrstedt, Springer Berlin Heidelberg, 2014, ISBN: 9783662088791.

Internet Sources:

• http://www.jpeg.org
• http://www.mpeg.org

The course aims to introduce students to the theory of Human Computer Interaction and the engineering practices of interactive systems and user interfaces. This is attempted by blending concepts from design theories and practice, engineering methods and techniques and evaluation of interactive software. Specific modules are further exposed in laboratory settings where students become acquainted with a) interactive technologies and their physical, syntactic and semantic analysis b) the user-centred approach to designing interactive systems and c) the architectural models, programming techniques and methodology for developing user interfaces.

Successful completion of the course will promote general skills including 

• Teamwork in framing, understanding and tackling HCI design challenges 
• Searching, analysing and conceptualizing solutions
• Decision making given options in a design space
• Development of presentation skills and argumentative discourse

Topics include the following: 

• Introduction to the principles of interaction and the multi-disciplinary nature of the underlying domain of discourse
• Review of interactive technologies and their physical, syntactic and semantic layers of analysis
• Detailed treatment of physical – lexical level analysis of user interfaces covering input / output devices and models, morphological analysis of input devices and interaction objects 
• Dialogue models covering early efforts such as BNF Grammars, Task Action Grammar, UAN, as well as more recent approaches such as event-models
• Semantic analysis of user interfaces and interaction metaphors
• Theory-based HCI and models (including Ergonomic analysis, Fitts law, cognitive models (KLM, GOMS, NL-GOMS) and architectures
• User centered design and methods (premises and concepts)
• Scenario-based design and techniques
• Design space analysis
• Prototyping methods and tools
• User interface software and technologies (toolkits, IDEs, scripting) 
• Implementation methods and tools

In the laboratory students engage in individual exercises and a case study which addresses most of the issues raised in the theory part.

D. Akoumianakis (2006): Designing the user Interface, A modern approach, Athens: Kleidarithmos

J. Jacko & A. Sears Eds., (2003): The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications, Routledge.

N. Avouris (2000): Human Computer Interaction, Diavlos Publishing.

Instructors’ notes

Selected papers from ACM Transactions on Computer Human Interaction, Human Computer Interaction and International Journal of Human Computer Interaction

The course "Electric Machines II" aims to give students the necessary knowledge on AC electric motors. More specifically, it refers to the structure, operation, special features and applications of different types of AC motors.

Upon successful conclusion of this course, the students will be able to:

1. describe and explain the structure, structural characteristics and basic design principles of AC machines, 
2. to experimentally determine and numerically calculate the parameters of the equivalent circuit of each machine, 
3. examine and analyze the operation of AC motors through the corresponding equivalent circuits,
4. identify and distinguish the different types and variants of AC motors,
5. to create and reconstruct corresponding wiring connections of AC motors in the laboratory,
6. compare the alternatives and suggest the appropriate AC motor for a given application.

• Search, analysis and synthesis of data and information, using the necessary technologies
• Adaptation to new situations 
• Autonomous work
• Teamwork
• Work in an interdisciplinary environment 
• Production of new research ideas

Theoretical Lecture Units

• General: Creation of a rotating magnetic field.
• Synchronous machines: Structure, principle of operation, characteristics, types, excitation, equivalent circuits, vector equation - vector diagram, power flow diagram, losses and efficiency. Experimental determination of equivalent circuit parameters. Study of a synchronous machine for motor/generator operation. For generator operation: Autonomous operation - synchronization, behavior in changes of load and excitation current, specifications. For motor operation: Starting, behavior in changes of load and excitation current.
• Three phase asynchronous motors: Structure, structural characteristics, types (squirrel cage, wound rotor), principle of operation, concept of slip, equivalent circuit, vector equation - vector diagram, power flow diagram, losses and efficiency, torque-speed characteristic, changes on the characteristic.
• Single phase asynchronous motor: Structure and principle of operation, equivalent circuit, starting.
• Reference to special types of motors (Universal, Synchronous reluctance, Switched reluctance).

Laboratory Exercises

1. Study of synchronous AC machines.
2. Study of parallel operation of alternators and synchronous motor loading.
3. Starting of three-phase asynchronous motors, of squirrel cage and slip-ring type.
4. Study of power balance and loading of an asynchronous squirrel cage motor.
5. Study of single-phase asynchronous motor.

