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Modules - Department of Automation Engineering

1st Semester

MATHEMATICS I

Module Description

Full Module Description:
Mode of Delivery: Lectures, laboratories , distance learning methods
Weekly Hours:  Lectures 4
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

The aim of the course module is to provide students with: 

 1. Knowledge of solving linear systems using Linear Algebra. 

2. Ability to solve equations using complex numbers.  

3. Ability to use integrals and in order to solve mathematical and mechanical problems.   

4. Calculating integrals using the appropriate methods. 

6. Knowledge of vector’s analysis  (inner product, angle, external product, etc)  

Module Description

1. Introduction to vector’s analysis 

2. Inner product, external product, angle, vector measure. 

3. Basic laws of complex numbers.

4. Calculations in complex numbers.

5. The N-th roots of the unit.

6. The N-th roots of a complex number.

7. Calculating powers of complex numbers.

8. Introduction to matrices.

9. Solving linear systems using Crammer’s method.

10. Gauss’s Method in linear systems.

11. Inverse Matrix

12. Eigenvalues and Eigenvectors

13. Introduction to integrals and basics calculating methods.

14. Integrated problems solving.

Assessment Methods and Criteria

Written examination: 100%

Recommended or required Bibliography

Essential reading

1. “Mathematics  I”. E. Katopodis, Α. Μakrigiannis, S. Sassalos (in Greek)

2. “Μathematics I” D. Anastasatos, (in Greek)

 

Recommended Books

 

Linear Algebra  G. Strang. (in English) 

PHYSICS

Module Description

Full Module Description:
Mode of Delivery:

 Lectures, laboratories , distance learning methods

 
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1.In-depth knowledge and critical understanding of the principles and laws of physics (Mechanics, Waves  and Thermodynamics) in order to built  a knowledge base that is essential for monitoring the evolution of modern technology.

2. Knowledge and skills to handle simple differential and integral calculus to calculate physical quantities (position, speed, acceleration, energy, power, torque, heat, etc.) to predict the behavior of physical quantities, compare and draw conclusions.

3. Knowledge and skills in using the methods and the most basic techniques of experimental physics

4. Ability to handle measuring devices to acquire and evaluate measurements, and find  relations among physical quantities

Specifically, students will be able to:

1. To calculate physical quantities (position, speed, acceleration, energy, power, torque etc)

2. To predict the behavior of physical quantities, and choose appropriate parameters to achieve desired behavior

3. Handle devices and experimental physical quantities measuring devices

4. Acquire and analyze measurements, find relations between physical quantities and calculate or estimate errors.

5. To decide whether the measurements are within the experimental uncertainties or if there is bias in some or all of the experimental setup

Module Description

1.Introduction - An Overview of the mathematical background

2.Linear Motion, Vectors, Motion in two dimensions

3.Circular motion, - Dynamics Newton’s three laws of motion- Momentum, Galilean transformation,

4.Work, Power,  Energy - Energy Conservation

5.Kinematics and dynamics of rigid bodies

6.Gravitational Interaction, Kepler Laws.

7.Oscillatory Motion

8.Waves

9.Thermal properties of matter

Laboratory Exercises 

1. Measurement and Errors

2. Graphs

3. Micrometer

4. Work - kinetic energy theorem

5. Simple pendulum

6. Hook's Law  - Calculation of the spring constant.

7. Calculation of Young's modulus

8. Determination of the density by means of buoyancy.

9. Calculation of the coefficient of internal friction of liquids by using falling slugs.

10. Measuring lens focal distance.

11. Measuring of specific heat liquid

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercises: 40%

Optional job preparation and presentation of up to 24%, less than the proportion of written examination

Recommended or required Bibliography

1.      1. H.D. YOUNG: Πανεπιστημιακή Φυσική Α Τόμος

       2. R.Serway :PHYSICS FOR SCIENTISTS AND ENGINEERS (ΜΕΤΑΦΡΑΣΜΕΝΟ Α΄ ΤΟΜΟΣ )

       3. Haliday-Resnick-Walker: «Φυσική » A Τόμος Εκδόσεις Gutenberg

       4. Α.Ζήσος:  «Φυσική Ι» Σύγχρονη Εκδοτική

       5. Η.Ohanian: «Φυσική » A Τόμος Μηχανική

       6. «Οι Εννοιες της Φυσικής», P. G. Hewitt, Τόμος Ι (εκδ. Πανεπιστημιακές Εκδόσεις Κρήτης).

 

COMPUTER PROGRAMMING I

Module Description

Full Module Description:
Mode of Delivery:  Face to face Lectures and laboratories , distance learning methods
Weekly Hours:
  Lectures 2, Laboratory 2
ECTS:  4
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1.The ability to write, compile and debug programs in C++ language

2.A good knowledge and understanding of programming using a structured language

3.Knowledge and skills in using algorithms for general purpose programming.

4.Knowledge and skills in developing medium scale programming projects.

 

Module Description

1.Introduction to Programming

2.Fundamental types, input, output.

3.Principles of structured programming

4.Decisions 

5.Iteration

6.Arrays

7.Functions

8.Pointers and References

9.Advanced Functions

10.Strings

11.Structures

12.Introduction to classes 

13.Advanced applications 


 

Assessment Methods and Criteria

 

 Written examination: 60%

Laboratory exercise: 40%

 

Project presentation of up to 20%, towards the written examination 

Recommended or required Bibliography

 

1.SCHAUM'S ΠΡΟΓΡΑΜΜΑΤΙΣΜΟΣ ΜΕ C++, JOHN R. HUBBARD 

2.Χατζηγιαννάκης N.M., Η γλώσσα C++ σε βάθος,2η εκδ., ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ, 2013.

3.Liberty J., Πλήρες εγχειρίδιο της C++,5η εκδ, Α. ΓΚΙΟΥΡΔΑ & ΣΙΑ ΟΕ, 2006.

4.Bjarne Stroustrup, The C++ Programming Language, 4th Edition, 2013.

5.Tony Gaddis,Starting Out with C++ from Control Structures to Objects, 8th Edition, 2014.

6.Deitel & Deitel, (Harvey & Paul), C++ How to Program (5th Edition), 2005.

7.D. S. Malik, C++ Programming: From Problem Analysis to Program Design, 2014.

8.Free online books (pdf, epub)

9.Lecture and Lab Notes  

ELECTRICAL ENGINEERING I

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , Face-to-face
Weekly Hours:  Lectures 4, Laboratory 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1. In-depth knowledge and critical understanding of circuit theory through the application of techniques and principles of electrical circuit analysis to common circuit problems. 

2.Develop an understanding of the fundamental laws and elements of electric circuits 

3.Knowledge and skills to respond to tasks requiring wiring circuits using electric components / multimeter / oscilloscope to measure currents and voltages. 

4.Knowledge and ability to  analyze and evaluate measurements 

 

Specifically, students will be able :

 

1.To understand basic electrical properties

2.To apply Kirchhoff's laws, linearity, superposition, and Thevenin's theorem in the design and analysis of DC circuits. 

3.To handle Electric sourses, multimeters, oscilloscope and make independent measurements.

4.To make measurements  of current and voltage, correlate electrical quantities and calculate or estimate errors

To evaluate whether the measurements are within the experimental uncertainties and detect systematic errors

Module Description

1.Electric charge. Coulomb’s law. Electric work. 

2.Potential. Potential difference.  Electric current. 

3.Power. Energy. 

4.Resistance. Resistivity. 

5.Ohm’s law. Kirchoff’s law. 

6.Circuit elements in series. Circuit elements in parallel.

7.Ideal current source.-Ideal Voltage generator. Internal resistance. 

8.Mesh current method. Node voltage method. 

9.Thevenin’s theorem. Norton’s theorem.

10.Superposition’s theorem.

11.Capacity. Inductors. 

12.Electromagnetic flux.

 

Laboratory Exercises

 

1.Introducton 1 (Multimeters-Breadbord-Resistors)

2.Introducton 2  (Potential. Potential difference.  Electric current/Voltage, Ohm’s law)

3.Circuit elements in series - Circuit elements in parallel.

4.Kirchoff’s law KLC

5.Kirchoff’s law KLV

6.Superposition’s theorem.

7.Ideal /Real Voltage generator. Internal resistance

8.Thevenin’s theorem. 

9.Norton’s theorem. 

Assessment Methods and Criteria

 Written examination: 60%

Laboratory exercise: 40%

Optional job preparation and presentation of up to 24%, less than the proportion of written examination

Recommended or required Bibliography

1.Χατζαράκης Γεώργιος : Ηλεκτρικά κυκλώματα, Εκδόσεις Τζιόλα

2.Χαριτάντη Γ: Ηλεκτρικά κυκλώματα,  Εκδόσεις  ΔΕΜΕΡΝΤΖΗΣ ΠΑΝΤΕΛΗΣ

3.ΗλεκτροτεχνίαΙ&ΙΙ  Γ.Πολίτης-Δ.Πυρομάλλης.

4.Sadiku-Alexander, Εισαγωγή στα Ηλεκτρικά Κυκλώματα, Εκδόσεις Τζιόλα, 2013, ISBN 9604182625.

5.John O’Malley, Schaum's Outline of Basic Circuit Analysis, (2nd Ed.), McGraw-Hill, 2011, 

6. Ηλεκτροτεχνία, Ν. Κολιόπουλου –Η. Λ ΌΗ

 

ELECTRICAL / ELECTRONIC DRAWING

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 3, Laboratory 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1. In-depth knowledge and critical understanding of the theory and principles of the use of new technologies and information systems in the design of VLSI.

2. Knowledge and skills in modeling and simulation systems, optimization and design of integrated circuits. 

3. Knowledge and synthesis skills, construction, programming, maintenance, supervision of operation, debugging and design circuits. 

Specifically, students will be able to:

1. To describe and identify the parts of circuits and draw up specifications.

2. To explain the operation of a ORCCAD system, to assess performance and to calculate the operating parameters.

3. To develop and specialize the applications of a ORCAD SOFTWARE PROGRAMA, compose and organize new applications and to evaluate the system performance.

4. Implement certification and quality improvement techniques and support VLSI circuits.

5. To know and apply the rules and recommendations related to environmental protection.

Module Description

Section 1: DESIGN ICs – use of the MICROWIND / Orcad 

Section 2: Design Inverter- use of the MICROWIND / Orcad

Section 3: DESIGN nand 2 use of the MICROWIND / Orcad 

Section 4: DESIGN and 2 use of the MICROWIND / Orcad

Section 5: DESIGN carry cell use of the MICROWIND / Orcad

Section 6: DESIGN cmos use of the MICROWIND / Orcad

Section 7: Micro and Nano electronics - Current status and prospects

Section 8: PROCESSES Microelectronic – Nano-electronic I

Section 9: PROCESSES Microelectronic – Nano-electronic II

Section 10: TECHNOLOGY PROCESSES M.O.S.

Section 11: MAKING PROCESSES Photolithography

Section 12: DEPOSITION PROCESSES – Evaporation

Section 13: MICROELECTRONICS - Nano - DEVELOPMENTS

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Optional job preparation and presentation of up to 24%, less than the proportion of written examination

Recommended or required Bibliography

1.Σχεδίαση CAD και ηλεκτρονική κατασκευή, Κοκκόσης Απ., Σύγχρονη Εκδοτική ΕΠΕ

2.Διαδικτυακή Βιβλιογραφία Ανανεούμενη Ετήσια

3.Εργαστηριακές Ασκήσεις - Διδακτικές Σημειώσεις Διαδικτυακή 

OPENCOURCES.TEIPIR.GR

SIGNALS & SYSTEMS

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face lectures and Laboratories  
Weekly Hours: Lectures 3 
ECTS:  4
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

                        

1. A good understanding of the meaning of a signal and a system, both in continuous and discrete time, and the way a system acts on a signal. 

2. An ability to use Mathematics for the analysis of a system’s  operation.

3. Useful knowledge and background for more advanced courses of the program of study. 

 

Specifically, students will be able:

 

1. To identify and comprehend the structural parts of a system that has one or more input signals and one or more output signals.  

2. To evaluate the performance of a system and identify the output signal knowing the characteristics of the system and the input signal.

3. To find a mathematical description of a system that will help to study the system’s performance. 

4. To attend without difficulty more advanced courses of study.

Module Description

1.Signals of continuous and discrete time

2.The Fourier transform

3.The Laplace and Ζ transforms

4.Continuous and discrete time systems

5.Interrelation between continuous time and discrete time signals and systems

Assessment Methods and Criteria

Written examination: 100% 

Recommended or required Bibliography

1.Signals and Systems of Continuous and Discrete Time, C. Caraiscos and D. Cantzos, Synchroni Ekdotiki, Inc., 2015.

2.Introduction to the theory of Signals and Systems, S. Theodoridis and K. Berberidis, Typithito editions, 1998.

3.Signals and Systems, S. Karabogias, University of Athens editions, 2009. 

4.Signals and Systems, A. V. Oppenheim – A. S. Willsky, 2nd edition, Prentice Hall International, Inc., 1997. 

Digital Signal Processing, G. Proakis – D. Manolakis, 2nd edition, Maxwell McMillan International Editions, 1992.

