1st Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Linear Algebra and Complex Number Theory | 4 (3 Theory + 1 Exercises) | 5 | No |
Physics | 4 (2 Theory + 2 Exercises) | 5 | No |
Statics | 3 (2 Theory + 1 Exercises) | 4 | No |
Technical Drawing | 4 (2 Theory + 2 Lab) | 5 | No |
Introduction to Computer Science | 5 (3 Theory + 2 Lab) | 5 | No |
Calculus | 5 (4 Theory + 1 Exercises) | 6 | No |
English Terminology (Elective) | 3 | 0 | No |
Total | 28 | 30 |
2nd Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Material Science | 4 (3 Theory + 1 Exercises) | 5 | No |
Programming for Engineers | 4 (2 Theory + 2 Lab) | 5 | No |
Electrical Circuits | 5 (5 Theory) | 6 | No |
Dynamics | 4 (3 Theory + 1 Exercises) | 5 | No |
Applied Thermodynamics | 4 (3 Theory + 1 Exercises) | 5 | No |
Elective B1 | 3 | 4 | No |
Total | 24 | 30 | |
Elective Β1 | |||
Philosophy of Technology | 2 Theory + 1 Exercises | No | |
Electrotechnical Materials | 2 Theory + 1 Exercises | Yes | |
History of Civilization and Technology | 3 Theory | No | |
Multivariable Functions | 3 Theory | No |
3rd Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Numerical Analysis | 5 (3 Theory + 2 Lab) | 6 | No |
Electronic Systems | 5 (3 Theory + 2 Exercises) | 6 | Yes |
Strength of Materials | 4 (3 Theory + 1 Exercises) | 5 | No |
Probability Theory And Statistics | 5 (3 Theory + 2 Exercises) | 5 | Yes |
Manufacturing Technology | 3 (2 Theory + 1 Lab) | 4 | No |
Elective Γ1 | 3 | 4 | No |
Total | 25 | 30 | |
Elective Γ1 | |||
Industrial Safety And Health | 3 Theory | Yes | |
Information Society and the Industrial Revolution | 3 Theory | No | |
Special Topics on Physics | 3 Theory | No |
4th Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Machine Elements I | 5 (4 Theory + 1 Exercises) | 6 | No |
Transform Theory And Systems | 3 (3 Theory) | 4 | Yes |
Metrology - Quality Control | 4 (3 Theory + 1 Lab) | 5 | No |
Fluid Mechanics | 5 (3 Theory + 2 Lab) | 6 | No |
Production Systems | 4 (3 Theory + 1 Exercises) | 5 | No |
Elective Δ1 | 3 | 4 | No |
Total | 24 | 30 | |
Elective Δ1 | |||
Micro-Electro-Mechanical Systems (MEMS) | 2 Theory + 1 Exercises | Yes | |
Object Oriented Programming | 2 Theory + 1 Lab | No | |
Advanced Digital Systems | 2 Theory + 1 Exercises | No | |
Reliability Management in the Internet of Things | 3 Theory | No | |
Reliability And Maintenance | 3 Theory | No |
5th Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Metal Forming Processes | 4 (3 Theory + 1 Exercises) | 5 | No |
Control Systems I | 4 (3 Theory + 1 Exercises) | 5 | No |
Electric Motors and Drives I | 6 (6 Theory) | 7 | No |
Databases and Data Structures | 4 (2 Theory + 1 Exercises + 1 Lab) | 5 | No |
Elective Ε1 | 3 | 4 | No |
Elective Ε2 | 3 | 4 | No |
Total | 24 | 30 | |
Elective Ε1-Ε2 | |||
Non-destructive Testing | 3 Theory | No | |
Embedded Systems | 2 Theory + 1 Exercises | No | |
Decision Support Systems | 2 Theory + 1 Exercises | No | |
Generalised Systems Theory | 3 Theory | No | |
Aerodynamics | 2 Theory + 1 Lab | No | |
Machine Elements Ii | 2 Theory + 1 Exercises | No | |
Hydraulic and Pneumatic Systems | 2 Theory + 1 Exercises | No | |
Engineering Software | 2 Theory + 1 Exercises | No | |
Computational Fluid Mechanics | 3 Theory | No | |
Ship Security Systems Management | 3 Theory | No |
6th Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Heat Transfer | 4 (3 Theory + 1 Exercises) | 5 | No |
Methods of Engineering Design Synthesis and Cad-cam-cae | 5 (2 Theory + 1 Exercises + 2 Lab) | 6 | No |
Programmable Controllers and Supervisory Systems | 5 (2 Theory + 1 Exercises + 2 Lab) | 6 | No |
Operational Research | 4 (4 Theory) | 5 | Yes |
Elective Στ1 | 3 | 4 | No |
Elective Στ2 | 3 | 4 | No |
Total | 24 | 30 | |
Elective ΣΤ1-ΣΤ2 | |||
Control Systems II | 2 Theory + 1 Exercises | No | |
Industrial Information Systems | 2 Theory + 1 Exercises | No | |
Electric Machines and Electric Motor Drives II | 3 Theory | Yes | |
Tribology | 2 Theory + 1 Exercises | No | |
Automotive Electrics | 2 Theory + 1 Lab | No | |
Industrial Data Networks | 2 Theory + 1 Lab | No | |
Welding Technology | 2 Theory + 1 Lab | No | |
Signals, Information And Communication | 3 Theory | Yes | |
Artificial Neural Networks and Applications | 2 Theory + 1 Exercises | No |
7th Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Information Systems | 3 (2 Theory + 1 Exercises) | 4 | No |
Principles of Economy Theory - Micro/macro Economics | 4 (4 Theory) | 5 | No |
Thermal Engines | 4 (3 Theory + 1 Exercises) | 5 | Yes |
Vehicle Technology | 3 (3 Theory) | 4 | No |
Supply Chain Management | 3 (2 Theory + 1 Exercises) | 4 | Yes |
Elective Ζ1 | 3 | 4 | No |
Elective Ζ2 | 3 | 4 | No |
Total | 23 | 30 | |
Elective Ζ1-Ζ2 | |||
Nanotechnology | 2 Theory + 1 Exercises | Yes | |
Physical and Chemical Processes | 3 Theory | No | |
Power Energy Systems and Energy Saving | 3 Theory | Yes | |
Optimisation Methods | 3 Theory | No | |
Advanced Control of Electrical Motors | 2 Theory + 1 Exercises | No | |
Automotive Electronics | 2 Theory + 1 Lab | Yes | |
Control Systems III | 2 Theory + 1 Exercises | Yes |
8th Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Modeling And Simulation | 4 (3 Theory + 1 Exercises) | 4 | No |
Wireless Systems and Networks | 4 (3 Theory + 1 Lab) | 4 | No |
Microcomputers in Production | 3 (2 Theory + 1 Lab) | 4 | No |
Electrical Installations | 4 (4 Theory) | 5 | No |
Cnc Machine Tools | 4 (2 Theory + 2 Exercises) | 5 | No |
Elective Η1 | 3 | 4 | No |
Elective Η2 | 3 | 4 | No |
Total | 25 | 30 | |
Elective Η1-Η2 | |||
Logistics and Transport | 3 Theory | No | |
Process Control | 3 Theory | No | |
Finite Element Method | 2 Theory + 1 Exercises | Yes | |
Off-road Vehicles | 3 Theory | No | |
Mechatronics | 2 Theory + 1 Exercises | No | |
Renewable Energy Sources | 3 Theory | Yes | |
Vehicle Dynamics | 2 Theory + 1 Exercises | Yes | |
Motion Transmission Systems | 2 Theory + 1 Exercises | No | |
Digital Control Systems | 2 Theory + 1 Exercises | Yes | |
Entrepreneurship | 3 Theory | No | |
Knowledge Management Systems | 3 Theory | No | |
Auto-guided Systems | 2 Theory + 1 Exercises | No | |
Enterprise Resource Planing (Erp) | 1 Theory + 2 Lab | No |
9th Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Robotics | 4 (2 Theory + 1 Exercises + 1 Lab) | 5 | No |
Project Management | 4 (3 Theory + 1 Exercises) | 5 | No |
Environmental Engineering | 3 (3 Theory) | 4 | Yes |
Human - Mechatronic Systems Interaction | 3 (2 Theory + 1 Exercises) | 4 | No |
Elective Θ1 | 3 | 4 | No |
Elective Θ2 | 3 | 4 | No |
Elective Θ3 | 3 | 4 | No |
Total | 23 | 30 | |
Elective Θ1-Θ2-Θ3 | |||
Construction Vehicles | 3 Theory | No | |
Computer-integrated Manufacturing | 2 Theory + 1 Exercises | No | |
Selected Topics on Electrical Motors | 2 Theory + 1 Exercises | No | |
Industrial Partnership | No | ||
Intelligent Systems | 2 Theory + 1 Lab | No | |
Electromobility | 3 Theory | Yes | |
Stochastic Processes | 3 Theory | Yes | |
Microcontrollers | 2 Theory + 1 Exercises | No | |
Classical Industrial Automation | 1 Theory + 2 Exercises | No | |
Gas Exchange Processes in Heat Engines | 2 Theory + 1 Exercises | No |
10th Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Diploma Thesis | - | 30 | No |
Total | - | 30 |
Linear Algebra and Complex Number Theory - 1st Semester - Course Hours:4 - ECTS:5 | Outline |
---|
1 - Linear Systems and Tables |
1.1 Systems of linear equations |
1.2 Tables |
1.3 Table operations and properties |
2 - Solving linear systems |
2.1 Elementary tables and equivalent tables |
2.2 Gaussian sequential deletion method |
2.3 Determinant method (Cramer rule) |
2.4 Finding an inverted array |
3 - Determinant |
3.1 Definition |
3.2 Determinant properties |
3.3 Inverse array |
3.4 Other applications of determinants |
4 - Diagonalization of tables |
4.1 Tables and linear representations |
4.2 Eigenvalues and eigenvectors |
4.3 Diagonalization of tables |
4.4 Finding v-th power of an array |
5 - Complex Numbers |
5.1 Basic concepts |
5.2 Complex Number Algebra |
5.3 Forms of a complex number |
5.4 Complex level |
5.5 Types de Moivre and Euler |
5.6 Fundamental theorem of algebra |
5.7 Polynomials with complex coefficients |
5.8 Roots of complex numbers |
5.9 Complex forces |
5.10 Logarithm of complex number |
6 - Applications in MATLAB environment |
Physics - 1st Semester - Course Hours:4 - ECTS:5 | Outline |
---|
Units and Vectors (Standards and units. Dimensions. Vectors. The unit vector. The position vector. Components of a vector. Scalar and vector products. Types of vectors. The derivative of a vector. Examples – Problems). |
Motion of a Particle (Rectilinear motion. Average and instantaneous velocity, acceleration. Motion in a plane. Physical coordinates. General motion in space. Coordinate systems. Motion of a projectile. Circular motion. Examples – Problems). |
Newtonian mechanics (axioms, laws of dynamics and vector form of the differential equations of motion. Conservation laws. Examples – Problems). |
Frames of Reference (Relative velocity. Galilean transformation. Inertial and accelerated frames of reference. Inertial forces. Examples – Problems). |
Energy and Conservation Laws (Impulse. Energy. Work. Conservative forces. Kinetic energy. Potential energy. Power. Linear momentum. Angular momentum and torque. Examples – Problems). |
Dynamics: (equilibria and their stability. Study of conservative 1 degree-of-freedom system, using the method of Potential. Phase diagrams). |
Applications to 1 d.o.f systems (harmonic oscillator, pendulum, systems with friction, forced oscillations. Examples – Problems). |
Central forces (conservation of angular momentum, effective potential and study of the equivalent 1 d.o.f system. Examples – Problems) |
Motion of Systems (Mechanical system of particles. Internal and external forces. Internal energy. Center of mass. Center of mass frame of reference. Momentum, energy and angular momentum of a system. Collisions. Systems of variable mass. Examples – Problems). |
Statics - 1st Semester - Course Hours:3 - ECTS:4 | Outline |
---|
- Fundamental Concepts and Principles: Principles of mechanics, Scalars and vectors, Units. |
- Analysis of Force Systems: Rectangular components, Moment and couple, Resultants, Equivalent systems. |
- Statics of Particles: Equilibrium conditions, Free body diagram. |
- Distributed Forces: Centers of mass and centroids, Area moments of inertia. |
- Statics of Rigid Bodies: Equilibrium of rigid body, Free body diagram, Reactions at supports and connections, Constraints and statical determinacy. |
- Analysis of Structures: Analysis of trusses, Method of joints, Method of sections, Analysis of frames and machines. |
- Internal Effects in Beams: Loads and supports, Relations among external loads and internal effects, Internal forces and moments diagrams. |
- Friction: Dry friction, Coefficients of friction, Angles of friction, Applications of friction in machines (Wedges, Screws, Belts, Disk friction). |
Technical Drawing - 1st Semester - Course Hours:4 - ECTS:5 | Outline |
---|
Engineering drawing equipment. |
Basic drawing knowledge, scales. |
Engineering drawing views |
Engineering drawing sectional views and special views |
Dimensions |
Engineering drawing of mechanical components |
Engineering drawing of bolts, threads and nuts |
Engineering drawing of spring elements and gears |
Tolerances and their representation on engineering drawings |
Design of spring elements |
Engineering drawing of mechanical assemblies |
Introduction to Computer Science - 1st Semester - Course Hours:5 - ECTS:5 | Outline |
---|
Introduction to Computer Architecture and Organisation |
Numerical Systems |
System and Applications Software, Computer Programming Languages |
Computer Program representation, Flowcharts |
Introduction to C/C++ programming language |
Input/Output |
Variables, Constants, Operators, Operands, expressions, basic mathematical functions |
Control statements |
Iteration loops |
Arrays |
Characters, Strings |
Laboratory Exercises and applications in C/C++ |
Calculus - 1st Semester - Course Hours:5 - ECTS:6 | Outline |
---|
• Foundation of the real number system. Field and order axioms, the least upper bound axiom and the Archimedean principle. |
• Monotone and bounded real-valued functions, continuation of a real-valued function, Bolzano theorem, and intermediate value theorem, extreme value theorem, uniform continuity. |
• Elements of set theory, the system of real numbers. |
• Function derivative, derivative calculus and higher order derivatives, Rolle, Mean Value, and L’Hospital theorems, local extrema. |
• The Riemann integral, integral properties (sum-difference rule, triangular inequality, linearity), differentiability and continuity, integral at points of discontinuity of the integrable function, integrability of continuous functions, mean value theorem, indefinite integral, fundamental theorem of integral calculus. |
• Integration techniques (variable change, integration by parts, etc.), logarithm and exponential function, generalized integrals, examples and applications. |
