This is a basic introductory course in higher mathematics that offers an important background of knowledge and basic concepts that are considered absolutely necessary for the understanding of the methodology and the scientific foundation of a variety of specialized courses in the science of engineering.

Research, analysis and synthesis of data and information
Autonomous work
Promoting free, creative and inductive thinking
Adherence to good practice guidelines

1 – Linear Systems and Tables
1.1 Systems of linear equations
1.2 Tables
1.3 Table operations and properties
2 – Solving linear systems
2.1 Elementary tables and equivalent tables
2.2 Gaussian sequential deletion method
2.3 Determinant method (Cramer rule)
2.4 Finding an inverted array
3 – Determinant
3.1 Definition
3.2 Determinant properties
3.3 Inverse array
3.4 Other applications of determinants
4 – Diagonalization of tables
4.1 Tables and linear representations
4.2 Eigenvalues and eigenvectors
4.3 Diagonalization of tables
4.4 Finding v-th power of an array
5 – Complex Numbers
5.1 Basic concepts
5.2 Complex Number Algebra
5.3 Forms of a complex number
5.4 Complex level
5.5 Types de Moivre and Euler
5.6 Fundamental theorem of algebra
5.7 Polynomials with complex coefficients
5.8 Roots of complex numbers
5.9 Complex forces
5.10 Logarithm of complex number
6 – Applications in MATLAB environment

Συγγράμματα

Higher Mathematics, Kreyszig Erwin, Ed., A.Tziola & Sons SA
Advanced Mathematics, Voskoglou Michalis, Ed., Gotsis K. & Co. EE.
Linear Algebra, Georgiou & Kougias & Megaritis, Ed., A.Tziola & Sons SA
Advanced Mathematics for Engineers, Tsiantos V., Ed., A.Tziola & Sons SA
Advanced mathematics lessons, Bratsos Athanasios
An introduction to linear algebra-for the positive sciences, Charalambous Chara, Fotiadis Anestis
Mathematics I, Elements of linear algebra-differential and integral calculus, Papaioannou Stavros, Vogiatzi Despina

The aim of the course is for students to understand familiar concepts of Classical Mechanics using vector and differential calculus, synthetic thinking and their familiarity with solving complex problems and exercises. It deepens the axioms and fundamental principles of Newtonian Mechanics and presents the analytical techniques of for the description and solution of simple physical systems and fields of forces. The course requires familiarity with Basic concepts of Kinematics and Dynamics, differential and integral calculus. The principles of Mechanics are described in introductory terms and the integrals of motion are defined. Systems of one degree of freedom are studied, both qualitatively and in detail. The following is the mathematical analysis of motion in a field of central forces, and in particular the forces ~ r-2. Many body systems are also described and the problem of two bodies is analysed. Finally, the origin and consequences of non-inertial forces are examined.
Upon completion of the course students
1) will have deepened their knowledge in the fundamental laws of Mechanics and will have understood the strict mathematical framework in which these laws are expressed and the new knowledge that covers the specific object is produced.
2) will have understood how the whole theory of the respective field of knowledge emerges, based on basic principles and using the necessary mathematics.
3) will be familiar with new ways of modelling and processing complex mechanical systems and finding equations of motion.

Literature review, Critical review of bibliography, Adaptation to new situations, Autonomous work, Teamwork – distribution and delegation of responsibilities, Promoting free, creative and inductive thinking, Adherence to good practice guidelines.

Units and Vectors (Standards and units. Dimensions. Vectors. The unit vector. The position vector. Components of a vector. Scalar and vector products.
Types of vectors. The derivative of a vector. Examples – Problems).
Motion of a Particle (Rectilinear motion. Average and instantaneous velocity, acceleration. Motion in a plane. Physical coordinates. General motion in space. Coordinate systems. Motion of a projectile. Circular motion. Examples – Problems).
Newtonian mechanics (axioms, laws of dynamics and vector form of the differential equations of motion. Conservation laws. Examples – Problems).
Frames of Reference (Relative velocity. Galilean transformation. Inertial and accelerated frames of reference. Inertial forces. Examples – Problems).
Energy and Conservation Laws (Impulse. Energy. Work. Conservative forces. Kinetic energy. Potential energy. Power. Linear momentum. Angular momentum and torque. Examples – Problems).
Dynamics: (equilibria and their stability. Study of conservative 1 degree-of-freedom system, using the method of Potential. Phase diagrams).
Applications to 1 degree.of.freedom (d.o.f) systems (harmonic oscillator, pendulum, systems with friction, forced oscillations. Examples – Problems).
Central forces (conservation of angular momentum, effective potential and study of the equivalent 1 d.o.f system. Examples – Problems).
Motion of Systems (Mechanical system of particles. Internal and external forces. Internal energy. Center of mass. Center of mass frame of reference.
Momentum, energy and angular momentum of a system. Collisions. Systems of variable mass. Examples – Problems).

Συγγράμματα

University Physics with Modern Physics by Hugh D. Young, Roger A. Freedman, Tom Sandin, A. Lewis Ford. Publisher: Pearson Education
Classical Mechanics, Tom W. B. Kibble & Frank H. Berkshire. Publisher: Imperial College Press

This course aims to provide students with a basic understanding of the fundamental principles of statics and to give them the ability to use these principles in solving engineering statics problems. Upon successful completion of the course the student will be able to:
– Resolve the force into its components and determine the resultant of force systems.
– Draw accurate free-body diagrams and apply the equations of equilibrium to solve for unknown quantities.
– Calculate support reactions and determine internal forces in two and three-dimensional trusses.
– Determine internal effects in beams and frames and draw axial force, shear force, bending moment and torsional moment diagrams.
– Determine the centroid and calculate the moment of inertia of composite areas.
– Distinguish the difference between static and kinematic friction and solve problems involving dry friction.

Search, Analysis and synthesis of data and information, independent work, Using corresponding technologies.

– Fundamental Concepts and Principles: Principles of mechanics, Scalars and vectors, Units.
– Analysis of Force Systems: Rectangular components, Moment and couple, Resultants, Equivalent systems.
– Statics of Particles: Equilibrium conditions, Free body diagram.
– Distributed Forces: Centers of mass and centroids, Area moments of inertia.
– Statics of Rigid Bodies: Equilibrium of rigid body, Free body diagram, Reactions at supports and connections, Constraints and statical determinacy.
– Analysis of Structures: Analysis of trusses, Method of joints, Method of sections, Analysis of frames and machines.
– Internal Effects in Beams: Loads and supports, Relations among external loads and internal effects, Internal forces and moments diagrams.
– Friction: Dry friction, Coefficients of friction, Angles of friction, Applications of friction in machines (Wedges, Screws, Belts, Disk friction).

Συγγράμματα

Beer, Ferdinand P. & Johnston, E. Russell Jr. & Mazurek, David F., “Vector Mechanics for Engineers: Statics”, 7th Edition, McGraw-Hill, 2016.
R. C. Hibbeler, “Engineering Mechanics: Statics”, 14th Edition, Pearson Prentice Hall, 2016.
Andrew Pytel, Jaan Kiusalaas, “Engineering Mechanics: Statics”, 4th Edition, Cengage Learning, 2016.

Knowledge of relevant standards relating to mechanical drawing.
Have the ability to think in three dimensions
Illustrate their ideas using sketches
Create view and cross sectional views of simple assemblies
Create engineering drawings of simple and complex mechanical designs.
A key learning outcome of the course is for the student to have the required skill that will allow him to document his thoughts in engineering drawings so that he can easily communicate with other engineers. The student should have the required knowledge to read engineering drawings and make the required corrections and adjustments to them.

Autonomous work
Adaptation to new situations
Decision making
Promoting free, creative and inductive thinking
Research, analysis and synthesis of data and information

Engineering drawing equipment.
Basic drawing knowledge, scales.
Engineering drawing views
Engineering drawing sectional views and special views
Dimensions
Engineering drawing of mechanical components
Engineering drawing of bolts, threads and nuts
Engineering drawing of spring elements and gears
Tolerances and their representation on engineering drawings
Design of spring elements
Engineering drawing of mechanical assemblies

Συγγράμματα

Simmons C., Maquire D., Manual of Engineering Drawing, 4th Edition, Elsevier, 2014
Richard G Budynas, Keith J Nisbett, Mechanical Engineering Design, 10th Edition, McGraw-Hill Education, 2014

Upon successful completion of the course the student will:
– understand the fundamentals of computer architecture and organization
– be able to evaluate the value of binary and hexadecimal numerical representations
– understand and design flowcharts
– have a good knowledge of fundamental data types, input/output, selection and repetition structures, processing of data organised in arrays
– have to knowledge to implement simple algorithms
– be able to understand, modify and design computer programs.

Ability to use integrated development environment to produce computer programs.
Independent work, Teamwork – distribution of responsibilities.

Introduction to Computer Architecture and Organisation
Numerical Systems
System and Applications Software, Computer Programming Languages
Computer Program representation, Flowcharts
Introduction to C/C++ programming language
Input/Output
Variables, Constants, Operators, Operands, expressions, basic mathematical functions
Control statements
Iteration loops
Arrays
Characters, Strings
Laboratory Exercises and applications in C/C++

Συγγράμματα

Introduction to Computer Science, Lecture Notes, D.E. Manolakis, Uploaded to moodle (Greek language)
English Language Textbooks
Object Oriented Programming in C++, R. Lafore, CourseSams Publishing
C++ How to Program (Early Objects Version), Paul Deitel, Harvey Deitel, 10th Edition, 2017, Pearson
Problem Solving with C++, Walter Savitch, Kenrick Mock (contributor, 10th Edition, 2018, Addison-Wesley Professional
Journals:
Computing in Science & Engineering (co-published by IEEE and AIP)
IEEE Transactions on Computers
IEEE Transactions on Software Engineering
Science of Computer Programming
Material from Internet:
www.tutorialspoint.com/cprogramming/
http://www.tutorialspoint.com/cplusplus/
http://www.learn-c.org/
http://www.cplusplus.com/

The C++ Tutorial

http://www.cprogramming.com

The course is designed to provide the basic tools of advanced mathematics, including mainly elements of differential and integral calculus of functions of one variable. In particular, it focuses on the detailed presentation of mathematical concepts, theorems and propositions but also on problem-solving techniques related to them. For this purpose, extensive use is made of examples that find use in practical applications from the field of engineering.
As a background course, it offers the engineer the mathematical knowledge and the way of thinking in order to develop his / her ability to express mathematically and to face methodological practical problems.
Consistent and successful course attendance has as expected learning outcomes for the student:
to achieve the gradual theoretical logical subtraction from the real numbers, in the sense of the variable, in the definition of a function, in the sense of the differential of a function,
to connect and be able to study the representations of a function (analytical form, graphical representation, verbal description),
to understand theoretically and in practice the basic theorems of differential calculus,
to understand the concept of the integral of a function and relate it to practical applications,
to learn all the necessary techniques related to the differentiation and integration of functions,
to identify and distinguish problem-solving methods related to the differentiation and integration of functions,
to make him/her capable to apply the above methods to engineering problems,
to analyze and interpret the obtained results,
to be able to attend, without significant learning gaps, more specialized courses of the department.