2nd Semester

MATHEMATICS II

Module Description

Full Module Description:
Mode of Delivery:  Lectures
Weekly Hours:  Lectures 4
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

The aim of the course module is to provide students with:

1. Knowledge of solving first order’s differential equations .

2. Ability to solve higher order’s differential equations and systems of differential  equations.  

3. Ability to use Laplace transformation in order to solve ordinary differential equations.  

4. Ability to use fundamental Z-transformation in order to solve diferrence  problems.

5. Knowledge of solving delicate problems using the above methods in several fields.   

Module Description

1. Introduction differential equations.

2. Homogeneous differential equations of first order.

3. The use of the integral Euler factor m.

4. Linear differential equations of first order.

5. Several kinds of differential equations: Bernoulli, Ricatti, Clairaut, Euler, etc

6. Wrosky’s methods.

7. Introduction to Laplace transformation.

8. Solving differential equations using Laplace transformation.

9. The reverse Laplace transformation and how we use it.

10. Z-Transformation.

11. Using Z-transformation in order to solve diferrence  problems.

12.Integrated problems solving.

13.Introduction to integrals and basics calculating methods.

14. Integrated problems solving.

Assessment Methods and Criteria

 Written examination: 100%

Recommended or required Bibliography

1.Differential Equations, Ι. Geogoudis, Α. Paliatsos, Ν. Prezerakos  (in Greek).

2.Applied Mathematics, III, A. Alexandrpoulos, (in Greek).

3.Laplace and Fourier transformations, Gagalis, (in Greek)

4.Differential Equations, D.  Anastasatos, (in Greek)

 

DIGITAL SYSTEMS I

Module Description

Full Module Description:
Mode of Delivery:  
Weekly Hours:  
ECTS:  
Web Page:
Moodle Page:

Learning Outcomes

 

Module Description

 

Assessment Methods and Criteria

 

Recommended or required Bibliography

 

COMPUTER PROGRAMMING II

Module Description

Full Module Description:
Mode of Delivery: Face to Face 
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

The course is an introduction to software development with the principles of object-oriented programming. The practice is carried out using the language C++, which is a reference to the field of object-oriented programming, and also is available and compatible on different operating systems. Upon successful completion of the course, the student  will be able to:

•demonstrate knowledge and understanding of the essential data, concepts and principles associated with object-oriented programming.

•distinguishing the information to be encoded as part of a problem and to design and implement the appropriate data types

•distinguishing and implement the relationships between application's objects 

•distinguishing and implement the operators of objects

•to use the debugging tools to locate and fix errors in the code of a program

•work alone or in cooperation with classmates in applications development

Module Description

The main purpose of the course is to understand the basic principles for software development  using the model of object-oriented programming and also the practice in C ++ programming language. This    knowledge is essential for dealing with problems in scientific knowledge and  profession field. Then follows a list of the topics covered in the course:

 

Function overloading

Function Templates

Default values in function parameters

Creating classes

Objects classes as function parameters 

Using pointer this 

Dynamic arrays of objects 

Static methods and properties of a class

Friend functions and classes

Copy constructor and the operator =

Operator overloading

Inheritance

input / output streams

Data structures

Assessment Methods and Criteria

Final Exam (60%)

Lab Exams (40%)

The above assignments  include: a) Application Development  b) Construction of function and/or procedure c) Detection of errors in code

Recommended or required Bibliography

- Recommended Book and Journal Article Resources:

 

Η γλώσσα C++ σε βάθος, Μ. Χατζηγιαννάκης, Κλειδάριθμος, 2008

 

Μάθετε  τη C++ από το μηδέν, Η.Schildt,Κλειδάριθμος,2007

 

Dr. Dobbs Journal, http://www.drdobbs.com/cpp

 

ELECTRICAL ENGINEERING II

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , Face-to-face
Weekly Hours:  Lectures 4, Laboratory Exercises 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

 

1. In-depth knowledge and critical understanding of the basic theory of electric AC circuit, which is necessary for the understanding of most courses of the department Automation.

2. Knowledge and skills in solving circuits with resistors, capacitors and inductors, in calculating complex power, the power balance and the use of techniques for improving power factor

3. Knowledge and skills to respond to tasks requiring wiring circuits using frequency generator, multimeter / oscilloscope to measure currents, voltages, phase difference.

Knowledge and ability to get, analyze, evaluate measurements and correlate electrical quantities.

 

Specifically, students will be able :

 

1.To be able to understand basic electrical properties

2. To apply Kirchhoff's laws, linearity, superposition, and Thevenin's theorem in the design and analysis of circuits. 

3. To analyze AC circuits involving active circuit elements 

4. To determine the transient response of energy storage elements using periodic functions, RMS values and phasors. 

5.To analyze sinusoids in steady-state response, resonance, Q, and bandwidth.

6.To calculate power triangle in single-phase and balanced three-phase systems and to improve the power factor of the circuit by adding reactive elements

7.To handle generators, multimeters, oscilloscope and make independent measurements.

8.To make measurements  of current and voltage, correlate electrical quantities and calculate or estimate errors

9.To evaluate whether the measurements are within the experimental uncertainties and detect systematic errors

Module Description

1.Introduction 

2.Sinusoids and  Phasors 

3.Capacitors and Inductors -Series and Parallel Capacitors / Inductors

4.Impedance and Admittance 

5.Kirchhoff’s Laws in the Frequency Domain 

6.Nodal Analysis -  Mesh Analysis - Superposition Theorem 

7.Source Transformation 

8.Thevenin’s theorem. Norton’s theorem.

9.Instantaneous and Average Power 

10.Maximum Average Power Transfer 

11.Effective or RMS Value 

12.Apparent Power and Power Factor 

13.Complex Power -Conservation of AC Power

14.Power Factor Correction Balanced Three-Phase 

15.Power in a Balanced System 

 

 

Laboratory Exercises

 

1. Introducton-Sinusoidal Sources-Review of Complex Numbers

2.The Transient Response of RC -RL Circuits 

3.Oscilloscope A (Basic measurements)

4.Oscilloscope B (phase difference measurement)

5.RL Circuits 

6.RC Circuits 

7.RLC Series Circuit- Resonance A part

8.RLC Series Circuit- B part

9.RLC parallel Circuit 

10.Thevenin’s  theorem. 

11.Norton’s theorem.

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40

Optional job preparation and presentation of up to 24%, less than the proportion of written examination

Recommended or required Bibliography

1.JOSEPH A. EDMINISTER: Theory and Problems of ELECTRIC CIRCUITS Schaum’s Outline Series McGRAW-HILL.

2.ΗλεκτροτεχνίαΙ&ΙΙ  Γ.Πολίτης-Δ.Πυρομάλλης.

3.Sadiku-Alexander, Εισαγωγή στα Ηλεκτρικά Κυκλώματα, Εκδόσεις Τζιόλα, 2013, ISBN 9604182625.

4.Χατζαράκης Γεώργιος : Ηλεκτρικά κυκλώματα (τόμος Β),Εκδόσεις Τζιόλα

5.Ηλεκτροτεχνία, Ν. Κολιόπουλου –Η. Λ ΌΗ

Ηλεκτρικά κυκλώματα, Κανελλόπουλος-Βαζούρας –Λιβιεράτος

ELECTRONIC ENGINEERING

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 5, Laboratory Exercises 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1. In-depth knowledge and critical understanding of the theory and principles of electronic circuits. 

2. Electronic Systems lesson focuses on the study of the fundamental electronic components operation and the circuits that can be designed using them. Diodes, Bi-Polar Transistors, MOSFETS, IGBTs, Operational Amplifiers, and LEDs are some of these fundamental electronic components used in this lesson. 

3. Additionally, circuit’s analysis and modeling are also covered. 

4. This lesson has a theoretical part taught in the classroom and a practical part taught in the laboratory which is equipped with all the necessary components and equipment.

5. Implement certification and quality improvement techniques and support electronic circuits.

5. To know and apply the rules and recommendations related to environmental protection.

Module Description

1. Electric circuits (Laws of Kirchhoff, voltage and current divider, Theorems of Thevenin and Norton, principle of superposition), 

2. Electric signals (Description sinusoidal signal, Middle and active signal value, average signal strength, Trig signal Fourier series and Linear signal range) 

3. Basic theory semiconductor and contact pn: energy levels - energy bands, 

4. Extrinsic semiconductor type n and p type, Qualitative study, 

5. Good and reverse pn junction polarization characteristic curve collapse mechanisms polarized contact pn, 

6. Effect of temperature on diode treatment, semiconductor diode and applications : Description diode and linear characteristic: dc circuit analysis with diodes and small signal, 

7. LEDs - LEDs - Photovoltaic cells - optocouplers, circuits clipping diodes, diode modeling zener, voltage stabilization circuits, circuits imianorthosis and rectifier full wave, linear power supply devices with filters capacitor and type p, 

8.Switching control modules (diodes four areas, Diac, Thyristor, Triac), 

9. Bipolar contact transistors: Structure and physical operation of the transistor, Ebers-Moll Model, operation in continuous phenomenon Early, 

10. Characteristic curves in common emitter connection, model small signals, transistor as an amplifier: bias circuits of transistor stability coefficients, hybrid equivalent small signals, 

11. Simple amplifier analysis in alternating load line and the amplifier operating point in continuous and alternating, phototransistor, diode and transistor as switches ,

12. Mosfet transistor, Structure and physical operation of mosfet, Integrated amplifiers: operational amplifiers, amplifiers positive and negative amplification, integrator and differentiator circuits, 

13. Circuit analysis with operational amplifiers, inverting adder, power amplification, instrumentation amplifiers.

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Optional job preparation and presentation of up to 24%, less than the proportion of written examination

Recommended or required Bibliography

1.Γ. Χαριτάντης, «Ηλεκτρονικά Ι», Πανεπιστημιακές Εκδόσεις Αράκυνθος 2006.

2.Malvino, «Ηλεκτρονική», Εκδόσεις Τζιόλα, 2006.

3.R. Jaeger, «Μικροηλεκτρονική» Τόμος Α, Εκδόσεις Τζιόλα, 2003.

4.Διαδικτυακή Βιβλιογραφία Ανανεούμενη Ετήσια

5.Εργαστηριακές Ασκήσεις - Διδακτικές Σημειώσεις 

3rd Semester

APPLIED MATHEMATICS

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face. 
Weekly Hours:  Lectures 3
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

•thorough knowledge and critical understanding of the theory and principles of numerical and statistical methods, and the implementation of corresponding algorithms in the computer to solve particular problems,

•knowledge and skills in basic statistical issues (linear regression - correlation, analysis of variance, non-parametric hypothesis testing) by using computer systems and

•sufficient knowledge and synthetic skills to understand basic principles and methods acquiring abilities solving mathematical problems and analyzing statistical data.

 

Upon completion of the course, students:

•will have a thorough knowledge of the theoretical construction and study of numerical methods, and the implementation of corresponding algorithms in the computer systems to solve particular problems,

•will be familiar with the study of basic statistical issues (linear regression - correlation, analysis of variance, non-parametric hypothesis testing) with application in computer systems and

•they will have acquired the necessary knowledge and skills to understand basic principles and methods thus being able to utilize in solving mathematical problems and analyzing statistical data.

Module Description

The core modules of the course include:

Numerical Analysis: Approximate methods: 

•Solving nonlinear equations

•Interpolation (Linear interpolation, Lagrange interpolating polynomials, Newton’s divided-difference polynomials, Newton’s finite-difference polynomials).

•Approximation (Least-Squares Regression Analysis, Simple Linear Regression, Logarithmic Regression, Exponential Regression, Power Regression, Multiple Linear Regressions, Coefficient of determination, Analysis of variance in model selection).

•Numerical Integration (Trapezoidal rule, Simpson’s rules).

•Solution of differential equations (Euler’s method, modifications and improvements of Euler’s method, Runge-Kutta method).

 

Probability - Statistics:

•Potential and possibilities.

•Conditional probability.

•Theorem of total probability and random variables.

•Probability distributions.

•Basic distributions (binomial, exponential, C, F, x2, Poisson, Student).

•Mean and variance of random variables.

•Multivariate distributions.

•Distribution functions of random variables.

•Statistical inference and sampling principles.

•Parameter estimation.

Assessment Methods and Criteria

  Final Written Examination: 100%

Recommended or required Bibliography

•Αλεξανδρόπουλος, Α., Παλιατσός, Α., Σοφιανός, Γ. (1995). Βασικά Θέματα Αριθμητικής Ανάλυσης. Σύγχρονη Εκδοτική, Αθήνα.

•Αλεξανδρόπουλος, Αν., Κατωπόδης, Επ., Παλιατσός, Αθ., Πρεζεράκος, Ν. (1994). Στατιστική. Σύγχρονη Εκδοτική, Αθήνα.

•Λιώκη-Λειβαδά, Η. και Ασημακόπουλος, Δ.Ν. (2007). Εισαγωγή στην Εφαρμοσμένη Στατιστική – Τεύχος Ι – Μεθοδολογίες. Εκδόσεις Συμμετρία, Αθήνα.

•Κολυβά-Μαχαίρα, Φ. και Μπόρα-Σέντα, Ε. (1998). Στατιστική: Θεωρία – Εφαρμογές. Εκδόσεις ΖΗΤΗ, Θεσσαλονίκη.

•Μπόρα-Σέντα, Ε. και Μωυσιάδης, Χ. (1997). Εφαρμοσμένη Στατιστική. Εκδόσεις ΖΗΤΗ, Θεσσαλονίκη.