• Subsets of R, accumulation points, sequences of real numbers, monotonic sequences, subsequences and Cauchy’s convergence criterion, Bolzano-Weierstrass theorem, convergence theorems for sequences. |
• Series of real numbers, series with positive terms, convergence and absolute convergence tests of series. Taylor's theorem and Taylor series. |
English Terminology (Elective) - 1st Semester - Course Hours:3 - ECTS:0 | Outline |
---|
Familiarization of students with terminology through authentic texts and exercises with the following topics: |
- the profession of an industrial engineer |
- rotary electric motors, electric generators, transformers, transducers |
- CAD applications |
- CAM applications advantages and disadvantages |
- automatic control systems |
- robotics technology |
- sensors, actuators, end effect devices |
- principles, levels and functions of the administration |
- staff training and management philosophy |
- writing a CV and an application letter |
- preparation for a job interview |
Review of grammar and syntax (theory and exercises) |
- verb tenses |
- passive voice |
- auxiliary/elliptical verbs |
- conditional sentences |
Material Science - 2nd Semester - Course Hours:4 - ECTS:5 | Outline |
---|
Construction metal materials. Structure of metals and interference in relation to mechanical behavior. Chemical and physical methods of structural interference. |
Manufacturing and operational behavior. Special, industrial and light alloys. Applications and uses of metallic materials. Simple and complex materials necessary for the construction and operation of mechanical structures. Methods of preparation, formulation and processing of these materials. Structure, physical, chemical and mechanical properties of ceramic materials. Basic principles of dyeing mechanical structures and paint systems. Standardization of materials, standards. |
Study of metal structures and imperfections using metallurgical microscopy and ultrasounds. Measurements of properties of metals and alloys after thermal, mechanical and chemical treatments. Chemical tests of alloy composition and strength of metals in corrosion. Plastic molding. Measurement of the properties of non-metallic materials. Strength of non-metallic materials to conditions of application and to acids, bases and organic solvents. Quality control of mechanical parts of machines. Treatment of the metal surface before applying coating color. |
Programming for Engineers - 2nd Semester - Course Hours:4 - ECTS:5 | Outline |
---|
Functions: declaration, definition, and call |
Function Parameters: Call by value, Call by reference, Call by address |
Scope of variables |
Function Overload |
Pointers, Dynamic Memory allocation |
Multidimensional Arrays |
Alphanumeric as C-Strings (arrays) and as C++ objects |
Introduction to Data Files |
Structures |
Laboratory Exercises and applications in C/C++ |
Electrical Circuits - 2nd Semester - Course Hours:5 - ECTS:6 | Outline |
---|
1. Basic concepts and principles of Electrical Engineering, electric field, magnetic field, concentrated and distributed circuits, wavelength, radiation, field propagation velocity. Elements of circuit topology (branch, loop, node, potential, voltage, current, coupled reference directions, power flow, Kirchhoff’s laws. |
2. Tellegen’s theorem, separation groups. Two-terminal elements, linear and nonlinear elements, voltage sources, current sources, dependent and independent sources. Resistor, capacitor, inductor, open circuit, short circuit, switch. |
3. Passive and active elements. Transformer. Two-terminal circuits, port, poles, equivalence of circuits, in-line and parallel connections of R, L, C, source connectors. Simple model of real voltage and current source, equivalence of voltage and current sources, Norton and Thevenin equivalent circuits, [Millman theorem]. |
4. Introduction to signal theory, types of signals, Fourier analysis, mean and root mean square value, step function, Dirac function, sampling theorem. |
5. Circuits in the field of frequency, rotating vectors, operations with rotating vectors, transformation of R, L, C in frequency, circuit function, equivalent circuits, voltage and current divider, scalar circuits, RLC and GLC resonance. Resonance. |
6. Generalised circuit analysis methods. Simple loop method in the field of frequency. Impedance matrix, Cramer method. Node method in frequency. Complex conductivity matrix. Examples. Input and transfer conductivity. Input and transfer impedance. |
7. Output impedance and conductivity, voltage and current transfer functions. Connecting circuits in cascade. |
8. AC Power. Active, reactive, complex and apparent power. Units of measurement. Power as a sinusoidal function. Frequency of electrical power. Power triangle. Reactive power compensation. Compensation as a special case of resonating. Parallel compensation vs. series compensation. |
9. Maximum power transfer theorem. The case of the given consumer as opposed to the given amplifier. Matching. Why power lines are not adjusted. |
10. Three-phase circuits. Polar voltage, phase voltage, line currents, phase currents. Y-Y, Y-Δ, Δ-Y, Δ-Δ connections. Relationship between polar and phase magnitudes. Neutral current in a symmetric three-phase system. Grounded and non-grounded neutral. Neutral brake. Phase brake. Two-phase break. |
11. Power in three-phase systems. Power measurement with Aron connection. |
12. Transient phenomena in electrical circuits. Resistor, capacitor and inductor models in time. Differential equations. Unguided first-order circuits. Natural response. Stability. Time constant. Recovery time. Linearity. Examples. |
13. First Order circuits driven by DC or AC source. Zero Input Response. Zero State Response. Stability. Initial and final state method. Impulse response, step response. |
Dynamics - 2nd Semester - Course Hours:4 - ECTS:5 | Outline |
---|
- Kinematics of Particles: Position vector velocity and acceleration, Rectilinear motion, Curvilinear motion, Derivative of vector function, Rectangular components of velocity and acceleration, Normal and tangential coordinates, Polar coordinates, Relative motion. |
- Kinetics of Particles: Newton’s second law of motion, Equations of motion, Kinetic energy of a particle, Conservative Forces and potential energy, Principle of work and energy, Conservation of energy, Linear and angular momentum, Linear and angular impulse, Principle of impulse and momentum, Conservation of momentum. |
- Dynamics of Particle Systems: A Motion of the center mass of a system of particles, Principle of work and energy for a system of particles, principles, Principle of linear impulse and momentum for a system of particles, Conservation of energy and momentum, Impact, Relative motion. |
- Mass Moment and Product of Inertia: Mass Moment of inertia by integration, Mass products of inertia, Parallel-Axis theorems, Moment of inertia about an arbitrary axis, Inertia tensor Principal moment and principal axes of inertia. |
- Planar Kinematics of Rigid Bodies: Planar rigid-body motion, Translation, Rotation about a fixed axis, General plane motion, Absolute and relative plane motion analysis, Instantaneous center of rotation in plane motion, Motion relative to a rotating reference frame. |
- Planar Kinetics of Rigid Bodies: Equations of motion for a rigid body, Kinetic energy of a rigid body, Work-Energy principle and conservation of mechanical energy, Linear and angular momentum in plane motion, Principle of impulse and momentum for the plane motion of a rigid body, Conservation of angular momentum, Rigid body impact. |
- Rigid-Body Dynamics in Three Dimensions: Angular momentum and kinetic energy of a rigid body in three dimensions, Euler's equations of motion, Rotation about a fixed point, Fixed-axis rotation, General motion, Gyroscopic motion. |
- Mechanical Vibrations: Free vibrations of particles, Undamped and damped systems, Equation of motion, Natural frequency, Damping ratio, Forced vibration of particles, Resonance, Vibration of rigid bodies, Energy methods. |
Applied Thermodynamics - 2nd Semester - Course Hours:4 - ECTS:5 | Outline |
---|
Using thermodynamics, defining systems, describing systems and their behavior |
Evaluating thermodynamic properties, phase and pure substance, phase change, vapor-liquid-saturation tables, ideal gas model |
Energy and the first law of thermodynamics |
Energy balance for closed systems |
Energy analysis of thermodynamic cycles |
Control volume analysis using energy, conservation of mass, conservation of energy |
The second law of thermodynamics, irreversible and reversible processes |
Entropy balance for closed systems |
Entropy rate balance for control volumes |
Isentropic processes, isentropic efficiencies |
Exergy analysis, exergy of a system, introduction to thermoeconomics |
Vapor power systems, introduction to vapor power plants, the Rankine cycle |
Refrigeration and heat pump systems, vapor refrigeration systems, absorption refrigeration |
Philosophy of Technology - 2nd Semester - Course Hours:3 - ECTS:4 | Outline |
---|
Introduction to Philosophy, The Concept of Philosophy, Methods of Philosophy, Short History of Philosophy, Division of Philosophy, General Philosophy, Theology, Metaphysics, Logic, Philosophy, Special Philosophy, Special Philosophy of Science, Philosophy of Technology, Philosophy of Science, Philosophy of Techno-Science. |
Electrotechnical Materials - 2nd Semester - Course Hours:3 - ECTS:4 | Outline |
---|
1. Objectives, Significance and Interest |
2. Atomic forces and bonds |
3. Crystal Structures 1 (Basics) |
4. Crystal Structures 1 (Structure types) |
5. Metals |
5. Semiconductors |
6. Polymers |
7. Thermal properties of materials |
8. Dielectric properties of materials |
9. Thermoelectricity, Piezoelectricity, Ferroelectricity |
10. Magnetic properties of materials |
11. Artificial structures |
12. Application example: Materials in a Smartphones |
13. Summary |
History of Civilization and Technology - 2nd Semester - Course Hours:3 - ECTS:4 | Outline |
---|
1. Introduction, brief history of humanity. |
2. The forager man, Neanderthal |
3. Homo Sapiens – Neolithic revolution |
4. Myths and fantasy class |
5. Cognitive revolution |
6. Writing, organization, numbering |
7. Agricultural revolution |
8. Globalization, unification of humanity, empires |
9. Money, trade, religion |
10. Scientific progress, colonialism |
11. Capitalism, credit and development, wars, and slavery. |
12. Industrial Revolution, Energy, Raw Materials, Overproduction and Demand, Consumerism and New Ethics |
13. Post-industrial society, information society |
Multivariable Functions - 2nd Semester - Course Hours:3 - ECTS:4 | Outline |
---|
Multivariable functions, definition, limits, continuity. |
Vectors and Analytic geometry of space, equations of lines and planes. |
Partial derivatives and basic theorems. |
Total differential, gradient, implicit differentiation, tangent planes. |
The chain rule, coordinate systems. |
Taylor’s formula for multivariable functions. |
Curves in space and component functions |
Extreme values of multivariable functions. |
Double and triple integrals. |
Substitutions in multiple integrals, polar, cylindrical, spherical coordinates |
Applications in Engineering, in Physics. |
Numerical Analysis - 3rd Semester - Course Hours:5 - ECTS:6 | Outline |
---|
Introduction to Numerical Analysis, |
Numerical Calculations and Errors, |
Numerical Solution of Nonlinear Equations (Bisection Method, String Method, Newton Method) |
Numerical solution of systems of equations |
Numerical Solution of Systems of Linear Equations. Immediate Methods: Gaussian deletion, |
Gauss-Jordan, LU factorization. |
Repetitive Methods: Jacobi, Gauss-Seidel, sequential hyperelaxation. |
Numerical Solution of Systems of Nonlinear Equations, Newton-Raphson method |
Interpolation (Polynomial approach, Lagrange interpolation etc) |
Approach (Minimum Squares) |
Numerical Integration (Table Rule, Complex Table Rule, Simpson 1/3 & 3/8, Romberg Algorithm, |
Integration by Gauss) |
Numerical Solution of Ordinary Differential Equations (Euler Method. Improved Euler Method. |
Runge-Kutta Methods: 2nd, 3rd and 4th order,Finite difference method.) |
Systems of Ordinary Differential Equations. |
Laboratory Exercises and applications in MATLAB |
Electronic Systems - 3rd Semester - Course Hours:5 - ECTS:6 | Outline |
---|
Analogue Part: |
1. Introduction to Electronic Systems |
2. Basic concepts (circuits and systems) |
3. Diode |
4. Bipolar Junction Transistor |
5. Field Effect Transistor |
6. Basic Circuits: Switches and amplifiers |
7. DC and small signal models |
8. Operational amplifiers |
9. Digital Gates and CMOS |
10. Analog to Digital Converters and Digital to Analog Converters |
11. Oscillators |
12. Applications |
13. Summary |
Digital Part: |
1. The Binary System |
2. Logic Gates |
3. Boole Algebra |
4. Design Of Combinational Digital Systems |
5. Basic Combinational Circuits: Half Adder, Full Adder, Decoder, Coder, Rom, Code Translators, 8-Bit Equality Comparator. |
6. Design Errors |