- Suggested bibliography:

• Stephen Chapman, 'AC-DC Electric Machines'
• Hubert I. Charles,'Electric Machines': Theory, Operation, Applications, Adjustment, and Control

- Relevant scientific journals:

• IEEE Transactions on Energy Conversion
• IEEE Transactions on Industry applications
• IET Electric Power Applications

The knowledge which students acquire upon successful completion of the course relates to design and implementation of modern operating systems (OSes). More specifically, the students are taught concepts related to the lifecycle of processes and threads, SystemV/POSIX shared memory, and resource sharing, focusing on inter-process communication and synchronization primitives (IPC message queues, pipes, UNIX signals, and POSIX locks, semaphores, barriers, and condition variables). They are also exposed to techniques that can detect or avoid hazards, such as data race and protocol deadlock, and guided to examine cost-efficient solutions of classical OS problems, such as producer-consumer, readers-writers, dining philosophers, and sleeping barber. Students are finally introduced to complex OS kernel functions and high-level services, related to job scheduling, virtual-to-physical address translation, memory management, file system operations, and I/O device management. 

The skills, which students develop upon successful course completion, relate to: 

• Understanding the design, implementation, operation, and high-level services of modern OSes
• Understanding fundamental issues related to resource management in Linux and real-time OSes 
• Programming in consistent and efficient manner concurrent systems utilizing IPC
• Embedding OS API functions (IPC, POSIX, SystemV)

The abilities, which students develop upon successful course completion, relate to: 

• Enabling new problem-solving abilities, e.g. for avoiding hazards in concurrent systems
• Learning shell & systems programming (C/C++ & GNU/Linux) and GNU software development

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

• Adapt solutions to new situations (resource sharing, congestion, contention etc)

• Autonomous work

• Teamwork

• Decision making

• Promoting liberal, creative and inductive/deductive thinking\

• Work in an interdisciplinary environment

Theoretical Lectures

The theoretical part concentrates on the following topics:

• Introduction to OS Design, Architecture and Services, Examples, Open vs Free Software
• Processes & Threads, IPC, Shared Memory, Hazards (Data Races, Deadlocks), IPC functions
• Classical OS Problems and Solutions
• Job Scheduling Algorithms, Implementations
• Virtual-to-Physical Address Translation
• Memory Management, Paging Systems, Replacement Algorithms, Implementations
• File Systems, Kernel support, Examples
• I/O Device Management, Device Drivers Types
• Special OS Topics

Lab

Students are introduced to Linux OS implementation. Hands-on activities relate to shell programming and systems programming, focusing on task management and efficient use of different IPC functions. In addition through simple demos, students are exposed to sophisticated OS topics, such as kernel scheduling policies, paging and address translation (GNU/Linux page maps, analysis), file systems (simpleFS), and I/O device management (UART-to-SPI TTY driver of an LCD). 

Bibliography:

• Andrew S. Tanenbaum, and H. Bos, “Modern Operating Systems”, 3rd Edition, Prentice Hall, 2018.
• W.R. Stevens and S.A. Rago, "Advanced Programming in the UNIX Environment", 3rd edition, Addison-Wesley (2013), ISBN 978-0321637734.
• A. Silberschatz, P. B. Galvin, and G. Gagne, “Operating System Concepts”, 9th Edition, Wiley (2013), ISBN 978-1118093757, http://os-book.com

Other Important Sources

• Eclass - http://eclass.hmu.gr (notes, examples, open source code)

Relevant Scientific Journals:

• ACM Symposium on Operating Systems Principles (SOSP)
• Operating Systems Design and Implementation (OSDI)
• Workshop on Hot Topics in Operating Systems (HotOS)
• Architectural Support for Programming Languages and Operating Systems (ASPLOS)
• Linux Foundation conferences, e.g., Open Source Forum
• Linux Plumbers Conference

The course aims to present current and emerging approaches to the modeling, design and development of database applications. The course builds on the foundations of the introductory third-semester course “Introduction to databases” which is considered a prerequisite. The specific targets of the course cover four thematic areas, namely (a) review of classical data models and database management systems (b) theory of database design (c) advanced data models and (d) databases and the internet. Accordingly, the course outline is formed around these four thematic areas. 