•Ayyub, B.M., McCuen, R.H. (1996). Numerical Methods for Engineers. Prentice Hall, Upper Saddle River, New Jersey.

•Box, G.E.P., Jenkins, G.M. and Reinsel, G.C. (1994). Time Series Analysis: Forecasting and Control, 3rd Edition. Prentice Hall, Upper Saddle River.

•Chapra, S.C., Canale, R.P. (2010). Numerical methods for Engineers. 6th Edition, McGraw-Hill Book Company. 

COMPUTER PROGRAMMING III

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories
Weekly Hours: Lectures 2, Laboratory Exercises 2 
ECTS:  4
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1.Critical skills and knowledge in the use of new programming technologies.

2.A good knowledge and understanding of designing programs following the principles of Software Engineering.

Knowledge and skills in structuring programs using GUI techniques and event driven programming. 

Module Description

This course introduces students to a modern programming language (Visual Basic or Python) employing event driven programming and GUI design. Students develop projects using principles of Software Engineering. The course syllabus is:

1.Introduction to Software Engineering

2.Lifecycle Models

3.Analysis, Design, Implementation

4.UML 

5.Interface Design

6.Design Patterns

7.GUI Design

8.Events

9.Visual Objects

10.Menus

11.Multimedia

12.Database Management

13.Simple web extensions 

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Project presentation of up to 20%, towards the written examination

Recommended or required Bibliography

1.Visual Basic, Τζιάλλας Γρηγόρης, 2011, Εκδόσεις ΔΕΜΕΡΝΤΖΗΣ ΠΑΝΤΕΛΗΣ 

2.MICHAEL HALVORSON, MICROSOFT VISUAL BASIC 2013, ΒΗΜΑ ΒΗΜΑ, 1η/2016,  ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ

3.Γκούμας Στέφανος - Συμεωνίδης Συμεών, Οπτικός Προγραμματισμός σε Visual Basic, 1η/2013, ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε.

4.Paul Deitel, Harvey Deitel, Visual Basic 2010 Προγραμματισμός, 6η έκδ./2011,  Χ. ΓΚΙΟΥΡΔΑ & ΣΙΑ ΕΕ

5.JOHN V. GUTTAG, ΥΠΟΛΟΓΙΣΜΟΙ ΚΑΙ ΠΡΟΓΡΑΜΜΑΤΙΣΜΟΣ ΜΕ ΤΗΝ PYTHON, Έκδοση: 1η/2015,  ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ

6.ΑΒΟΥΡΗΣ ΝΙΚΟΛΑΟΣ,ΣΓΑΡΜΠΑΣ ΚΥΡΙΑΚΟΣ, ΠΑΛΙΟΥΡΑΣ ΒΑΣΙΛΕΙΟΣ,ΚΟΥΚΙΑΣ ΜΙΧΑΗΛ, ΕΙΣΑΓΩΓΗ ΣΤΟΥΣ ΥΠΟΛΟΓΙΣΤΕΣ ΜΕ ΤΗ ΓΛΩΣΣΑ PYTHON, Β' ΕΚΔΟΣΗ/2013, Εταιρεία Αξιοποίησης και Διαχείρισης Περιουσίας Πανεπιστημίου Πατρών

7.Γιακουμάκης Μανόλης, Διαμαντίδης Νίκος, Τεχνολογία λογισμικού, Έκδοση: 1η έκδ./2009,  ΕΚΔΟΣΕΙΣ ΣΤΑΜΟΥΛΗ ΑΕ

8.SHARI LAWRENCE PFLEEGER, ΤΕΧΝΟΛΟΓΙΑ ΛΟΓΙΣΜΙΚΟΥ: ΘΕΩΡΙΑ ΚΑΙ ΠΡΑΞΗ,  2η ΑΜΕΡΙΚΑΝΙΚΗ/2011, ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ

9.Free online books (pdf, epub)

Lecture and Lab Notes 

DIGITAL SYSTEMS II

Module Description

Full Module Description:
Mode of Delivery:  
Weekly Hours:  
ECTS:  
Web Page:
Moodle Page:

Learning Outcomes

 

Module Description

 

Assessment Methods and Criteria

 

Recommended or required Bibliography

 

AUTOMATIC CONTROL SYSTEMS I

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face lectures, Face-to-face laboratory excercises 
Weekly Hours:  Lectures 4, Laboratory Exercises 2
ECTS:  7
Web Page:
Moodle Page:

Learning Outcomes

Having successfully completed the course, students will be capable of:

 

•Defining a system, with respect to its structure, components and general operation, upon examination of a given application.

•Deriving an accurate system model by means of standard mathematic and physical principles.

•Analyzing and evaluating the contribution of each system component to the overall system operation using the system model derived (instead of carrying out experiments with the actual application)

•Exploiting conclusions drawn by the previous analysis for optimizing the overall system and (upon completion of Automatic Control Systems II course) designing effective control solutions. 

•Drawing conclusions on the importance of state-of-the-art modeling methods for system design, with respect to its operational performance, and its impact on economy and society. 

Module Description

1.The system definition, the concept of block diagram representations, some basic facts of open- and closed-loop representations and the objectives of (and prerequisites for) system control.

2.Physics-based system modeling and representation in the time-domain: Methods for modeling electrical, mechanical and, in general, complex technical systems, electric circuit analogs and simulation.

3.System modeling in the frequency-domain, Laplace transform, transfer function of open-loop and closed-loop systems and general rules for the derivation of transfer functions for applications with multiple subsystems.

4.Time response of systems, part I: The concept of poles, zeros damping ratio and natural frequency, inverse Laplace transform, partial fraction expansion.

5.Time response of systems, part II: Basic facts on the time response of first- and second-order systems’.

6.Frequency-domain analysis of systems using Bode plots and their asymptotic approximations, introduction to Nyquist plots. 

Assessment Methods and Criteria

Course theoretical part: written exam contributing to 60% of overall course score

Course part related to laboratory exercises: Exam contributing to 40% of overall course score

 

Up to 40% of the final score of the course theoretical part may be formed by guided practice score. In this case, the remaining (at least) 60% is formed by the score in the written exams.

Recommended or required Bibliography

1.Καλλιγερόπουλος Δ., Βασιλειάδου Σ., Συστήματα Αυτομάτου Ελέγχου Ι, Σύγχρονη Εκδοτική, Αθήνα 2005.

2.Μαλατέστας Π., Συστήματα Αυτομάτου Ελέγχου, Εκδ. Τζιόλα, Αθήνα 2011.

3.Dorf R., Bishop R., Σύγχρονα συστήματα αυτομάτου ελέγχου, Εκδ. Τζιόλα, Θεσσαλονίκη 2003, ISBN 960 8050 94.

4.Παρασκευόπουλος Παρ., Συστήματα Αυτομάτου Ελέγχου, Βασικές έννοιες και εφαρμογές, Αθήνα 1996. 

ELECTRICAL MACHINE

Module Description

Full Module Description:
Mode of Delivery:  Lectures and face to face 
Weekly Hours:  Lectures 3
ECTS:  4
Web Page:
Moodle Page:

Learning Outcomes

Upon the completion of the course the student will be able to identify modern applications of electric machines, taking under consideration all general issues of energy and environment. He will build an overall background of the dynamic and static behavior of electric machines in order to design systems with an ultimate control efficiency and power management. 

In particular, he will develop and analyze fundamental principles and phenomena related to electric machines operation as well as their mathematical simulation

Module Description

Electric machines is one of the most important part of modern implementations in terms of actuation not only in an industrial facility but also in agricultural production, in transportation and in environmental friendly processes. Therefore, the understanding of their operational principles and the project design is the key player in order systems to operate efficiently and safe. This last factor is the main goal of an Automation Engineer graduate. The course’s objective is to build up skills for that highlighting the ability of decision making and the evaluation of respective technology approaches. General competences include:

•Fundamentals in the magnetic field, production of a magnetic field, induced voltage from a time-changing magnetic field, production of induced force on a wire and induced voltage on a conductor moving in a magnetic field 

•Electromechanical energy transformation, systems with simple and multiple triggering of a single output and dynamical equations

•Types and construction of transformers, the ideal transformer, power in an Ideal transformer, circuits containing ideal transformers, theory of operation of real single-phase transformers and the equivalent circuit of a transformer

•Basic principles of electric machines, basic parts, operation on 4 quadrants, windings, rotary magnetic field, generation of voltage and torque

•Electric machines in solid state, construction description, mechanisms of power and torque generation, dead zone, magnetic poles, methods of triggering, kinds of DC machines and efficiency ratio maximization

•DC electric machines, dynamic analysis, fundamental DC electric machine, parallel triggering, linear triggering and multiple triggering

•The synchronous motor from a magnetic field perspective, basic principles of motor operation,  the equivalent circuit of a synchronous motor, steady-state synchronous motor operation, the synchronous motor torque-speed characteristic and the effect of field changes on a synchronous motor 

•The development of induced torque in an induction motor, the concept of rotor slip, the electrical frequency on the rotor, the equivalent circuit of an induction motor and  the transformer model of an induction motor 

•Power and torque in induction motors, induction motor torque-speed characteristics, induced torque from a physical status point and the derivation of the induction Motor 

•Commutation and armature construction in real DC machines, a simple rotating loop between curved pole faces,  getting DC voltage out of the rotating loop and connections to the commutation segments

•Pole and frame construction in DC machines, rotor or armature construction, commutation and Brushes, winding insulation and Problems with commutation in real machines

Assessment Methods and Criteria

 Written examination: 100%

Optional project and presentation of up to 30%, less than the proportion of written examination

Recommended or required Bibliography

1.«Ηλεκτρικές  Μηχανές», Μαλατέστας Παντελής, εκδόσεις Τζιόλα 2012, ISBN:978-960-418-337-1

«Ηλεκτρικές Μηχανές», Μιχ. Παπουτσιδάκης, Σημειώσεις θεωρίας, 2012, http://islab.teipir.gr

INDUSTRIAL AUTOMATION

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories 
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

The aim of the course is to provide basic knowledge regarding electrical industrial system implementation. The acquired knowledge will support the students to understand the operation and use of electrical industrial systems, the used hardware as well as its design. Additionally, the course offers knowledge regarding renewable energy issues, fire safety and RFID systems.

Upon completion of the course students will have:

1. Understanding of the rail material technology used in industrial electrical equipment.

2. Basic knowledge of design and operation of electrical installations.

3. The basic knowledge on Electrical Industrial Facilities and classic automation.

4. The basic knowledge for understanding the operation of Renewable Energy Sources (RES)

5. The knowledge for designing and implementing Security - Fire systems

6. The basic knowledge of RFID systems

7. To know and apply regulations and recommendations relating to Electrical Industrial Installations.

Module Description

1.Introduction to technology and development of electronics - electrical components

2.Introduction of the electrical building installations

3.Calculations and measurements in electrical installations

4.Introduction to industrial electrical installations - Relay technology.

5.Applied provisions in classical automation - Electric motors

6.AC electric motor starting systems 

7.Speed ​​control automation and braking

8.Principles of Inverters - electric converters

9.Stepper Motors

10.Renewable energy systems

11.Systems - sensors for safety systems - fire protection

12.   Systems RFID

Assessment Methods and Criteria

 Written examination: 60%

Laboratory exercise: 40%

Recommended or required Bibliography

1. Industrial Electrical Installations, Bitziwnhs V., TZIOLA, 2011, Greek version.

2. Electrical motors- theory, operation, applications, settings and control, Charles I. Hubert, Ion, 2008, Greek version.

3. Modern Electrical Installations Drive-Automation, Bitziwnhs V, Greek version.

4. E.K. Serveta, Industrial Electronics 1996, Greek version.

5. D.F. Riga , Industrial Electronics and Automation, 1990, Greek version.

6. N.A. Mylonopoulou , Internal electrical installations for motors and constriction regulations 1977, Greek version.

7. Spyridonos N. Vasilakopoylou « Electrical motors », Evgenidou Idrymatos, Athens 1986, Greek version.

8. Technology of electronic components, X. Papakonstantinou, «I2N», Greek version.

9. http://www.rfidjournal.com/article/articleview/1338/1/129/

10. http://www.rfidtec.co.za/index.asp?m=1

11. http://www.idtechex.com/products/en/articles/00000042.asp

12 http://www.lavalink.com/fileadmin/newsletters/link_06.04.pdf

13. http://www.rfida.com/rfidgallery.htm

14. http://www.webopedia.com/TERM/R/RFID.html 

4th Semester

AUTOMATIC CONTROL SYSTEMS II

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face lectures, Face-to-face laboratory exercises 
Weekly Hours:  Lectures 4, Laboratory Exercises 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

Having successfully completed the course, students will be capable of:

 

•Analyzing a system with respect to its operational and performance characteristics in open or closed-loop configuration. 

•Using standard controller design methods for delivering control solutions, which help to achieve the desired closed-loop system performance.

•Drawing conclusions on the importance of state-of-the-art control methods for system design with respect to its operational performance, and its impact on economy and society.

Exploiting the controller design basics (taught in this course) for the in-depth understanding of advanced control solution, offered by relevant (subsequent) courses.

Module Description

1.Performance and robustness characteristics of closed-loop systems, comparison with open-loop systems.

2.Steady state errors and stability in closed-loop representations, part I: Computing steady state errors, the influence of open-loop system type on steady state error, hints on the trade-off between closed-loop errors and stability. 

