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 course "Advanced Programming Techniques" aims to provide students with the necessary knowledge in medium and large-scale programming, and to deepen their understanding of the C programming language, by examining specific language topics. Special functions of the language will be examined, a brief review of C memory management techniques will be provided, extensive reference to files will be made, and specific topics of compilation, linking multiple files, and elements of multithreaded programming will be discussed.

Upon successful completion of the course, the student will be able to:

1. Create and compile multi-file programs.
2. Implement and manipulate complex data structures.
3. Practice using files in computer storage peripheral units.

Develop parallel processing programs using multithreaded programming.

• Searching, analyzing, and synthesizing data and information using the necessary technologies.
• Adaptation to new situations.
• Autonomous work.
• Teamwork.
• Generating new research ideas.

Units of Theoretical Lectures

• C preprocessor (directives, macros).
• Special operators and types (bit operators, enumerated types).
• Pointers and functions (pointers to arrays, arrays of pointers, pointers to pointers, pointers to functions, functions with variable number of arguments, recursion).
• Dynamic memory allocation and applications (functions, dynamic arrays, lists, trees, graphs).
• Special compilation topics (command line parameters, programs with multiple files, error handling).
• Input-output, files (streams, accessing text and binary files).
• C libraries (string, time, stdlib, etc.).
• Multithreaded programming (thread creation and usage, mutex, semaphores, etc.).

Laboratory Exercises

Exercises using the C programming language and Dev C++ software and Linux (gcc).

• “C: From Theory to Implementation”, G. S. Tselikis and N. D. Tselikas, ISBN: 978-960-93-1961-4.
• "C Programming in Depth" by N. M. Chatzigiannakis, Klidarithmos Publications, ISBN 978-960-461-715-9. (In Greek)
• ”Teach Yourself C Programming in 21 Days” by P. Aitken & B. L. Jones, Sams Publications, ISBN 978-067-230-736-2.
• "Introduction to Data Structures and Algorithms. Implementation in C" by I. Papoutsis, Ath. Stamoulis Publications, ISBN 978-960-351-832-7. (In Greek)

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 main goal of the course is to understand and learn techniques for creating and editing visualizations, reports and graphics.

The course teaches and uses two basic different environments: JasperSoft Studio and D3. At the same time, Gephi and Refuse are presented and used.

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

• Understand basic concepts of visualizations and graphics
• Know basic concepts of techniques for creating and editing visualizations, reports and graphics
• Analyse, designs and implements simple graphics
• Know and apply methods and tools of visualizations, reports and graphics
• Evaluate and ensure the quality of visualizations, reports and graphics

• Autonomous & Independent work
• Teamwork
• Search, analysis and synthesis of data and information, using the necessary technologies
• Decision making
• Promoting liberal, creative and inductive/deductive thinking
• Work in an interdisciplinary environment
• Adapt to new situations
• Project Planning and Management

Theoretical Lecture Units

• Introduction to data and information visualization
• Report Generators

1. Data connection
2. Design Principles
3. Design elements

• Data Sources

1. XML, JSON, CSV, Databases

• Types of Reports

1. aPrints
2. Graphs
3. Grouping

• Patterns and their relationship with visualization

1. Outlines
2. Textures
3. Formulation Principles

• The colors and their role

1. Processing, design and placement of colors in the space

• Mind - Recognition - Conception

1. Principles of visual intellect
2. Highlights of the image
3. Understanding scene
4. Long Term Memory

• Interaction I.

1. Overview & Details
2. Zoom in
3. Focus & Content

• Interaction II

1. Dynamic Questions
2. Movement
3. Off-the-Desktop Interaction.

• Visualization applications (In art, science, etc.)
• Maps
• Trees & Visualization Networks
• Visualization Tools (Prefuse, JfreeChart, Gephi etc).

Laboratory Exercises

• In the laboratory part of the course students have the opportunity to practice the concepts of theory by using exercises that cover the material extensively and cultivate correct skills for the development of visualizations, reports and graphics.

Recommended Bibliography:

• Few, Stephen (2009): Now You See It: Simple Visualization Techniques for Quantitative Analysis. Analytics Press
• Ware, Colin (2008): Visual Thinking: for Design. Morgan Kaufmann
• Card, Stuart K., Mackinlay, Jock D. and Shneiderman, Ben (eds.) (1999): Readings in Information Visualization: Using Vision to Think. Academic Press
• Tufte, Edward R. (1983): The Visual Display of Quantitative Information. Cheshire, CT, Graphics Press

Relevant Scientific Journals:

• Journal: Information Visualization Journal, published quarterly by Palgrave Macmillan,
• Conferences:

1. o IEEE's VisWeek, η οποία περιέχει τις InfoVis και VAST (Visual Analytics Science and Technology)
2. o CHI (Computer-Human Interaction), SIGGRAPH.

