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 4th 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 | |||
Microelectromechanical Systems | 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 |
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 Ε1 | 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 |
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 Motors And 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 |
Heat Engines | 4 (3 Theory + 1 Exercises) | 5 | Yes |
Vehicle Technology | 3 (3 Theory) | 4 | No |
Project 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 Systems Electronics 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 |
---|---|---|---|
System 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 | |
Auto-guided Systems | 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 | |
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 |
Supply Chain 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 | |
Gas Exchange Processes in Heat Engines | 2 Theory + 1 Exercises | No | |
Industrial Internship | 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 |
10th Semester | Course Hours | ECTS | Erasmus |
---|---|---|---|
Diploma Thesis | - | 30 | No |
Total | - | 30 |
Electrotechnical Materials - 2nd Semester - Course Hours: 3 - ΕCTS: 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 |
Electronic Systems - 3rd Semester - Course Hours: 5 - ΕCTS: 6 | Outline |
---|
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 |
Probability Theory and Statistics - 3rd Semester - Course Hours: 5 - ΕCTS: 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 |
Industrial Safety And Health - 3rd Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
1. Introduction to Industrial Management and Safety |
2. Occupational accident |
3. Personal Protective Equipment |
4. Hazardous Materials |
5. Fire Protection |
6. Radioactivity |
7. Electromagnetic Radiation |
8. Noise |
9. Lighting |
10. Ergonomics |
11. Estimate occupational risks |
Transform Theory and Systems - 4th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
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. |
Micro-Electro-Mechanical Systems (MEMS) - 4th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
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 (MicroEnergy) |
11. MEMS Application 2 (Micro-robots) |
12. MEMS Foundries |
13. Summary |
Operational Research - 6th Semester - Course Hours: 4 - ΕCTS: 5 | Outline |
---|
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 Transhipment Problem (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 |
Electric Machines and Electric Motor Drives II - 6th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
1. Introduction to synchronous machines: principles of operation, construction, applications |
2. Synchronous generators: equivalent circuit, power and torque calculations |
3. Voltage and frequency control and parallel operation of synchronous generators |
4. Transient phenomena in synchronous generators |
5. Synchronous motor: equivalent circuit and steady state operation |
6. Start up of a synchronous generator, application 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. Introduction to switched reluctance motors |
10. Other types of motors: step and hysteresis motors |
11. Permanent Magnet (synchronous and brushless DC) motors & drives: construction & operation |
12. Permanent Magnet motors: equivalent circuits and applications |
13. Power electronic drive systems for permanent magnet machines |
Signals, Information and Communication - 6th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
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 signaling protocols. Applications and examples. |
Thermal Engines - 7th Semester - Course Hours: 4 - ΕCTS: 5 | Outline |
---|
1. Basic Principles and historic evolution of Internal Combustion Engines. Reciprocating engine cycles. |
2. Design, construction, materials of engine components–subsystems. Main categories of reciprocating engines. Vehicle engines. Naval engines. Static engines. Airplane engines. |
3. Engine design and operation parameters. |
4. Thermochemistry of flammable air‐fuel mixtures. Air to Fuel ratio calculation based on exhaust gas composition. |
5. Diesel and gasoline fuel injection systems. Fuel jet behavior, droplet distribution. Droplet vaporization–ignition. Gasoline Direct Injection Engines (GDI). |
6. Combustion in diesel engines. IDI and DI combustion chambers. Combustion in Spark Ignited engines. |
7. Engine friction and lubrication. Introduction to tribology. |
8. Pollutant formation and control in Spark Ignited and Diesel engines. |
9. Basic Principles and definition of a turbomachine. Coordinate system. Relative velocities. |
10. Main categories of turbines, compressors, steam turbines, gas turbines. |
11. Velocity diagrams for an axial flow compressor stage. The fundamental laws. |
12. Dimensional analysis and performance laws. Incompressible fluid analysis. Performance characteristics for low‐speed machines. |
13. Compressible flow analysis. Flow coefficient and stage loading. Performance characteristics for high‐speed machines. Specific speed and specific diameter. |
Project Management - 7th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
1. Feasibility Study |
2. Project Initiation, Planning, Execution, Monitoring & Control, Closure |
3. Integration management |
4. Scope management |
5. Cost management |
6. Time management |
7. Quality management |
8. Human resources management |
9. Communications management |
10. Risk management |
Nanotechnology - 7th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
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 |
Power Systems Electronics And Energy Saving - 7th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
1. Introduction: electronic energy management and systems – applications |
2. Electronic power conversion systems in electric vehicles |
3. Current source power converters – applications |
4. Switching mode power supplies |
5. Principles and technologies of UPS systems |
6. Multilevel power converters: technologies and industrial applications |
7. Power quality in industry: voltage and frequency transients, harmonics |
8. Harmonic filters design: passive and active filters in industrial applications |