3.Steady state errors and stability in closed-loop representations, part II: Stability assessment via the Routh criterion, the trade-off between closed-loop errors and stability revisited.

4.The root locus method: Closed-loop stability evaluation, controller design for transient response shaping and steady state error minimization. 

5.The method of characteristic polynomial matching: Analytical controller design for transient response shaping and steady state error minimization, hints on reference model matching.

6.Bode and Nyquist plots revisited: Assessment of closed-loop stability and margins, hints on controller design.

7.System representation in State-Space, part I: The concept of state-space representation versus transfer functions, system eigenvalues and eigenvectors.

8.System representation in State-Space, part II: Solution of state-space equations via Laplace or eigenvalues/eigenvectors, hints on closed-loop pole placement for achieving desired closed-loop performance.

Assessment Methods and Criteria

Course theoretical part: written exam contributing to 60% of overall course score

Course part related to laboratory exercises: Exam contributing to 40% of overall course score

 

Up to 40% of the final score of the course theoretical part may be formed by guided practice score. In this case, the remaining (at least) 60% is formed by the score in the written exams.

Recommended or required Bibliography

1.Καλλιγερόπουλος Δ., Βασιλειάδου Σ., Συστήματα Αυτομάτου Ελέγχου IΙ, Σύγχρονη Εκδοτική, Αθήνα 2005.

2.Μαλατέστας Π., Συστήματα Αυτομάτου Ελέγχου, Εκδ. Τζιόλα, Αθήνα 2011.

3.Dorf R., Bishop R., Σύγχρονα συστήματα αυτομάτου ελέγχου, Εκδ. Τζιόλα, Θεσσαλονίκη 2003, ISBN 960 8050 94.

4.Παρασκευόπουλος Παρ., Συστήματα Αυτομάτου Ελέγχου, Βασικές έννοιες και εφαρμογές, Αθήνα 1996

 

ELECTRICAL AND ELECTRONIC MEASUREMENTS

Module Description

Full Module Description:
Mode of Delivery: Face-to-face 
Weekly Hours: Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Upon successfull completion of the course, the students will be able to:

1.Deep knowledge and understanding of statistical error theory and the electrical and electronic measurement process.  

2.Knowledge and abilities in error estimation, measurement execution, measurement conditioning/conversion, measurement processing and finally measurements acquisition via various platforms, either analog or digital, with or without computer systems. 

Knowledge and capability for synthesis, assembly, programming, maintenance, operational supervision, debugging and repair of a measurement system. 

Module Description

1.Measurement units, calibration of measurement instruments and sensors.

2.Typical measurement chain. Theory of error propagation, calculation of systematic, random and total errors. 

3.Instruments and sensors characteristics and accuracy class. Types of sensors / transducers. 

4.Signal conditioning circuits, Wheatstone bridges, operational amplifiers and applications. 

5.Digitization and signal encoding, A/D signal converters. 

6.Measurements of electrical quantities, voltmeter and amperometer measurement error, power measurements in three-phase networks.

7.Operational principles of analog measuring instruments, electrodynamic instruments, moving coil, and moving iron instruments.

Design and implementation of a measurement system with the use of a computer system. 

Assessment Methods and Criteria

 Written Exam 60%

Laboratory exercises 40%

Recommended or required Bibliography

1. Σημειώσεις Μαθήματος, Δ. Κάντζος.

2. Ηλεκτρικές Μετρήσεις, Κ. Ψωμόπουλος, Εκδόσεις Τσότρα.

3. Συστήματα Μετρήσεων, Ρ. Κινγκ, Εκδόσεις Τζιόλα.

4. Τεχνολογία Μετρήσεων, Αισθητήρια, Α. Γαστεράτος, Σ. Μουρούτσος και Ι. Ανδρεάδης, Εκδόσεις Γκιούρδα.

5. Ηλεκτρικές Μετρήσεις, ΤΕΥΧΟΣ Ι - Κλασσικές Μετρήσεις, N. Θεοδώρου, Εκδόσεις Συμμετρία.

6. Ηλεκτρικές Μετρήσεις, Β. Πετρίδης, Εκδόσεις University Studio Press 

MICROPROCESSORS

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face lectures and Laboratories  
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1. Knowledge and skills in applications development with the use of microcontrollers. 

2. Knowledge and skills in design, implementation and programming of embedded systems.

Specifically, students will be able:

1. To have good knowledge of the 8051 microcontroller, writing programs for it, and connect it with external memory chips and special purpose peripherals.  

2. To be able to do the same job, as above, with other microcontrollers. 

3. To understand and explain the operation of an existing microcontroller-based system that uses an 8051 or another microcontroller. 

4. To solve technical problems by using microcontrollers. 

Module Description

1.The structure of the 8051 microcontroller

2.The 8051 programming language

3.Τhe interrupts system of the 8051 microcontroller. 

4.Counters and timers of the 8051 microcontroller and interrupts caused by their overflow. 

5.Connection of the 8051 microcontroller with external memory chips and other peripherals.

6.The serial port of the 8051 microcontroller. 

How to restart the 8051 microcontroller.  

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Recommended or required Bibliography

1.The 8051 microcontroller,  C. Caraiscos, Synchroni Ekdotiki, Inc., 2010.

2The 8051 Microcontroller, I. Scott McKenzie, Prentice Hall, 1995. 

3.Systems Development with Miicrocontrollers, S. Alatsathianos, self edition, 2007.

4.     Microprocessor Systems Design, D. Pogaridis, V. Giourdas edition, 2006. 

CAD/CAM

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1. In-depth knowledge and critical understanding of the theory and principles of the use of new technologies and information systems in the design of products and processes and the operation of production units.

2. Knowledge and skills in modeling and simulation systems, optimization and design of products, processes and systems, planning and control of production by using computer systems.

3. Knowledge and synthesis skills, construction, programming, maintenance, supervision of operation, debugging and design system repair and production using computer / information systems.

 

Specifically, students will be able to:

1. To describe and identify the parts, to choose the functions and operations of a  CAD / CAM system and draw up specifications.

2. To explain the operation of a CAD / CAM system, to assess performance and to calculate the operating parameters.

3. To develop and specialize the applications of a CAD / CAM system, compose and organize new applications and to evaluate the system performance.

4. Implement certification and quality improvement techniques and support Industrial Control Systems.

5. To know and apply the rules and recommendations related to environmental protection.

Module Description

1. Introduction to production using new technologies

2. Modeling and simulation of systems

3. Control and optimization of systems

4. Decisions and forecasts by applying computational methods

5. Design using IT systems

6. Principles and graphics systems / design environments and ergonomics

7. Principles and method of design production systems using Information Systems

8. Production planning using Information Systems

9. Production control processes using Information Systems

10. Quality/ Assurance /Certification / Quality Management Systems / Quality Approaches/Continuous Quality Improvement 

11. Design, Operation and Management of Industrial Control Systems

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

 

Optional job preparation and presentation of up to 24%, less than the proportion of written examination

Recommended or required Bibliography

1.Cad/Cam, Τσελές Δ., Σύγχρονη Εκδοτική ΕΠΕ

2.Βασικές Αρχές Συστημάτων CAD/CAM/CAE, Kunwoo LEE, Εκδόσεις Κλειδάριθμος ΕΠΕ

3.Σχεδίαση CAD και ηλεκτρονική κατασκευή, Κοκκόσης Απ., Σύγχρονη Εκδοτική ΕΠΕ

4.Συστήματα CAD/ CAM και τρισδιάστατη μοντελοποίηση, Μπιλάλης Νικόλαος Α., Μαραβελάκης Εμμανουήλ, Εκδόσεις Κριτική ΑΕ

5.Διαδικτυακή Βιβλιογραφία Ανανεούμενη Ετήσια

6.Εργαστηριακές  ασκήσεις - Διδακτικές Σημειώσεις 

 

POWER ELECTRONICS

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 2, Laboratory Exercises 2
ECTS:  4
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1. In-depth knowledge and critical understanding of the theory and principles of  Power electronic circuits. 

2. Power Electronics lesson focuses on the study of Introduction ,App. Sevices ,Solid- State Devices , Electronics Switches without commutation  (AC-Controllers) , Line - Commutated Circuits -AC/DC Controllers(M1- , M2- Circuits , B2- , B6- Brige etc.) ,Self--Commutated Circuits -DC/AC Inverters (Step Down converter , Step up Converter , Fly-back converter, etc., Applications of power electronics circuits. 

3. Additionally, circuit’s analysis and modeling are also covered. 

4. This lesson has a theoretical part taught in the classroom and a practical part taught in the laboratory which is equipped with all the necessary components and equipment.

5. Implement certification and quality improvement techniques and support Power electronic circuits. 

5. To know and apply the rules and recommendations related to environmental protection.

Module Description

1. Introduction ,

2. App. Sevices ,

3. Solid- State Devices , 

4. Electronics Switches without commutation  (AC-Controllers) , 

5. Line - Commutated Circuits –

6. AC/DC Controllers (M1- , M2- Circuits, B2- , B6- Brige etc.),

7. Self-Commutated Circuits –

8. DC/AC Inverters ( Step Down converter , Step up Converter , Flyback converter, etc., 

9. Applications of power electronics circuits

10. Introduction Magnetic field , 

11. Transformers , 

12. DC--Machines , AC-machines , Asynchrony-machines ,

13. Applications , Synchrony-machines

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Optional job preparation and presentation of up to 24%, less than the proportion of written examination

Recommended or required Bibliography

1.Ηλεκτρονικά ισχύος Συγγραφείς:   Tore Undeland -  Ned Mohan -  William Robbins 

2.Ηλεκτρονικά ισχύος, Συγγραφείς:   Στέφανος Μανιάς, Εκδόσεις ΣΥΜΕΩΝ.

3.Φροντιστηριακές ασκήσεις ηλετρονικών ισχύος και ανάλυση ηλεκτρικών και ηλεκτρονικών κυκλωμάτων με το πρόγραμμα προσομοίωσης PSIM, Συγγραφείς:   Στέφανος Μανιάς, Εκδόσεις ΣΥΜΕΩΝ

4.Διαδικτυακή Βιβλιογραφία Ανανεούμενη Ετήσια

5.Εργαστηριακές Ασκήσεις - Διδακτικές Σημειώσεις 

COMPUTER NETWORKS

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

The aim of this course is to impart to the student a basic understanding of how data networks work and learn what architectures and protocols are used. Also, help the student understand how network elements are realized on the basis of digital circuits and software. A basic target of the lesson is the methodology of designing LANs, learning how to use network applications and the quantitative study of network traffic by simulating the operation of computer networks.

Description / Outline: 

The course presents the OSI architecture and then focuses on the three lower layers. After briefly outlining the physical layer, the operation of the Data Link Layer (Data Link Layer) and its error correction function are detailed by means of the protocols HDLC/LAPB. The sliding-window, and its use for flow control and frame retransmission are explained. Local area networks are then elaborated by means of the Ethernet and Token Ring paradigms, Interconnecting LANs, Bridges and switches, are then presented. Fast and Gigabit Ethernet are also included. VLAns and WLANs are provided next. The network layer is presented and the protocol X.25 is given as an example.

Upon completion of the course, students will have the necessary skills expected by the graduate profile and is aligned with the mission of the automation department. The student at the end knows how computer networks work and how can be used in automation. More specifically, students will have;

1. In-depth knowledge and critical understanding of the theory and principles of the use of new technologies and information systems in the design of networks.

2. Knowledge and skills in modeling and simulation, optimization and design of networking components, products, processes and systems, planning and control of production by exploioting computer networks.

In detail, students will be able to:

1. To describe and identify the parts, to choose the functions and operations of a  computer network and draw up specifications.

2. To explain the operation of usual computer networks, to assess performance and to calculate the operating parameters.

3.  Implement certification and quality improvement techniques and support networks of Industrial Control Systems.

5. To know and apply the rules and recommendations related to environmental protection.

Module Description

1.The OSI architecture with focus on the three lower layers. 

2.The physical layer, 

3.The operation of the Data Link Layer (Data Link Layer) and its error correction function

4 The protocols HDLC/LAPB. 

5.The sliding-window, and its use for flow control and frame retransmission 

6. Local area networks 

7.The Ethernet 

8. Token Ring paradigms,

9. Interconnecting LANs, Bridges and switches, 

10. Fast and Gigabit Ethernet 

11. VLAns and WLANs are provided next.

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Recommended or required Bibliography

1.Lecture Notes Computer Networks, J.D. Angelopoulos

2.Tanenbaum, Andrew S., "Computer Networks", Fourth Edition, Prentice Hall, 2003, ISBN 9600133499456.

3.James Kurose, Keith Ross, “Computer Networking, 3rd Edition, Int. Edition, Addison Wesley, ISBN:0-321-26976-4

4.TCP/IP Illustrated, W. Richard Stevens, Addison-Wesley

5.Interworking with TCP/IP vol. I, Principles, protocols and Architecture, 2nd ed. Douglas Comer, Prentice-Hall Int.

6.Jean Walrand, "Communication Networks", 2nd ed., McGraw Hill, 1998, ISBN 0256205671.