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 deals with the design and development of games and especially serious games. Serious Games are games that do not have entertainment as their primary purpose but rather educational, awareness, training, advertising or other "serious" purposes that benefit from the engaging environment provided by the games to motivate users. Serious games are commonly used in defense, health, training, education, energy and other areas in which an engineer is active.

Students will go through all the steps of developing a game, selecting the idea and engaging it with learning objectives in developing and testing the original game in an environment that requires not only programming skills. The curriculum will allow students to understand the process of idealizing, designing, developing, testing, and delivering a game.

The aim of the course is to enable students to understand the process of conceiving, designing, developing, testing and delivering a serious game.

At the end of the course, students will be able to:

• Understand the basic concepts of game culture and digital game theory,

• Analyze game classifications and identify the specific characteristics of each type of game,

• Analyze, perform tests and record user needs and turn them into serious games,

• Understand and apply game methodologies,

• Understand the concepts related to the game, the flow of games, interactive storytelling, narration and their application in practice with the aim of developing an "addictive" game,

• They can refer to the main game tools (game editors, game engines) that are available for game development and identifying the best ones for a specific purpose,

? Conceive the idea, design, development, test and deliver a game.

Adaptation to new situations,

• Decision making,
• Autonomous Work,
• Teamwork,
• Project Planning and Management,
• Work in an interdisciplinary environment,

Promoting free, creative and inductive thinking

Theoretical Lecture Units

Module 1: Introduction

• Chronology. Brief history of audiovisual narration (theater, painting, photography, comics, cinema, animation, television). Aesthetic movements. The evolution of storytelling in the digital world (theme parks, role playing games, multimedia games)
• Basic Principles of Audiovisual Narration. Brief history of audiovisual narration (theater, painting, photography, comics, cinema, animation, television). Aesthetic movements. The evolution of storytelling in the digital world (theme parks, role playing games, multimedia games)

Module 2: Analysis - Design - Art-Production

• GAME WORLD DESIGN

1. World Design,
2. Environment Design,
3. Multi-player Design,
4. Concept Artists
5. Creative Directors

• STORYLINE DESIGN

1. Level Design
2. Mission Design

• CHARACTERS DESIGN

1. character artist,
2. combat systems design,
3. animator,
4. motion capture artist, and
5. character rigger.

• LOOK AND FEEL

1. Cinematics Design or FX artist (effects artist)

• Game Manual
• CONTENT – GAME – SCRIPT WRITING

1. understanding the narrative and incidental writing needs of the game,
2. collaborating with mission designers to fuse their ideas with the storyline,
3. proofreading and rehearsing with actors and directors, and
4. communicating directly with the cinematics department.

• SOUND OR AUDIO DESIGN (recording and crafting audio to sync with animations in a game)

1. sound effects,
2. music,
3. ambient sound, and
4. voices

• QUALITY ASSURANCE DESIGN

Performed by:

• game testers,
• design analysts,
• software quality assurance engineers,
• beta game testers, or
• video game testers

To discover and document:

• defects,
• bugs, or glitches with game software.

Module 3: Programming and Development

• Game Algorithms and Logic Programming
• Tools and Languages for making games
• Game engines,
• Operating systems and game implementation
• Development of diffuse computing (AR) games
• Game Oriented Programming
• Artificial Intelligence
• Multiplayer & Computer Networked Gaming

Module 4: Verification & Validation

• Validation and Verification: The concepts of software validation and verification and their differences. Description of the program control process Explanation of static analysis as a verification technique,
• Game Testing: The control techniques used to find program errors,
• Quality Assurance Testing

Laboratory Exercises

• In the laboratory part of the course students have the opportunity to practice the concepts of theory by using exercises that cover the material extensively and cultivate correct programming skills for flexible & agile software development.

Recommended Bibliography:

• Learn Unity for Windows 10 Game Development, Κωδικός Βιβλίου στον Εύδοξο: 75488229, Έκδοση: /2016, Συγγραφείς: Sue Blackman / Adam Tuliper, ISBN: 9781430267577
• Learn Unity for Android Game Development, Κωδικός Βιβλίου στον Εύδοξο: 75488228, Έκδοση: 1st ed./2017, Συγγραφείς: Adam Sinicki, ISBN: 9781484227046,
• Learn Unity 2017 for iOS Game Development [electronic resource], Κωδικός Βιβλίου στον Εύδοξο: 75488227, Έκδοση: 2nd ed./2017, Συγγραφείς: Allan Fowler / Philip Chu, ISBN: 9781484231746
• Polished Game Development, Κωδικός Βιβλίου στον Εύδοξο: 75490719, Έκδοση: /2016, Συγγραφείς: Steven Goodwin, ISBN: 9781484221228
• Mostly Codeless Game Development, Κωδικός Βιβλίου στον Εύδοξο: 75489336, Έκδοση: 1st ed./2017, Συγγραφείς: Robert Ciesla, ISBN: 9781484229705
• Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design, Κωδικός Βιβλίου στον Εύδοξο: 73263415, Αριθμός τόμου: 75, Έκδοση: /2015, Συγγραφείς: Jacques Periaux / Felipe Gonzalez / Dong Seop Chris Lee, ISBN: 9789401795203
• Advanced Game Design with HTML5 and JavaScript, Κωδικός Βιβλίου στον Εύδοξο: 73261389, Έκδοση: /2015 Συγγραφείς: Rex Spuy ISBN: 9781430258018
• Serious Games Analytics, Κωδικός Βιβλίου στον Εύδοξο: 73266598, Έκδοση: /2015, Συγγραφείς: Christian Sebastian Loh / Yanyan Sheng / Dirk Ifenthaler, ISBN: 9783319058344
• Serious Games Interaction and Simulation, Κωδικός Βιβλίου στον Εύδοξο: 75492361, Αριθμός τόμου: 176, Έκδοση: /2017, Συγγραφείς: Carlos Vaz de Carvalho / Paula Escudeiro / Ant?nio Coelho, ISBN: 9783319510552
• Serious Games and Edutainment Applications, Κωδικός Βιβλίου στον Εύδοξο: 75492360, Έκδοση: /2017, Συγγραφείς: Minhua Ma / Andreas Oikonomou, ISBN: 9783319516455.