7. Characteristics Of Digital Integrated Systems |
8. Basic Memory Units: The Flip-Flop |
9. Basic Sequential Circuits: Registers And Counters |
10. Simulation Of Combinational Circuits |
11. Assembly And Testing Of Digital Circuits |
Strength of Materials - 3rd Semester - Course Hours:4 - ECTS:5 | Outline |
---|
- Introduction to Stress and Strain Analysis: Equilibrium of deformation body, Normal stress, Shear stress, Allowable stress design and factor of safety, Design of simple connections, Deformation, Strain, Components of strain. |
- Mechanical Properties of Materials: Tensile and compression test, Normal stress-strain diagrams, Young's modulus, Yielding, Plastic deformation, Breaking strength, Hook's Law, Poisson's ratio, Shear stress-strain diagram, Shear modulus. |
- Geometrical Properties of Sections: Centre of gravity, Moment of inertia, Polar moment of inertia, Radius of gyration, Product of inertia, Principal moment and principal axes of inertia, Mohr's circle for moment of inertia. |
- Axial Load: Saint-Venant's principle, Elastic deformation of an axially loaded member, Thermal effects on axial deformation, Stresses in inclined Planes, Stress concentrations. |
- Bending of Beams: Symmetric members in pure bending, Unsymmetrical bending analysis, Stress concentration, Bending deflection, Elastic curve, Double integration method. |
- Shear Stress in Beams: Shear flow, Shear center, Shear Stress distribution, Shear stress in thin-walled cross-sections. |
- Torsion: Torsion of circular shafts, Angle of twist, Torsion of thin-walled cross-sections. |
- Transformation of Stress and Strain: Plane stress, Stress transformation for plane stress, Principal stresses and principal planes, Maximum shear stress and corresponding plane, Mohr's circle for plane stress, Plane strain, Transformation of strains in a plane. Mohr's circle for plane strain. |
- Statically Indeterminate Structures: Displacement method, Energy Methods, Catigliano's theorem, Superposition method. |
- Combined Loadings: Failure theories, Equivalent stress. |
- Buckling: Buckling of columns, Critical load, Euler's formula. |
Probability Theory And Statistics - 3rd Semester - Course Hours:5 - ECTS:5 | Outline |
---|
Probability Theory as a framework for describing and analyzing uncertainty. An overview of Set Theory. Basic Probability Models and Axioms. |
Independent events. Basic Listing Principle. Combinatorial Principles, Discrete Probability Calculation Applications. |
Conditional Probability, Total Probability Theorem, Multiplication Rule, Bayes Theorem. Statistical Independence. |
Random Variables: Definition of discrete and continuous random variables, Cumulative Distribution Function, Probability Mass Function, Probability Density Function. |
Discrete Random Variables: Moments, Basic Distributions. |
Continuous random variables: Moments, Basic Distributions. |
Normal Random Variables: Properties, Standard Normal Distribution. |
Multiple Random Variables: Joint and Marginal Distributions, Statistical Independence, Derived Distributions: Sum of Independent Random Variables. Joint Moments. |
Boundary Theorems: Markov and Chebyshev Inequalities, Laws of Large Numbers, Central Limit Theorem. |
Descriptive Statistics: Frequency Tables, Barcharts, Histograms, Stemplots, Dot Diagrams, Location Measures, Variability Measures. |
Statistical Inference, Parameter Estimation, Point Estimation (Moments Method, Maximum Likelihood Estimation), Confidence Intervals. Linear Regression. |
Manufacturing Technology - 3rd Semester - Course Hours:3 - ECTS:4 | Outline |
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No Content Description |
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Industrial Safety And Health - 3rd Semester - Course Hours:3 - ECTS:4 | Outline |
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Introduction to Industrial Management and Safety |
Occupational accident |
Personal Protective Equipment |
Hazardous Materials |
Fire Protection |
Radioactivity |
Electromagnetic Radiation |
Noise |
Lighting |
Ergonomics |
Estimate occupational risks |
Information Society and the Industrial Revolution - 3rd Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Introduction, goals, brief history of humanity. Social development and technology. Industrial Revolution. 1st era of machines- Muscular strength. 2nd age of machines-mental power. |
2. From the 1st to the 4th industrial revolution, stages, and stations. The information society. |
3. What is the effect of the industrial revolution on humanity? How much better is our world and why? |
4. Clarification of terms: Fordism, neo-Fordism, modernity, postmodernity. |
5. Examples of technological advances. The capabilities of machines threaten the human field of action. |
6. Moore's law, the power of exponential improvement in the digital world. Big Data. |
7. Digitization and its effects on the economy. The "free" business model. The limits of innovation. Artificial and human intelligence. Examples of fields of conflict and superiority. |
8. Computer abundance. Productivity, labor, GDP from a new digital perspective! Digital assets. Copyright. |
9. Digital gap. New inequalities in the information society. Skills, work-capital, and wages. The future of work. Effects of abundance and inequality. Technological unemployment. Globalization. |
10. Network Effects. The market of the type "the winner gets it all". Normal distribution and Power Low distribution. |
11. Acting together with the machines. What do computers not know how to do? Educating people. Changes in education. |
12. Concerns about the political adaptations of societies. Education, Investment incentives, research, financing, infrastructure, taxation. |
13. Suggestions-discussion for the future. Negative income tax. Peer economy and artificial intelligence. Risks and natural limits. |
Special Topics on Physics - 3rd Semester - Course Hours:3 - ECTS:4 | Outline |
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Fluid Mechanics, Pascal Principle, Archimedes Principle |
Flow laws, Real fluids, Viscosity |
Exercises in Fluid Mechanics |
Heat, temperature. |
Thermometers, the ideal gas temperature scale. |
Reversible and irreversible process. |
Ideal gasses, equation of state, thermal motion of molecules, the Maxwell distribution. |
The Van der Waals gas. |
The first law of thermodynamics, work, heat, heat capacity calorimetry. |
Processes of an ideal gas. |
Second law of thermodynamics. Heat engines, Carnot cycle. |
Entropy. |
Electric charge, Coulomb’s law. |
Electric field, Gauss’s theorem. |
Electric potential |
Planck's theory of blackbody radiation. Energy quantization. Photons. Photoelectric effect. Compton effect. Pair production. |
X-rays production and diffraction. |
Bragg scattering. Moseley’s law. Auger electrons. Absorption coefficient. |
The solid state structure. Experimental methods for the study of crystalline structure using X-rays. |
Molecular bonds. Molecular spectra. |
Machine Elements I - 4th Semester - Course Hours:5 - ECTS:6 | Outline |
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1. Introduction |
2. Basics of strength of materials |
3. Fatigue lifetime calculation |
4. Axles and shafts |
5. Calculation of resistance to static and dynamic loads |
6. Calculation of initial dimensions and maximum operating speed |
7. Processing of materials |
8. Tolerances and joints |
9. Surface roughness |
10. Standardization and screw calculations |
11. Rolling bearing calculation |
12. Welding calculation |
13. Modern computational methods |
Transform Theory And Systems - 4th Semester - Course Hours:3 - ECTS:4 | Outline |
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Signals and Systems: definitions, classification, types of representation. The complex Fourier Series and the Fourier Transform. The Discrete Time and the Discrete Fourier Transform. Basic system properties: linearity, time invariance, causality, stability. Impulse and step response of a system, convolution. Difference equations and differential equations. Analysis of signals and systems in frequency domain. Spectral representation: magnitude and phase diagrams. Frequency response. Frequency selection filters. Laplace Transform and z-Transform. Transfer function. Pole-zero diagrams. Connecting LTI systems: parallel, cascade and feedback connection. The Nyquist–Shannon sampling theorem. Pulse Width Modulation. Design and implementation of discrete time systems with block diagrams. Parameter accuracy. Applications and examples. |
Metrology - Quality Control - 4th Semester - Course Hours:4 - ECTS:5 | Outline |
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Introduction to Metrology, Static - Dynamic characteristics of measuring instruments |
• Classical error theory, |
• Measurement uncertainty, Type A, B uncertainty, |
• Uncertainties in analog-digital instruments, Uncertainty of direct-indirect measurement |
• Classification-types of measuring instruments, Analog - Digital instruments, |
• Transducer sensors, Measurement of motion, level, volume, weight, temperature, flow pressure, |
• Passive, active interconnection circuits. |
• Introduction to quality and quality control |
• Control charts - terminology |
• Variable control charts |
• Attributes control charts |
• The sampling technique - acceptance sampling |
• Quality assurance standards - quality control tools. |
Laboratory Exercises: Oscilloscope, Potentiometer, Measurement Errors, Operational Amplifiers, Non-inverting, Follower, Inverting, Summing, Differential amplifier, Input Bias Current, slew rate, Non-inverting voltage conversion to current, Differential voltage converter to current, Differentiator, Integrator, Measuring sensors |
Fluid Mechanics - 4th Semester - Course Hours:5 - ECTS:6 | Outline |
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No content description |
Production Systems - 4th Semester - Course Hours:4 - ECTS:5 | Outline |
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Operations management and productivity |
Quality and statistical process control |
Forecasting demand methods |
Design goods and services |
Process strategies and capacity planning |
Location strategies and layout strategies |
Human resources strategy |
Supply-chain management |
Inventory management |
Aggregate scheduling |
Material requirements planning management |
Principles of project management |
Maintenance and reliability |
Micro-Electro-Mechanical Systems (MEMS) - 4th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Introduction to MEMS |
2. Importance and capabilities |
3. Scaling |
4. MEMS materials |
5. Micromachining techniques |
6. Lithography |
7. Process flows |
8. MEMS Electronics |
9. MEMS Mechanics |
10. MEMS Application 1 (Micro-Energy) |
11. MEMS Application 2 (Micro-Robots) |
12. MEMS Foundries |
13. Summary |
Object Oriented Programming - 4th Semester - Course Hours:3 - ECTS:4 | Outline |
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Introduction to object-oriented programming |
Constructors and Destructors |
Function and Operator Overload |
Inheritance |
Recursive Functions |
Algorithms |
Exception Handling |
Linked lists |
Laboratory Exercises and applications in C/C++ |
Advanced Digital Systems - 4th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Latch, Flip/Flop |
2. Shift registers |
3. Asynchronous and synchronous counters |
4. Moore and Mealy circuits |
5. Mealy circuits synthesis: state assignment and coding |
6. State elimination of redundant states |
7. Asynchronous circuits analysis |
8. Asynchronous circuits synthesis |
9. Races and hazards |
10. Simulation of combinational circuits |
11. Assembly and testing of digital circuits |
12. Digital circuits optimization |
Reliability Management in the Internet of Things - 4th Semester - Course Hours:3 - ECTS:4 | Outline |
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Research, analysis and synthesis of data and information |
Using corresponding technologies |
Setting objectives |
Project design |
Setting priorities |
Decision making |
Monitoring results |
Autonomous work |
Developing new research ideas |
Adherence to good practice guidelines |
Reliability And Maintenance - 4th Semester - Course Hours:3 - ECTS:4 | Outline |
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Issue analysis and data visualization techniques, Summary statistics and probability distribution theory |
Statistical Hypothesis testing – Student’s t-test |
Simple and multiple linear regression |
Component reliability and Weibull analysis |
System reliability |
Condition Monitoring and Physical Degradation Models |
Maintenance Theory |
Technical Process Identification, Characterization and Modeling |
Metal Forming Processes - 5th Semester - Course Hours:4 - ECTS:5 | Outline |
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Classification and application of metal forming processes. |
Effects of plastic deformation on the crystal lattice of metallic materials, shifting of lattice defects, hardening and aging of metals, stress - strain curves. |
Annealing, recrystallization, cold and hot plastic deformation. |