7.A. Tanenbaum, «Computer Networks” , 4rth edition 

5th Semester

MOTION CONTROL

Module Description

Full Module Description:
Mode of Delivery:  Lectures, face to face and laboratory practice
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Right after the completion of the course each student will be ready to undertake any project based application in the domain of "Motion control". As an example could be a transport line, a packaging system in an industrial environment etc. Based in the background knowledge, the student will be able to decide about the equipment needed for the task and more over to design the control method for the successful accomplishment of the project. The ultimate choice for each task is the responsibility of an engineer and therefore students right after the completion of this course will be able to begin designing the project report based on their equipment/gear choices

Module Description

The course outline is summarized as follows:

1.Static and dynamic description of mechanical motion, characteristics and torque curves of motor systems, investigation of balance point.

2.Motor-load coupling, transmission definition description, mathematic equations for gearbox design and study of losses

3.Motion Systems and applications, transport lines, lifting machines, amplification or reduction of execution speed, packaging machines and maintenance.

4.Description of structure and operational characteristics of electrical, hydraulic and pneumatic motors, synchronous and a synchronous motors separation with respect to each application appropriate motor selection based on the advantages and disadvantages of each motor category.

5.Provisions of regulation and power supply, electronic circuitry for power supply of electrical motors based on power electronics power rectification and management.

6.System motion control methods, classical control with three terms and combination of them, introduction of micro-controllers in motion systems and control creation for open and closed loop systems, study of motion sensors with analog and digital signals and finally introduction to modern and or intelligent approaches of control

Laboratory practice includes exercises and implementations like:

1.Introduction to relays

2.Simple motion: start and stop operation

3.Start and step operation

4.Electrical motor protection

5.Simple movements in electro-hydraulic system

6.Change of motion direction in electro-hydraulic system

7.Electro-hydraulic system regression

8.Counting movements with relays

9.Combination movements in electro-hydraulic system

10.Control movement with a delay relay

11.Control a regression movement of an electro-hydraulic system

12.Control movement with a double delay relay

13.Static curve of a linear hydraulic motor

14.Static curve of a rotary hydraulic motor

15.Definition of armature characteristics of DC electrical motor

16.Definition of electrical motor output curve

17.Definition of the load curve

18.Pulse modulation for electrical motor speed regulation

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Optional job preparation and presentation of up to 24%, less than the proportion of written examination 

Recommended or required Bibliography

1.«Ηλεκτρική κίνηση», Μαλατέστας Παντελής, εκδόσεις Τζιόλα 2010, ISBN:978-960-418-251-0

2.«Εργαστηριακή εφαρμογή συστημάτων αυτομάτου ελέγχου και αυτοματισμού», Πανταζής, Νικόλαος Α., εκδόσεις Σταμούλη Α.Ε. 2006, ISBN: 9603516619

3.«Αισθητήρες μέτρησης και ελέγχου», Elgar, Peter, εκδόσεις Τζιόλα 2000, ISBN: 9608050316

4.«Σερβοκινητήρια συστήματα», Μαδεμλής, Χρήστος, εκδόσεις Τζιόλα, ISBN: 9604182137 

 

HYDRAULIC AND PNEUMATIC CONTROL SYSTEMS

Module Description

Full Module Description:
Mode of Delivery:  Lectures, face to face and laboratory practice
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

The main learning outcome is the delivery to the students of a basic knowledge about hydraulics and pneumatics components that are used in modern automation systems design. The process of designing and implementation of such an integrated system follows up the rest of the course lectures that will provide to a student all necessary expertise in the field. Separated in two major branches, hydraulics and pneumatics will be explained in details not only as simple actuation systems but also as combined and complex operational systems of the same type that an automation engineer will face in any modern industrial environment in his career. 

Module Description

The course structure is based on:

 

Basic and fundamentals principles of key hydraulics and pneumatics elements, their diagrams, automation components as parts of block diagrams, DIN-ISO standards, tuning and motion circuits. In addition, students are provided with details of hydraulic power production systems and complex pneumatic automation circuits for industrial processes. In class there is a thoroughly description and demonstration of systems for energy transfer though hydraulics and pneumatics, there is also many references in the significance of the evolution of introducing automation control design in such systems and finally the outcomes of the comparison between advantages and disadvantages of such systems are well given to students. 

 

The course outline is summarized as follows:

1.Analysis of pneumatic parts with respect in theoretical knowledge for understanding their design and operation

2.Analysis of the control design of such systems with description of all necessary technologies.

3.Design of all basic hydraulic accessories and circuitry.

4.Analysis of creation and operation of hydraulic applications

5.Designation of operation of random multi-complex hydraulic systems

6.Explanation of ISO symbolisms for fluid transfer.

7.Presentation of pneumatic programmer, explanation of it and implementation. 

8.Programmable logical controllers and programming methods of piston movements correlation. 

9.Analysis of complex automation systems, illustration and examples of them

10.Investigation and presentation of special automation systems

11.Alternative methodologies for building hydraulic and pneumatic diagrams

12.Electro-hydraulic advanced circuits and applications in modern industry.

Laboratory Practice:

1.Single acting pneumatic cylinder

2.Double acting pneumatic cylinder

3.Speed increase and decrease of double acting pneumatic piston

4.Force increase and decrease of double acting pneumatic piston

5.Speed increase and decrease in both directions of double acting pneumatic piston

6.Force increase and decrease in both directions of double acting pneumatic piston

7.Correlated continuous movement of pistons

8.Piston regression and random point stopping

9.Automation of a transfer line

10.Piston speed adjustment in both stroke directions

11.Piston speed adjustment in both stroke directions via flow regulator

Hydraulic circuit of differential speed 

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Optional job preparation and presentation of up to 24%, less than the proportion of written examination

Recommended or required Bibliography

1.«Υδραυλικά και πνευματικά συστήματα», Κωστόπουλος, Θεόδωρος Ν., εκδόσεις Συμεών 2009, ISBN: 9607888979

2.«Υδραυλικά – Πνευματικά Συστήματα και Εφαρμογές», Ρούτουλας Αθ., εκδόσεις Συγχρονη Εκδοτική 2008. 

«Υδραυλικά & Πνευματικά ΣΑΕ», Μιχ. Παπουτσιδάκης, Σημειώσεις Θεωρίας, 2011, http://islab.teipir.gr

DATA ACQUISITION SYSTEMS

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1. In-depth knowledge and critical understanding of the theory and principles of the use of  Data Acquisition  and Control Systems (DACS) in the design of products and processes and the operation of production units.

2. Knowledge and skills in analysis of needs for DACS applications, design and implementation of DACS.

3. Knowledge and synthesis skills, construction, programming, maintenance, supervision of operation, debugging and design system repair and production using DACS.

Specifically, students will be able to:

1. To describe and identify the parts, to choose the functions and operations of a  DACS  and draw up specifications.

2. To explain the operation of a DACS, to assess performance and to calculate the operating parameters.

3. To develop and specialize the applications of a DACS, compose and organize new applications and to evaluate the system performance.

4.  To know and apply the rules and recommendations related to environmental protection and total quality control.

Module Description

1. Signals, measurements, measurement and control systems

2. Sampling signals

3. Amplifiers, filters, and voltage converters

4. Data Acquisition and signal conditioning, sensors, analog signal processing

5. Analog to digital conversion 

6. Interfacing Measurement Systems

7. Information and noise

8. Telemetry

9. Computer Networks / measurement and control systems

10. Specifications and reliability of systems

11. Implementation of DACS

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Optional job preparation and presentation of up to 24%, less than the proportion of written examination 

Recommended or required Bibliography

1.Συλλογή και επεξεργασία δεδομένων, Τσελές Δ., Σύγχρονη Εκδοτική ΕΠΕ

2.Εφαρμογές Συστημάτων Συλλογής Δεδομένων, Πυρομάλης Δ. -Τσελές Δ., Σύγχρονη Εκδοτική ΕΠΕ, 2012

3.LabView για μηχανικούς, Καλοβρέκτης Κωνσταντίνος, Εκδόσεις Α. Τζιόλα & ΥΙΟΙ Ο.Ε

4.LabVIEW based Advanced Instrumentation Systems, Sumathi, S.Surekha, P., Heal-Link/Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών

5.Bentley John P., Συστήματα μετρήσεων,Βασικές Αρχές, Στέλλα Παρίκου & ΣΙΑ ΟΕ

             Διαδικτυακή Βιβλιογραφία Ανανεούμενη Ετήσια

COMMUNICATIONS

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face lectures and Laboratories  
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

                        

1. In-depth knowledge and critical understanding of the theory and principles of  signal transmission by the use of modulation and demodulation techniques and baseband transmission of digital signals.  

2. Knowledge and skills in design, operation and usage of a variety of communications devices and systems.

3. Good understanding of the operation of systems in which transmission of information is a substantial part, e. g. mobile telephony, computer networks, tele-control, etc.

 

Specifically, students will be able:

 

1. To identify and comprehend the structural parts of a communication system. 

2. To evaluate the performance of an information transmission system.

3. To develop and apply techniques that upgrade the performance of a communication system.

4. To maintain and upgrade communication systems. 

5. To know and apply the rules and recommendations related to environmental protection from the excessive use of communication systems.

6. To write the specifications for the procurement of a communication system. 

Module Description

1. Spectral analysis of signals 

2. The Fourier transform 

3. Amplitude modulation 

4. Frequency modulation

5. Digital modulation 

6. Sampling – quantization – coding of signals 

7. Delta modulation

8. Time and Frequency Multiplexing  

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Recommended or required Bibliography

1.Communications Principles,  C. Caraiscos, Synchroni Ekdotiki, Inc., 2010.

2.Digital and Analog Communication Systems, K. Sam Shanmugam, John Wiley and Sons, Inc., 1990, .

3.Communication Systems, Simon Haykin, John Wiley and Sons, Inc., 2001. 

4.Analog and Digital Communications, Hwei P. Hsu, Schaum’s Outline Series, 1993.

 Communications and Computer Networks, A. Alexopoulos – G. Lagogiannis, self edition, 1990.

ADVANCED TOPICS IN CONTROL SYSTEMS

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face lectures
Weekly Hours:  Lectures 3
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Having successfully completed the course, students will be capable of:

 

•Building a system model, analyze its operation, design a suitable control solution and evaluate the closed-loop performance by means of advanced representation and control techniques. 

•Acquiring in-depth knowledge of the subtleties of modeling and controller design methodologies taught in previous courses.

•Drawing conclusions on the importance of system optimization (by means of state-of-the-art modeling and control methods) with respect to its operational performance, and its impact on economy and society.

•Understanding the importance of research in the field of control systems, and acquiring the theoretical tools required for postgraduate studies.

Module Description

1.System modeling via Lagrange methods.

2.System representation via signal flow graphs, Mason’s rule.

3.Generalized root locus and closed-loop systems with positive feedback.

4.Analytical control system design via reference model matching. 

5.State-space representation, part I: Review of basic facts and special features (controllability observability).

6.State-space representation, part II: Controller design using state feedback, the problem of closed-loop pole placement for achieving desired closed-loop performance.

7.Frequency response and controller design: Using the open-loop BODE plots for achieving desired closed-loop performance.

8.Non-linear autonomous systems, part I: Stability existence and characterization using the direct Lyapunov method.

9.Non-linear autonomous systems, part II: Controller design using the direct Lyapunov method.

10.   Basic facts on stochastic systems.

Assessment Methods and Criteria

Written exam: 100%

Recommended or required Bibliography

1.Dorf R., Bishop R., Σύγχρονα συστήματα αυτομάτου ελέγχου, Εκδ. Τζιόλα, Θεσσαλονίκη 2003.

2.     Παρασκευόπουλος Παρ., Αναγνώριση Συστημάτων και Προσαρμοστικός Έλεγχος, Αθήνα 1992.

DIGITAL SIGNAL PROCESSING

Module Description

Full Module Description:
Mode of Delivery:

Face-to-face

Weekly Hours: Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Upon successfull completion of the course, the students will be able to:

1.Deep knowledge and understanding of digital signal theory and its relationship with the analog domain.  

2.Knowledge and abilities in mathematical tools that assist in the analytical study and processing of digital signals and in the understanding of the issues or constraints that arise during signal processing in the digital domain.

3.     Knowledge and capability for design, synthesis, programming, debugging and repair of a digital system with the use of a computer system. 

Module Description

1.Analog signals, Fourier Transform (FT), Fourier Series.

2. Continuous-time LTI systems. 

3.Discrete-time signals of infinite duration, Discrete Time Fourier Transform (DTFT), 

4.Discrete-time LTI systems, linear convolution, moving average filters, comb filters. 

5.Sampling process, Nyquist Theorem and aliasing, A/D converters, relation to analog domain. 

6.Digital signals of finite duration, Discrete Fourier Transform (DFT), relation to FT and DTFT, resolution of DFT and window selection, circular convolution and relation to linear convolution. 

7.Difference equations, Z Transform, introduction to FIR and IIR filters.

8.Analysis of digital systems with the aid of a computer system.

9.     Design and implementation of a digital signal processing system with the aid of a computer system. 

Assessment Methods and Criteria

 Written Exam 60%

Laboratory exercises 40%

Recommended or required Bibliography

1.Σημειώσεις Μαθήματος, Δ. Κάντζος.

2.Ψηφιακή Επεξεργασία Σήματος, Γ. Σύρκος, Αυτοέκδοση.

3.A Course in Digital Signal Processing, B. Porat, Εκδόσεις John Wiley and Sons.