Research, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations
Independent work, Teamwork – distribution of responsibilities, Intellectual competences, Societal competence.

• Foundation of the real number system. Field and order axioms, the least upper bound axiom and the Archimedean principle.
• Monotone and bounded real-valued functions, continuation of a real-valued function, Bolzano theorem, and intermediate value theorem, extreme value theorem, uniform continuity.
• Elements of set theory, the system of real numbers.
• Function derivative, derivative calculus and higher order derivatives, Rolle, Mean Value, and L’Hospital theorems, local extrema.
• The Riemann integral, integral properties (sum-difference rule, triangular inequality, linearity), differentiability and continuity, integral at points of discontinuity of the integrable function, integrability of continuous functions, mean value theorem, indefinite integral, fundamental theorem of integral calculus.
• Integration techniques (variable change, integration by parts, etc.), logarithm and exponential function, generalized integrals, examples and applications.
• Subsets of R, accumulation points, sequences of real numbers, monotonic sequences, subsequences and Cauchy’s convergence criterion, Bolzano-Weierstrass theorem, convergence theorems for sequences.
• Series of real numbers, series with positive terms, convergence and absolute convergence tests of series. Taylor’s theorem and Taylor series.

Συγγράμματα

Calculus, Fourth Edition, by Michael Spivak
Thomas’ Calculus, 14th edition, by Joel Hass, Christopher Heil, Maurice Weir
Calculus, Second Edition, by William Briggs, Lyle Cochran, Bernard Gillett

Upon successful completion of the course, students will be able to do the following:
KNOWLEDGE
Understand texts in the English language relevant to the discipline of industrial engineering
Have greater fluency in writing technical texts in English
Be more fluent in searching bibliography and information using English keywords
Be able to participate in discussions, technical presentations in English
Have acquired knowledge for writing, reading and analysis of technical studies, reports, specification sheets in English

Search, analysis and synthesis of data and information, using the necessary technologies, Respect for diversity and multiculturalism

Familiarization of students with terminology through authentic texts and exercises with the following topics:
– the profession of an industrial engineer
– rotary electric motors, electric generators, transformers, transducers
– CAD applications
– CAM applications advantages and disadvantages
– automatic control systems
– robotics technology
– sensors, actuators, end effect devices
– principles, levels and functions of the administration
– staff training and management philosophy
– writing a CV and an application letter
– preparation for a job interview
Review of grammar and syntax (theory and exercises)
– verb tenses
– passive voice
– auxiliary/elliptical verbs
– conditional sentences

Συγγράμματα

Book [102125853]: English for Mechanical Engineering EAP, Altini, Agapi
Book [12635947]: English for Electrical Engineering and Automation – A Dynamic Tool for Mastering the Technical Language, Peppa Ifigenia

After successful completion of the course, students are expected to be able to:

• identify and describe basic materials used in industrial production
• know the correlation of structure and mechanical behavior of materials
• be familiar with the basic mechanisms of material failure

Apply knowledge in practice
Retrieve, analyze and synthesize data and information, with the use of necessary technologies
Make decisions
Works autonomously

Construction metal materials. Structure of metals and interference in relation to mechanical behavior. Chemical and physical methods of structural interference.
Manufacturing and operational behavior. Special, industrial and light alloys. Applications and uses of metallic materials. Simple and complex materials necessary for the construction and operation of mechanical structures. Methods of preparation, formulation and processing of these
materials. Structure, physical, chemical and mechanical properties of ceramic materials. Basic principles of dyeing mechanical structures and paint systems. Standardization of materials, standards.
Study of metal structures and imperfections using metallurgical microscopy and ultrasounds. Measurements of properties of metals and alloys after thermal, mechanical and chemical treatments. Chemical tests of alloy composition and strength of metals in corrosion. Plastic molding.
Measurement of the properties of non-metallic materials. Strength of non-metallic materials to conditions of application and to acids, bases and organic solvents. Quality control of mechanical parts of machines. Treatment of the metal surface before applying coating color.

Συγγράμματα

Course Bibliography (Eudoxus)
The Science and Engineering of Materials, 7th Ed., Askeland Donald, Wendelin Wright, 2017, Cengage Learning, ISBN-10: 0357447883
Materials Science and Engineering: An Introduction, 10th Edition, William D. Callister Jr. and David G. Rethwisch, ISBN-13: 978-1119721772, 2020
Materials:Engineering, Science, Processing and Design, M. Ashby, H. Shercliff and D. Cebon, 4th Ed., ISBN: 9780081023778, 2018

Upon successful completion of the course the student will:
– obtain a deep knowledge of modular programming based on subprograms
– understand the use of pointers
– be able to write programs for processing data organized in text files
– be familiar with string manipulation
– know about composite data types defined by the programmer (structures)
– be able to analyze and develop complex programs

Competency in analyzing and developing complex modular programs based on subroutines, new structured data types defined by the programmer and data stored in text files.
Independent work, Teamwork – distribution of responsibilities

Functions: declaration, definition, and call
Function Parameters: Call by value, Call by reference, Call by address
Scope of variables
Function Overload
Pointers, Dynamic Memory allocation
Multidimensional Arrays
Alphanumeric as C-Strings (arrays) and as C++ objects
Introduction to Data Files
Structures
Laboratory Exercises and applications in C/C++

Συγγράμματα

Programming for Engineers, Lecture Notes, D.E. Manolakis, Uploaded to moodle (Greek language)
English Language Textbooks
Object Oriented Programming in C++, R. Lafore, CourseSams Publishing
C++ How to Program (Early Objects Version), Paul Deitel, Harvey Deitel, 10th Edition, 2017, Pearson
Problem Solving with C++, Walter Savitch, Kenrick Mock (contributor, 10th Edition, 2018, Addison-Wesley Professional
Journals:
Computing in Science & Engineering (co-published by IEEE and AIP)
IEEE Transactions on Computers
IEEE Transactions on Software Engineering
Science of Computer Programming
Material from Internet:
www.tutorialspoint.com/cprogramming/
http://www.tutorialspoint.com/cplusplus/
http://www.learn-c.org/
http://www.cplusplus.com/

The C++ Tutorial

http://www.cprogramming.com

Upon successful attendance of the course the student should be able to:
• classify a circuit as concentrated or distributed
• possess fundamental concepts of signal theory
• recognize and possess the properties of the basic two terminal elements in time and in frequency
• understand the operation of simple electrical circuits and the basic concepts governing them, such as load, potential, current, voltage, resistance
• understand fundamental circuit theorems and general circuit analysis methods in time and frequency
• understand and estimate AC one- and three-phase electrical power circuits,
• perform simple calculations on simple first-order transition circuits in time

Research, analysis and synthesis of data and information, using corresponding technologies, decision making, team work, implementing criticism and self-criticism, promotion of free, creative and inductive thinking.

1. Basic concepts and principles of Electrical Engineering, electric field, magnetic field, concentrated and distributed circuits, wavelength, radiation, field propagation velocity. Elements of circuit topology (branch, loop, node, potential, voltage, current, coupled reference directions, power flow, Kirchhoff’s laws.
2. Tellegen’s theorem, separation groups. Two-terminal elements, linear and nonlinear elements, voltage sources, current sources, dependent and independent sources. Resistor, capacitor, inductor, open circuit, short circuit, switch.
3. Passive and active elements. Transformer. Two-terminal circuits, port, poles, equivalence of circuits, in-line and parallel connections of R, L, C, source connectors. Simple model of real voltage and current source, equivalence of voltage and current sources, Norton and Thevenin equivalent circuits, [Millman theorem].
4. Introduction to signal theory, types of signals, Fourier analysis, mean and root mean square value, step function, Dirac function, sampling theorem.
5. Circuits in the field of frequency, rotating vectors, operations with rotating vectors, transformation of R, L, C in frequency, circuit function, equivalent circuits, voltage and current divider, scalar circuits, RLC and GLC resonance. Resonance.
6. Generalised circuit analysis methods. Simple loop method in the field of frequency. Impedance matrix, Cramer method. Node method in frequency. Complex conductivity matrix. Examples. Input and transfer conductivity. Input and transfer impedance.
7. Output impedance and conductivity, voltage and current transfer functions. Connecting circuits in cascade.
8. AC Power. Active, reactive, complex and apparent power. Units of measurement. Power as a sinusoidal function. Frequency of electrical power. Power triangle. Reactive power compensation. Compensation as a special case of resonating. Parallel compensation vs. series compensation.
9. Maximum power transfer theorem. The case of the given consumer as opposed to the given amplifier. Matching. Why power lines are not adjusted.
10. Three-phase circuits. Polar voltage, phase voltage, line currents, phase currents. Y-Y, Y-Δ, Δ-Y, Δ-Δ connections. Relationship between polar and phase magnitudes. Neutral current in a symmetric three-phase system. Grounded and non-grounded neutral. Neutral brake. Phase brake. Two-phase break.
11. Power in three-phase systems. Power measurement with Aron connection.
12. Transient phenomena in electrical circuits. Resistor, capacitor and inductor models in time. Differential equations. Unguided first-order circuits. Natural response. Stability. Time constant. Recovery time. Linearity. Examples.
13. First Order circuits driven by DC or AC source. Zero Input Response. Zero State Response. Stability. Initial and final state method. Impulse response, step response.