Relevant Scientific Journals:

• Schell, J. (2014). The Art of Game Design: A book of lenses. AK Peters/CRC Press.
• Salen, K., Tekinbas, K. S., & Zimmerman, E. (2004). Rules of play: Game design fundamentals. MIT press.
• Jenkins, H. (2004). Game design as narrative. Computer, 44(53), 118-130.
• El-Nasr, M. S., Drachen, A., & Canossa, A. (2016). Game analytics. Springer London Limited.
• Bethke, E. (2003). Game development and production. Wordware Publishing, Inc..
• Michael, D. R., & Chen, S. L. (2005). Serious games: Games that educate, train, and inform. Muska & Lipman/Premier-Trade.

The aim of the course is to provide the necessary knowledge to understand the specifics involved in the design of Distributed Algorithms and Systems. The course will cover theoretical and practical issues of Distributed Systems in terms of their requirements, design approaches and available technologies. Upon successful completion of the course, the student will be able to:

Know the basic principles governing the operation of Distributed Systems.

Understand the structure, capabilities and limitations of Cloud Systems.

Design Distributed Algorithms to solve practical problems.

Evaluate the performance of Distributed Algorithms.

Propose solutions for the development of integrated Distributed Systems.

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

Adaptation to new situations

Autonomous work

Work in an interdisciplinary environment

Generation of new research ideas

Promotion of free, creative and inductive thinking

Lectures 1. Introduction 1.1. What is a distributed system. 1.2. Basic characteristics of distributed systems (Segmentation, Heterogeneity, Errors, Trust, Synchronization) 1.3. Categories of Distributed Systems 1.4. Distributed Computing Systems Distributed Information Systems Distributed Pervasive Systems 1.5. Comparison with related systems 1.6. Parallel Processing, Cluster Computing, Grid Computing 1.7. Basic Design Principles - Objectives 1.8. Transparency (of access, location, migration, migration, replication, concurrency, failure). Open mode. System composition from heterogeneous pieces of software and hardware from different sources. It includes the concepts of interoperability, portability, flexibility. Scalability – Scaling (Size, geographic, management). Techniques for achieving scaling (hiding delays, distribution, etc.), reliability. 1.9. Concepts of Distributed Operating Systems 1.10. Distributed Operating Systems (tightly coupled systems). Multiprocessor and Multicomputer Distributed Operating Systems. Networked Operating Systems (loosely coupled systems). Heterogeneity, reduced transparency. Conceptual transition to the concept of Middleware. 1.11. Middleware 1.12. Definition – Examples of middleware services (high-level communication, remoting, names, files, objects, distributed transactions, replication, security, process synchronization, resource locking). Description of examples. Analysis of how these paradigms obey and promote the desired characteristics of Distributed Systems described in the Introduction. 2. Models of Distributed Systems 2.1. Communication Models 2.2. Client/Server Model. Description, request/response protocol, server classes, model advantages and disadvantages. Three-Tier Client/Server Model Description - Layered Architectures. Model of Peer-to-Peer Systems. Basic concepts, model advantages and disadvantages, comparison with the Client/Server model, Examples of Peer-to-Peer Systems. How they achieve the goals of Distributed Systems. 2.3. Theoretical Models of Distributed Systems Modern Systems. Processes, states, execution steps, calculation and receipt events, security and liveness conditions. Asynchronous systems. Model description, clocks and delivery events not synchronized. 3. Basic Distributed Algorithms 3.1. Introduction to Distributed Algorithms. 3.2. Evaluation methods (time complexity and number of messages) 3.3. Message Propagation in a Spanning Tree. 3.4. Description and analysis of algorithm complexity in synchronous and asynchronous systems. 3.5. Collection of information in a Spanning Tree. 3.6. Description and analysis of algorithm complexity in synchronous and asynchronous systems. 3.7. Creating a Spanning Tree. 3.8. Description and complexity analysis of a Spanning Tree structure creation algorithm in synchronous and asynchronous systems with the flooding method. 3.9. Chief Selection in Distributed Systems. 3.10. Problem description. Description and analysis of named, uniform and non-uniform algorithms for Leader Selection in synchronous and asynchronous systems (use of ring topology, general topology, etc.). 4. Causality 4.1. Introduction to the concept of causality. 4.2. Definition of the happens-before relation. Definition of the concept of casual shuffles. 4.3. Logical Clocks. 4.4. Introduction and description of the concept of logic clocks. Definition, advantages and disadvantages. 4.5. Vector clocks. 4.6. Introduction and description of the concept of vector clocks. Their definition and function. Usage examples and conceptual transition to the message layout concept. 5. Arrangement of Messages 5.1. Introduction to the concept of message layout. 5.2. Description of reliable message propagation and requirements (Integrity, Validity, Agreement). 5.3. FIFO order of messages. 5.4. Description of the concept. Description and analysis of a layout FIFO algorithm using a message disbursement queue. 5.5. Causal arrangement of messages. 5.6. Description of the concept. Description and analysis of a causal message ordering algorithm using vector clocks. 5.7. Ultimate message layout. 5.8. Description of the concept. Description and analysis of a causal message ordering algorithm using Successor. Description and analysis of a causal message ordering algorithm using timestamps and a message buffer. 6. Fault Tolerance Algorithms 6.1. Introduction to Fault tolerance. 6.2. Analysis of fault-tolerant algorithms in the context of the Consensus problem. Introduction to error types. Description of it