Friction and lubrication in forming processes, surface protection, types of lubricants and their application. |
Elements of the theory of plasticity: yield criteria, fracture, stress – strain relation, continuity equation, plastic flow rule, equivalent stress and equivalent strain, calculation of force and work. |
Forming processes: Forging, extrusion, rolling, cutting, bending, deep drawing. |
Cutting and shaping tools. |
Design and operation of metal forming machines: shearing machines, sheet bending machines, tube bending machines, punches, screw presses, eccentric presses, hydraulic presses. |
Control Systems I - 5th Semester - Course Hours:4 - ECTS:5 | Outline |
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Laplace transform, inverse Laplace transform, method of residuals. |
Basic concepts of open and closed loop automatic control systems, advantages of the use of feedback, real-world examples. |
Mathematical representation of systems in the time domain, mathematical models, models of physical systems. |
Block diagrams, transfer functions, time response characteristics. |
Characteristics of closed loop systems, steady state errors. |
Mathematical representation of systems in the frequency domain (frequency response, Bode diagrams, Nyquist diagrams, Nichols chart). |
Introduction to the concept of stability, Routh-Hurwitz and Nyquist stability criteria, root locus. |
Exercises and applications in MATLAB |
Electric Motors and Drives I - 5th Semester - Course Hours:6 - ECTS:7 | Outline |
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1. Basic principles from rotating systems mechanics: angular speed, mechanical power of a rotating shaft, moment of inertia, Newton’s law for rotation, energy, mechanical work, power, principle of energy/power conservation. Introduction: basic families of motor drives converters and indicative applications, basic mathematical principles (DC and rms values of voltage and current waveforms). |
2. Basic principles from electromagnetic fields theory (electrotechnology). Magnetic flux production. Permanent magnets, electromagnets, ferromagnetic materials, magnetization (hysteresis) curve. DC and AC electrical circuits, using switches: state-space analysis and equations, plotting of current waveforms, basic calculations and examples. |
3. Faraday’s induction law, Laplace force on a current carrying conductor, electromotive (emf) force on a conductor that moves inside a magnetic field. Magnetic flux density and intensity.. Measurement units Wb, T, A/m. Basic power electronics switches in motor drives converters: diode, thyristor, power transistor, IGBT, MOSFET, GTO, characteristics and applications examples. |
4. Transformers. Power diodes: use, selection, basic circuits with power diodes (single and three phase), ripple calculations, capacitor charging/discharging issues, examples. Diode converters specifications. |
5. The simplest electrical machine: two conductors inside a constant magnetic field. Voltage production, torque production. Brushes. The general case for more conductors. Equations E=kωφ anf T=kIφ. Structure of a DC machine. Thyristors: use, selection, basic circuits with controlled AC/DC motor drive converters (single or three phase) using thyristors, ripple calculations, examples. Thyristor converters specifications. |
6. Armature reaction, distortion of magnetic field, reduction of magnetic flux under load conditions, solutions applied. Winding types, lap and wave windings. Construction details: axis (shaft), bearings, fan, commutator, brush holders, cooling fins, technological materials. The principle of “power quality”: harmonics in power networks, origin, presence in dc and ac systems, effects, harmonic standards requirements, THD. |
7. Type of DC motors excitations: permanent magnets (PM), separately-parallel-in series-compound excited machines. Speed/torque characteristic for each type of excitation. Typical applications of each type of the machines. Introduction to single phase inverters with power transistors: basic operational principles, principles of modulation, PWM, applications and examples. |
8. Speed control in a DC motor. Variable speed drives (DC drives): principle of operation and industrial applications. PWM operating principles, basic control parameters, implementation of sinusoidal PWM and applications in DC/AC converters. PWM harmonics. Examples and design. |
9. AC machines classification map. Terminology. The permanent magnet synchronous machine as a reversed DC machine. Rotating magnetic field. Brushless commutation in the stator. Similarities and differences with the DC machine. Three phase inverters with power transistors: basic operating principles, 6 pulse and PWM operation. Applications in motor drive systems. Introduction to basic motor control principles. |
10. Introduction to the permanent magnet synchronous motor: PMAC, PMSM and BLDC machines. Drives requirements for operating synchronous motors. Starting torque and acceleration procedure. Description of a basic servo drive. Speed control. AC motor drives operating principles – control methods. |
11. Short introduction to separately excited synchronous machines as generators. Special machines for servomotor systems: step motor, synchro machine etc. Short introduction to induction motors. Capability of producing a magnetic field from the rotor without PM or electromagnets. DC/DC step down (buck) converter: operating principle, design, application, voltage control |
12. The rotating transformer. Types of rotor winding in an induction motor: squirrel cage and wound rotor machines. Slip. The nameplate of an induction motor. Star (Y) and Delta (D) connection. Terminal box. DC/DC step up (boost) converter: operating principle, design, application, voltage control. |
13. The equivalent circuit of an induction motor. Parameters that influence the magnetizing current. Speed control with VFD. Speed/torque characteristic for a squirrel cage and wound rotor machine. Wound rotor machine application in contrast to the squirrel case. Power losses in an induction motor. Examples, exercises. Operating principles of DC motor drives – control methods. |
Databases and Data Structures - 5th Semester - Course Hours:4 - ECTS:5 | Outline |
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Theory: |
1. Introduction to Database Systems |
2. Introduction to Data Structures |
3. Relational Database – Data Modelling |
4. Database Entities and Data Structures |
5. Database Constraints |
6. Database Design Diagram |
7. Introduction to SQL (Structured Query Language) a standardized programming language |
8. Complex SQL queries |
9. Database indexes, Database Views, Query optimization, |
10. Non-relational Databases (NoSQL databases) |
11. Big Data management |
12. Information retrieval and Data Mining |
13. Databases Management Systems – Database Security |
Lab: |
1. Introduction to database management tools and technologies |
2. Access database management system |
3. Hands-on for building a relational database |
4. Data entry in database systems |
5. Creating simple and complex queries |
6. Manipulating data using sql queries |
Non-destructive Testing - 5th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Introduction to non-destructive testing (NDT) |
2. Visual and optical testing |
3. Liquid penetrant testing |
4. Magnetic particle testing |
5. Electromagnetic – Eddy current testing |
6. Radiographic testing |
7. Radiation protection |
8. Ultrasonic testing |
9. Thermal / infrared testing |
10. Acoustic emissions |
11. X-ray florescence analysis, XRF testing |
12. Educational visit to a relevant company |
Presentation of student projects - discussions |
Embedded Systems - 5th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Embedded systems architecture |
2. Elements of programming languages: Assembly, C++, Python, Rust |
3. Arduino |
4. General purpose I/O |
5. Interrupts |
6. Pin Change Interrupts, Keyboard interface |
7. Asynchronous serial communication |
8. 8 bits timers |
9. 16 bit timers |
10. Measures of time and frequency with timers |
11. PWM (Pulse Width Modulation) |
12. ADC (Analog to Digital Converter) |
13. LCD interface |
14. SPI (Serial Peripheral Interface) |
15. TWI (Two Wire Interface - I2C) |
16. Libraries |
17. (IoT) Internet of Things |
Decision Support Systems - 5th Semester - Course Hours:3 - ECTS:4 | Outline |
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Decision Making and Computerized Support |
Management Support Systems |
Characteristics and Capabilities of DSS; |
Components of DSS; |
The Data Management Subsystem; |
The Model Management Subsystem; |
The User Interface (Dialog) Subsystem; |
The Knowledge-Based Management Subsystem; |
DSS Hardware; DSS Classifications |
DSS Modeling; Static and Dynamic Models; |
Certainty, Uncertainty, and Risk; Influence Diagrams; |
DSS Modeling with Spreadsheets; Decision Analysis of a Few Alternatives (Decision Tables and Decision Trees); |
Mathematical Programming Optimization. |
Business Intelligence: Data Warehousing, Data Acquisition, |
Data Mining, Business Analytics, and Visualization |
Introduction to DSS Development; The Traditional System Development Life Cycle; Alternative Development Methodologies; Prototyping: |
Knowledge Management |
Artificial Intelligence and Expert Systems: |
Knowledge Acquisition, Representation, and Reasoning |
Generalised Systems Theory - 5th Semester - Course Hours:3 - ECTS:4 | Outline |
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Introduction: Definitions & Concepts, System Principles & Concepts (Reductionist vs Holistic), Key Terminology |
A View from the Past to Present: General Systems Theory, System Science, Systems Approaches, Cybernetics |
Dealing with Complexity: Hierarchy, Evolution, Description, Emergence, Adaptive Complex Systems |
Process & Methods I: Hard, Soft, Evolutionary, and Complex Adaptive Systems |
Process & Methods II: Systems Engineering & System Concept & Design |
Case Study: Describing and Understanding the Problem, Translating system objectives and the future solution description into a problem statement. |
Creative / Brainstorming Tools: Lateral Thinking, Systems Thinking Diagrams (ex. Mind Maps) |
Problem – Solving Tools: Decision Analysis, Casual Analysis, |
Systems Thinking Tools (Feedback, Causal Loops, N2 charts, etc.), |
Software Tools (ex. Stella, IThink, Vensum¸ Systemigram, etc. ) |
Systems Implementation: Spiral vs incremental implementation, Timely system implementation |
Planning system design and technical implementation: Prioritize system capability phasing, Technology Road-mapping |
Applications I: Socio-Technical System |
Applications II: Value Chain / Lean |
Application III: Global Warming |
Aerodynamics - 5th Semester - Course Hours:3 - ECTS:4 | Outline |
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No Content Description |
Machine Elements Ii - 5th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Introduction |
2. Typical sizes of gear wheels |
3. Types of gear wheels |
4. Involute gear tooth geometry |
5. Tooth undercuts |
6. Marginal number of teeth |
7. Tooth damage - lubrication |
8. Spur and helical gears |
9. Conical and worm - wheel gear drives |
10. Forces acting on gear wheels |
11. Fracture toughness and tooth wear analysis and calculation |
12. Belt drives |
13. Chain drives |
Hydraulic and Pneumatic Systems - 5th Semester - Course Hours:3 - ECTS:4 | Outline |
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Basic Concepts and Principles, Hydraulic and Pneumatic Components, Pumps, Motors, Pistons, Tanks, Filters, Accumulators, Directional Valves, Push button Valves, 2, 3, 4, and 5 Port (Way) Valves, 2 and 3 Position Valves, Pressure Valves, Flow Valves, Choke Valves, Check Valves, Roller Valves, Analog Valves, Hydraulic and Pneumatic Circuits for Automation. |
Engineering Software - 5th Semester - Course Hours:3 - ECTS:4 | Outline |
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Introduction to Matlab and Simulink |
2. Signal creation |
3. Even and odd signals |
4. Signal power calculation |
5. Fourier Series signal analysis |
6. Frequency response of Transfer Functions |
7. Generating Time Functions - Solving Differential Equations |
8. Transfer Function simulation |
9. First order analogue system simulation |
10. Second order analogue system simulation |
11. Block Diagrams |
12. Digital Control Systems |
13. Sampling |
14. Digital signal creation |
15. First order digital system simulation |
16. Second order digital system simulation |
17. Control of Analogue Systems |
18. Control of Digital Systems |
19. Simulation of non-Linear Control Systems |
Computational Fluid Mechanics - 5th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Introduction to Computational Fluid Mechanics and its use as an optimization tool for mechanical structures. |
• Presentation of the differential mass and energy transfer equations describing a flow field. Mathematical description of convection and diffusion. The concept of turbulence, the modeling of turbulence, turbulence intensity, turbulence scale length, Reynolds and turbulence models. |