Συγγράμματα

Nikos I. Margaris, Electric Circuit Analysis. Tziola Publishing, 2010. (in Greek)
Nilsson Riedel, Electric Circuits, 9th edition, Prentice Hall, 2011. (in English and Greek)
Alexander C., Sadiku M., Fundamentals of Electric Circuits, 6th edition, McGraw Hill, 2019. (in English and Greek)

Undergraduate Programme Handbook Department of Industrial Engineering and Management, I.H.U.
37
DYNAMICS
CODE:24 SEMESTER:2 TYPE: BACKGROUND/ CORE LECTURES/EXCERSICES/LAB/ECTS: 3/ 1 / 0 / 5
WEBPAGE: http://www.vdl.teithe.gr/index.php/education/courses/dynamics, https://moodle.teithe.gr/course/view.php?id=3401
LEARNINGOUTCOMES:
This course covers the kinematics and kinetics of particles and rigid bodies in two and three dimensions, as well as an introduction to vibrations of mechanical systems and aims to equip students with the analytical skills required to solve engineering dynamics problems by applying basic principles and methods of mechanics. Upon successful completion of the course the student will be able to:
– Analyse the kinematics of particles and rigid bodies.
– Draw free-body diagram for a particle or a rigid body in motion.
– Determine the dynamic response of the system to applied loadings, using Newton’s laws.
– Apply the principle of work-energy and the principle of impulse-momentum to solve particle, system of particles and rigid-body kinetic problems.
– Solve impact problems using the principle of impulse and momentum and the coefficient of restitution.
– Determine mass moments and products of inertia of a rigid body for specified axes.
– Define the inertia tensor, principal coordinates and the principal moments of inertia.
– Solve three-dimensional rigid body kinetics problems.
– Derive mathematical models for simple vibration systems.
– Define free vibration and solve problems of simple harmonic motion.
– Explain and solve problems of forced vibrations.

Search, Analysis and synthesis of data and information, independent work, Using corresponding technologies.

– Kinematics of Particles: Position vector velocity and acceleration, Rectilinear motion, Curvilinear motion, Derivative of vector function, Rectangular components of velocity and acceleration, Normal and tangential coordinates, Polar coordinates, Relative motion.
– Kinetics of Particles: Newton’s second law of motion, Equations of motion, Kinetic energy of a particle, Conservative Forces and potential energy, Principle of work and energy, Conservation of energy, Linear and angular momentum, Linear and angular impulse, Principle of impulse and momentum, Conservation of momentum.
– Dynamics of Particle Systems: A Motion of the center mass of a system of particles, Principle of work and energy for a system of particles, principles, Principle of linear impulse and momentum for a system of particles, Conservation of energy and momentum, Impact, Relative motion.
– Mass Moment and Product of Inertia: Mass Moment of inertia by integration, Mass products of inertia, Parallel-Axis theorems, Moment of inertia about an arbitrary axis, Inertia tensor Principal moment and principal axes of inertia.
– Planar Kinematics of Rigid Bodies: Planar rigid-body motion, Translation, Rotation about a fixed axis, General plane motion, Absolute and relative plane motion analysis, Instantaneous center of rotation in plane motion, Motion relative to a rotating reference frame.
– Planar Kinetics of Rigid Bodies: Equations of motion for a rigid body, Kinetic energy of a rigid body, Work-Energy principle and conservation of mechanical energy, Linear and angular momentum in plane motion, Principle of impulse and momentum for the plane motion of a rigid body, Conservation of angular momentum, Rigid body impact.
– Rigid-Body Dynamics in Three Dimensions: Angular momentum and kinetic energy of a rigid body in three dimensions, Euler’s equations of motion, Rotation about a fixed point, Fixed-axis rotation, General motion, Gyroscopic motion.
– Mechanical Vibrations: Free vibrations of particles, Undamped and damped systems, Equation of motion, Natural frequency, Damping ratio, Forced vibration of particles, Resonance, Vibration of rigid bodies, Energy methods.

Συγγράμματα

J. L. Meriam, L. G. Kraige, “Engineering Mechanics: Dynamics”, 7th Edition, John Wiley & Sons Inc., 2012.
R. C. Hibbeler, “Engineering Mechanics: Dynamics”, 14th Edition, Pearson Prentice Hall, 2015.
Ferdinand P. Beer, E. Russell Johnston Jr., Phillip J. Cornwell, Brian P. Self, “Vector Mechanics for Engineers: Dynamics”, 11th Edition, McGraw-Hill, 2018.

After successful completion of the course, the student should be able to:
-describe the laws of thermodynamics
-judge the properties of pure substances
-analyze thermodynamic processes with the application of thermodynamics laws in closed and open thermodynamic systems
-be able to solve problems that concern pure substances and vapours

Research, analysis and synthesis of data and information, Adaptation to new situations, Decision making, Autonomous work, Exercise criticism and self-criticism, Promoting free, creative and inductive thinking.

Using thermodynamics, defining systems, describing systems and their behavior
Evaluating thermodynamic properties, phase and pure substance, phase change, vapor liquid-saturation tables, ideal gas model
Energy and the first law of thermodynamics
Energy balance for closed systems
Energy analysis of thermodynamic cycles
Control volume analysis using energy, conservation of mass, conservation of energy
The second law of thermodynamics, irreversible and reversible processes
Entropy balance for closed systems
Entropy rate balance for control volumes
Isentropic processes, isentropic efficiencies
Exergy analysis, exergy of a system, introduction to thermoeconomics
Vapor power systems, introduction to vapor power plants, the Rankine cycle
Refrigeration and heat pump systems, vapor refrigeration systems, absorption refrigeration

Συγγράμματα

Michael J. Moran, Howard N. Shapiro: Fundamentals of Engineering Thermodynamics 8th Ed. John Wiley & Sons Inc. 2014.
Bejan Adrian: Advanced engineering thermodynamics, 4th Ed. John Wiley & Sons Inc. New Jersey, 2016.
Eastop T.D., McConkey A.: Applied Thermodynamics for Engineering Technologists, 5th Ed. Longman. New York, 1993.

Knowledge
Understanding:
– the basic content of the branches of Philosophy
– the basic issues dealt with by Philosophy
– the Physiognomy of Technology
– the Physiognomy of Science
– the Relationship between Technology and Science
– the Philosophy of Technology
– the Philosophy of Science
Skills
Improvement of ability to:
– recognize the role of technology and its teleological orientation
– recognize the role of science and its causal orientation
– delve into issues that require philosophical reflection
– distinguish the difference between the technological and the scientific method
– handle the philosophical treatment of ethical problems associated with technology

Increased self-reflexive mood, increased capacity to cultivate literacy, increased capacity to develop critical ability, increased level of awareness and self-awareness, increased internal motivation to self-actualization and self-fulfillment, increased internal motivation to social contribution.
Search, analysis and synthesis of data and information using the necessary technologies.
Adaptation to new situations.
Autonomous work.
Promoting free, creative, deductive, inductive, and abductive thinking.

Introduction to Philosophy, The Concept of Philosophy, Methods of Philosophy, Short History of Philosophy, Division of Philosophy, General Philosophy, Theology, Metaphysics, Logic, Philosophy, Special Philosophy, Special Philosophy of Science, Philosophy of Technology, Philosophy of Science, Philosophy of Techno-Science.

Συγγράμματα

Philosophy and Technology, MItcham C., ISBN-10: 0029214300, 1983.
Science, Technology and Philosophical Thinking, I. N. Markopoulos, University Studio Press, 2018. (in Greek)
Philosophy of Technology. Ihde D., In: Kemp P. (eds) Philosophical Problems Today. Philosophical Problems Today, vol 3. Springer, Dordrecht.
https://doi.org/10.1007/1-4020-3027-4_3, 2004
Visions of STS: Counterpoints in Science, Technology, and Society Studies, Stephen Cutcliffe & Carl Mitcham, ISBN 10: 0791448452, State
University of New York, 2001.

KNOWLEDGE
Understanding of the fundamental electronic properties of materials
Connection of the matter structure to the fundamental electronic properties of materials
ABILITIES
Calculation of material properties
Ability to read, understand and use material property specifications
Understanding of the functional concept of electrical and electronic devices, based on material properties
Identification, comparison, selection and use of electrotechnical materials in the development of production systems

Search, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations.
Independent work, Teamwork – Respect to the natural environment, Promotion of free, creative and inductive thinking.

1. Objectives, Significance and Interest
2. Atomic forces and bonds
3. Crystal Structures 1 (Basics)
4. Crystal Structures 1 (Structure types)
5. Metals
5. Semiconductors
6. Polymers
7. Thermal properties of materials
8. Dielectric properties of materials
9. Thermoelectricity, Piezoelectricity, Ferroelectricity
10. Magnetic properties of materials
11. Artificial structures
12. Application example: Materials in a Smartphones
13. Summary

Συγγράμματα

Principles of Electronic Materials and Devices, 4th Edition, Safa Kasap, ISBN-10 : 0078028183, 2017
Materials Science and Engineering: An Introduction, 10th Edition, William D. Callister Jr. and David G. Rethwisch, ISBN-13: 978-1119721772, 2020
Introduction to Solid State Physics 8th Edition, Charles Kittel, ISBN-13: 978-0471415268, 2004
Microelectronic Circuits, Sedra Adel, Smith Kenneth, Tony Chan Carusone and Vincent Gaudet, 8th Edition, ISBN-10: 0190853506, 2020

The aim of the course is to provide the student with the necessary knowledge and stimuli to understand basic features of human culture (Myths, writing, money, etc.), how they developed, what consequences their development had on the evolution of societies. The course is largely interdisciplinary and basically concerns history, but is also related to sociology, anthropology, economics, science, philosophy.
The aim of the course is for students to have a macroscopic understanding of the overall historical, social, scientific, and economic context in which they will be called upon to develop and act as scientists, professionals, and people.
Upon successful completion of the course the student will be able to:
• Understands the basic stages that characterize the evolution of human history.
• Describes basic phenomena and characteristics of important historical phases of human history.
• Knows the characteristics and importance of basic parameters that constitutes culture (writing, religion, etc.).
• Demystify the role of phenomena such as slavery, war and realize the real causes of its appearance in human history.
• Understand how abstract mechanisms work, necessary today, such as trade, money, etc.
• To develop critical ability in relation to the dynamics of human civilization, the differences, and similarities with today.