Successful completion of the course will promote general skills including 

• Analysing an information system and record the logical structure of the data used in alternative forms and using alternative tools
• Designing relational schemata to obey to advanced normal forms
• Transforming data across data modeling frameworks 
• Understand the basics of alternative approaches to database development with emphasis on object-orientation, graph databases and deductive systems  

The theoretical part will cover:

• Introduction to data modeling and relational database management systems: Overview of classical data models, The relational approach to database development, Overview of SQL and Relational Algebra, Extensions to the basic relational data model, summary of advanced data modeling approaches.
• Relational design theory: Functional dependency theory, Schema decomposition, Desirable properties of well-formed schema, Assessment of decomposition, closure of a set of attributes, Applications of functional dependency theory, Normal forms
• Alternative data models and approaches to database development: Database modelling and the Unified Modelling Language (UML), Transformation of UML models to relational schema and vice versa, Object-oriented concepts and object orientation to databases, (e.g., abstract data types, inheritance, isa- and part-of hierarchies), object-relational databases (SQL3), Graph databases, Deductive databases. 
• NoSQL systems and data model mappings (e.g., relations to property graph and vice versa)

In the laboratory students engage in individual exercises and a case study which addresses most of the issues raised in the theory part.

Η. Garcia-Molina, J. Ullman, J. Widom (2020): Database Systems (single volume), Crete University Publishing.

A. Silberschatz, H. F. Korth & S. Sudarshan (2001): Database System Concepts (4th Edition), McGraw-Hill ISBN 0-07-255481-9.

R. Elmasri & S. Navathe (1996): Fundamentals of Database Systems, Μετάφραση στα Ελληνικά από τις εκδόσεις "ΔΙΑΥΛΟΣ".

Instructor's notes and papers

The course aims to give students basic knowledge on the structure and operation of Electric Motor Drive Systems, i.e. the control and power devices used to drive electric motors. The course presents the general principles of Electric Drive Systems and analyzes the specific characteristics of systems for driving DC and AC motors.

Upon successful conclusion of this course, the students should be able to:

1. identify and explain which electrical quantities and in what way they should be adjusted in order to apply the desired control on the driven motor - load,
2. describe and explain the structure, characteristics, capabilities and operation of the basic devices currently used to control DC and AC electric motors,
3. distinguish the differences and possibilities of the different control devices, as well as the requirements of the different types of mechanical load,
4. compose or propose the appropriate system for driving a given type of motor or load.

• Search, analysis and synthesis of data and information, using the necessary technologies
• Adaptation to new situations
• Autonomous work
• Teamwork
• Work in an interdisciplinary environment
• Production of new research ideas

Theoretical Lecture Units

1. Structural elements and basic characteristics of electric motor drive systems. System structure, understanding of the effect of the load’s torque-speed characteristic on the selection and stability of the system. Drive system selection criteria. Analysis of operation in the four quadrants.
2. Systems with DC motors: Methods of controlling the speed-torque of direct current motors. Starting, braking, speed control with field weakening. Analysis of the operation of power converters (semi / fully controlled rectifiers and choppers) for the control of DC motors.
3. Systems with AC motors (asynchronous): Speed-torque control methods for three-phase asynchronous squirrel cage and wound rotor motors. Effect of supply voltage and frequency, and rotor resistance. Starting, braking, speed control with constant V/f ratio. Speed ??control of slip ring motors with slip power recovery. Analysis of the operation of power converters for soft start (soft starters) and speed regulation (inverters) of three-phase asynchronous motors.

Laboratory Exercises

They include laboratory exercises and simulations using MATLAB-Simulink.

1. DC motor starting.
2. DC motor speed control.
3. Start and adjustment of speed and torque of separately excited DC motor.

- Recommended bibliography:

• Krishnan R., “Electric Motor Systems: Modeling, Analysis and Control”, 1st edition, Klidarithmos Publications, Athens, 2009.
• Mohan N., Undeland TM, Robbins W. P., "Introduction to Power Electronics", 3rd edition, Tziola Publications, Thessaloniki, 2010.
• Rashid M., “Power Electronics”, 1st edition, Ion Publications, Athens, 2010.