4.Discrete-Time Signal Processing, A. Oppenheim, R. Schafer, J.R. Buck, Εκδόσεις Pearson Education.

5.Digital Signal Processing, Shaum’s Outline Series, M. H. Hayes, Εκδόσεις McGraw-Hill.

6.Digital Signal Processing: Principles, Algorithms and Applications, J.G. Proakis, D.K. Manolakis, Εκδόσεις Prentice Hall.

 

6th Semester

ROBOTICS

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Upon successful completion of the module, students will be able to:

1. Identify and enumerate the main types of robotic system, according to the work / process performed.

2. Examine and categorize the sub-systems and components of complex integrated robotic system.

 3. Represent a robotic system, in the form of block diagram and functional and information flow diagram.

4. Select the structure and parameters of the sub-systems that make up a robotic system.

5. Enumerate and describe common problems and issues relating to interfacing and programming examples of robotic systems.

6. Expose, in a summary report, the methods and techniques for resolving interfacing and control problems within a robotic system.

Module Description

Background of Robotics: purpose and applications of robots

Robot structure and characteristics

Robot geometry - mechanicsms

Kinematics: rotations

Kinematics: homegeneous transofrmations

Direct kinematic problem, Denavit-Hartenberg coordinates

Robot control - electical actuation

Robot control - proportional derivative algorithm

Path planning

Robotic job programming: planning and information flow.

Assessment Methods and Criteria

Theory =60%

- Final written examination.

- Project work (non-compulsory) contributing up to 25% of total mark for theory (in this case the contribution of the written examination is reduced accordingly).

 

Laboratory =40%

- Project work.

- Final oral examination

 

Support

- Indicative solutions of earlier examination papers

- Marking scheme for written examination and project work

- Examination topics

Recommended or required Bibliography

Software (available as open, web- or public access, or under academic licence) 

Robot simulation

Analysis of kinematics

Books in Greek (EL)

F. Koumboulis & V. Mertzios, "Introduction to Robotics",  ed. Papasotiriou, 2002 [Evdoxos 9626]

Graig J., " Introduction to Robotics ", ed. Tziola, 2009 [Evdoxos 18548724]

Additional references, including web-based material  provided during the lectures.

Laboratory equipment and materials.

INDUSTRIAL CONTROLLERS

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories
Weekly Hours:  Lectures 3, Laboratory Exercises 3
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

The aim of the course is to educate the students regarding PID based control and the PID optimization methods of Ziegler-Nichols and Cohen-Coon, to practice PLC programming, to train and understand supervisory control using SCADA systems and practice on industrial control lab exercises.

Upon completion of the course students will be able to:

1.Identify and describe the elements of a PID controller

2.Optimize the P, I and D elements, using well established methods such as Zeigler Nichols Και οι Cohen Coon.

3.Understand and program contemporary industrial logical controllers.

4.Manage distance based supervision and control systems (SCADA)

5.Work on industrial environments

Module Description

1.Analog control systems

2.Introduction to controllers 

3.Proportional, Integral, Derivative controller 

4.Ziegler-Nichols tuning method

5.Cohen –Coon tuning method

6.Computer based control

7.Digital Control 

8.Contemporary control

9.Adaptive control

10.Introduction in Programmable Logical Controllers

11.PLC programming

12.Fuzzy logic and control

13.Control systems performance 

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40% 

Recommended or required Bibliography

1.Deshpande P.B., Ash R.H., Elements of computer Process Control, Instrument Society of America, North Carolina , 1981.

2.Stefanopoulos G , Chemical Process Control , Prentice-Hall , New Jersey , 1984.

3.Leigh J.R ,Applied Digital Control , Prentice-Hall , International, London , 1985.

4.Jacob J.M , Industrial Control Electronics, Prentice-Hall, New Jersey, 1988.

5. Fallside F. , «Control System Design by pole zero Assignment» , Academic Press, 1977.

6. Κινγκ Ρ.Ε , «Βιομηχανικός Έλεγχος», Παπασωτηρίου , Αθήνα 1996.

7. Ρουμπής Σ. , «Αυτοματισμούς με PLC»,Siemens, Αθήνα 1987.  

COMPUTATIONAL INTELLIGENCE

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face
Weekly Hours: Lectures 3
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

The main scope/goal of the course is to enable students to acquire a good level of knowledge of the fundamental principles and the models of Artificial Neural Networks (ANN) and the Genetic Algorithms (GA). The introduction of new concepts is presented with the greatest independence possible i.e. with the least amount of prerequisite knowledge possible. The theory of ANN offers an alternative way to deal with real world systems and the students have the opportunity to study complex systems. The GA offers a different way of dealing with real system optimization. The course constitutes of the theoretical part taught in the classroom and the exercises practice which includes tools for development of ANN and GA algorithms through the MATLAB environment. The familiarization with computational intelligence techniques provides students with the ability to develop and design control systems.

Module Description

I.Artificial neuron, Learning in the simple neuron, δ rule for step and continuous activation functions

II.Artificial neural models, Learning ANN with supervision, Backpropagation method

III.Structure of GA, development paradigm how and where used the GA 

IV.MATLAB Neural Network Toolbox, MATLAB Optimization Toolbox 

Assessment Methods and Criteria

 Written examination: 100%

Recommended or required Bibliography

Recommended Book and Journal Article Resources:

1.Σ. Τζαφέστας, Υπολογιστική Νοημοσύνη, Τόμος Α, Τόμος Β, 2002.

2.Γ. Θεοδώρου, Εισαγωγή στην Ασαφή Λογική, Εκδόσεις Τζιόλα, 2010.

3.Ρ-E Κινγκ, Ευφυής Έλεγχος, Τζιόλα, 2004.

4.Γ. Μπούταλης, Γ. Συρακούλης, Υπολογιστική Νοημοσύνη και Εφαρμογές, 2010.

6.L.X. Wang, Α Course in Fuzzy Systems and Control, Prentice Hall, 1997.

7.J. Jang, C. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, Prentice Hall, 1997.

8.T. Ross, Fuzzy Logic with Engineering Applications, MacGraw-Hill, NY, 1995.

9.B. Kosko, Fuzzy Engineering, Prentice Hall, 1997

10.L. Tsoukalas, R. Uhrig, Fuzzy and Neural Approaches in Engineering, MATLAB Supplement, John Wiley & Sons, 1997.

11.F. Karray and C. De Silva, Soft Computing and Intelligent Systems Design, Addison

MECHATRONICS

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Upon successful completion of the module, students will be able to:

1. Identify and enumerate the main types of mechatronics system, according to the work / process performed.

2. Examine and categorize the sub-systems and components of complex integrated mechatronics system.

 3. Represent a mechatronics system, in the form of block diagram and functional and information flow diagram.

4. Select the structure and parameters of the sub-systems that make up a mechatronics system.

5. Enumerate and describe common problems and issues relating to interfacing and programming examples of mechatronics systems.

6. Expose, in a summary report, the methods and techniques for resolving interfacing and control problems within a mechatronics system. 

Module Description

Background of Mechatronics

- motivation and purpose of the Mechatronics approach

- content and scope of Mechatronics

- theoretical model of a mechatronics system

- applications of Mechatronics

Mechatronics systems, sub-systems and interfaces

- energy and information flow in the sensing sub-system

- energy and information flow in the actuating sub-system

- interfacing digital (binary) sensors and actuators

- inerfacing analogue sensors and actuators

- application examples

Assessment Methods and Criteria

Theory =60%

- Final written examination.

- Project work (non-compulsory) contributing up to 25% of total mark for theory (in this case the contribution of the written examination is reduced accordingly).

 

Laboratory =40%

- Project work.

- Final oral examination

 

Support

- Indicative solutions of earlier examination papers

- Marking scheme for written examination and project work

- Examination topics

Recommended or required Bibliography

Software (available as open, web- or public access, or under academic licence) 

Microcontroller programming (e.g. Arduino intergated development environment)

Electronics simulation

Dynamic response simulation

Books in Greek (EL)

Nesculescu D. "Mechatronics", ed. A. Tziolas, 2011 [Evdoxos 18548929]

Auslander D. και C. Kempf, "Mechatronics", ed. NTUA, 1998 [Evdoxos25897]

Additional references, including web-based material  provided during the lectures

Reference material for Arduino http://www.arduino.cc

Laboratory equipment and materials (workstations, power supplies, measurement and testing devices, tools etc.).

DIGITAL CONTROL SYSTEMS

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

This course extends basic system modeling and controller design principles (as applied to continuous-time systems) to the case of discrete-time systems. Specifically, emphasis is given on using control system design tools developed in past courses (2201304, 2201401, 2201703) for ensuring problem-free operation of the controlled system during its discrete-time implementation.

Upon successfully completing the course, students will be in position to:

1.Have in-depth knowledge and critical understanding of the theory and principles of digital control systems and their applications

2.To distinguish the specific characteristics and differences of discrete/digital, hybrid and analog systems.

3.Transform an analog system to discrete and vice versa

4.Analyze the behavior of a discrete system in time domain and in frequency domain

5.Design and synthesize controllers that will be implemented using digital hardware.

6.Apply digital control systems’ principles and techniques to discrete or continuous time systems

7.     Gain through the lab part of the course, practical experience of the analysis and the design of control systems’ applications in the discrete domain 

Module Description

(1)Review of continuous- and discrete-time system representations: Laplace versus Z-transform, differential and difference equations

(2)Properties of Z-transform, convolution, initial and final value theorems, discrete transfer function.

(3)System response in discrete-time: Inverse Z-transform, partial-fraction expansion, other alternatives.

(4)System operation in a discrete-time context, part I: The impulse invariance, zero order hold (ZOH) and Tustin transformations, comments on frequency aliasing and warping.

(5)System operation in a discrete-time context, part II: Stability and time response in discrete time, comparisons with continuous-time characteristics.

(6)System operation in a discrete-time context, part III: Transforming continuous-time controllers to their discrete-time counterparts.

(7)Case study: The first-order lag plus time-delay (FOLPD) system in a discrete-time context.

(8)State-space representation and control in discrete time, part I: Controllability, observability, pole placement.

(9)State-space representation and control in discrete time, part II: Dead-beat control, Luenberger observers.

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Recommended or required Bibliography

1.Ψηφιακός Έλεγχος, Κλασσικός Σύγχρονος Εξελικτικός Με Matlab, Σύρκος Γεώργιος, 2004

2.Εισαγωγή στη Σχεδίαση Συστημάτων με το MATLAB, Σύρκος Γεώργιος, Κούκος Ιωάννης, 2004

3.Συστήματα Αυτομάτου Ελέγχου, Θεωρία και Εφαρμογές, Τόμος Β: ΣΑΕ Διακριτού Χρόνου, Π. Ν. Παρασκευόπουλος, 2007.

4.Computer-Controlled Systems: Theory and Design, Third Edition,  Karl A Astrom & Bjorn Wittenmark, 2011.

5.Discrete-Time Control Systems (2nd Edition), Katsuhiko Ogata,1995.

6.Digital Control System Design, M. Santina, A. Stubberud & G. Hostetter, Saunders College Publishing, 1994. ISBN 0-03-076012-7.

7.Digital Control Systems Analysis and Design, C. Phillips & H. Troy, Prentice Hall, 1984

 

HISTORY OF AUTOMATION

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face
Weekly Hours:  Lectures 2
ECTS:  3
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will be able:

 

•To distinguish the steps of evolution of technology and automata from ancient times until today.

•To identify the basic concepts related to the technology of automatic control.

•To carve the road leading from the desire to the result, as it is indicated from the vision to the implementation of automata through their evolution from mythical to Hellenistic automata.

•To modify the motion of a body by means of an external energy source to its own self-motion by means of an internal source of energy.

•To combine the progress of science and technology of automatic control with other sciences, social development and culture of man from ancient Greek tradition to the Renaissance, the Industrial Revolution and the modern era.

Module Description

1.Introduction to the History of Technology and Automata – Basic concepts.

2.Parallel evolution of Technology and Society – The main periods that characterize the History of Technology and the role of Automata during these periods.

3.The Homeric Shield of Achilles as an example of the transition from poetic description to technical creation.

4.Mythical Technology and mythical Automata – The Automata as a vision.

5.Technology in Herodotus - The first historical Automata in the Mediterranean.

6.The evolution of the Greek technical conception of flight – Daedalos, Archytas, Kleoitas.

7.The philosophical prehistory of automatic control in the pre-Socratic and classical times – Contradiction, Feedback, Cybernetics.

8.The evolution of Greek technical conception of time measurement – Self-regulating hydraulic clocks and the Antikythera Mechanism.

9.The engineers from Alexandria – Ktesibios, Filon and Heron. Programming of motion and closed loop automatic control systems in the Hellenistic period.

10.Meta-Hellenistic, Byzantine and Arabic automata.

11.Automata and European Renaissance – Leonardo da Vinci.

12.Automata and Industrial Revolution – The innovations that led to the first steam engine.

13.Modern evolution of automatic control. 

Assessment Methods and Criteria

Written examinations without project: 100%

or optional:

Written project and its presentation: 40%

& written examinations: 60% 

Recommended or required Bibliography

1.Καλλιγερόπουλος Δ., Βασιλειάδου Σ., Ιστορία της Τεχνολογίας και των Αυτομάτων, Σύγχρονη Εκδοτική, Αθήνα 2005.