• Presentation and use of turbulence models used in the vehicle industry with appropriate commercial Computational Fluid Dynamics software. |
• Define the structured and unstructured computational discretization (mesh). Quality and development of discretization for solving fluid mechanics fields. |
• Designing a computational model to solve it with tools of computational fluid mechanics. Improve the quality of mesh calculations. Aspect ratio, inflation and skewness. |
• Method of finite differences, finite element method and finite volume method. |
• Initial conditions, boundary conditions and convergence criteria. Discretization shapes and under-relaxation factors. |
• Resolving non-steady streaming fields. Display of the flow field, velocity vectors and streamlines, pressure and temperature contours. |
• Presentation of modern advanced methodologies of computational fluid mechanics. Programming on a parallel environment for high performance computing. The MPI parallel programming protocol. |
• Applications in streams around structures to improve aerodynamic behavior, as well as in streams within pipelines. |
• The theoretical knowledge of the course will be applied utilizing an appropriate commercial software and computational coursework will be assigned during the semester for application to mechanical structures. |
Ship Security Systems Management - 5th Semester - Course Hours:3 - ECTS:4 | Outline |
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No Content Description |
Heat Transfer - 6th Semester - Course Hours:4 - ECTS:5 | Outline |
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Introduction and basic concepts |
Heat conduction equation |
Steady heat conduction |
Heat transfer from finned surfaces |
Transient heat conduction |
Fundamentals of convection |
External forced convection |
Internal forced convection |
Natural convection over surfaces, inside enclosures and over finned surfaces |
Boiling and condensation |
Heat exchangers |
Fundamentals of thermal radiation |
Radiation heat transfer, infrared thermography applications |
Methods of Engineering Design Synthesis and Cad-cam-cae - 6th Semester - Course Hours:5 - ECTS:6 | Outline |
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Engineering Design theory, Functional Design theory, Dynamic systems modelling theory with bond-graphs, Proportionality and dualism theory, Followers-Amplifiers, Connection of stages, Impedance matching, Basic manufacturing principles of material forming, Approaches to shape-representation and Graphics, CAD, CAM, and CAE Systems, Production Planning, FMS, CIM, Elements of Applied Numerical Analysis for Computer Simulation of Engineering Systems, Introduction to Linkages and Mechanism Design, Synthesis of Mechanical Systems, Electromechanical Systems, Electronic Systems, Hydraulic and Pneumatic Systems, Synthesis of Complex Systems. |
Programmable Controllers and Supervisory Systems - 6th Semester - Course Hours:5 - ECTS:6 | Outline |
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Introduction to PLCs - Software and Hardware configuration |
• PLC programming |
• Development of structured programs |
• Timers, Comparators and Counters |
• Subroutines and PLC |
• Networking |
• Advanced Logic Controller (PLC) Issues |
• Structured programming - internship - project creation, P.I.D. controller, Control Functions, Datablock data storage, Troubleshooting, Organization block. |
• COMMUNICATION PROTOCOLS PLC - INDUSTRIAL NETWORKS |
• Industrial communication networks (ASI, Profibus, Industrial Ethernet, Profinet), Use of profibus communication and data programming through it., PLC networking |
• OPERATION AND SUPERVISORY SYSTEMS (SCADA) |
• Real-time systems, definition, communication (access, master-slave relationship), determination of scan time and sampling |
• Control system components, sensors, actuators, local and remote controllers, algorithms, control, monitoring, recording, management, RTU / MTU communication methods |
• Communication with open architecture (OPC) standards, Structure, interface levels, OPC data recovery guides, data sharing |
• Operation Interface Design (HMI), for different scale systems, emergency management, alarms, status screens, control, graphics, reports, parallel use |
• Interface with process data archiving systems and information systems. |
Operational Research - 6th Semester - Course Hours:4 - ECTS:5 | Outline |
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• Introduction to Operational Research (the nature of OR – Mathematical models and algorithms) |
• Linear Programming (mathematical model, problems formulation, the Simplex method, graphical solution, sensitivity analysis) |
• Transportation and Transshipment Problems (mathematical model, initial feasible solution, optimal solution algorithm, special cases, solution of given problems and case studies) |
• Stock Control (interpretation, costs analysis, main variables and terminology, main stock control systems, systems graphical representation, calculation of main variables) |
• Production Systems Planning (assignment problems – task scheduling in one, two or three media – production line balancing) |
Control Systems II - 6th Semester - Course Hours:3 - ECTS:4 | Outline |
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Multivariable systems, state-space equations, mathematical representation in state space of various physical systems and examples. General solution of state equations, eigenvalues and eigenvectors, stability in the state space, transfer functions/tables derivation, transformations between different forms. Similarity transformations, canonical forms of state equations and corresponding block diagrams, state space trajectories. Controllability and observability, introduction to observers. Exercises and applications in MATLAB. |
Industrial Information Systems - 6th Semester - Course Hours:3 - ECTS:4 | Outline |
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14. Introduction to industrial processes, industrial informatics and Industrial Information System |
15. Centralized, Distributed and Real-Time Industrial Systems |
16. Automation Pyramid From sensors to Enterprise Resource Planning Systems (CIM/PLC/SCADA/ERP) |
17. Industrial Informatics and Python |
18. Architecture of Industrial Information Systems (2 and 3 layer architecture) - OPC Server architecture |
19. Business Process Management tools |
20. Introduction to Node Red programming |
21. Advanced topics in Node Red |
22. Industry 4.0 – IoT and Multi Agent Systems |
23. ERP Systems |
24. Maintenance Software Tools and Algorithms |
25. Middleware Software Tools – Service Oriented Computing – Web Services |
26. Simulation Tools |
Electric Machines and Electric Motor Drives II - 6th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Introduction to synchronous machines: operating principles, construction, applications |
2. Synchronous generators: equivalent circuit, torque and power calculations |
3. Voltage and frequency control of synchronous generators, parallel operation |
4. Transient conditions in synchronous generators |
5. Synchronous motor and its driving: equivalent circuit and steady state operation |
6. Start-up of synchronous motors, applications in reactive power compensation |
7. Single phase motors: creation of a magnetic field and start-up |
8. Single phase motors: equivalent circuit, speed control |
9. Other type of motors and drive systems: switched reluctance motors |
10. Other type of motors and drive systems: step motors |
11. Permanent magnet machines (PMSM, brushless DC) and drive systems: construction and operation |
12. Permanent magnet machines: equivalent circuits and applications |
13. Drive systems for permanent magnet motors. |
Tribology - 6th Semester - Course Hours:3 - ECTS:4 | Outline |
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Structure and decisive parameters of tribological systems. |
Composition and geometrical characteristics of the technical surfaces. |
Mechanical, chemical and thermal processes during sliding of contacting solid surfaces. |
Types, mechanisms, parameters and laws of solid friction. |
Frictional behaviour of the main technical materials (metals and alloys, ceramics, polymers, solid lubricants). |
Transition phenomena in friction contacts. |
Sliding and rolling friction, free rolling and traction rolling. |
Types, mechanisms, parameters and laws of wear. |
Behaviour of the main technical materials under wear conditions. |
Hydrostatic, hydrodynamic, elastohydrodynamic, aerostatic and aerodynamic lubrication, marginal and partial lubrication. |
The Reynolds equation. |
Journal and roller bearings. |
Solid lubrication. |
Classification, properties and application of lubricants. |
Automotive Electrics - 6th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Automotive electronic drawing elements: Symbols, elements, grounding, connections, automotive drawings study. |
• Automotive Electrical Systems: Historical background, presentation of different electrical systems in vehicle types. |
• Lighting systems. Purpose, categories. Incandescent, iodine, vacuum lamps. Conductors, cross section calculation, voltage drop calculation, fuses. Lighting circuit analysis: Course, intersection, parking, direction, braking (stop), reversing, etc., trailers. Control instruments. Light regulator. Legislation. |
• Electricity generation and storage systems: Inputs, role of the system in the vehicle, circuits |
• Batteries: battery connections, construction and specifications, size calculations, properties, faults. Rated voltage, operating voltage, open circuit voltage, starting current, battery capacity, charging status, charging / discharging mode. |
• Automotive generators: DC generators (dynamos). AC generators (Alternators). Constructional and functional characteristics. Rectifier. Voltage regulators (electromagnetic regulator, electronic voltage regulator). Related circuits. |
• Starting system: Automotive starters, operation, categories, construction characteristics, starting current calculations. |
• Ignition systems: Categories, ignition coils, distribution angle, operation angle, Dwell angle. Conventional ignition. Inductive electronic ignition. Electronic capacitive ignition. Piezoelectric electronic ignition. Distributorless Ignition System (DIS), Integrated Electronic Ignition. Ignition switch sensors: pulse generators, inductive, Hall effect, photoelectric. |
Laboratory experiments: |
• Static automotive generator diagnosis (dynamo, alternator). Alternator dynamic behavior. |
• Starter. |
• Conventional ignition. Electronic ignition. Hall sensor electronic ignition. Voltage and current waveform analysis, distribution, operation and Dwell angle calculation, troubleshooting. |
Industrial Data Networks - 6th Semester - Course Hours:3 - ECTS:4 | Outline |
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· Introduction to Industrial Data Networks. |
· Transmission Elements (Codes, Synchronization, Speed, Troubleshooting), Local Area Networks (Media, Topologies, Access Techniques) |
· Interconnecting Local Area Networks (Repeaters, Bridges, Switches, Routers) |
· Model TCP / IP Protocol (OSI) , Networks), Internet (Routers, NAT Protocol) |
· Hierarchical Levels of Industrial Communication Networks (Field Level, Control Level, Information Level). |
· Transmission Methods (Baseband, Broadband, Carrierband). , Control Level, Information Level). |
· Topologies and Structure of Industrial Networks (Point to Point, Bus, Star, Ring, Tree, Grid and Repeaters, Transceivers, Bridges, Switches, Routers). · Networking Devices (Repeaters, Transceivers, Bridges, Switches, Routers) |
· Networking Technologies and Protocols (CANopen, Modbus Ethernet TCP / IP, Asi, Industrial Ethernet, Profibus, Interbus, DeviceNet etc., Frames and OSI Model-Comparison) |
· Main Methods of Accessing Medium Metad (Master-Slave, Token Ring, Random Access), Medium Access Control Methods (CSMA / CD, CSMA / CA) · Application Level Protocols (HTTP, FTP, DNS, SNMP, BOOTP, TELNET, MODBUS, UNITE, I / O Scanning). |
Laboratory exercises: |
· Network Settings, Execution of diagnostic commands (Network Diagnostic Commands ) |
· Routing, Net Paths, Routing Tables (Network Diagnostic Commands ) |
· Structure of OSI Standard and Multi-Level Protocols (Wireshark). |
· Structure of TCP/IP (Ipv4/IPv6) (Wireshark). |
· Frame structure and protocol headers (ARP, IP, TCP, UDP, DNS, SMTP, FTP, HTTP etc.) |
· Packet analysis (Wireshark). |
· Communication through packet exchange (Wireshark). |
Welding Technology - 6th Semester - Course Hours:3 - ECTS:4 | Outline |
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No Content Description |
Signals, Information And Communication - 6th Semester - Course Hours:3 - ECTS:4 | Outline |