• Distributed Systems: Principles and Paradigms, Andrew S. Tanenbaum, Maarten van Steen, Publisher: Prentice Hall (2003), ISBN: 0131217860
• Journal of Parallel and Distributed Computing - Elsevier
• IEEE Transactions on Parallel and Distributed Systems - IEEE
• Journal of Parallel and Distributed Computing - ACM

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 course "Multimedia and Graphics on the Internet" aims to give students the cutting edge knowledge on creating web applications enhanced with multimedia (video, audio, text) and graphics. The course covers in theory and practice the modern technology of multimedia in an internet environment. The course studies important topics related to platforms and protocols streaming technologies and web3D technologies. In the course laboratory there is an internship in graphics and multimedia on the internet and in the use of cutting-edge technologies. Upon successful completion of the course the student: 1. Knows the methodologies of design and development of multimedia and graphic applications on the internet. 2. Uses cutting-edge technologies and tools used to develop multimedia and computer graphics applications in a browser environment and the Internet. 3. Integrates knowledge from different areas, such as usability and user-machine interface, internet technologies and computer systems, etc. 4. Designs and develops innovative applications required to serve the specialized needs of companies operating in the field of online games, telecommunications, information, entertainment, etc

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

? Decision making

? Autonomous work

? Promoting creative and inductive/deductive thinking

? Creation of new research ideas

Theory Lecture Units ? Introduction. Internet, protocols and servers. ? Introduction to web programming on the browser side ? Multimedia technology with emphasis on the internet ? Real-time applications using streaming technology ? Three dimensional technology on the internet ? Sound and virtuality. ? Rigid body technology on the internet ? Physics in graphics and multimedia applications ? Coexistence of graphics and multimedia in applications ? Applications in education, entertainment, social networks and telecommunications, etc.

Laboratory Exercise Modules ? Web3D platforms ? Internet data exchange protocols ? Designing models and worlds in an internet environment ? Design and development of multimedia applications in web and browser environments (Browser) ? Individual work of designing and developing multimedia and graphic applications based on state-of-the-art technologies.

“HTML5 and Javascript Projects,” Jeanine Meyer, APRESS ? “Foundation Game Design with HTML5 and Javascript” , Rex Van Der Spuy, APRESS ? www.w3.org SVG, Declarative 3D, WEBRTC ? www.x3dom.org ? www.web3d.org ? www.threejs.org ? Multimedia Tools and Applications, Journal, Editor Springer ? International Journal of Interactive Multimedia and Artificial Intelligence (UNIR), open access

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).

The course deals with contemporary issues and concepts of software implementation and compares new methods and practices of development (flexible programming) with traditional (procedural programming)

The aim of the course is to acquire knowledge in modern techniques and methods of software implementation (agile programming, extreme programming, scrum development etc.). Using examples of both software implementation philosophies (flexible and pre-designed), their key features are presented in order to improve students' skills in professional software production.