- Relevant scientific journals:

• IEEE Transactions on Power Electronics
• IEEE Transactions on Industrial Electronics
• IEEE Transactions on Industry Applications

The purpose of the course is to familiarize students with the operating principles and development of new technologies in modern photovoltaic systems, as well as their design and evaluation. Upon successful completion of the course, the student will be able to:

• Understand the operating principle of new-technology PV devices based on classical semiconductor theory.
• Explore the growth techniques of organic/hybrid materials and the fabrication stages of the corresponding PV devices at both small and large scale.
• Design electrical characterization techniques for the calculation of the PV parameters of the devices, along with the corresponding protocols for measuring PV lifetime.
• Use bibliographic databases to find and evaluate the most relevant articles in the field of their work.
• Orally present and explain in detail their research/literature project.

The course aims at the acquisition, by the graduate, of the following general competences:

• Search for, analysis and synthesis of data and information, with the use of the necessary technologies.
• Adapting to new situations.
• Working in an interdisciplinary environment.
• Team work.
• Promotion of free, creative and inductive thinking.
• Production of new research ideas.
• Search for, analysis and synthesis of data and information, with the use of the necessary technologies.

Here's the English translation:

The aim of the course is familiarization with the operating principles, fabrication methods and electrical characterization of third-generation photovoltaic devices, which are not based on silicon, but on organic and hybrid semiconductors that can be fabricated using printing technologies. To achieve this goal, the course is structured as follows:

• Introduction and Historical Review of third-generation PVs
• Operating Principles of organic photovoltaics (OPVs)
• Methods for OPV performance characterization
• Characterization methods and stability protocols for OPVs
• Introduction to hybrid perovskite photovoltaics (HPVs)
• Operating principles of HPVs
• The role of two-dimensional materials in HPVs
• Tandem devices
• Printing-based production technology for OPVs & HPVs
• Laboratory: Fabrication and electrical characterization of PV devices.

1. J. Bisquert, The Physics of Solar Cells: Perovskites, Organics, and Photovoltaic Fundamentals, CRC Press, 2017, ISBN 9781138099968
2. M. A. Green, Third Generation Photovoltaics: Advanced Solar Energy Conversion, Springer, 2003, ISBN 978-3-540-26562-7
3. C. Brabec, U. Scherf, V. Dyakonov (eds.), Organic Photovoltaics: Materials, Device Physics, and Manufacturing Technologies, 2nd Edition, Wiley-VCH, 2014, ISBN 978-3-527-65693-6
4. N.-G. Park, M. Gratzel, T. Miyasaka (eds.), Organic-Inorganic Halide Perovskite Photovoltaics: From Fundamentals to Device Architectures, Springer, 2016, ISBN 978-3-319-35112-4
5. T. Miyasaka (ed.), Perovskite Photovoltaics and Optoelectronics: From Fundamentals to Advanced Applications, Wiley-VCH, 2021, ISBN 978-3-527-34748-3
6. M. Pazoki, A. Hagfeldt, T. Edvinsson (eds.), Characterization Techniques for Perovskite Solar Cell Materials, Elsevier, 2020, ISBN 978-0-12-814727-6
7. F. C. Krebs (ed.), Stability and Degradation of Organic and Polymer Solar Cells, Wiley, 2012, ISBN 978-1-119-95251-
8. M. V. Khenkin et al., "Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures," Nature Energy 5, 35–49 (2020) — directly supports the stability protocols unit

The knowledge which students acquire upon successful completion of the course relates to understanding the design of multilayer protection mechanisms for computing systems, with an emphasis on embedded systems security. Security primitives are examined in detail, including lightweight cryptographic software libraries and hardware security devices (programmable crypto engines, crypto ICs). In addition, security patterns/protocols for efficient access control, data privacy, anonymity, confidentiality, integrity, and availability are examined. Case studies range from device security (cryptos), to memory protection/isolation (ARM Trustzone), to operating system kernel and file system support, to application and system/network security, including high-level security event tracing, correlation, and visualization.

The skills, which students develop upon successful course completion, relate to:  

• Understanding the design and use of public key and symmetric cryptography (lightweight
• Understanding the design and use of digital certificates and signatures
• Designing and implementing protocols and techniques for security and data privacy at device, system/network, and application level

The abilities, which students develop upon successful course completion, enable problem-solving abilities that relate to 

• Integrating security/trust in system/platform design and implementation
• Implementing secure embedded systems using lightweight security primitives/protocols
• Validating security functions and evaluating overheads of at device-, system-, and network-level

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

• Adapt solutions to new situations (resource sharing, congestion, contention etc)