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Basic concepts: definitions and brief review of Fourier transform theory. Sampling in time. Representation of digital signals in both time and frequency domains. Signal bandwidth. Modulation techniques. Communication system design: constraints, legislation and market. Introduction to information theory. Entropy. Basic principles of data transmission. Channel capacity and noise. Natural channel modeling: sources and examples of channel degradation. Data transmission. Digital modulation ASK, FSK, PSK. Source encoding. Sampling Theorem. Quantization Noise. Compression and error protection techniques. Channel encoding and block encoding. Multiple access with frequency/time/code division. Communication networks and signalling protocols. Applications and examples. |
Artificial Neural Networks and Applications - 6th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Basic concepts |
• Artificial Neural Networks |
• Perceptron and ADALINE networks |
• The Multi-Layer Perceptron Network and the Back-Propagation Rule |
• Self-Organized Map Networks (SOM) |
• Radial Base Function Networks (RBF) |
• Hebian learning models |
• Implementing Neural Networks in Matlab and other Software |
• Learning and Generalization |
• Deep Learning |
• Applications of Artificial Neural Networks |
Information Systems - 7th Semester - Course Hours:3 - ECTS:4 | Outline |
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Theory: |
1. Introduction to Information Systems for modern digital supply chains |
2. Management Information Systems and Warehouse Management Information Systems -Enterprise Resource Planning Systems |
3. Technological tools for developing Information Systems |
4. Architecture of Information Systems (2 and 3 layer architecture) |
5. Databases - Data and Information (data sovereignity and GPDR) |
6. Interoperability and Information Systems |
7. Methodologies for software development - Project Management |
8. Unified Modelling Language theory and tools |
9. Business Process Management theory and tools |
10. Assessment of Information Systems |
11. Implementing Information Systems in Enterprises |
12. Social Information Systems |
13. Design principles for Information Systems |
Lab: |
1. Introduction to web based tools and technologies |
2. Web servers (apache/IIS) |
3. Server side and Client side web based programming tools (HTML, CSS, PHP/ASP, Javascript) |
4. Databases and Information Systems |
5. Project for developing basic information systems |
Principles of Economy Theory - Micro/macro Economics - 7th Semester - Course Hours:4 - ECTS:5 | Outline |
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1. Analysis of key economic terms. |
2. Analysis of supply and demand of goods. |
3. Analysis of consumer and producer behaviour. |
4. Analysis of the system of preferences, balance of the consumer. |
5. Analysis of the effects of income change, prices on demand and types of elasticity. |
4. Analysis of market forms and competition (Perfect and Non Competition) and market equilibrium short-term and long-term. |
5. Analysis of the macroeconomic cycle and circuit of an economy. |
6. Analysis of key macroeconomic variables. |
7. Analysis of macroeconomic measures such as GDP, unemployment, inflation, government budget, public debt, deficits, etc.) |
8. Analysis of complex aggregate demand and aggregate supply. |
9. Balance product and national income analysis. |
10. Function analysis of the multiplier as well as its impact on fiscal policy. |
11. Presentation of the financial sphere of the economy and the balance of the money and securities market. |
12. Analysis of general equilibrium and economic fluctuations. |
13. Macroeconomic equilibrium analysis through growth theory. |
14. Analysis from the beginning of factors that allow capital accumulation and how the economy is evolving in the long run. |
15. Analysis of the definition of income and employment, the role of investment and the impact of international trade |
Thermal Engines - 7th Semester - Course Hours:4 - ECTS:5 | Outline |
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Introduction: Basic principle, definition of a turbomachine, coordinate system, relative velocities |
Velocity diagrams for an axial flow compressor stage, the fundamental laws |
Compressible flow analysis, flow coefficient, performance characteristics for high speed machines |
Thermodynamic analysis of internal combustion engines (Otto cycle, Diesel cycle, Dual cycle) |
Introduction: Basic principles, historic evolution of internal combustion engine, engine classifications, engine operating cycles, engine components |
Engine design and operating parameters |
Kinematics and force analysis of internal combustion engines |
Thermochemistry of fuel-air mixtures |
Diesel and gasoline fuel injection systems, fuel jet behavior, droplet distribution, droplet vaporization–ignition, gasoline direct injection engines (GDI) |
Engine friction and lubrication. Introduction to tribology |
Pollutant formation and control in spark ignited and diesel engines |
Vehicle Technology - 7th Semester - Course Hours:3 - ECTS:4 | Outline |
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14. Introduction |
15. Vehicle dynamics |
16. Wheel connection |
17. Suspension systems |
18. Steering system |
19. Vehicle assistance systems |
20. Braking systems |
21. Power boost braking |
22. Hydraulic braking systems |
23. Pneumatic braking systems |
24. System failures and diagnosis methods |
25. Maintenance of vehicle systems |
Supply Chain Management - 7th Semester - Course Hours:3 - ECTS:4 | Outline |
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Sales and Operations Planning (SOP) |
Material Requirements Planning (MRP) |
Procurement Management |
Inventory Management |
Production Planning |
Sales and Distribution |
Warehouse Management |
Supply chain controlling |
Nanotechnology - 7th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Introduction, significance, examples |
2. Parallel fabrication techniques |
3. Serial fabrication techniques |
4. Self-assembly and exotic methods |
5. Bottom-up and molecular nanotechnology / Metamaterials |
6. Single-electron nanoelectronics |
7. Quantum computers |
8. Spintronics |
9. Carbon nanotubes |
10. Two-dimensional materials: Graphene and MoS2 |
11. Applications of Nanotechnology |
12. Microscopy techniques |
13. Accessibility, real technologies and roadmap |
Physical and Chemical Processes - 7th Semester - Course Hours:3 - ECTS:4 | Outline |
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1.Physical processes-classification |
2. Mass and energy balances (implementation in basic processes) |
3. Mass transfer separation processes |
Gas-liquid operations: |
4. Distillation (single- and multi-stage) |
Mathematical modelling |
Basic design of a distillation column |
5. Gas Absorption |
Liquid-Liquid operations |
6. Liquid extraction |
7. Chemical Processes |
8 Classification of chemical reactions and reactor types |
9. Mass and energy balances in chemical processes |
10. Mathematical modelling and basic design equations of Ideal batch reactors |
11. Mathematical modelling and basic design equations of ideal stirred tank reactors |
Power Energy Systems and Energy Saving - 7th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Introduction: electronic management of energy and systems-applications |
2. Power converter systems for electric vehicles |
3. Current source inverters – applications |
4. Switching mode power supplies |
5. UPS technologies and characteristics |
6. Multilevel converters – technologies and industrial applications |
7. Analysis of power quality characteristics in industry: voltage and frequency disturbances, harmonic issues |
8. Harmonic filters technologies – passive and active filters in industrial applications |
9. Electronic control of reactive power (TSC, static var compensators) |
10. Induction heating – applications in production processes |
11. Energy saving technologies: power and heat cogeneration systems |
12. Energy saving technologies: BMS systems |
13. Energy saving technologies: Energy storage systems management. |
Optimisation Methods - 7th Semester - Course Hours:3 - ECTS:4 | Outline |
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Introduction to mathematical programming. Necessary conditions for optimality with and without constraints. Lagrange multipliers, KKT (Karush-Kuhn-Tucker) conditions, optimization algorithms and termination criteria. Linear programming (Simplex method, duality, canonical form, Matlab examples). |
Network optimization (introduction to network theory, minimum path and maximum flow problems, Matlab examples). |
Integer programming (cutting planes method, branch and bound method, dual programming, mixed integer programming, Matlab examples). |
Constrained optimization (polynomial approximation, Newton, Marquardt, quasi-Netwon). |
Nonlinear programming (penalty functions, sequential linear approximation, quadratic programming, Matlab examples) |
Advanced Control of Electrical Motors - 7th Semester - Course Hours:3 - ECTS:4 | Outline |
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Theoretical section: |
· Introduction to Wireless Networks · Introduction to Vector Control (Vector Control or Field Oriented Control-FOC), Principle of Operation of Vector Control, |
· Reference Systems (abcs, αb0s, dq0s and γδ0s), Clark and Park Transforms), |
· Current / Torque Control and Flow Control, Vector Control Classification (Indirect FOC and Direct FOC), |
· Vector Control of Asynchronous and Modern Machines (Speed and Torque Control), |
· Advantages of Vector Control (Response and Strength of Control; per Ampere (MTPA), Speed Range Expansion · Flux or Field Weakening, |
· Electric Power Converters, 3-phase Inverters, Sinusoidal PWM (Simulink Model of Inverter), |
· Space Vector PWM (SVPWM), Comparison of Space Vector and Sinusoidal PWM. · State Observers, Sensorless Control, |
Tasks - Practice Exercises: |
· Analysis of the structure of the Vector Control (Matlab / Simulink), |
· Park Transformation and Inverse Park Transformation (Matlab / Simulink), |
· Simulation of Observers of Electrical Engine Conditions (Matlab / Simulink), |
· Flow and Torque Estimation, Angular Position and Current Estimation (Matlab / Simulink). |
Automotive Electronics - 7th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Automotive electronic drawing elements: Symbols, electronic control units, sensors, actuators, control systems, automotive integrated circuits |
• Electronic control unit: building blocks, primary and secondary functions. Integrated automotive electronic systems. Sensor and actuator elements, closed and open loop operation. |
• Engine control system: engine control module, sensors and actuators historical evolution, Jetronic, Motronic. |
• Control systems: ABS anti-lock braking system, Transmission system, Vehicle stability control systems. |
• Vehicle auxiliary systems. fans, windshield wipers, electric windows, electromagnetic locks, air conditioning system, instrumentation (operating principles and connections) |
• In-vehicle communication: introductory concepts, Controller Area Network (CAN), Local Interconnects Network (LIN). |
Laboratory applications: |
• Motronic electronic engine control systems (for direct and indirect injection), Basic Sensors: EGO, speed, temperature, throttle, engine load measurement (VAF, MAF, MAP), knock sensor, etc. (Operating principles, construction, faults). Basic Actuators: fuel injectors, fuel pump, idle regulator, EGR. (Principles of operation, construction, failures). |
• Antilock Braking System (ABS): electrical circuit analysis, measurements |
Control Systems III - 7th Semester - Course Hours:3 - ECTS:4 | Outline |
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Introduction to controller design : Basic specifications in the time domain. Types of controllers-compensators. Categories of control problems. Closed loop block diagrams with different configurations. Effect of disturbances, noise and sensitivity functions. Basic design tools (Root locus, Bode diagrams). Root locus design. Phase lead/lag compensators. Two and Three term controllers (PI,PD,PID). Frequency domain design techniques. Pole placement design techniques. Exercises and applications in MATLAB. |
Modeling And Simulation - 8th Semester - Course Hours:4 - ECTS:4 | Outline |
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1 - System Modelling |
1.1 Description of dynamic systems (inputs, outputs, disturbances) |
1.2 Extraction of a mathematical model from basic principles |
(electrical, mechanical, electromechanical, thermal, hydraulic) |
1.3 Frequency response models |
1.4 Linear and non-linear state space models |
1.5 Linearization techniques of nonlinear systems |
2 - System identification |
2.1 Introduction to least squares methods |
2.2 Model fitting to Input-Output Data |
2.3 Parameter estimation of parametric models |
2.4 Selection of input signals (steps, PRBS, white noise) |
2.5 Representative Examples and Solutions with MATLAB |
3 - Simulation |
3.1 Simulation models |
3.2 Types of simulation |
3.3 Continuous-time modeling |
3.4 Simulation through equations and block diagrams |
3.5 Development of discrete-time models |