2.Καλλιγερόπουλος Δ., Μύθος και Ιστορία της αρχαίας ελληνικής τεχνολογίας και των αυτομάτων, Εκδ. Καστανιώτη, Αθήνα 1999, ISBN 960 03 2384 4.

3.Καλλιγερόπουλος Δ., Αυτοματοποιητική Ήρωνα του Αλεξανδρινού, Αθήνα 1996, ISBN 960 90520 02. 

TECHNICAL MANAGEMENT

Module Description

Full Module Description:
Mode of Delivery:  Lectures, and distance learning methods 
Weekly Hours:  Lectures 2
ECTS:  3
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, the student should be able to understand the organizational aspects of a technical company and the economic environment inside which it operates 

More specifically they will understand the structure of the co, the difference from other companies and the planning of technical works.

The production and productivity issues

The production methods and costs

What is meant by economies of scale

About pricing and the operation of free market 

About money, banking, loans bond and stocks for financing company operations 

The impact of monetary policies

About the involvement of government and the impact of fiscal policies

The international economic relations

As a result, the students will be in a position 

Module Description

•Technical companies, peculiarities and difference from other company forms

•Economic resources, economic systems

•Structure and organization of technical companies and technical projects

•Production, productivity in the company

•Cost of production and methods to control

•Economies of scale

•Pricing and the working of free markets 

•Money, banking loans and other forms of financing technical projects

•Bonds and sotcks

•Relation to government and fiscal policies

International economic relations, Int. tradeς

Assessment Methods and Criteria

Written examination: 50%

Web –based training and test 50% 

Recommended or required Bibliography

1.Starting Economics, G.F. Stanlake, Longman Editions, London , 1997, Fourteenth Impression

2.Lecture Notes “Τεχνικές Οργάνωσης και Οικονομίας», J. D.Angelopoulos pdf στην on web page: http//:auto.teipir.gr 

3.Introduction to Economics, David Begg, S. Fischer, R. Dornbusch, Vol. I, Εκδόσεις ΚΡΙΤΙΚΗ, Αθήνα, 1998 (Ελληνική Μετάφραση).  

7th Semester

PROCESS CONTROL

Module Description

Full Module Description:
Mode of Delivery:  Face to face 
Weekly Hours:  Lectures 3
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

The aim of the course is to provide knowledge regarding advanced control applications, the ability to optimize industrial models using adaptive control methods, the ability to implement informative control in an industrial environment, the ability to implement supervisory control and data acquisition systems and the necessary knowledge to implement distributed control systems (DCS).

Upon completion of the course students will be able to:

1.Describe, identify and implement advanced control applications

2.Optimize industrial models through adaptive control

3.To apply informative control in an industrial environment

4.To apply and develop distributed control systems

5.     To implement data processing and acquisition systems through distributed and supervisory control

Module Description

1.Introduction to process control

2.Industrial process control

3.Digital control

4.Advanced control systems

5.Adaptive control

6.Deductive control

7.Process identification – Adaptive control

8.Distributed Control Systems (DCS)

9.Commercial distributed control systems

10.Supervisory Control and Data Acquisition (SCADA)

11.SCADA and DCS peripheral systems

12.Integrated expert control systems

13.   Process identification using pulse control method

Assessment Methods and Criteria

Written examination 100% 

Recommended or required Bibliography

1.Deshpande P.B., Ash R.H., Elements of computer Process Control, Instrument Society of America, North Carolina , 1981

2.Stefanopoulos G , Chemical Process Control , Prentice-Hall , New Jersey , 1984.

3.Jacob J.M , Industrial Control Electronics, Prentice-Hall, New Jersey, 1988.

4.kusic G.L. Computer power systems analysis , Prentice- Hall ,New Jersey ,1986.

5.Τορτέλης Δ. ‘Κατανεμημένα Συστήματα Ελέγχου YOKOGAWA ‘ , Σεμινάριο Συστήματα Εποπτικού ελέγχου και Συλλογής Πληροφοριών (SCADA) 1992 , Αθήνα.

6.Λυγερός Α.Ι ,Στεριούλης Γρ. , ‘Από το Κατανεμημένο Σύστημα Ρύθμισης (DCS) στην προηγούμενη ρύθμιση (APC) και το ολοκληρωμένο σύστημα πληροφορικής (MIS) στα Ε.Λ.Δ.Α. ‘Ημερίδα Συλλόγου Χ.Μ’ , Αθήνα ,Μάιος 1994.

7.Κρικέτου Β.Γ , Παστρά Κ.Σ , <<έμπειρα συστήματα>>, Εκδόσεις ΕΑΝΤ , Αθήνα 1989.

8.Harmon R.W , << Advanced Process Control>>, McGraw Hill , 1981.

9.Olsson G. , Piano G,<> ,Prentice-Hall,1992.

 

INTERNET PROTOCOLS

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

The main purpose of the course is a deeper knowledge of the internal workings of the Internet and its protocols, in order to give to the graduate the ability to integrate Web applications into systems that are designed either in the field of automation or in industrial computing exploiting the Internet as a component of the overall system.

This course covers the necessary skills expected by the graduate profile and is aligned with the mission of the automation department. The student at the end knows how to use the Internet as a tool for bridging remote units and creating distributed systems. In detail: 

•How IP addressing is designed and how the  IP Protocol operates

•How Packet routing and routing tables work and how they are maintained

•About Topology discovery algorithms

•How the ICMP Internet Control Message Protocol operates

•The workings of TCP  and congestion control algorithms 

•Το IPv6, UDP, FTP, etc

•About how the The Web and the HTTP protocol work and how applications based on these are built and maintained

•The reasoning for the introduction of MPLS in lieu of packet routing

Furthermore and based on the above the students will acquire  In-depth knowledge and critical understanding of the theory and principles of the use of new technologies and information systems in the design of products and processes and the operation of production units in the framework of the Internet.

2. Knowledge and skills in modeling and simulation systems, optimization and design of products, processes and systems, planning and control of production by using computer networks and the Internet

3. Knowledge and synthesis skills, construction, programming, maintenance, supervision of operation, debugging and design system repair and production using computer networks over the globe

Module Description

•IP addressing and the  IP Protocol

•Packet routing and routing tables

•Topology discovery algorithms

•ICMP Internet Control Message Protocol

•TCP  and congestion control

•Το IPv6, UDP, FTP, etc

•The Web and the HTTP protocol.

•MPLS and VPN

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Recommended or required Bibliography

1.Lecture Notes “Internet Protocols” J.D. Angelopoulos pdf on web page: http//:auto.teipir.gr 

2.Tanenbaum, Andrew S., "Computer Networks", Fourth Edition, Prentice Hall, 2003, ISBN 9600133499456.

3.James Kurose, Keith Ross, “Computer Networking, 3rd Edition, Int. Edition, Addison Wesley, ISBN:0-321-26976-4

4.TCP/IP Illustrated, W. Richard Stevens, Addison-Wesley

5.Interworking with TCP/IP vol. I, Principles, protocols and Architecture, 2nd ed. Douglas Comer, Prentice-Hall Int.

6.Jean Walrand, "Communication Networks", 2nd ed., McGraw Hill, 1998, ISBN 0256205671. 

INTELLIGENT CONTROL

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  6
Web Page:
Moodle Page:

Learning Outcomes

The main scope/goal of the course is to enable students to acquire a good level of knowledge of the fundamental principles and the models of fuzzy logic and to understand the function of fuzzy logic systems. The introduction of new concepts is presented with the greatest independence possible i.e. with the least amount of prerequisite knowledge possible. The theory of fuzzy logic offers an alternative way to deal with real world systems and the students have the opportunity to study complex systems, the mathematical modeling of which is elaborate. In the laboratory exercise of the course it has been attempted to convey the link between theory and practice seamlessly. The first experience of students with the development of intelligent techniques is achieved through the MATLAB environment. The familiarization with intelligent control techniques provides students with the ability to develop and design control systems.

Module Description

•Introduction – Fuzzy sets, Membership functions

•Operations on Fuzzy Sets

•The Extension Principle – Linguistic Variables

•Fuzzy Relations – Compositional Rule of Inference 

•Fuzzy Logic

•Fuzzy Reasoning (Approximation Reasoning)

•Fuzzy Knowledge Base – Fuzzy Inference Engine (Mamdani, Larsen, Tsukamoto)

•Fuzzy Logic Systems (FLS) – Fuzzification-Defuzzification methods

•Fuzzy Reasoning TSK

•Fuzzy Logic Controllers (FLC)

•FLC type PID

•Optimization of FLS

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Recommended or required Bibliography

- Recommended Book and Journal Article Resources:

1.Σ. Τζαφέστας, Υπολογιστική Νοημοσύνη, Τόμος Α, Τόμος Β, 2002.

2.Γ. Θεοδώρου, Εισαγωγή στην Ασαφή Λογική, Εκδόσεις Τζιόλα, 2010.

3.Ρ-E Κινγκ, Ευφυής Έλεγχος, Τζιόλα, 2004.

4.Γ. Μπούταλης, Γ. Συρακούλης, Υπολογιστική Νοημοσύνη και Εφαρμογές, 2010.

6.L.X. Wang, Α Course in Fuzzy Systems and Control, Prentice Hall, 1997.

7.J. Jang, C. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, Prentice Hall, 1997.

8.T. Ross, Fuzzy Logic with Engineering Applications, MacGraw-Hill, NY, 1995.

9.B. Kosko, Fuzzy Engineering, Prentice Hall, 1997

10.L. Tsoukalas, R. Uhrig, Fuzzy and Neural Approaches in Engineering, MATLAB Supplement, John Wiley & Sons, 1997. 

TELEMATICS APPLICATIONS

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

The purpose of this course is twofold: cover special issues that were not covered in the other two network courses and teach how applications work over the Internet and ways to exploit these applications for the development of practical system that cover customer needs.

The main themes of this course are:

•Network security and cryptographic approaches

•Protocols to carry voice and video over the Internet, and comparison of VoIP versus ISDN.

•WLAN protocols and operation

•Web development and web-based applications

Upon completion of the course, students will have the necessary skills expected by the graduate profile and is aligned with the mission of the automation department. The student at the end knows how computer networks work and how can be used in automation. More specifically, students will have;

1. In-depth knowledge and critical understanding of the theory and principles of the use of telematics applications and information systems.

2. Knowledge and skills in modeling and simulation, optimization and design of networking components, products, processes and systems, planning and control of production by exploioting computer networks.

In detail, students will be able to:

1. To describe and identify the parts, to choose the functions and operations of an application and draw up specifications.

2. To explain the operation of usual computer network applications, to assess performance and to calculate the operating parameters.

3.  Implement certification and quality improvement techniques and design and support telematics applications for Industrial Control Systems and other purposes.

4. To know and apply the rules and recommendations related to environmental protection.

Module Description

The course presents 

The web and the protocol HTTP, 

Simple applications (e-mail. ftp, browsers etc), HTML, HTTP, ASP, 

Real time voice transport using IP– (VoIP), Τεχνολογία VoIP

Comparison with ISDN, 

Network Security, 

Secret key cryptography and use in networks, 

Public key cryptography and use in networks, 

Wireless LANs.

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40% 

Recommended or required Bibliography

1.Lecture Notes on Telematics Applications J. D. Angelopoulos

2.Tanenbaum, Andrew S., "Computer Networks", Fourth Edition, Prentice Hall, 2003, ISBN 9600133499456.

3.James Kurose, Keith Ross, “Computer Networking, 3rd Edition, Int. Edition, Addison Wesley, ISBN:0-321-26976-4

4.TCP/IP Illustrated, W. Richard Stevens, Addison-Wesley

5.Interworking with TCP/IP vol. I, Principles, protocols and Architecture, 2nd ed. Douglas Comer, Prentice-Hall Int.

6.Jean Walrand, "Communication Networks", 2nd ed., McGraw Hill, 1998, ISBN 0256205671.

 

INFORMATION SYSTEMS MANAGEMENT

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

On the successful completion of the course, students will be able to:

•Describe definitely an Automation Information System and its parts and analyze their operations.

•Understand and describe the information needs of an organization

•Produce a feasibility study for the development and implementation of an I.S

•Analyze, design, develop, implement and support the operation of an I.S.

•Evaluate and measure of performance of an I.S.

•Debug and solve problems of an integrated I.S.

•Improve the operation of an integrated I.S.

•Study, research, develop, organize and promote innovative I.S. for several applications.