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

• Know the basic concepts of Object Oriented & Procedural Software Engineering.
• Can implement Object Oriented & Procedural Software
• Know Quality Standards and Metrics of Procedural Systems
• Know Agile Programming Methods and Practices
• Compare and evaluate Planned & Agile Planning methods and practices.
• Compare and evaluate implementations with a pre-planned and agile implementation philosophy
• Adapt methods and practices to the specifics of the software

• Autonomous & Independent work
• Teamwork
• Search, analysis and synthesis of data and information, using the necessary technologies
• Decision making
• Promoting liberal, creative and inductive/deductive thinking
• Work in an interdisciplinary environment Adapt to new situations
• Project Planning and Management

Theoretical Lecture Units

• Introduction and Historical Review

1. Procedural Programming
2. Object Oriented Software Implementation
3. Agile Implementation

• Principles of Analysis & Design:

1. SRP - Single Responsibility Principle
2. OCP - Open-Closed Principle (Open-Closed Design Principle)
3. LSP - Liskov Substitution Principle (Liskov Substitution Principle)
4. DIP - Dependency Inversion Principle
5. ISP - Interface Segregation Principle

• Basic Development Concepts
• Design Patterns:

1. Record
2. Standards
3. Construction standards
4. Structural standards
5. Behavioural standards

• Quality Systems of Pre-designed Systems:

1. Weighted Methods per Class (WMC)
2. Depth of Inheritance Tree (DIT)
3. Number of Children (NOC)
4. Coupling Between Object Classes (CBO)
5. Response for a Class (RFC and RFC ’)
6. LCOM1, LCOM2, LCOM3

• Introduction to Flexible Programming:

1. The Manifesto for Agile Planning
2. Values and principles

• Agile Planning Perspective:

1. Comparison with traditional software implementation,
2. Adaptive vs. Predictive,
3. Iterative vs. Waterfall,
4. Code vs. Documentation

• Methods and practices used in flexible programming:

1. Methods such as ASD, RUP, AUP, DSDM etc.
2. Practices such as ATDD, IID klp.

• Customization of Methods: Customization of methods and practices to the specifics of the software.
• Overview and comparison with other methods:

1. RAD (Papid Application Development)
2. CMMI (Capability Maturity Model Integration)

• Implementation Evaluation with the philosophy of Agile Programming:

1. Implementation evaluation based on quantitative characteristics
2. Implementation evaluation based on measurable objectives

• Comparison of Planned and Flexible Programming

Laboratory Exercises

• In the laboratory part of the course students have the opportunity to practice the concepts of theory by using exercises that cover the material extensively and cultivate correct programming skills for flexible & agile software development.

Recommended Bibliography:

• Beck, K., Beedle, M., Van Bennekum, A., Cockburn, A., Cunningham, W., Fowler, M., ... & Kern, J. (2001). Manifesto for agile software development.
• Bruce Eckel:Thinking in Java, Prentice Hall, 1999, ISBN 0-13659-723-8
• Bruegge, B., & Dutoit, A. H. (2009). Object-?Oriented Software Engineering. Using UML, Patterns, and Java. Learning, 5(6), 7.
• Cockburn, A. (2006). Agile software development: the cooperative game. Pearson Education.
• Cockburn, Alistair, Agile Software Development, Addison Wesley, 2002.
• Highsmith, J., & Cockburn, A. (2001). Agile software development: The business of innovation. Computer, 34(9), 120-127.
• Schwaber, K., & Beedle, M. (2002). Agile software development with Scrum (Vol. 1). Upper Saddle River: Prentice Hall.

Relevant Scientific Journals:

• Agile Alliance/Manifesto ? Principles of the Agile Alliance
• The New Methodology (Martin Fowler)
• The Agile Manifesto: Where It Came from and Where It May Go (Martin Fowler)
• Pairprogramming.com
• Agile Modeling
• www.AmbySoft.com/javaCodingStandards.pdf

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

• identify problems that can be solved using low-cost embedded systems, or real-time embedded systems,

• understand the design flow and the use of EDA tools for implementing systems-on-chip (develop, FPGA),

• design, implement and optimize embedded systems related to key application domains (e.g., transportation, E-health).

The course aims towards improving the following student abilities,

• understanding the foundations of complex system design, development, and analysis,

• mastering new technology challenges,

• doing individual work,

• doing teamwork,

• criticize and/or self-criticize,

• perform reasonable R&D related to system engineering.

Unit 1: Embedded Systems: Design Languages and Methodologies - Examples

• System-on-chip Modeling, design flow, abstraction levels
• Top-down (platform-based), and bottom-up (component-based) design
• System-level design, High-level synthesis, Model-driven design engineering, π.χ. μέσω UML
• Intellectual Property cores and related standardization

Unit 2: RTL Design: Languages and Methodologies - Examples

• IP Modeling using HDLs (Verilog and VHDL)
• Reconfigurable technology and rapid prototyping
• EDA tools for ISA (ISS, caching)
• Clocks, Critical Paths, Time closure
• Co-design, co-simulation, co-validation, verification
• RTL synthesis from system-level design using SystemC/C/C++ libraries.

Unit 3: Electronics System-Level Design

• System-level modeling and simulation (processor, routers, network-on-chip or bus, memory interfaces, peripherals)
• Transaction-Level Modeling (TLM)
• Analog-Mixed Signal Modeling
• Sequential and parallel simulation (simulation kernels, event lists)
• System-level power estimation: tools and methodologies
• RTOS Modeling
• Stochastic approaches to system-level optimization, e.g., simulated annealing
• SystemC modeling & simulation

Open-source software & tools (Manuals, papers).