Research, analysis and synthesis of data and information
Literature review
Adaptation to new situations
Working in an interdisciplinary environment
Respect for diversity and multiculturalism
Respect for the natural environment
Exercise criticism and self-criticism
Demonstration of social, professional, and moral responsibility and sensitivity to gender issues
Promoting free, creative, and inductive thinking
Teamwork – distribution and delegation of responsibilities

1. Introduction, brief history of humanity.
2. The forager man, Neanderthal
3. Homo Sapiens – Neolithic revolution
4. Myths and fantasy class
5. Cognitive revolution
6. Writing, organization, numbering
7. Agricultural revolution
8. Globalization, unification of humanity, empires
9. Money, trade, religion
10. Scientific progress, colonialism
11. Capitalism, credit and development, wars, and slavery.
12. Industrial Revolution, Energy, Raw Materials, Overproduction and Demand, Consumerism and New Ethics
13. Post-industrial society, information society

Συγγράμματα

• Harari Noah Yuval, Sapiens A Brief history of Humankind, ISBN: 978-960-221-665-1, Alexandria, 2017, [59395938]
• Cardwell Donald, History of Technology, ISBN:978-960-375-572-2, Metexmio, 2004, [24148]
• Vakalios Thanasis, Technology, Society, Civilization, ISBN: 978-960-8295-01-8, Armos, 2002, [3185]
• Armand L. & Drancourt M., Technique and Civilization, PapaZisis, Athens 1969.

The course is designed to provide the basic tools of advanced mathematics, including mainly elements of differential and integral calculus of multivariable functions. In particular, it focuses on the detailed presentation of mathematical concepts, theorems and propositions but also on problem-solving techniques related to them. For this purpose, extensive use is made of examples that find use in practical applications from the field of engineering.
As an elective course, it offers the engineer the opportunity to satisfy his / her interest in mathematics by further cultivating the mathematical way of thinking by developing skills of mathematical transcendence and methodology and applying them to the solution of practical problems on two and three dimensions.
Consistent and successful course attendance has as expected learning outcomes for the student:
to achieve the gradual theoretical logical subtraction from the real functions of one variable into real functions of two, three and more variables, to enable him to understand and process three-dimensional data with the help of representations of functions in 3d-space, to provide him with methods for the study and analysis of multivariable functions, to understand the concepts of double and triple integrals and connect them with practical applications, to identify and distinguish problem-solving methods related to the differentiation and integration of multivariable functions, to make him / her capable to apply the above methods to engineering problems, to analyze and interpret the obtained results.

Research, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Independent work, Teamwork – distribution of responsibilities, Intellectual competences, Societal competence.

Multivariable functions, definition, limits, continuity.
Vectors and Analytic geometry of space, equations of lines and planes.
Partial derivatives and basic theorems.
Total differential, gradient, implicit differentiation, tangent planes.
The chain rule, coordinate systems.
Taylor’s formula for multivariable functions.
Curves in space and component functions
Extreme values of multivariable functions.
Double and triple integrals.
Substitutions in multiple integrals, polar, cylindrical, spherical coordinates
Applications in Engineering, in Physics.

Συγγράμματα

1. Thomas’ Calculus, 14th edition, by Joel Hass, Christopher Heil, Maurice Weir
2. Vector Calculus, 3rd edition by Jerold E. Marsden, Antony J. Tromba

The aim of this course is to teach the student the necessary tools for the numerical solution of mathematical problems, the application of numerical methods and the implementation of these solutions with programs on PC. For this reason in the course laboratory the MATLAB software package is used, which makes it possible to implement and study the methods presented in theory. Upon successful completion of the course the student will be able to:
– understands the effect of truncation – rounding errors and method errors on numerical results as well as number systems and their representation
– selects the appropriate arithmetic method to use in each problem,
– implements algorithms for solving nonlinear equations
– implements algorithms for solving linear systems with direct and iterative methods,
-recognizes and implements basic data interpolation methods
-recognizes and implements basic regression methods
-knows and implements basic methods of arithmetic integration
– knows and implements basic methods for solving differential equations and systems of differential equations
-recognizes and uses MATLAB software and its tools with ease.

Research, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Independent work, Teamwork – distribution of responsibilities, Intellectual competences, Societal competence.

Introduction to Numerical Analysis,
Numerical Calculations and Errors,
Numerical Solution of Nonlinear Equations (Bisection Method, String Method, Newton Method)
Numerical solution of systems of equations
Numerical Solution of Systems of Linear Equations. Immediate Methods: Gaussian deletion,
Gauss-Jordan, LU factorization.
Repetitive Methods: Jacobi, Gauss-Seidel, sequential hyperelaxation.
Numerical Solution of Systems of Nonlinear Equations, Newton-Raphson method
Interpolation (Polynomial approach, Lagrange interpolation etc)
Approach (Minimum Squares)
Numerical Integration (Table Rule, Complex Table Rule, Simpson 1/3 & 3/8, Romberg Algorithm,
Integration by Gauss)
Numerical Solution of Ordinary Differential Equations (Euler Method. Improved Euler Method.
Runge-Kutta Methods: 2nd, 3rd and 4th order,Finite difference method.)
Systems of Ordinary Differential Equations.
Laboratory Exercises and applications in MATLAB

Συγγράμματα

Numerical Methods for Engineers 7th Edition by Steven Chapra, Raymond Canale, Boston: McGraw-Hill Higher Education.
Numerical Analysis, Tenth Edition, Richard L. Burden, J. Douglas Faires, Annette M. Burden, Cengage Learning Boston, USA
Numerical Analysis Using MATLAB® and Excel®, Third Edition, Steven T. Karris, Orchard Publications

KNOWLEDGE
Functionality of the basic analogue electronics building blocks
Applications of the basic analogue electronics building blocks
Functionality of the basic digital electronics building blocks
ABILITIES
Calculation and modelling of simple analogue electronic circuits
Simulation of simple analogue electronic circuits
Design of combinational digital systems
Identification, analysis, design and implementation of applied analogue circuits and digital systems

Search, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Independent work, Teamwork – distribution of responsibilities

Analogue Part:
1. Introduction to Electronic Systems
2. Basic concepts (circuits and systems)
3. Diode
4. Bipolar Junction Transistor
5. Field Effect Transistor
6. Basic Circuits: Switches and amplifiers
7. DC and small signal models
8. Operational amplifiers
9. Digital Gates and CMOS
10. Analog to Digital Converters and Digital to Analog Converters
11. Oscillators
12. Applications
13. Summary
Digital Part:
1. The Binary System
2. Logic Gates
3. Boole Algebra
4. Design Of Combinational Digital Systems
5. Basic Combinational Circuits: Half Adder, Full Adder, Decoder,
Coder, Rom, Code Translators, 8-Bit Equality Comparator.
6. Design Errors
7. Characteristics Of Digital Integrated Systems
8. Basic Memory Units: The Flip-Flop
9. Basic Sequential Circuits: Registers And Counters
10. Simulation Of Combinational Circuits
11. Assembly And Testing Of Digital Circuits

Συγγράμματα

Microelectronic Circuits, Sedra Adel, Smith Kenneth, Tony Chan Carusone and Vincent Gaudet, 8th Edition, ISBN-10: 0190853506, 2020
Digital Electronics Principles and Applications, Roger L. Tokheim, Patrick E. Hoppe, 9th Edition, ISBN-10: 1260597865, 2021
Digital Electronics: A Practical Approach, W. Kleitz, 9th Edition, ISBN-10: 1292025611, 2013
Microelectronic Circuit Design, Jaeger Richard – Blalock Travis, 5th Edition, ISBN-10: 0073529605, 2015

This course aims to provide students with a basic understanding of the fundamental principles of mechanics of engineering materials, enable them to determine stresses and strains produced in structural members by external loads and acquire the ability to apply the basic concepts of mechanics of deformable bodies in engineering applications and design problems. Upon successful completion of the course the student will be able to:
– Use of stress-strain graphs to extract material properties.
– Understand the fundamental concepts of stress and strain transformation.
– Determine principal stresses and maximum shear stress in a general two dimensionally stressed system by analytical and graphical methods.
– Compute stress and deflections due to axial, transverse, torsional and combined loading conditions of a beam.
– Calculate shear stresses and their distribution in thin-walled section beams.
– Calculate thermal stress and strain.
– Analyse of statically indeterminate beams.
– Apply Euler’s formula to predict buckling load of columns with typical end conditions.
– Understand different failure criteria for designing of safe structural members.

This course aims to provide students with a basic understanding of the fundamental principles of mechanics of engineering materials, enable them to determine stresses and strains produced in structural members by external loads and acquire the ability to apply the basic concepts of mechanics of deformable bodies in engineering applications and design problems. Upon successful completion of the course the student will be able to:
– Use of stress-strain graphs to extract material properties.
– Understand the fundamental concepts of stress and strain transformation.
– Determine principal stresses and maximum shear stress in a general two dimensionally stressed system by analytical and graphical methods.
– Compute stress and deflections due to axial, transverse, torsional and combined loading conditions of a beam.
– Calculate shear stresses and their distribution in thin-walled section beams.
– Calculate thermal stress and strain.
– Analyse of statically indeterminate beams.
– Apply Euler’s formula to predict buckling load of columns with typical end conditions.
– Understand different failure criteria for designing of safe structural members.

Search, Analysis and synthesis of data and information, independent work, Using corresponding technologies.

– Introduction to Stress and Strain Analysis: Equilibrium of deformation body, Normal stress, Shear stress, Allowable stress design and factor of safety, Design of simple connections, Deformation, Strain, Components of strain.
– Mechanical Properties of Materials: Tensile and compression test, Normal stress-strain diagrams, Young’s modulus, Yielding, Plastic deformation, Breaking strength, Hook’s Law, Poisson’s ratio, Shear stress-strain diagram, Shear modulus.
– Geometrical Properties of Sections: Centre of gravity, Moment of inertia, Polar moment of inertia, Radius of gyration, Product of inertia, Principal moment and principal axes of inertia, Mohr’s circle for moment of inertia.
– Axial Load: Saint-Venant’s principle, Elastic deformation of an axially loaded member, Thermal effects on axial deformation, Stresses in inclined Planes, Stress concentrations.
– Bending of Beams: Symmetric members in pure bending, Unsymmetrical bending analysis, Stress concentration, Bending deflection, Elastic curve, Double integration method.
– Shear Stress in Beams: Shear flow, Shear center, Shear Stress distribution, Shear stress in thin-walled cross-sections.
– Torsion: Torsion of circular shafts, Angle of twist, Torsion of thin-walled cross-sections.
– Transformation of Stress and Strain: Plane stress, Stress transformation for plane stress, Principal stresses and principal planes, Maximum shear stress and corresponding plane, Mohr’s circle for plane stress, Plane strain, Transformation of strains in a plane. Mohr’s circle for plane strain.
– Statically Indeterminate Structures: Displacement method, Energy Methods, Catigliano’s theorem, Superposition method.
– Combined Loadings: Failure theories, Equivalent stress.
– Buckling: Buckling of columns, Critical load, Euler’s formula.