Module Description

•Analysis of information needs of an organization. Species, components and function of IS

•Category of IS

•feasibility study of an IS

•Development of an IS

•Ιdentifying a characteristics components of an IS

•Unified Modeling Language

•Standards of IS

•Integrated IS

•Design, development and programming of an integrated IS

•Improvement and modernization of an integrated IS

•Supervision maintenance and recovery operation control of an IS

•Complete study of development, installation and operation of an IS

•Case study 

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise: 40%

Recommended or required Bibliography

1.«Εισαγωγή στο ηλεκτρονικό εμπόριο e-επιχειρείν» , Γρηγόρης Π. Χονδροκούκης, ISBN: 978-960-7996-19-0

2. «Εισαγωγή στην επιστήμη των υπολογιστών» , Ν. Αλεξανδρής, Β.Σ.Μπελεσιώτης, Θ. Παναγιωτόπουλος, ISBN: 978-960-7996-17-8

3.«Εισαγωγή στην πληροφορική» , Ν. Αλεξανδρής, Β.Σ.Μπελεσιώτης, Θ. Παναγιωτόπουλος, ISBN: 960-7996-01-1

4. «Συστήματα Υποστήριξης Αποφάσεων» , , Γρηγόρης Π. Χονδροκούκης, ISBN: 978-960-7996-23-7

5.«Αντικειμενοστραφής τεχνολογία λογισμικού» , Μαρία Κ. Βίρβου , ISBN: 978-960-7996-45-9

6.«Αρχές και εφαρμογές σημάτων και συστημάτων» , Γ. Τσιχριτζής, Χ. Δουληγέρης, ISBN:978-960-7996-50-3

7.«Πληροφοριακά συστήματα: Οργάνωση, μεθοδολογία, εφαρμογές» ,Τασόπουλος, Αναστάσιος ISBN13: 9789603516262

8.«Πληροφοριακά συστήματα και ομαδικές αποφάσεις Μεθοδολογία και εφαρμογή» , Ριγόπουλος  Γιώργος, ISBN13: 9789606759215

9.«Πληροφοριακά συστήματα Από τη θεωρία στην πράξη» Παπαθανασίου  Ελευθέριος Α., Καρδαράς  Δημήτριος Κ. , ISBN13: 9789608249868

10.«Πρακτικά θέματα ασφάλειας πληροφοριακών συστημάτων και εφαρμογών» , Πολέμη Νινέτα, Καλιοντζόγλου Αλέξανδρος, ISBN13: 9789606759154

11.«Συλλογή και επεξεργασία δεδομένων» , Τσελές Δημήτριος , ISBN: 978-960-8165-37-3

12.«CAD – CAM» , Τσελές Δημήτριος , ISBN: 978-960-8165-60-1

13.«Εφαρμογές Συστημάτων Συλλογής Δεδομένων», Δ. Πυρομάλης, Δ. Τσελές, 

14.«Τεχνολογία λογισμικού» Γιακουμάκης, Μανόλης, Διαμαντίδης, Νίκος, ISBN13: 9789603517832 

CNC TECHNOLOGY

Module Description

Full Module Description:
Mode of Delivery:  Live interaction /  face-to-face
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Upon successful completion of the module, students shall be able to:

1. Identify and enumerate the main types of CNC machinery and related electromechanical devices, according to the work / process performed.

2. Examine and categorize the sub-systems and components of complex electro-mechanical machinery, typical of CNC machines.

3. Represent a control system for CNC machine, in the form of block diagram and functional and information flow diagram.

4. To select the structure and parameters of a digital controller, appropriate for controlling a (single axis) electromechanical motion in terms of position, speed and torque/force.

5. Enumerate and describe common problems and issues relating to real-time operation and programming  of CNC machinery and other electromechanical precision devices.

6. Expose, in a summary report, the methods and techniques for resolving real-time operation  of CNC machinery, using hardware and software.

7. To present, in the form of appropriate textual or graphic form, the organization of multitasking operation.

8. Code and debug application programming, for integrated micro-controller environment, applying real-time software techniques.

9. Prepare and present examples of pilot-scale electromechanical systems, operating under digital control.

Module Description

1. Computer numerically controlled motion: scope and application

2. Practical CNC systems composition (architecture)

3. CNC machinery and digital control requirements

4. Common machining and related processes

5. Interfacing and peripherals for CNC

6. DC motor control

7. Stepper motor control

8. Display control

9. Position sensing

10. Real time application programming for CNC

11. Tasking in micro-controller systems

12. Input handling

13. Output handling

14. Simple cooperative multitasking

Assessment Methods and Criteria

Written examination.

Optional short project (report) contributin up to 25% of total mark.

Indicative solutions of earlier exams, marking scheme, examination topics are made available at the beginning of the term and before the examinations.

Recommended or required Bibliography

1.Software (available as open, web- or public access, or under academic licence) 

2.Microcontroller programming (e.g. Arduino intergated development environment)

3.Electronics simulation

4.Discrete-event simulation

5.Books in Greek (EL)

6.Stebe Krar & G. Arthur, "Μηχανές Αριθμητικού Ελέγχου CNC", ed. Α. Tziola, 1998.

7.Dieter Brehme, "Εργαστήριο Εργαλειομηχανών CNC", ed. G. & S. Parikou, 1999.

 

ENGLISH TERMINOLOGY

Module Description

Full Module Description:
Mode of Delivery:  Lectures in class, face-to-face, English Language Computer Laboratory
Weekly Hours:  Lectures 3, Laboratory Exercises 2
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

 Upon completion of the course students will be able to:

•Understand scientific texts relative to the field of Automation Engineering, either globally (global understanding) or thoroughly (scanning-thorough comprehension)

•Acquire the terminology and syntax of scientific texts through various methods and techniques

•Analyze the structure and organization elements of scientific speech on multiple levels (sentence, paragraph, text)

•Produce oral speech and construct written speech of multiple forms (instructions, description of components, functions and processes, essay writing, reports, professional mail etc.)

•Specifically, students will be able to:

•Acquire and use technical vocabulary, terminology and structure connected to the field of Automation Engineering 

•Extract specific information from texts about components, devices, structures, and processes

•Identify devices, components, structures, processes and explain their function

•Understand the structure and function of devices and components

•Recognize differences between types of devices and components

•Understand the relation between structures, components and processes

•Understand the features and technical specifications of different components and devices

•Describe devices, components, structures, and processes

•Discriminate between different types of processes

Module Description

 •Control Systems

•Industrial Control-Programmable Logic Controllers (PLCs)

•Artificial Intelligence: Machine Learning Systems – Expert Systems

•Flexible Manufacturing I

•Flexible Manufacturing II

•CAD/CAM

•Computer Numerical Control

•Information Management and Processing

•Robotics

•Mechatronics

•Microelectromechanical Systems

Assessment Methods and Criteria

Final examination: 100%

Individual project/paper : up to 20%, added to total score 

Recommended or required Bibliography

 1.Several Internet Sources 

2.Authentic reading texts

 

TECHNICAL PROJECT DEVELOPMENT

Module Description

Full Module Description:
Mode of Delivery:  Live interaction /  face-to-face
Weekly Hours:  Lectures 2
ECTS:  3
Web Page:
Moodle Page:

Learning Outcomes

1. Construct and present a structured workplan, in the form of PERT and Gantt chart, given a textual or tabular description of a project.

2. Identify the critical path in a project workplan and calculate the impact of partial delays on the duration of the entire project.

3. Calculate resource use, in the form of a scalar function of factors appearing in and related to the project activities (work-packages).

4. Given a textual or tabular description of a project, establish its control structure in the form of decision tree.

5. Given a textual or tabular description of a project, establish its control structure in the form of two-party game table.

6. Given a textual or tabular description of a project, establish a mathematical form for the objective function relating to the decisions / control actions involved.

7. Calculate the optimal decision / control scenario, under different operating assumptions.

Module Description

1. Introduction to technical and techno-economical reporting: structure, layout, contents

2. Report within the business and project setting

3. Techno-economical reporting for process optimisation

4. Basics of decision theory

5. Decision trees and corresponding business problems

6. Optimal path selection based on expected value

7. Objwective functions, typical cases for business problems

8. Subjective probability

9. Game theory basics, classification and the notion of equilibrium

10. Project planning, project management basics

11. Use of charts: PERT, Gantt

12. Project analysis and evaluation: critical path, accumulated cost, risk metrics.

Assessment Methods and Criteria

Written examination : 100%.

Optional short project (report) contributing up to 25% of total mark.

Indicative solutions of earlier exams, marking scheme, examination topics are made available at the beginning of the term and before the examinations.

Recommended or required Bibliography

Available software (available as open, web- or public access, or under academic licence) 

project management

decision simulation

game (actor) simulation

Books in Greek (EL)

Μαγείρου Ε., "Παίγνια και Αποφάσεις", Κριτική, 2012, Εύδοξος= 22727935

Gibbons R., "Εισαγωγή στη θεωρία παιγνίων",  Gutenberg, 2009, Eύδοξος= 31325

Μηλιώτη Ε., "Οικονομοτεχνικές Μελέτες", Σύγχρονη Εκδοτική (Εύδοξος=4372)

Αναστασίου Θ., "Οικονομοτεχνικές Μελέτες",  Έλλην (Εύδοξος=16520)

 

WORK SAFETY AND ENVIRONMENTAL PROTECTION

Module Description

Full Module Description:
Mode of Delivery:  face -to-face
Weekly Hours:  Lectures 2
ECTS:  3
Web Page:
Moodle Page:

Learning Outcomes

The purpose of this course is to provide students with the necessary knowledge on the treatment of occupational hazards that exist or may arise in the supply of labor. The knowledge and information contribute significantly not only to improve working conditions, but primarily on the prevention of occupational risks. Such knowledge will assist the graduate in the supply of labor to know and implement measures to address the occupational hazard under current legislation (in terms of both Greek and in terms of Directives of the European Union).

Environmental Protection: The appearance of threatening phenomena such as global warming and ozone depletion became perceived the need to protect the environment which is not only an obligation of Member of planet Earth and its citizens of all states. The course aims to provide the knowledge necessary to prevent pollution and environmental degradation.

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

•Understand the basics and individual characteristics of an accident at work.

•Acquire the knowledge related to the methods and techniques of tackling and managing the risk of accidents at work.

•Distinguish the main roles of the technical safety and occupational physician in a business.

•Use and apply the laws and provisions on safety at work.

•Assess and recognize the likelihood, frequency, and addressing the risks of accidents at work.

•Analyze and propose safety measures at work.

•Concept and discrimination of the environment. 

•Air and water pollution, solid waste, environmental.

•Spatial planning and sustainable development.

•Legislation and EU Directives concerning the protection of the environment.

Module Description

Theory

1.Introductory concepts

2.Statistical data on work accidents in Greece

3.Duties and rights of employer-employee 

4.The role of  safety technician

5.The doctor specialty at working stations

6.Hellenic Labour Inspectorate

7.Accident-First Aid

8.The microclimate at the workplace

9.Lighting

10.Fire and fire protection

11.Noise in the workplace

12.Risks of electricity

13.Chemical factors as occupational risk

14.Materials’ storage

15.Welding-Cutting metal

16.Work in heights

17.Lifting and cargo handling

18.Ergonomics

19.Monitors display

20.Radiation

21.Labels Signs

22.Rating occupational risks

23.Environmental Protection

24.Air pollution

25.Water pollution

26.Soil contamination

27.Environmental Risk Assessment

Assessment Methods and Criteria

Written examination: 100%

 

Optional job preparation and presentation of up to 20%, less than the proportion of written examination.

Recommended or required Bibliography

Ξενόγλωσση:

1.Gobba F., Cavalleri A. Color vision impairment in workers exposed to neurotoxin chemicals. Neurotoxicology 2003, 24: 693-702 (Review)

2.Hengstler JG., Bolm-Audorff U., Faldum A., Janssen K., Reifenrath M., Gotte W. et al. Occupational exposure to heavy metals: DNA damage induction and DNA repair inhibition prove co-exposures to cadmium, cobalt and lead as more dangerous than hitherto expected. Carcinogenesis 2003, 24: 63-73 

3.Hum L., Kreiger N., Finkelstein MM. The relationship between parental occupation and bone cancer risk in offspring. Int J Epidemiol 1998, 27: 766-771

4.Jacquet P. Sensitivity of germ cells and embryos to ionizing radiation. J Biol Regulat Homeost Agents 2004, 18: 106-114 (Review)

5.Makowiec-Dabrowska T., Hanke W., Radwan-Wlodarczyk Z., Koszada-Wlodarczyk W., Sobala W. Working condition of pregnant women. Departures from regulation on occupations especially noxious or hazardous to women. Md Polish 2003, 54: 33-43

Ηλεκτρονικές διευθύνσεις 

1.Ιστοσελίδα Ελληνικού Ινστιτούτου Υγιεινής και Ασφάλειας της Εργασίας (ΕΛΙΝΥΑΕ):  http://www.elinyae.gr 

2.Ιστοσελίδα Υπουργείου Εργασίας και Κοινωνικών Ασφαλίσεων, Γενική Διεύθυνση Συνθηκών και Υγιεινής της Εργασίας: http://www.osh.gr

3.Ιστοσελίδα Πυροσβεστικού Σώματος Ελλάδας:  http://www.fireservice.gr  

4.European Agency for Safety and Health at Work:  http://osha.eu.int

5.International Labour Organization:  http://www.ilo.org 

6.European Commission. Employment and Social Affairs:   http://www.europa.eu.int/comm/employment_social/index_en.htm

 

1.National Institure for Occupational Safety and Health (USA):  http://www.cdc.gov/niosh/homepage.htm 

8th Semester

PLACEMENT

Module Description

Full Module Description:
Mode of Delivery:  
Weekly Hours:  
ECTS:  
Web Page:
Moodle Page:

Learning Outcomes

 

Module Description

 

Assessment Methods and Criteria

 

Recommended or required Bibliography

 

THESIS

Module Description

Full Module Description:
Mode of Delivery:  
Weekly Hours:  
ECTS:  
Web Page:
Moodle Page:

Learning Outcomes

 

Module Description

 

Assessment Methods and Criteria

 

Recommended or required Bibliography