Sample Books

• Peter Marwedel, ``Embedded System Design', Kluwer Academic Publisher, 2003.
• W. Wolf, ``Computers as Components: Principles of Embedded Computing Systems Design', Morgan Kaufman Publisher, 2001, ISBN 1-55860-541- X (case), ISBN 1-55860-693-9.
• Qing Li and Carolyn Yao, “Real-Time Concepts for Embedded Systems”, ISBN:1578201241.

Relevant Scientific Literature

From international conferences, e.g., DAC and DATE or journals, e.g., IEEE IoT Journal, IEEE Transactions on Computers, ACM Transactions on Embedded Computing Systems

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.

•

The course aims to present the principles, techniques, and methods for professional and systematic software development. The Unified Modeling Language (UML), CASE tools like Visual Paradigm and programming languages like Python and JAVA, will be used in the context of this course. Furthermore, the course shows how to handle the volume, speed and variety of big data of SQL and noSQL databases. It also looks at issues related to data management and data quality. In order for students to deepen in Software engineering and big data modelling, several software examples will be examined during the course lectures.

After completing the course the student will have the necessary knowledge to:

• Be able to design software,
• Use CASE tools for analyzing and designing software,
• Be able to administer the software development,
• Be able to use language modeling systems,
• Be able to implement professional software,
• Identify different data items,
• Select a data model that matches its data characteristics,
• Apply techniques for managing flow data,
• Know differences between a traditional database management system and a large data management system,

Recognize why there are so many data management systems.

• Searching, analyzing, and synthesizing data and information using the necessary technologies.
• Adaptation to new situations.
• Autonomous work.
• Teamwork.
• Generating new research ideas.

System description languages – Unified Modelling Language (UML)

• Designing software
• Requirements analysis
• Software design engineering
• Software design trade-offs
• Software implementation planning
• Software design techniques

Software development process management

• Software development methods
• Rapid application development
• Agile software development
• Capability Maturity Model
• Waterfall model
• Spiral model
• V-model
• Design patterns
• Risk management

Software development techniques

• Software prototyping
• Object oriented development
• Flowcharts
• Reusability
• Software product lines
• Error handling and recovery

Big Data Modeling

• Introduction to Big Data Modelling
• Introduction to Data Models (Structures, Operations & Constraints)
• Introduction to Relational Data Models and Semi-structured Data Models
• XML versus JSON on the Internet
• Exploring the Relational Data Model of Comma Separated Values (CSV)
• Exploring the Semi-structured Data Model of JSON data
• Vector Space Model, Graph Data Model, Other Data Models
• Working With Data Models
• Data Model vs. Data Format
• Data Streams
• Data Lakes
• Streaming data applications
• Exploring Streaming Sensor Data
• Big Data Management: The “M” in DBMS
• DBMS-based and non-DBMS-based Approaches to Big Data
• From DBMS to BDMS
• Laboratory Exercises

Exercises using the C programming language and Dev C++ software and Linux (gcc).

• Ian Sommerville, “Software Engineering” (8th edition), Addison-Wesley, May 25, 2006
• Pfleeger Shari Lawrence, “Τεχνολογία λογισμικού Θεωρία και Πράξη”, Α’ & Β’ ΤΟΜΟΣ, Κλειδάριθμος, 2003
• Grady Booch, James Rumbaugh, “The Unified Modeling Language User Guide”, (2nd Edition), Pearson Education Limited, 2005
• Grady Booch, Robert A. Maksimchuk, J. Newkirk et.al., “Object Oriented Analysis and Design with Applications”, Pearson Education Limited, 2007
• Martin Fowler, “UML Distilled: A Brief Guide to the Standard Object Modeling Language” (3rd Edition) (The Addison-Wesley Object Technology Series) (Paperback), Pearson Education Limited, 2003
• Alan Dennis, “Systems Analysis & Design with UML”, 2nd Edition with Visio 2007 Set, John Wiley and Sons Ltd, 2008
• Ivar Jacobson, Grady Booch, James Rumbaugh: “The Unified Software Development Process”, Addison-Wesley, 1999
• Ivar Jacobson, Magnus Christerson, Patrik Jonsson, Gunnar Oevergaard: “Object-Oriented Software Engineering (A use case Driven Approach)”, Addison-Wesley, 1995
• Rational Rose Home Page: http://www.rational.com/products/rose/ index.jtmpl
• Object Management Group – UML: http://www.uml.org
• The Carnegie Mellon Software Engineering Home: http:// www.sei.cmu.edu /sei-home.html
• RabbitMQ in Action: Distributed Messaging for Everyone, Manning Pubs Co Series, Alvaro Videla, Jason J. W. Williams, Manning Publications Company, 2012, ISBN 1935182978, 9781935182979
• Evan Stubbs, Big data, big innovation: enabling competitive differentiation through business analytics, 2018 ISBN 978-1-118-72464-4
• Pete Warden, Big Data Glossary, 2011, O’Reilly, ISBN: 978-1-449-31459-0

The course aims to give students the cutting edge knowledge on creating applications enhanced with multimedia (video, audio, text) and graphics. The course covers in theory and practice of the novel technologies of multimedia and especially on the internet environment. The course studies important topics related to platforms and protocols streaming technologies and web3D technologies. In the course laboratory there is an internship in graphics and multimedia on the internet and in the use of cutting-edge technologies.