Συγγράμματα

Ferdinand P. Beer, E. Russell Johnston, John T. DeWolf, David Mazurek, “Mechanics for Materials”, 7th Edition, McGraw-Hill, 2014.
R. C. Hibbeler, “Mechanics of Materials”, 9th Edition, Pearson Education, 2013.
Barry J. Goodno, James M. Gere, “Mechanics for Materials”, 9th Edition, Cengage Learning, 2018.

This course is designed as an introduction to the basic concepts of Probability Theory and Statistics, introducing the fundamentals for the analysis of probability models. Probabilistic modeling is widely used in the engineering sciences as it is a prerequisite for data processing and drawing conclusions and is fundamental to decision making. Students are invited to study the theoretical foundations of probability theory and mathematical statistics and will understand types of practical problems involving uncertainty, related to engineering as well to other scientific fields such as medicine and economics.
On completion of the course, students should be able to:
(a) manipulate the basic concepts of probabilities and calculate them in terms of the possible results of an event;
(b) understand and apply the basic methodologies for analyzing and solving uncertainty problems using models of random variables;
(c) analyze statistical data by hypothesis testing and parameter estimating and draw conclusions; and
(d) attend, without significant gaps, more specialized industrial engineering and management courses.

Research, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Decision making, Working in an international environment, Independent work, Teamwork – distribution of responsibilities, Working in an interdisciplinary environment, Practicing criticism and self-criticism, Promoting free, creative and inductive thinking.

Probability Theory as a framework for describing and analyzing uncertainty. An overview of Set Theory. Basic Probability Models and Axioms.
Independent events. Basic Listing Principle. Combinatorial Principles, Discrete Probability Calculation Applications.
Conditional Probability, Total Probability Theorem, Multiplication Rule, Bayes Theorem. Statistical Independence.
Random Variables: Definition of discrete and continuous random variables, Cumulative Distribution Function, Probability Mass Function, Probability Density Function.
Discrete Random Variables: Moments, Basic Distributions.
Continuous random variables: Moments, Basic Distributions.
Normal Random Variables: Properties, Standard Normal Distribution.
Multiple Random Variables: Joint and Marginal Distributions, Statistical Independence, Derived Distributions: Sum of Independent Random Variables.
Joint Moments.
Boundary Theorems: Markov and Chebyshev Inequalities, Laws of Large Numbers, Central Limit Theorem.
Descriptive Statistics: Frequency Tables, Barcharts, Histograms, Stemplots, Dot Diagrams, Location Measures, Variability Measures.
Statistical Inference, Parameter Estimation, Point Estimation (Moments Method, Maximum Likelihood Estimation), Confidence Intervals. Linear Regression.

Συγγράμματα

Introduction to Probability, 2nd E, Dimitri P. Bertsekas and John N. Tsitsiklis, ISBN-13: 978-1886529236.
Probability and Statistics, Murray R. Spiegel (Schaum’s Outlines), ISBN-13: 978-0071350044
Probability, Random Variables, and Stochastic Processes, 4th E, Athanasios Papoulis, S. Unnikrishna Pillai, ISBN-13: 978-0071226615

Upon successful completion of the course, the student should be able to:
identify and describe basic machine tools used in modern manufacturing applications
acquire the principles of metrology and dimensional measurements
acquire skills of manufacturing and machining various parts using simple tools
be able to distinguish the appropriate processing for various manufacturing designs of parts, while at the same time looking for alternative manufacturing solutions in terms of the processes used be able to prepare the appropriate planning of the processing phases

Research, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Independent work, Teamwork – distribution of responsibilities, Intellectual competences, Societal competence.

Casting procedures and materials. Casting phenomena during solidification-crystallization, castability, casting methods with consumable and permanent mold. Feeding system design. Casting defects. Casting equipment. Die casting presses. Casting tools. Sintering. Powder metallurgy. Tools.
Machine tools: Overview of conventional material-removal processes. Turning. Milling. Drilling. Planning. Cutting fluids. Cutting with single-point and multipoint cutting tools of clearly defined geometry. Mechanics of chip formation. Cutting tools and tool wear. Machinability. Mechanics of grinding. Grinding wheels and grinding wheel wear. Cutting forces, temperature field generation, cutting geometry, cutting tool materials, wear and cutting life.
Metrology: Overview on measurements, measuring instruments, measurement errors, tolerance and fitting systems, standard lengths, dimensional and angle control, dimensional tolerances, shape and position, surface quality measurement. Surface roughness.
Laboratory applications:
• Metrology control of parts.
• Metal casting.
• Manufacturing a mechanical part using machine tools.

Συγγράμματα

Metal casting a simple casting manual for small foundry, Chastain S., Vol. 1, 2004.
The complete handbook of sand casting, Ammen C. A., 1979, McGraw-Hill.
Science and Engineering of Casting Solidification, Stefanescu D. M., Second Edition, 2009, Springer.
Materials Processing during Casting, Fredriksson H., Akerlind U., 2006, John Wiley & Sons Ltd.

After successfully studying this course student will be able to:
Understand basic concepts on Industrial Safety and Health and apply the knowledge to protect employees’ health.
Prevent and estimate risk of an occupational accidents
Understand and use Personal Protective Equipment (PPE)
Understand and use and handle Hazardous Materials
Understand apply Ergonomics

Students will develop the following competences:
Search analysis and synthesis of data and information with relevant technologies
Autonomy and responsibility
Communication and social competences
Study and work in international environment
Study and work in Interdisciplinary environment
New research ideas

Introduction to Industrial Management and Safety
Occupational accident
Personal Protective Equipment
Hazardous Materials
Fire Protection
Radioactivity
Electromagnetic Radiation
Noise
Lighting
Ergonomics
Estimate occupational risks

Συγγράμματα

Health and Safety at Work: An Essential Guide for Managers – Jeremy Stranks, MPG Books Ltd, Bodmin, Cornwall (2008)
Introduction to health and safety at work, Phil Hughes and Ed Ferrett., Routledge Taylor & Francis Group (2016)

The aim of the course is to equip the student with the necessary knowledge and stimuli, to understand the basic parameters, dimensions of the modern socio-economic environment, the globalized information society. The course is interdisciplinary, will not be heavily involved in specialization and analysis of concepts, but is an overview of all the latest developments in science and technology (especially IT) and how these developments affect the social and economic development. Reference will be made to several phenomena, such as Moore’s law, which will give the necessary sense of historical continuity of scientific progress. The aim of the course is for students to understand the big picture, the overall social, scientific, and economic context in which they will be called to develop and act as scientists, professionals, and people. They will learn about the changes that are already visible in the workplace and the challenges posed by automation and the challenge of artificial intelligence.
Upon successful completion of the course the student will be able to:
• Understands key features of modern technological developments that define the information society.
• Knows and can describe basic phenomena and laws that distinguish the operation of individual areas of social and scientific phenomena.
• Distinguishes the basic directions that technological and scientific research has taken and the stakes that arise for the evolution of societies.
• Develop critical ability in relation to the general social, economic, and professional environment.

Research, analysis and synthesis of data and information
Literature review
Adaptation to new situations
Working in an interdisciplinary environment
Respect for diversity and multiculturalism
Respect for the natural environment
Exercise criticism and self-criticism
Demonstration of social, professional, and moral responsibility and sensitivity to gender issues
Promoting free, creative, and inductive thinking
Teamwork – distribution and delegation of responsibilities

1. Introduction, goals, brief history of humanity. Social development and technology. Industrial Revolution. 1st era of machines- Muscular strength. 2nd age of machines-mental power.
2. From the 1st to the 4th industrial revolution, stages, and stations. The information society.
3. What is the effect of the industrial revolution on humanity? How much better is our world and why?
4. Clarification of terms: Fordism, neo-Fordism, modernity, postmodernity.
5. Examples of technological advances. The capabilities of machines threaten the human field of action.
6. Moore’s law, the power of exponential improvement in the digital world. Big Data.
7. Digitization and its effects on the economy. The “free” business model. The limits of innovation. Artificial and human intelligence. Examples of fields of conflict and superiority.
8. Computer abundance. Productivity, labor, GDP from a new digital perspective! Digital assets. Copyright.
9. Digital gap. New inequalities in the information society. Skills, work-capital, and wages. The future of work. Effects of abundance and inequality. Technological unemployment. Globalization.
10. Network Effects. The market of the type “the winner gets it all”. Normal distribution and Power Low distribution.
11. Acting together with the machines. What do computers not know how to do? Educating people. Changes in education.
12. Concerns about the political adaptations of societies. Education, Investment incentives, research, financing, infrastructure, taxation.
13. Suggestions-discussion for the future. Negative income tax. Peer economy and artificial intelligence. Risks and natural limits.

Συγγράμματα

[41955675]: The wonderful age of new technology, Brynjolfsson Eric, McAfee Andrew
[50658376]: The New Digital Age, Eric Schmidt, Jared Cohen
[16078]: Connected, N. CHRISTAKIS, J. FOWLER
[86055966]:21 lessons for the 21st century, Yuval Noah Harari

Students will be able to understand in depth the principles and laws of thermodynamics and fluid mechanics and electromagnetism. They will have initially established the necessary mathematical formalism to describe the above laws. They will be able to describe the state of a fluid and interpret the basic laws. They will be able to construct motion equations for simple simplified models. They will be able to solve problems on these models. They are introduced to the content of the terms of thermodynamics through the treatment of the laws of ideal gas and heat engines, they become familiar with the basic concepts of classical thermodynamics, they extend its method to areas of physics other than gas, they are introduced to the equilibrium problems initial experience of modelling in the analysis of physical problems. They also come in contact with a first approach to the phenomena of the microcosm, the description of phenomena and experiments on light, electrons, atoms and crystals and finally with terms and concepts of Quantum Physics and Crystal Structure, the theories-foundation for the description of the phenomena of the microcosm.

Literature review, Critical review of bibliography, Adaptation to new situations, Autonomous work, Teamwork – distribution and delegation of responsibilities, Promoting free, creative and inductive thinking, Adherence to good practice guidelines.