9. Electronic control of reactive power: Thyristor switched capacitors, static var compensations |
10. Induction heating: principles and operation |
11. Energy saving technologies: cogeneration of heat and power |
12. Energy saving technologies: building management systems applications |
13. Energy saving technologies: Optimal management of electrical energy storage systems |
Control Systems III - 7th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
1 – Introduction to controller design |
1.1 Basic specifications in time domain |
1.2 Types of controllers-compensators |
1.3 Categories of control problems |
1.4 Closed-loop block diagrams with various inputs |
1.5 Impact of disturbances, noise and sensitivity functions |
2 - Basic design tools |
2.1 Root Locus |
2.2. Bode diagrams |
3 - Root locus design |
3.1 Lead-lag controllers |
3.2 Two-term controllers (PI, PD) |
3.3 Three-term controllers (PID) |
4 - Frequency domain design |
4.1 Basic specification in the frequency domain |
4.2 Lead-lag controllers |
4.3 Two-term controllers (PI, PD) |
4.4 Three-term controllers (PID) |
5– Empirical and semi-empirical design |
5.1 Three-term controller (PID) tuning rules (Ziegler Nichols, Cohen-Coon, CHR) |
5.2 Relay feedback tuning |
6 – Special design techniques |
6.1 Notch filter |
6.2 Combination of Notch with PI / PID (integral action) |
6.3 Alternative forms of PID algorithm implementation (parallel, serial, practical) |
6.4 Practical limitations and other techniques (windup integrator, derivative filter, |
bumpless transfer) |
7- Controllers with additional degrees of freedom |
7.1 Design of controllers with two degrees of freedom (prefilter, cascade) |
7.2 Design of modified controllers with additional features |
8 - Simulation and implementation of control systems |
8.1 Implementation with active and passive circuits |
8.2 Applications in MATLAB / SIMULINK environment with special emphasis on servo systems |
Automotive Electronics - 7th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
1. Automotive electronic drawing elements. |
2. Elementary Electronics and Control theory: Analogue and digital electronics, Microcontrollers, Microprocessors. |
3. Electronic control unit |
4. Engine control systems (direct and indirect injection) |
5. Automotive Sensors: speed, temperature, throttle valve, |
6. Automotive Sensors: load measurement (VAF, MAF, MAP) |
7. Automotive Sensors: oxygen, knock etc |
8. Automotive Actuators: relays, electromagnetic valves (analogue, ON/OFF) |
9. Automotive Actuators: injectors, fuel pump, idle motor, EGR |
10. Automotive passive Safety Systems |
11. Anti-block braking system (ABS) |
12. Transmission system, Transmission control systems (steering, differential) |
13. Laboratory experiments: Engine Control Systems" |
Modelling and simulation - 8th Semester - Course Hours: 4 - ΕCTS: 4 | Outline |
---|
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) |
Finite Element Method - 8th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
Renewable Energy Sources - 8th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
1. Introduction: RES types, the importance of RES for the economy and the environment, current status in the International, European and National (Greek) context |
2. Distributed generation systems, development and use in the current framework of production, transmission and distribution of electrical energy. |
3. Solar Energy: basic principles of solar energy production, solar cell, PV panels (I-V, P-V curves), basic equations |
4. Wind energy: overall system description, estimation of energy produced, types and parts of a wind generator. |
5. Hydroelectric power: systems description, types of hydro turbines and operational characteristics |
6. Biomass energy: types of biomass and energy content |
7. Electrical energy storage: basic battery technologies and their characteristics, other storage systems (supercapacitors, flywheels, fuel cells) |
8. PV systems energy production: PV panels connection, mounting systems, balance-of-system (BOS), design, application examples |
9. Wind energy systems: mounting, BOS, design application examples |
10. Hydroelectric stations: description of a plant, grid interconnection |
11. Biomass energy production systems: description of a plant, thermodynamic cycles, examples |
12. Geothermal energy systems: basic parts – examples |
13. RES systems combination: autonomous energy systems, design, application examples |
Vehicle Dynamics - 8th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
Digital Control Systems - 8th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
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 |
Environmental Engineering - 9th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
1. Introduction to environmental Engineering |
2. Natural resources and sustainability |
3. Air pollution –Air quality |
4. Water pollution –Water quality |
5. Soil pollution |
6. Wastes – solid, liquid, gas |
7. Radioactivity |
8. Ionizing - non ionizing radiation |
9. Energy and environment |
10. Environmental management |
Electromobility - 9th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
1. Electric motion and environment. Well-to-Wheel analysis. |
2. Electric Vehicle architectures. |
3. Electric vehicle powertrain systems general description |
4. Energy storage systems (Batteries – design, characteristics) |
5. Energy storage systems (Batteries – Battery Management System, Energy management) |
6. Energy storage systems (ultracapacitors, fuel cells, flywheels) |
7. Charging systems |
8. Propulsion system (DC/DC and DC/AC converters, Power converters, motor drives) |
9. Propulsion system (Electric motors for traction: DC, AC inductive) |
10. Propulsion system (Electric motors for traction: BLDC, PMSM, in-wheel, electric differential) |
11. Hybrid electric vehicles: series, parallel, compound |
12. Hybrid electric vehicles: transmission systems |
13. Human powered vehicles (electrically and non-electrically assisted). |
14. Regenerative braking description and strategies" |
Stochastic Processes - 9th Semester - Course Hours: 3 - ΕCTS: 4 | Outline |
---|
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 cross-correlation properties. Spectral power density. Linear system response to stochastic input. Gaussian process. White noise. Applications and examples. |