Upon successful completion of the course the student:

1. Knows the methodologies of design and development of multimedia and graphic applications on the internet.
2. Uses cutting-edge technologies and tools used to develop multimedia and computer graphics applications in a browser environment and the Internet.
3. Integrates knowledge from different areas, such as usability and user-machine interface, internet technologies and computer systems, etc.
4. Designs and develops innovative applications required to serve the specialized needs of companies operating in the field of online games, telecommunications, information, entertainment, etc.

 Theory Lecture Units
•           Introduction. Internet, protocols and servers.
•           Introduction to web programming on the browser side
•           Multimedia technology with emphasis on the internet
•           Real-time applications using streaming technology
•           Three dimensional technology on the internet
•           Sound and virtuality.
•           Advanced topics in graphics
•           Physics in graphics and multimedia applications
•           Coexistence of graphics and multimedia in applications
•           Applications in education, entertainment, social networks and telecommunications, etc.

•           “HTML5 and Javascript Projects,” Jeanine Meyer, APRESS
•           “Foundation Game Design with HTML5 and Javascript” , Rex Van Der Spuy, APRESS
•           www.w3.org SVG, Declarative 3D, WEBRTC
•           www.x3dom.org
•           www.web3d.org
•           www.threejs.org
•           Multimedia Tools and Applications, Journal, Editor Springer
•           International Journal of Interactive Multimedia and Artificial Intelligence (UNIR), open access

The aim of the course is to provide the necessary knowledge to understand the specifics involved in the design of Distributed Algorithms and Systems. The course will cover theoretical and practical issues of Distributed Systems in terms of their requirements, design approaches and available technologies. Upon successful completion of the course, the student will be able to:

Know the basic principles governing the operation of Distributed Systems.

Understand the structure, capabilities and limitations of Cloud Systems.

Design Distributed Algorithms to solve practical problems.

Evaluate the performance of Distributed Algorithms.

Propose solutions for the development of integrated Distributed Systems.

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

Adaptation to new situations

Autonomous work

Work in an interdisciplinary environment

Generation of new research ideas

Promotion of free, creative and inductive thinking

Lectures 1. Introduction 1.1. What is a distributed system. 1.2. Basic characteristics of distributed systems (Segmentation, Heterogeneity, Errors, Trust, Synchronization) 1.3. Categories of Distributed Systems 1.4. Distributed Computing Systems Distributed Information Systems Distributed Pervasive Systems 1.5. Comparison with related systems 1.6. Parallel Processing, Cluster Computing, Grid Computing 1.7. Basic Design Principles - Objectives 1.8. Transparency (of access, location, migration, migration, replication, concurrency, failure). Open mode. System composition from heterogeneous pieces of software and hardware from different sources. It includes the concepts of interoperability, portability, flexibility. Scalability – Scaling (Size, geographic, management). Techniques for achieving scaling (hiding delays, distribution, etc.), reliability. 1.9. Concepts of Distributed Operating Systems 1.10. Distributed Operating Systems (tightly coupled systems). Multiprocessor and Multicomputer Distributed Operating Systems. Networked Operating Systems (loosely coupled systems). Heterogeneity, reduced transparency. Conceptual transition to the concept of Middleware. 1.11. Middleware 1.12. Definition – Examples of middleware services (high-level communication, remoting, names, files, objects, distributed transactions, replication, security, process synchronization, resource locking). Description of examples. Analysis of how these paradigms obey and promote the desired characteristics of Distributed Systems described in the Introduction. 2. Models of Distributed Systems 2.1. Communication Models 2.2. Client/Server Model. Description, request/response protocol, server classes, model advantages and disadvantages. Three-Tier Client/Server Model Description - Layered Architectures. Model of Peer-to-Peer Systems. Basic concepts, model advantages and disadvantages, comparison with the Client/Server model, Examples of Peer-to-Peer Systems. How they achieve the goals of Distributed Systems. 2.3. Theoretical Models of Distributed Systems Modern Systems. Processes, states, execution steps, calculation and receipt events, security and liveness conditions. Asynchronous systems. Model description, clocks and delivery events not synchronized. 3. Basic Distributed Algorithms 3.1. Introduction to Distributed Algorithms. 3.2. Evaluation methods (time complexity and number of messages) 3.3. Message Propagation in a Spanning Tree. 3.4. Description and analysis of algorithm complexity in synchronous and asynchronous systems. 3.5. Collection of information in a Spanning Tree. 3.6. Description and analysis of algorithm complexity in synchronous and asynchronous systems. 3.7. Creating a Spanning Tree. 3.8. Description and complexity analysis of a Spanning Tree structure creation algorithm in synchronous and asynchronous systems with the flooding method. 3.9. Chief Selection in Distributed Systems. 3.10. Problem description. Description and analysis of named, uniform and non-uniform algorithms for Leader Selection in synchronous and asynchronous systems (use of ring topology, general topology, etc.). 4. Causality 4.1. Introduction to the concept of causality. 4.2. Definition of the happens-before relation. Definition of the concept of casual shuffles. 4.3. Logical Clocks. 4.4. Introduction and description of the concept of logic clocks. Definition, advantages and disadvantages. 4.5. Vector clocks. 4.6. Introduction and description of the concept of vector clocks. Their definition and function. Usage examples and conceptual transition to the message layout concept. 5. Arrangement of Messages 5.1. Introduction to the concept of message layout. 5.2. Description of reliable message propagation and requirements (Integrity, Validity, Agreement). 5.3. FIFO order of messages. 5.4. Description of the concept. Description and analysis of a layout FIFO algorithm using a message disbursement queue. 5.5. Causal arrangement of messages. 5.6. Description of the concept. Description and analysis of a causal message ordering algorithm using vector clocks. 5.7. Ultimate message layout. 5.8. Description of the concept. Description and analysis of a causal message ordering algorithm using Successor. Description and analysis of a causal message ordering algorithm using timestamps and a message buffer. 6. Fault Tolerance Algorithms 6.1. Introduction to Fault tolerance. 6.2. Analysis of fault-tolerant algorithms in the context of the Consensus problem. Introduction to error types. Description of it