Fluid Mechanics, Pascal Principle, Archimedes Principle
Flow laws, Real fluids, Viscosity
Exercises in Fluid Mechanics
Heat, temperature.
Thermometers, the ideal gas temperature scale.
Reversible and irreversible process.
Ideal gasses, equation of state, thermal motion of molecules, the Maxwell distribution.
The Van der Waals gas.
The first law of thermodynamics, work, heat, heat capacity calorimetry.
Processes of an ideal gas.
Second law of thermodynamics. Heat engines, Carnot cycle.
Entropy.
Electric charge, Coulomb’s law.
Electric field, Gauss’s theorem.
Electric potential
Planck’s theory of blackbody radiation. Energy quantization. Photons. Photoelectric effect. Compton effect. Pair production.
X-rays production and diffraction.
Bragg scattering. Moseley’s law. Auger electrons. Absorption coefficient.
The solid state structure. Experimental methods for the study of crystalline structure using X-rays.
Molecular bonds. Molecular spectra.

Συγγράμματα

Fluid Mechanics, Robert A. Granger (Dover).
Concepts of Modern Physics,Arthur Beiser, McGraw-Hill Education.
Physics for Scientists and Engineers with Modern Physics. Serway, R.A. and Jewett, J.W. (2014) 9th Edition, Cengage Learning, Boston.
Heat and Thermodynamics 7th Revised edition by Mark W. Zemansky; Richard H. Dittman, THE McGRAW-HILL COMPANIES, INC.

Upon successful completion of the course the student should
• be able to identify and describe the basic elements of a machine
• be able to apply the principles and rules of machine components and mechanical design through the analysis of simple machine components.

• Search, analysis and synthesis of data and information, using the necessary technologies
•Decision making
• Autonomous work
• Exercise criticism and self-criticism
• Promoting free, creative and inductive thinking

1. Introduction
2. Basics of strength of materials
3. Fatigue lifetime calculation
4. Axles and shafts
5. Calculation of resistance to static and dynamic loads
6. Calculation of initial dimensions and maximum operating speed
7. Processing of materials
8. Tolerances and joints
9. Surface roughness
10. Standardization and screw calculations
11. Rolling bearing calculation
12. Welding calculation
13. Modern computational methods

Συγγράμματα

1. Machine Elements I, I. Stergiou and K Stergiou, 2003, in Greek
2. Machine Elements, Ch. A. Papadopoulos, 2nd Ed. Tziolas, 2015, in Greek

The course is designed as an introduction to the basic concepts of analysis and synthesis of linear systems, using the mathematical tools provided by the theory of transformations. On completion of the course, students should be able to:
(a) recognize the basic properties of systems and apply them when solving problems;
(b) interpret and process mathematically, both in time domain and in frequency domain (spectrum), the characteristics of analog and discrete signals as well as the characteristics of linear and time invariant (LTI) systems;
(c) draw the pole-zero diagram of the transfer function of an LTI system and analyze the effect of their position;
(d) calculate the output of an LTI system (for a given input) both in time and frequency domains, by using the appropriate transformations;
(e) model problems of different fields of science (engineering, economics, etc.) through linear and time-varying systems and to analyze them in time and frequency;
(f) formulate the sampling theorem as well as its consequences and apply it to the solution of signal and simple discrete system problems;
(g) interpret the discrepancies between the predicted and measurable behavior of the discrete systems; and
(h) attend, without significant gaps, more specialized industrial engineering and management courses.

Research, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Decision making, Working in an international environment, Independent work, Teamwork – distribution of responsibilities, Working in an interdisciplinary environment, Practicing criticism and self-criticism, Promoting free, creative and inductive thinking.

Signals and Systems: definitions, classification, types of representation. The complex Fourier Series and the Fourier Transform. The Discrete Time and the Discrete Fourier Transform. Basic system properties: linearity, time invariance, causality, stability. Impulse and step response of a system, convolution. Difference equations and differential equations. Analysis of signals and systems in frequency domain. Spectral representation:
magnitude and phase diagrams. Frequency response. Frequency selection filters. Laplace Transform and z-Transform. Transfer function. Pole-zero diagrams. Connecting LTI systems: parallel, cascade and feedback connection. The Nyquist–Shannon sampling theorem. Pulse Width Modulation. Design and implementation of discrete time systems with block diagrams. Parameter accuracy. Applications and examples.

Συγγράμματα

Signals and Systems – 2nd E, Oppenheim, Willsky, Nawab, ISBN 0-13-814757-4.
Signals, Systems and Transforms,4th E, CHARLES L. PHILLIPS , JOHN M. PARR, EVE A. RISKIN, ISBN-13: 978-0-13-198923-8.
Signal Processing & Linear Systems, 2nd E, B.P. Lathi, ISBN-13: 978-0195158335.

The aim of the course is to provide the student with the necessary knowledge to understand the basic principles of operation of a measurement system and to perform measurements in which he will be able to determine their quality. Also to ensure the quality assurance of a product or service through quality control.
Knowledge: Introduction to the science of metrology with emphasis on electrical measurements. Ways to perform measurements of different quantities and calculations of these uncertainties. Principles of operation of analog, electronic, digital measuring instruments. Knowledge around sensor systems and their interconnection circuits (active passive) with recording instruments. Quality Control, Quality Assurance. Quality control tools.
Skills: Calculation of measurement uncertainties (direct-indirect). Error calculations using classical error theory. Operation of analog, electronic, digital. Measuring instruments with emphasis on electrical measurements. Implementation of sensor interface circuits with recorders. Use of quality control tools.
Competences: Implementation of measuring instrumentation by developing capabilities of measuring various physical quantities, calibrating and calculating uncertainties. Quality assurance of measurements and quality control of instruments and automation systems. Design of a product or service quality assurance system.

Research, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Independent work, Teamwork – distribution of responsibilities, Intellectual competences, Societal competence.

• Introduction to Metrology, Static – Dynamic characteristics of measuring instruments
• Classical error theory,
• Measurement uncertainty, Type A, B uncertainty,
• Uncertainties in analog-digital instruments, Uncertainty of direct-indirect measurement
• Classification-types of measuring instruments, Analog – Digital instruments,
• Transducer sensors, Measurement of motion, level, volume, weight, temperature, flow pressure,
• Passive, active interconnection circuits.
• Introduction to quality and quality control
• Control charts – terminology
• Variable control charts
• Attributes control charts
• The sampling technique – acceptance sampling
• Quality assurance standards – quality control tools.
Laboratory Exercises: Oscilloscope, Potentiometer, Measurement Errors, Operational Amplifiers, Non-inverting, Follower, Inverting, Summing,
Differential amplifier, Input Bias Current, slew rate, Non-inverting voltage conversion to current, Differential voltage converter to current,
Differentiator, Integrator, Measuring sensors

Συγγράμματα

Metrology and Quality Control, Avinash M Badadhe, Technical Publication Pune.
The Measurements Instrumentation and Sensors Handbook, Editor John Webster, CRC Press.
Introduction to Statistical Quality Control, Sixth Edition, Douglas Montgomery, John Wiley and Sons.

Ο στόχος του μαθήματος είναι να εξοικειώσει το φοιτητή με τις έννοιες της Μηχανικής των Ρευστών και ιδιαίτερα με τις εφαρμογές των νόμων της στην σχεδίαση και την παραγωγή ρευστοδυναμικών μηχανών όπως αντλιών, συμπιεστών, τουρμπινών, υπερπληρωτών κλπ.
Το μάθημα αποτελεί το βασικό εισαγωγικό μάθημα στις έννοιες της Μηχανικής των Ρευστών.
Η ύλη του μαθήματος στοχεύει στην εισαγωγή των σπουδαστών στην επιστήμη του Μηχανολόγου Μηχανικού. Ο φοιτητής αποκτά γνώσεις της Μηχανικής των Ρευστών σχετικά με τη συμπεριφορά τους σε στατικές και κινηματικές καταστάσεις με στόχο την διερεύνηση της επίδρασης αυτών σε εξαρτήματα ρευστοδυναμικών μηχανών. Οι γνώσεις αυτές είναι αναγκαίες και χρησιμοποιούνται σε πολλά επόμενα μαθήματα του Μηχανολόγου, όπως Αεροδυναμική, ρευστοδυναμικές μηχανές, μηχανές εσωτερική καύσης κλπ.
Με την επιτυχή ολοκλήρωση του μαθήματος ο φοιτητής / τρια θα είναι σε θέση να:
• Έχει κατανοήσει τα βασικά μεγέθη που διέπουν την κατάσταση των ρευστών, όπως πίεση, ταχύτητα, θερμοκρασία, πυκνότητα, ιξώδες, διατμητική τάση κλπ.
• Έχει γνώσεις υπολογισμού της επίδρασης των στάσιμων ρευστών σε στερεά σώματα και διάφορα μηχανολογικά εξαρτήματα (υδροστατικές και αεροστατικές δυνάμεις σε δοχεία, δεξαμενές, φράγματα, θυρίδες ελέγχου στάθμης κλπ.).
• Θα γνωρίζει και θα μπορεί να εφαρμόζει τις θεμελιώδεις εξισώσεις που διέπουν την κίνηση των ρευστών (εξισώσεις διατήρησης της μάζας, της ορμής και της ενέργειας των ρευστών) ώστε να μπορεί να προσδιορίσει την κινητική κατάσταση των ρευστών μέσα και γύρω από διάφορα μηχανολογικά εξαρτήματα, όπως για παράδειγμα σε ροές σε αγωγούς κεντρικής θέρμανσης, ύδρευσης, κλιματισμού.
• Θα γνωρίζει και θα μπορεί να εφαρμόζει τους νόμους της Μηχανικής των Ρευστών για των υπολογισμό δυνάμεων και ροπών που ασκεί το ρευστό στα περιβάλλοντα στοιχεία κατά την ροή του σε μηχανήματα.

Αναζήτηση, ανάλυση και σύνθεση δεδομένων και πληροφοριών, με τη χρήση και των απαραίτητων τεχνολογιών.
Ομαδική Εργασία.
Σχεδιασμός και Διαχείριση Έργων.
Προαγωγή της ελεύθερης, δημιουργικής και επαγωγικής σκέψης.

The English Version of the 1-page Syllabus of this course is not yet available.