3.6 Development of simulation programs |
3.7 MATLAB / SIMULINK simulation models |
3.8 Sampling methods |
3.9 Random Number Generators |
3.10 Monte Carlo method |
3.11 Analysis of results |
3.12 Simulation of specialized systems (inventory, production and queues) |
Wireless Systems and Networks - 8th Semester - Course Hours:4 - ECTS:4 | Outline |
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· Introduction to Wireless Networks |
· Wireless LAN Technologies (Narrowband, Spread Spectrum, Frequency Hopping Spread Spectrum, Direct Sequence Spread Spectrum) |
· Wi-Fi, IEEE 802.11 Standards (802.11a, 802.11b, 802.11g, Wireless LAN Frequency Spectrum) Modes of Ad Hoc-Infrastructure, Networking Devices (Access Point, Router) |
· WLAN Performance, Wireless Sensor Network Applications |
· Signal Coding Techniques |
· Multiple Code Division Access Energy Saving |
· Architectures, Communication Protocols, Network Services, Node Architecture |
· Standard: ISA100 Wireless, Wireless HART (ANSI / ISA-100.11a-2011), Wireless Systems for Industrial Automation: Control Process and Communication Data, Troubleshooting |
· Detection and Correction of Errors in Data Transmission |
- Laboratory exercises: |
· Structure analysis of communication protocols in Wireless Networks (Network Diagnostic Commands/Wireshark). |
· Network structure and communication problem diagnosis (Network Diagnostic Commands/Wireshark). |
· Header Structure of Multilevel Protocols (Wireshark) |
· Internet and Transfer Protocols IP, TCP, UDP (Network Diagnostic Commands/Wireshark) |
· TCP Connections (Network Diagnostic Commands/Wireshark). |
Microcomputers in Production - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Binary, hexadecimal and BCD numbering systems, two’s complement arithmetic |
2. Computer structure: memories, registers, adder, accumulator, arithmetic and logic unit, information buses, CPU, I/O port, microcomputer structure, bus timing signals, memory interfacing, address decoders |
3. AVR Studio program |
4. Memories of the ATmega32 microcontroller: program memory, register file, SRAM, EEPROM |
5. Simple arithmetic operations |
6. Unconditional and conditional absolute and relative jump |
7. Complicated arithmetic operations |
8. Indirect addressing |
9. Stack and subroutines |
10. Loop structures |
11. Shift and rotate instructions |
12. Structured assembly |
Electrical Installations - 8th Semester - Course Hours:4 - ECTS:5 | Outline |
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1. Aspects of electric power production, transmission and distribution. Generators, transformers, transmission lines. Voltage levels: High, Medium and Low voltage. |
2. Nominal values of three-phase systems. 20/0.4 kV transformers in Dyn configuration. IT, TT, TN-C, TN-S, TN-C-S grounding systems. |
3. Dangers and measures against electric shock. Safe voltage levels. Often mistakes in installations. Proper and improper neutral grounding. Residual Current Device. |
4. Safety measures during operation and maintenance of electrical installations. Step voltage, touch voltage. Reference to norms and regulations: ELOT, HD 384, Cenelec, IEC, ITU. |
5. Typical domestic and industrial power distribution. Switchgear, types of switches, types of fuses. Relays and conductors. Thermal relays and thermomagnetic circuit breakers. |
6. Components of automation panels and installations: time relays, limit switches, inductive and capacitive sensors, counters, various types of relays, PLCs. |
7. Marking and numeration of contacts. Schematic symbols. |
8. Power cables: basic types and usages. Color code of installation power cables. Cable types and cable colors inside power and automation panels. |
9. Calculation of current carrying capacity of cables, installation conditions and methods, operational conditions, electrical, thermal and mechanical strain. |
10. Examples of power cables calculations. |
11. Sizing of switchgear and fuses. Protection of power lines and installations. |
12. Examples: simple automation circuits, Star/Delta starter, motor reversing. |
13. Presentation of exemplary installations. Presentation of good practice guidelines. |
Cnc Machine Tools - 8th Semester - Course Hours:4 - ECTS:5 | Outline |
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No Content Description |
Logistics and Transport - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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No Content Description |
Process Control - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Introduction to process control |
2. Mathematical modelling for process control |
3. State space models and linearization |
4. Feedback control loop (sensors, controllers, final control elements) |
5. PID control algorithm |
6. PID parameter tuning: Ziegler – Nichols, Cohen-Coon, model based methods |
7. Model based control |
8. Feedforward control |
9. Cascade control |
10. Control of MIMO processes |
11. Special control structures for multi variable processes. |
Finite Element Method - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Introduction to the finite element method |
• Discretization for continuum mechanics |
• Stiffness matrix for elements and structures |
• Direct stiffness method |
• Galerkin method |
• Boundary conditions |
• Shape functions |
• One-dimensional, two-dimensional and three-dimensional elements |
• Stress and strain analysis |
• Numerical integration |
• Programming |
• Development of Finite Element models utilizing an appropriate commercial software, examples and coursework |
Off-road Vehicles - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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Mechanical behaviour of soil, interaction between wheel/track and terrain. |
Adhesion, traction and motion resistance of wheels and tracks, longitudinal and lateral slip. |
Configuration, suspension and tension o f tracks. |
Engine performance, engine speed regulation, air filtration. |
Under-load shifting gearboxes. |
Multiple-selection gearboxes. |
Power-split gearboxes. |
Transfer cases. |
Power take-offs. |
Open and limited-slip differentials. |
Torque-sensitive and speed-sensitive differentials. |
All-wheel drive systems. |
Axles and final transmissions. |
Hydromechanical and hydrostatic steering systems. |
Hydraulic and pneumatic braking systems. |
Endurance brake systems. |
Mechatronics - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Introduction to mechatronics |
• Applications of mechatronics systems |
• Uses of mechatronics systems |
• Analysis of mechatronic systems |
• Use of electrical and electronic parts |
• Use of mechanical subsystems |
• Development of programming applications for mechatronic systems |
• Programming of mechatronic systems |
• Mechatronics system design |
• Mechatronics system simulation |
• Optimization of mechatronics systems |
• Implementation and control of mechatronic systems |
• Evaluation of mechatronics systems |
Renewable Energy Sources - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Introduction: RES types, their importance for the environment and economy, current status of the international market. |
• Distributed generation systems, development and use in modern electrical power production, transmission and distribution systems. |
• Solar energy: basic principles of solar radiation, solar cell, PV panel (I-V, P-V characteristics), basic equations |
• Wind energy: basic description, quantitative assessment, part of wind generators |
• Hydroelectric stations: basic description, types of hydroturbines and operational principles |
• Biomass energy: types of biomass and energy content |
• Electrical energy storage systems: basic battery types, other systems (supercapacitors, flywheels, hydrogen storage) |
• PV electrical energy production systems: panels, mounting systems, balance of plant (BOS), basic design, examples, applications |
• Wind generator systems: mounting, balance of plant systems, basic design, examples, applications |
• Hydroelectric stations: basic parts, grid connection, examples |
• Biomass based systems: basic parts of a station, thermodynamic cycles, examples |
• Geothermal energy: basic parts, examples. |
• Combination of RES systems: autonomous power systems, design, examples. |
Vehicle Dynamics - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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No Content Description |
Motion Transmission Systems - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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Introduction |
Vehicle approvals |
Composition of the automotive drive system |
Principles of clutches |
Torque converter |
Driving resistance forces |
Manual transmissions |
Planetary gearboxes |
Automatic transmissions |
Continuously variable transmissions |
Drive shafts and articulated joints |
Differential systems |
Digital Control Systems - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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1 – Introduction |
1.1 Introduction to computer-controlled systems |
1.2 The Z-transform and inverse Z-transform |
1.3 Sampling and hold |
1.4 Block diagrams |
2 – Analysis of digital control systems |
2.1 Pulse transfer functions for sampled-data systems |
2.2 Digital Root locus and pole locations |
2.3 Steady-state errors of sampled-data systems |
2.4 Frequency response of sampled-data systems |
2.5 Sampling frequency calculation rules |
2.6 Antialiasing filter design |
2.7 Stability criteria for discrete-time systems (modified Routh, Jury) |
3 – Digital controller realization |
3.1 Difference equations |
3.2 Discrete-time computer code |
4 – Design by emulation (analog design discretization) |
4.1 Discrete-time performance specifications |
4.2 Methods of Discretization of analog controllers |
5– Direct digital design |
5.1 Digital PID design techniques |
5.2 Pole placement digital design |
5.3 The method of Ragazzini |
6–State-space design |
6.1 State-space discretization |
6.2 Controllablity and observability in discrete-time |
6.3 Pole placement design in discrete-time |
6.4 Observers in discrete-time |
7– Optimal control of digital controllers |
7.1 Deadbeat control design |
7.2 Ripple-free deadbeat control design |
8 – Simulation of digital control systems |
8.1 Digital and hybrid simulation diagrams |
8.2 MATLAB/SIMULINK examples and case studies |
Entrepreneurship - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Introduction to the concept of Entrepreneurship and technology. |
2. Analysis of the Economy and Competitiveness. |
3. Introduction and analysis of the concepts of entrepreneurship & the Business environment. |
4. Analysis of the types, content, nature, processes, origin and typology of entrepreneurship. |
5. Analysis of Copyright and Industrial Property. |
6. Analysis of Innovation and Entrepreneurship. |
7. Analysis of innovation and creativity process. |
8. Analysis of methods and tools to improve innovation and creativity. |
9. Analysis of Innovation in Greece. |
10. Software workshop for the creation of financial statements of a business plan and a business canvas (Business Model Canvas). |
11. Establishment of the company. |
12. Business development. |
13. Finding resources - Financing in all phases of the business process. |
14. Analysis of exit or closure strategies, merger of a company. |
Knowledge Management Systems - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Introduction to Knowledge Management Systems |
• Principles of Knowledge Representation and Reasoning |
• Structured Representations |
• Rule Systems |
• Characteristics, Structure and Operation of Knowledge Management Systems |
• Development Process, Models, Knowledge Extraction |
• Ontology Development Methodology |
• Verification and Validation Check |
• Advanced Reasoning |
• Knowledge Systems Applications |
• Rule System, Practical Part, Examples, Software |
Auto-guided Systems - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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Theory: |
1. Introduction to Autonomous Systems and Autonomous Vehicles |
2. Introduction to the Python programming language |
3. Basic concepts of routing and path finding algorithms |
4. Python structures for implementing path finding algorithms |
5. The ecosystem of Autonomous Vehicles (chassis, electrical and electronic components, hardware and software components, sensors) |
6. Simulation tools for Autonomous Vehicles |
7. Raspberry Pi and Linux |
8. Robot Operating System |
9. Simultaneous Localization and Mapping (SLAM) for creating the Occupancy Grid Map (OGM) |
10. The Gazebo emulation tool |
11. Mathematical models and tools for Autonomous Vehicles |
12. Planning and Scheduling algorithms |
13. Project: Python, Raspberry, ROS, Algorithms |
Lab: |
1. Introduction to python and python programs |
2. Routing and path finding algorithms |
3. Python for implementing routing algorithms |
4. Raspberry Pi and Linux |
5. Assembly of an autonomous vehicle prototype |
Enterprise Resource Planing (Erp) - 8th Semester - Course Hours:3 - ECTS:4 | Outline |