• Autonomous work

• Teamwork

• Decision making

• Work in an interdisciplinary environment

• Promoting liberal, creative and inductive/deductive thinking

Theoretical Lectures

• History – Classical Cryptography- Mathematical Preliminaries
• Authentication, Authorization
• SW Vulnerabilities - Memory Errors/Buffer Overflows, Viruses, Worms
• Side Channel, Energy Profiling, Covert Channel
• Buffer Overflows
• Operating System and Network Security (DDoS, Firewall, IPSec, OpenSSL/TLS, OpenVPN, syslog/IDPS)
• Symmetric Cryptography, NIST-approved Operating Modes
• Public Key Cryptography (RSA, Diffie Hellmann) & Elliptic Cryptography
• Security Primitives, Protocols, and Services 
• Digital Certificates & Signatures
• Message Authenticity - Merkle Trees
• Application Security – Web/Ηλεκτρονικό Ταχυδρομείο (HTTPS, SMTP) 
• Embedded Security, Cybersecurity & Safety, e.g. Smart Vehicles, e-Health platforms
• Special Topics (e.g. Blockchains, Steganography, Kerberos, Secret Sharing, Zero-Knowledge Proofs, Oblivious Transfers, Commit Protocols, HW Security (Crypto ICs, ARM Trustzone, Secure Boot/File Systems), Homomorphic Security, Quantum Cryptography, Data Privacy, Anonymity, Onion Routing/Tor, Legal Framework, GDPR, HIPAA etc)

Lab

The student lab focuses on open source hardware/software and Linux system security. Students gain experience in cryptographic mechanisms (AES encryption/decryption, integrity), authentication (SHA3, one-way hash functions), domain isolation, data privacy and anonymity by applying well-established security patterns for device, system/network, and application security. The lab also examines practical use of software tools, cryptographic security libraries, programmable crypto engines, and crypto ICs in experimental platforms and real embedded systems, such as healthcare and automotive.

The aim of the course is the critical application of fundamental engineering and mathematics concepts onto game engine programming environments. Main learning outcomes include: 

1. Understanding key features of gaming engines.
2. Practice fundamental mathematics and physics concepts found in game engines. 
3. Mathematical transformations and motion of a solid body.
4. Study, prediction and detection of collisions. What follows collisions.
5. Numerical solution of equations of motion in fields of forces under constraints.

• Search, analysis and synthesis of data and information, using the necessary technologies 
• Decision making 
• Autonomous work 
• Promoting creative and inductive/deductive thinking

Theoretical Lecture Units

• Main ingredients in games and game engines. 
• Mathematical background relevant to game engines: points and lines: definition of point and line, straight line properties, applications in collision detection - geometry: distances, parabolas, circles and spheres with applications in collision detection - trigonometry: degrees and radians, identities. Scalars - Cartesian and polar coordinates - Vectors: addition/subtraction, internal and external product – arrays. 
• Common transformations and applications in game engines: 2D/3D translation, scaling and rotation and their combinations.
• Description of 1D, 2D 3D motion in gaming engines, speed and acceleration, equations of motion, missiles and explosions. 
• Description of forces and collisions in game engines: Newton's laws, effect of forces on the motion of bodies - work, kinetic energy, dynamic energy and conservation of energy. Collisions among fixed and moving objects, elastic and inelastic collisions - conservation of energy and momentum, modeling, prediction and detection of collisions. Rotational motion.

Laboratory Exercises 

• Programming in a game engine environment to demonstrate theoretical concepts as well as the capabilities and limitations of gaming machines. 
• Build games from scratch and / or convert / augment existing games.

Relevant English Texts: 

• Physics for Game Programmers, G. Palmer, APress, 2005, ISBN: 1-59059-472-X. 
• Unity Game Physics (https://unity3d.com/learn/tutorials/s/physics).

Ability to use mathematical tools that are necessary for signal analysis and for the study of the electrical circuit

Abstract thinking

Elements of Linear Algebra: Vector Spaces and Linear Maps, Mattrices over Real and Complex Numbers (Operations, Determinants, Eigenvalues and Eigenstates, Little Spectral Theorem, Gauss-Jordan Elimination Process. The Discreet Fourier Transform.

Laplace and Fourier Transforms: The L1 and L2 Spaces. Definitions of the Laplace and Fourier Transforms as particular cases of Integral Transforms, and properties of them.

Probability Theory: Basic Definitions. The concept of a Continuous Distribution. Some typical examples.

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