Distributed Systems: Principles and Paradigms, Andrew S. Tanenbaum, Maarten van Steen, Publisher: Prentice Hall (2003), ISBN: 0131217860

Journal of Parallel and Distributed Computing - Elsevier

IEEE Transactions on Parallel and Distributed Systems - IEEE

Journal of Parallel and Distributed Computing - ACM

The course combines three fundamental ingredients in game programming: (a) physics, basically mechanics – kinematics and dynamics, (b) related mathematics and (c) numerical methods to describe and follow up the evolution of a specific problem. Additional game elements such as user interaction, guidance and control, will be implemented for a user-centered experience. Finally, students will have the opportunity to develop games of increasing complexity using popular/free game engines.

Due to the material mix and focus, attending the course requires an avid interest in game development. Ideal candidates are:

• Natural Sciences graduates (they have a good understanding of physics/math, but may need work on programming and SW engineering).
• Informatics graduates (they have a solid background in programming/SW engineering, but may need to build physics/math knowledge). 

• Describe and follow up the evolution of a specific problem
• User interaction and guidance and control
• Support a user-centered experience.
• Development of games of increasing complexity using popular/free game engines

Theoretical Lecture Units

• Recap: Basic Game Ingredients: Physics, Math, Numerical Methods, Design and Implementation. Points and Lines, Coordinate Systems, Distances between points and shapes, Applications to Collision Detection, Trigonometry.
• Vector and Matrix Operations: Scalar and Vector physical quantities; Common Geometrical Transformations (Translation, Scaling, Rotation) and their combinations.
• Rigid Body Motion: Speed, Velocity, Acceleration, Newton’s Laws, Forces (gravitation, spring, friction, torque, Momenta (Linear & Angular), Center of Mass, Inertia Tensor, Work, Kinetic & Potential Energies, Conservation Laws.
• Rotational Motion and Rotational Dynamics.
• Rigid Body Motion: Newtonian & Lagrangian Dynamics – Equations of Motion for a Particle and for Particle Systems, the effect of Conservative and Dissipative Forces.
• Detecting and Handling Collisions.
• Relevant topics in Linear Algebra and Calculus.
• Selected Numerical Methods: Euler & Taylor methods, Runge-Kutta Methods, Extrapolation Methods, Numerical Stability.
• Topics in Game Engines: Workflow, Models, Environment, Shaders, Textures, Effects, Lighting Models, Transparency, Scripting, etc.

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

Bibliography:

• “Beginning Math and Physics for Game Programmers – 3rd ed”, W. Stahler, New Riders, 2004, ISBN 978-0735713901
• “Physics for Game Developers – 2nd ed”, D. M. Bourg, O’Reilly, 2013, ISBN 978-1-449-39251-2
• “Physics for Game Programmers”, G. Palmer, A.Press, 2005, ISBN 1-59059-472-X
• “Mathematics for Game Developers”, C. Tremblay, Thomson, 2004, ISBN 1-59200-038-X
• “Game Physics, Second Edition”, D. H. Eberly, Morgan Kaufmann, 2010, ISBN 978-0123749031
• Selected Articles & other readings from the current bibliography