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Introduction to ERP Systems |
Standard integrated business processes related to manufacturing companies and to commercial companies |
Planning, execution and control of integrated business processes within a manufacturing company including sales and distribution, material requirements planning, procurement, inventory management, production planning, billing and financials management using an ERP System such as SAP |
Planning, execution and control of an integrated business process within a commercial company including sales and distribution, material requirements planning, procurement, inventory management, billing and financials management using an ERP System such as SAP |
Robotics - 9th Semester - Course Hours:4 - ECTS:5 | Outline |
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Classification of Robotic Systems, Robotic Arms, Robotic Fingers, Walking Devices, Omnidirectional Wheels, Self-Guided Robotic Vehicles (AGVs and AMRs), Robot Kinematics, Robot Dynamics, Inverse Kinematics and Dynamics, Kinematic Singularities, Identification of kinematic and dynamic parameters, Selected topics of Mechanism theory, Motion Control, Force Control, Compliance and Impedance Control, Path generation and tracking, Robot-based assembly operations, Remote Center Compliance (RCC), Cooperating robots, Robot programming, Brief Introduction to Machine vision (Digital Image Processing and Pattern recognition), Nanorobotics, Medical robotics, Various robotic applications, Haptic devices, Brief Intro to Virtual reality and its applications. |
Project Management - 9th Semester - Course Hours:4 - ECTS:5 | Outline |
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Feasibility Study |
Project Initiation, Planning, Execution, Monitoring & Control, Closure |
Integration management |
Scope management |
Cost management |
Time management |
Quality management |
Human resources management |
Communications management |
Risk management |
Environmental Engineering - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Introduction to environmental engineering |
2. Natural resources and sustainability |
3. Air pollution – Air quality |
4. Water pollution – Water quality |
5. Soil pollution |
6. Solid – liquid – gaseous wastes |
7. Radioactivity – Radioactive waste |
8. Energy and the environment |
9. Life Cycle Analysis |
10. Tools of environmental management |
11. Environment and environmental impacts |
12. Educational visit to a relevant company |
13. Presentation of student projects - discussions |
Human - Mechatronic Systems Interaction - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Introduction, review and analysis of mechatronic systems. |
• Introduction, overview of the Cognitive area of Human-Machine Communication. |
• Modeling of man as a user of computer systems and mechatronics systems. The human factor - Ergonomics |
• Interaction technologies: Input / output devices, interaction style, direct control, collaboration support systems, virtual reality, support technology for people with disabilities. |
• Interface analysis, Voice interfaces, Tactile and non-tactile interfaces, Brain Computer Interaction |
• Other forms of interaction, Augmented Reality Technologies, Wearble technologies |
• Interface development, Interface evaluation |
• Interactive systems design methodologies and dialogue description methods, interface design, usability and accessibility of web applications. |
• Human-machine interaction evaluation techniques. |
Construction Vehicles - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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Types and uses of construction machinery, evaluation and selection criteria. |
Rollers: Ground and asphalt compaction, rollers with drums and rollers with tyres, vibration and oscillation of drums. |
Tractors, wheeled and tracked: drawbar pull efficiency, steering systems for tracked tractors. |
Loaders, wheeled and tracked: propulsion and loading systems. |
Bulldozers: design and setup of the blade and the ripper, transmission and steering systems. |
Graders: design and setup of the blade, frame, axles and transmission systems. |
Excavators: frame and carriage, propulsion systems, excavation methods and systems, tools. |
Computer-integrated Manufacturing - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Introduction to CIM |
• Applications |
• Completion of systems |
• Integration techniques |
• PLC connection to Databases |
• PLC interconnection with CNC machine tools |
• PLC integration with ERP programs |
• Completion of PC with PLC, CNC, Robotics systems |
• Use of programming in CIM systems |
• Development of programs |
• Internet connection |
• Data recording and monitoring |
• Industrial applications |
Selected Topics on Electrical Motors - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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Theoretical part: |
· Mathematical Models of 3-phase Electric Machines (Inductive and Modern), |
· Per Unit System, |
· Simple Electrical Equivalent Circuits, Control and Limitations during Operation, |
· Operation in Transitional and Steady State in a two-axis system, V / f Control), |
· Formulation of square pulses in voltage inverters (PWM inverters), |
Advantages of Vector Control (Response and Strength of Control; per Ampere (MTPA), Speed Range Expansion · Flux or Field Weakening, |
· Electric Power Converters, 3-phase Inverters, Sinusoidal PWM (Simulink Model of Inverter), Production of 3-phase power supply, Harmonic analysis of the supply-driving voltage, effects on the generated electric torque. |
· Analysis of the behavior of electric motors in different fault conditions, |
· Advanced control of operating conditions for fault diagnosis, signal processing, variable measurements, |
· Procedure for determination and fault estimation (current signal analysis, development of appropriate models, observers of variables, etc.), |
Tasks - Practice Exercises: |
· One Phase Error Analysis, Short-circuit of the winding part (Matlab / Simulink), |
· Error Analysis of the Magnetic Field of the Rotor (Matlab / Simulink), |
· Simulation of the Electric Motor Fault (Matlab / Simulink), |
· Development of Error Observers (Matlab / Simulink). |
Industrial Partnership - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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• The content of the course is directly related to the field of work of the student provided by their employers and can involve and relate to a group of other courses of the study programme of the Department. The field of work of the student must be within the scope of study of an Industrial Engineer and Manager. |
Intelligent Systems - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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• Introduction to Intelligent systems |
• Fuzzy Logic - Fuzzy Sets |
• Participation Functions, Mathematical Representation |
• Transactions between Fuzzy Sets (application of operators) |
• Relationships between Fuzzy Sets, Fuzzy Inference |
• Export rules (clustering, k-means algorithm) |
• Fuzzy Conclusion (modus ponens, Synthetic Rule of Conclusion) |
• Artificial Neural Networks |
• Perceptron, Convergence Theorem |
• Linear Neural Networks |
• Feedforward networks |
• Backpropagation learning algorithm |
• Deep learning |
• Matlab Software / Matlab Toolbox |
Electromobility - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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Introductory elements: brief throwback to electrification, electric vehicles and hybrid electric vehicles. Factors leading to their study and introduction to the market. |
Electric vehicles (EVs): architectural structures of EVs. Electrical powertrain structural elements. |
Energy storage system. Types of energy sources and their applications. Source hybridization. |
Batteries: types of batteries. Characteristic sizes regarding electrification (service life, operating voltage, capacity, state of charge/discharge, charge/discharge rate). Model of realistic battery. Applications. Practical issues (charging, battery change, maintenance). |
Supercapacitors: Function. Types of supercapacitors. Characteristic sizes regarding electrification (service life, operating voltage, capacity, state of charge/discharge, charge/discharge rate). Applications. Practical issues. |
Other energy sources: fuel cells, solar panels, ultra-high speed flywheels. |
Charging system: types of charging systems. On and off board chargers. Charging levels. Fast chargers. Conductive, inductive and wireless charging. Cost. V2G technology. |
Propulsion system. Propulsion power and drive characteristics, electric motors, motor drives. |
Electric motors: types of motors in electric vehicles (dc motors, ac motors, induction motor, BLDC motors and PMSM, SRM), basic principles of their operation and applications. Operation in generator area. |
Motor drives, power electronics, inverters, DC/DC converters, DC/AC. |
Regenerative braking. Principles of regenerative braking. Dynamic braking of electric motors, braking energy in a city cycle. Implementation strategies. |
Hybrid electric vehicles: types of hybrid electric vehicles (micro, mild, full, plug-in), combinations of powertrains (series, parallel, series-parallel), modes of operation. Internal combustion engines for hybrid vehicles. Coupling forms: related technology. Application example: Toyota Prius. |
Energy management system in vehicles with more than one power source. Basic types of operation. Related algorithms. Energy flow management and distribution in more than one source. |
Electric and hybrid electric vehicles in practice |
Examples of electric and hybrid electric vehicles |
• Laboratory application: electric tricycles. |
Stochastic Processes - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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A brief review of key elements of probability theory and distributions. Basic concepts of Random Processes. Discrete- /continuous-time and discrete /continuous state space models of processes. Arrivals in discrete time: Bernoulli process. Arrivals in continuous time: Poisson process. Markov chains: Definition of Markov models. Transition probability tables. Chapman-Kolmogorov equations. Markov Chains: Periodicity. Balance equations. Stochastic signals: definition, classification. Expected values: Mean, autocorrelation. Stationarity. Ergodicity. Autocorrelation and crosscorrelation properties. Spectral power density. Linear system response to stochastic input. Gaussian process. White noise. Applications and examples. |
Microcontrollers - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. The JTAG ICE |
2. Input / Output ports of the microcontroller ATmega32 |
3. Interrupts |
4. Timer 0 and 2 |
5. Timer 1 |
6. Measures of time and frequency with the timers |
7. 7 segments display interfacing |
8. Hex keyboard interfacing |
9. LCD screen interfacing |
10. Pulse width modulation (PWM) |
11. Analog to digital conversion (ADC) |
12. Asynchronous serial communication – RS232 |
13. PID controller project |
Classical Industrial Automation - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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1. Safety during operation or maintenance of installations. The electromechanical relay: principle of operation, properties, contact types, pin numeration, types of relays. |
2. Relay markings, contact numeration, schematic symbols. Presentation of an exemplary circuit of a direct induction motor starter. |
3. Contact index, schematic on multiple pages with cross-references of circuit elements. Induction motor inversion. |
4. Automatic star/delta starter. |
5. Consecutive starting and stopping of two motors. |
6. Three one-directional conveyor belts. |
7. Proximity switches, optical proximity sensors, counters. |
8. Automated door gate. |
9. Tannery drum. |
10. Color mixing. |
11. Vehicle loading. |
12. Three motors in consecutive starting order. |
13. Repetitive Lesson. |
Gas Exchange Processes in Heat Engines - 9th Semester - Course Hours:3 - ECTS:4 | Outline |
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Thermodynamics of gas-turbine cycles, gas power systems, Brayton cycle |
Dimensional analysis and performance laws, flow coefficient and stage loading, specific speed and specific diameter |
Diffusion and diffusers |
Design methods for radial flow turbomachines |
Combustion in spark‐Ignition engines, thermodynamic analysis, computation of fuel burning rates by analysis of indicator diagram |
Flame structure, propagation, engine knock |
Combustion in diesel engines, IDI and DI combustion chambers |
Ignition delay |
Heat transfer in reciprocating engine cooling systems, computation of thermal loading of engine components (piston, cylinder head, cylinder liners, exhaust valves |
Charge motion within the cylinder |
Gas exchange processes, flow through valves and ports |
Supercharging and turbocharging a reciprocating internal combustion engine |