Συγγράμματα

Συγγράμματα μέσω του συστήματος ΕΥΔΟΞΟΣ
Μηχανική Ρευστών, 1η Έκδοση, Πρίνος Παναγιώτης, ISBN: 978-960-456-419-4
Μηχανική Ρευστών, 8η Έκδοση, Munson – Okooshi – Huensch – Rothmayer

Students will demonstrate an understanding of production as a process of converting or transforming resources into products; demonstrate an understanding of the manager’s concern in planning, organizing, directing, and controlling productive operations to meet organizational objectives; They will also understand productivity measures, quality and costs, both direct and indirect, and they will use a variety of problem-solving techniques to aid in effective decision making.

Search, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Independent work, Teamwork – distribution of responsibilities.

Operations management and productivity
Quality and statistical process control
Forecasting demand methods
Design goods and services
Process strategies and capacity planning
Location strategies and layout strategies
Human resources strategy
Supply-chain management
Inventory management
Aggregate scheduling
Material requirements planning management
Principles of project management
Maintenance and reliability

Συγγράμματα

Scheduling: Theory, Algorithms and System, M. Pinedo, Springer, 2008;
Production and Operations Analysis, 6th Edition, McGraw-Hill/Irwin Series Operations and Decision Sciences, Steven Nahmias, 2008.
Operations Management, Stevenson, W.J., 12th Edition. McGraw-Hill Education, 2015.
Production Systems Engineering, J. Li and S.M. Meerkov, Springer, 2009.
Facilities Planning, James A. Tompkins, John A. White, Yavuz A. Bozer, J.M.A. Tanchoco.
Product Design and Development, th Edition, K.Ulrich, S. Eppinger.
Engineering Design Methods: Strategies for Product Design, 4th Edition, N. Cross, Wiley, 2008.

KNOWLEDGE
Understanding of the Micro-Electro-Mechanical-Systems (MEMS) fabrication processes
Understanding of operating principles of micro-sensors, micro-actuators and micro-generators
Understanding of the main successful examples of MEMS technology
ABILITIES
Design of MEMS devices
Process flow design for the fabrication of MEMS.
Evaluation of the prospects for new microsystems
Use of MEMS methods and services in the production process

Search, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Independent work, Teamwork – Respect to the natural environment, Promotion of free, creative and inductive thinking

1. Introduction to MEMS
2. Importance and capabilities
3. Scaling
4. MEMS materials
5. Micromachining techniques
6. Lithography
7. Process flows
8. MEMS Electronics
9. MEMS Mechanics
10. MEMS Application 1 (Micro-Energy)
11. MEMS Application 2 (Micro-Robots)
12. MEMS Foundries
13. Summary

Συγγράμματα

Microsystem Design, Stephen D. Senturia, ISBN: 9780306476013, 2001
Introduction to Solid State Physics 8th Edition, Charles Kittel, ISBN-13: 978-0471415268, 2004

Upon successful completion of the course the student will:
– Obtain a deep knowledge of object-oriented programming, inheritance, dynamic data structures, implement data processing algorithms in object-oriented approach
– be able to analyze and develop complex programs that follow the object -oriented approach

Competency in analyzing and developing object-oriented programs.
Independent work, Teamwork – distribution of responsibilities.

Introduction to object-oriented programming
Constructors and Destructors
Function and Operator Overload
Inheritance
Recursive Functions
Algorithms
Exception Handling
Linked lists
Laboratory Exercises and applications in C/C++

Συγγράμματα

Object-Oriented Programming, Lecture Notes, D.E. Manolakis, Uploaded to moodle (Greek language)
English Language Textbooks
Object Oriented Programming in C++, R. Lafore, CourseSams Publishing
C++ How to Program (Early Objects Version), Paul Deitel, Harvey Deitel, 10th Edition, 2017, Pearson
Problem Solving with C++, Walter Savitch, Kenrick Mock (contributor, 10th Edition, 2018, Addison-Wesley Professional
Journals:
Computing in Science & Engineering (co-published by IEEE and AIP)
IEEE Transactions on Computers
IEEE Transactions on Software Engineering
Science of Computer Programming
Material from Internet:
www.tutorialspoint.com/cprogramming/
http://www.tutorialspoint.com/cplusplus/
http://www.learn-c.org/
http://www.cplusplus.com/

The C++ Tutorial

http://www.cprogramming.com

KNOWLEDGE
Functionality of the digital sequential electronics building blocks
Applications of the digital electronics building blocks
ABILITIES
Synthesis of sequential digital circuits
Simulation of advanced digital electronic circuits
Identification, analysis, design and implementation of applied advanced digital circuits

Search, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Independent work, Teamwork – distribution of responsibilities.

1. Latch, Flip/Flop
2. Shift registers
3. Asynchronous and synchronous counters
4. Moore and Mealy circuits
5. Mealy circuits synthesis: state assignment and coding
6. State elimination of redundant states
7. Asynchronous circuits analysis
8. Asynchronous circuits synthesis
9. Races and hazards
10. Simulation of combinational circuits
11. Assembly and testing of digital circuits
12. Digital circuits optimization

Συγγράμματα

Microelectronic Circuits, Sedra Adel, Smith Kenneth, Tony Chan Carusone and Vincent Gaudet, 8th Edition, ISBN-10: 0190853506, 2020
Digital Electronics Principles and Applications, Roger L. Tokheim, Patrick E. Hoppe, 9th Edition, ISBN-10: 1260597865, 2021
Digital Electronics: A Practical Approach, W. Kleitz, 9th Edition, ISBN-10: 1292025611, 2013
Microelectronic Circuit Design, Jaeger Richard – Blalock Travis, 5th Edition, ISBN-10: 0073529605, 2015

The aim of the course is to teach students both the necessary theoretical knowledge and the practical tools of the Internet of Things as well as trustworthiness management in it.
Upon successful completion of the course students will:
– be able to apply knowledge in practice, search, analyze and synthesize data and information using the necessary technologies
– be able to recognize and distinguish the principles and key features of trustworthiness on the Internet of Things and its development and use methodologies
– be able to describe the principles of trustworthiness and the Internet of Things, analyze and design systems and evaluate, compare and select the most appropriate methods in each case they study
– be familiar with methods of developing trust management systems and the Internet of Things
– is able to make decisions and work individually and / or in teams to design, develop and manage system applications

Research, analysis and synthesis of data and information
Using corresponding technologies
Setting objectives
Project design
Setting priorities
Decision making
Monitoring results
Autonomous work
Developing new research ideas
Adherence to good practice guidelines

• Introduction to the Internet of Things and trust management
• Infrastructure and equipment of the Internet of Things
• Internet of Things applications
• Reference architecture, scaling, standardization and trustworthiness
• Artificial Intelligence Technologies and Intelligent Agents on the Internet of Things
• Knowledge Representation and Communication
• Trustworthiness management models
• Game Theory, Social Choice Theory
• Negotiation
• Argumentation / Logical Argumentation
• Interoperability and Ontological Approaches
• Embedded Systems, Development Platforms, Operating Systems
• Learning, Systems Development, Simulation, Practical Part, Examples

Συγγράμματα

Kalovrectis K. (2018) Basic Structures of Embedded Systems. Markella I. ISBN: 978-960-7996-80-0
Kalovrectis K., (2018) Measurement and Control Sensors, 3rd Edition. PUBLICATIONS A. TZIOLA & SONS SA ISBN: 978-960-418-758-4
Russell S. & Norvig P. (2009). Artificial Intelligence: A Modern Approach (3rd Edition). Pearson, UK. ISBN 0136042597

– Understanding the underlying physical processes and the effects of temperature and friction during the plastic deformation of metallic materials.
– Learning the basic principles and laws of the theory of plasticity and applying them to assess the deformation potential, the required force and work and the final properties of the work pieces.
– Getting acquainted with the main methods of metal forming as well as the design and use of relevant machinery and tools.
– Developing the ability to plan, to select the appropriate material and equipment and to perform the necessary calculations for the production of the desired parts.

Research, analysis and synthesis of data and information
Using corresponding technologies
Decision making
Autonomous work
Promoting free, creative and inductive thinking

Classification and application of metal forming processes.
Effects of plastic deformation on the crystal lattice of metallic materials, shifting of lattice defects, hardening and aging of metals, stress – strain curves.
Annealing, recrystallization, cold and hot plastic deformation.
Friction and lubrication in forming processes, surface protection, types of lubricants and their application.
Elements of the theory of plasticity: yield criteria, fracture, stress – strain relation, continuity equation, plastic flow rule, equivalent stress and equivalent strain, calculation of force and work.
Forming processes: Forging, extrusion, rolling, cutting, bending, deep drawing.
Cutting and shaping tools.
Design and operation of metal forming machines: shearing machines, sheet bending machines, tube bending machines, punches, screw presses, eccentric presses, hydraulic presses.

Συγγράμματα

https://moodle.teithe.gr/pluginfile.php/17236/mod_resource/content/0/ΔΙΑΜΟΡΦΩΣΕΙΣ ΧΩΡΙΣ ΑΦΑΙΡΕΣΗ ΥΛΙΚΟΥ – ΘΕΩΡΙΑ.pdf (in Greek)
https://moodle.teithe.gr/pluginfile.php/17237/mod_resource/content/0/ΔΧΑΥΤ – ΑΣΚΗΣΕΙΣ.pdf (in Greek)
T.Z. Blazynski: Plasticity and Modern Metal-forming Technology, 1989, Elsevier, ISBN 978-1-85166-272-2
S. Kalpakjian, S. Schmid: Manufacturing Engineering and Technology Prentice Hall; 5th edition

The course develops a basic understanding of the fundamental concepts of control systems theory from a mathematical and physical point of view.
Extensive reference is made to the concepts of mathematical modelling and dynamic behaviour of systems, in both time and frequency domains. The course introduces and completes the basic theory of analysis of continuous time control systems based on the mathematical model of the transfer function. The consolidation of the course material creates the basic background and is a prerequisite for the understanding of related courses that follow in the curriculum, such as Control Systems II, Control Systems III, Process Control and Digital Control Systems.
Upon successful completion of the course the student will be able to:
– understand the use of feedback in controlling closed loop systems and the advantages it offers;
– examine stability using a variety of methods and predict the response time characteristics of systems of any order;
– apply the process of mathematical representation and analysis of closed loop systems both in the time and frequency domains;
– attend more specialized courses of the theory and practice of automatic control systems.
– recognizes and uses MATLAB software and its tools with ease

Research, analysis and synthesis of data and information using corresponding technologies, decision making, adaptation to new situations, promoting free, creative and inductive thinking, independent work, teamwork.

Laplace transform, inverse Laplace transform, method of residuals.
Basic concepts of open and closed loop automatic control systems, advantages of the use of feedback, real-world examples.
Mathematical representation of systems in the time domain, mathematical models, models of physical systems.
Block diagrams, transfer functions, time response characteristics.
Characteristics of closed loop systems, steady state errors.
Mathematical representation of systems in the frequency domain (frequency response, Bode diagrams, Nyquist diagrams, Nichols chart).
Introduction to the concept of stability, Routh-Hurwitz and Nyquist stability criteria, root locus.
Exercises and applications in MATLAB.

Συγγράμματα

Control Systems Engineering , Norman Nise
Modern Control Systems, Dorf & Bishop
Feedback Control of Dynamic Systems , Franklin & Powell
Modern Control Engineering, Ogata
Analog and Digital Control System Design: Transfer-Function, State-Space, and Algebraic Methods , C.T. Chen
Automatic Control Systems, Kuo
Design of Feedback Control Systems, Stefani, Bahram Shahian, Clement J. Savant

The aim of the course is to provide theoretical and descriptive experience on the basic principles of electrical machines technology and the technology of the electronic power converters for motor driving. In particular, it puts emphasis on the documentation of the various types of electrical motors that have a significant role in industrial technological applications, the analysis of their operating principles, their construction details and their mathematical modelling. Furthermore, the course focuses also on electrical energy conversion applications with direct use in an industrial environment and motion applications such as AC/DC and DC/DC power supplies and DC/AC inverters, presenting their operational characteristics, their construction details and modelling principles. Being a course with a specific scientific and technological area focus, it offers to the new Industrial & Management Engineer the background for the comprehension and the implementation of various applications that refer to motor drive systems and their speed and torque control. In addition, it provides the opportunity to understand the use of power electronics converter systems for motor drives. The consistent and successful completion of the course, has the expected outcome to enable the student to:
a) identify the type of an electrical machine, classify it and be in a position to electrically connect it.
b) comprehend the basic properties of each type of an electrical machine and determine its mechanical and electrical behaviour.
c) select, based on technoeconomic criteria, the optimal type of electric motion for a particular application.
d) calculate the efficiency of a motor drive system.
e) take decisions on preventive and repressive maintenance of electrical motors.
f) be in a position to classify the various power electronic converters based on their characteristics and the type of application.
g) be in position to understand the basic operational specifications of an existing (currently in use) power electronic converter and to set the necessary specifications of new converters based on the intended application.
h) comprehend the operational characteristics of a converters, the potential impact of their operation on power quality in an industrial environment and the ways to alleviate the consequences.
i) understand the construction characteristics and the structure of the converters, so that, if possible, to be in a position to replace parts or perform maintenance.
j) understand the basic principles of power converters use for industrial control of energy supply and motion systems.
k) be in a position to perform basic design of power converters use, depending on the application.

Practical application of knowledge, search, analysis and synthesis of information and data using appropriate technologies; Adjustment to new situations; Decision making; Autonomous work; Team work; Work in an interdisciplinary environment.
Design and project management; promotion of free, creative and inductive thinking; priorities setting; production of new research ideas; compliance to guidelines of good practices.

1. Basic principles from rotating systems mechanics: angular speed, mechanical power of a rotating shaft, moment of inertia, Newton’s law for rotation, energy, mechanical work, power, principle of energy/power conservation. Introduction: basic families of motor drives converters and indicative applications, basic mathematical principles (DC and rms values of voltage and current waveforms).
2. Basic principles from electromagnetic fields theory (electrotechnology). Magnetic flux production. Permanent magnets, electromagnets, ferromagnetic materials, magnetization (hysteresis) curve. DC and AC electrical circuits, using switches: state-space analysis and equations, plotting of current waveforms, basic calculations and examples.
3. Faraday’s induction law, Laplace force on a current carrying conductor, electromotive (emf) force on a conductor that moves inside a magnetic field. Magnetic flux density and intensity.. Measurement units Wb, T, A/m. Basic power electronics switches in motor drives converters: diode, thyristor, power transistor, IGBT, MOSFET, GTO, characteristics and applications examples.
4. Transformers. Power diodes: use, selection, basic circuits with power diodes (single and three phase), ripple calculations, capacitor charging/discharging issues, examples. Diode converters specifications.
5. The simplest electrical machine: two conductors inside a constant magnetic field. Voltage production, torque production. Brushes. The general case for more conductors. Equations E=kωφ anf T=kIφ. Structure of a DC machine. Thyristors: use, selection, basic circuits with controlled AC/DC motor drive converters (single or three phase) using thyristors, ripple calculations, examples. Thyristor converters specifications.
6. Armature reaction, distortion of magnetic field, reduction of magnetic flux under load conditions, solutions applied. Winding types, lap and wave windings. Construction details: axis (shaft), bearings, fan, commutator, brush holders, cooling fins, technological materials. The principle of “power quality”: harmonics in power networks, origin, presence in dc and ac systems, effects, harmonic standards requirements, THD.
7. Type of DC motors excitations: permanent magnets (PM), separately-parallel-in series-compound excited machines. Speed/torque characteristic for each type of excitation. Typical applications of each type of the machines. Introduction to single phase inverters with power transistors: basic operational principles, principles of modulation, PWM, applications and examples.
8. Speed control in a DC motor. Variable speed drives (DC drives): principle of operation and industrial applications. PWM operating principles, basic control parameters, implementation of sinusoidal PWM and applications in DC/AC converters. PWM harmonics. Examples and design.
9. AC machines classification map. Terminology. The permanent magnet synchronous machine as a reversed DC machine. Rotating magnetic field. Brushless commutation in the stator. Similarities and differences with the DC machine. Three phase inverters with power transistors: basic operating principles, 6 pulse and PWM operation. Applications in motor drive systems. Introduction to basic motor control principles.
10. Introduction to the permanent magnet synchronous motor: PMAC, PMSM and BLDC machines. Drives requirements for operating synchronous motors. Starting torque and acceleration procedure. Description of a basic servo drive. Speed control. AC motor drives operating principles – control methods.
11. Short introduction to separately excited synchronous machines as generators. Special machines for servomotor systems: step motor, synchro machine etc. Short introduction to induction motors. Capability of producing a magnetic field from the rotor without PM or electromagnets. DC/DC step down (buck) converter: operating principle, design, application, voltage control.
12. The rotating transformer. Types of rotor winding in an induction motor: squirrel cage and wound rotor machines. Slip. The nameplate of an induction motor. Star (Y) and Delta (D) connection. Terminal box. DC/DC step up (boost) converter: operating principle, design, application, voltage control.
13. The equivalent circuit of an induction motor. Parameters that influence the magnetizing current. Speed control with VFD. Speed/torque characteristic for a squirrel cage and wound rotor machine. Wound rotor machine application in contrast to the squirrel case. Power losses in an induction motor. Examples, exercises. Operating principles of DC motor drives – control methods.

Συγγράμματα

1. Chapman S., «Electric Machinery Fundamentals», 5th Edition, ISBN-13: 978-0073529547, McGraw Hill
2. Fitzgerald, Kinglsey, Umans, “Electric Machinery”, 6th Edition, ISBN-13: 978-0071230100, McGraw Hill
3. Mohan N., Undeland T and Robbins W, “Power Electronics: Converters, Applications and Design”, ISBN-13: 978-0471226932, John Wiley & Sons Inc.

KNOWLEDGE
Introduction to Database Systems and Data Structures
Assessment of database architectures and their use in ICT applications
Database Entities and Database Schema Design
Relational databases and Entity Relationship Diagram Design
Introduction to the SQL programming language
Identification of the basic user roles in modern Database Systems
Data and Information
ABILITIES
Analysis, design and implementation of Database Systems
Designing and implementing Entity Relationship Diagram models
Assessment database architectures
Using data structures in databases

Search, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Independent work, Teamwork – distribution of responsibilities.

Theory:
1. Introduction to Database Systems
2. Introduction to Data Structures
3. Relational Database – Data Modelling
4. Database Entities and Data Structures
5. Database Constraints
6. Database Design Diagram
7. Introduction to SQL (Structured Query Language) a standardized programming language
8. Complex SQL queries
9. Database indexes, Database Views, Query optimization,
10. Non-relational Databases (NoSQL databases)
11. Big Data management
12. Information retrieval and Data Mining
13. Databases Management Systems – Database Security
Lab:
1. Introduction to database management tools and technologies
2. Access database management system
3. Hands-on for building a relational database
4. Data entry in database systems
5. Creating simple and complex queries
6. Manipulating data using sql queries

Συγγράμματα

Modern Database Management Hardcover by Jeffrey A. Hoffer (Author), V. Ramesh (Author), Heikki Topi ISBN: 978-960-418-502-3
Database Management Systems, 3rd Edition Raghu Ramakrishnan (Author), Johannes Gehrke (Author) ISBN: 978-960-418-411-8

Learning goals:
Presentation of fault types and the fundamental natural and mechanical material characteristics that can be identified / measured using non-destructive testing methods.
Presentation of the main methods of non-destructive testing and material measurement techniques.
To become proficient in method selection and device design, and use appropriate instrumentation to conduct non-destructive tests and measurements.
To proficiently evaluate NDT results.
Design and implement quality control of materials and products. To perform measurements at different scales without destroying the measured object.

Search, analysis and synthesis of data and information using the appropriate technologies, Adaptation to new situations and technical problems, Team work, Working in an international environment, Working in a multi-disciplinary environment, Production of novel research ideas.

1. Introduction to non-destructive testing (NDT)
2. Visual and optical testing
3. Liquid penetrant testing
4. Magnetic particle testing
5. Electromagnetic – Eddy current testing
6. Radiographic testing
7. Radiation protection
8. Ultrasonic testing
9. Thermal / infrared testing
10. Acoustic emissions
11. X-ray florescence analysis, XRF testing
12. Educational visit to a relevant company
Presentation of student projects – discussions

Συγγράμματα

Nondestructive Testing, Theodoros Matikas [in Greek]
Handbook of Nondestructive Evaluation, Charles Hellier
Introduction to Nondestructive Testing: A Training Guide, Paul Mix
Industrial Radiology: Theory and Practice (Non-Destructive Evaluation Series), R. Halmshaw