Semester 1
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-0120 | English Language 1 | 3 | 0 | 5 |
| 321-1500 | Discrete Mathematics I | 3 | 2 | 5 |
| 321-1200 | Structured Programming | 3 | 4 | 5 |
| 321-1400 | Introduction to Computer Science and Communications | 3 | 0 | 5 |
| 321-2000 | Logic Design | 3 | 2 | 5 |
| 321-1100 | Calculus | 3 | 2 | 5 |
| 321-2400 | Probability and Statistics | 3 | 2 | 5 |
Semester 2
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-0130 | English Language 2 | 3 | 0 | 5 |
| 321-2100 | Object-Oriented Programming I | 3 | 2 | 5 |
| 321-2450 | Discrete Mathematics II | 3 | 2 | 5 |
| 321-3300 | Computer Communications | 3 | 2 | 5 |
| 321-2550 | Circuit Theory | 3 | 2 | 5 |
| 321-3150 | Linear Algebra | 3 | 2 | 5 |
| 321-2050 | Physics | 3 | 2 | 5 |
Semester 3
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-0140 | English Language 3 | 3 | 0 | 5 |
| 321-3650 | Object-Oriented Programming II | 3 | 2 | 5 |
| 321-3350 | Computer Architecture | 3 | 2 | 5 |
| 321-3000 | Data Structures | 3 | 2 | 5 |
| 321-5500 | Signals and Systems | 3 | 2 | 5 |
| 321-3750 | Stochastic Procedures | 3 | 2 | 5 |
| 321-8950 | Digital Innovation & Entrepreneurship | 3 | 0 | 5 |
Semester 4
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-4200 | Algorithms and Complexity | 3 | 2 | 5 |
| 321-3100 | Information Systems Analysis and Design II | 3 | 2 | 5 |
| 321-3200 | Databases I | 3 | 2 | 5 |
| 321-7900 | Electronics | 3 | 2 | 5 |
| 321-4100 | Operating Systems | 3 | 2 | 5 |
| 321-4120 | Advanced Topics of Programming Languages | 3 | 2 | 5 |
Semester 5
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-3700 | Databases II | 3 | 2 | 5 |
| 321-6450 | Computer Networks | 3 | 2 | 5 |
| 321-6700 | Theory of Computation | 3 | 0 | 5 |
| 321-2300 | Operation of Business & Information Systems | 3 | 2 | 5 |
| 321-4000 | Software Engineering | 3 | 2 | 5 |
| 321-3450 | Telecommunications | 3 | 2 | 5 |
Semester 6
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-3400 | Information and Communication Systems Security | 3 | 2 | 5 |
| 321-7950 | Distributed Systems | 3 | 2 | 5 |
| 321-5200 | Information Law | 3 | 0 | 5 |
| 321-6500 | Information Systems Management | 3 | 0 | 5 |
| 321-88100 | Internet Programming | 3 | 2 | 5 |
| 321-3600 | Artificial Intelligence | 3 | 2 | 5 |
Semester 7
Cycle 1: Information and Communication Systems Security and Privacy |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-9700 | Computer Network Security and Privacy Enhancing Technologies | 3 | 0 | 5 |
| 321-5750 | Privacy and Data Protection Law | 3 | 0 | 5 |
Cycle 2: Information Systems and Entrepreneurship |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-8100 | Project Management | 3 | 2 | 5 |
| 321-7650 | and Tools | 3 | 0 | 5 |
| 321-5150 | Information Systems Analysis and Design Methodologies | 3 | 0 | 5 |
Cycle 3: Computer and Telecommunication Technologies |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-7050 | Digital Systems Design | 3 | 2 | 5 |
| 321-10300 | Digital Communications | 3 | 2 | 5 |
Cycle 4: Communication Systems and Networks |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-8350 | Network Management | 3 | 0 | 5 |
| 321-7000 | Performance Evaluation and Simulation of Computer Systems an | 3 | 2 | 5 |
Cycle 5: Information Management and Intelligent Systems |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-7750 | Introduction to Robotics | 3 | 2 | 5 |
| 321-6100 | Natural Language Processing | 3 | 0 | 5 |
Cycle 6: Computer Science Foundations |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-8600 | Information Theory | 3 | 0 | 5 |
Semester 8
Cycle 1: Information and Communication Systems Security and Privacy |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-10750 | Mobile and Wireless Networks Security | 3 | 0 | 5 |
| 321-6000 | Security on Physical Layer | 3 | 0 | 5 |
| 321-8050 | Cryptography | 3 | 0 | 5 |
Cycle 2: Information Systems and Entrepreneurship |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-5600 | Human - Computer Interaction and Web Applications | 3 | 2 | 5 |
| 321-8500 | Decision Support Systems | 3 | 2 | 5 |
| 321-11100 | Electronic Government Technologies and Applications | 3 | 0 | 5 |
Cycle 3: Computer and Telecommunication Technologies |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-7800 | Wireless Communications | 3 | 2 | 5 |
| 321-8750 | Introduction to VLSI | 3 | 2 | 5 |
| 321-7850 | Microprocessors | 3 | 2 | 5 |
| 321-9350 | Digital Image Processing | 3 | 2 | 5 |
Cycle 4: Communication Systems and Networks |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-7250 | Mobile Communication Networks | 3 | 2 | 5 |
| 321-6250 | Internet Protocols and Architectures | 3 | 0 | 5 |
| 321-11000 | Cloud Technologies | 3 | 2 | 5 |
Cycle 5: Information Management and Intelligent Systems |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-10200 | Information Retrieval | 3 | 0 | 5 |
| 321-9250 | Data Mining | 3 | 2 | 5 |
| 321-6050 | Intelligent Recommender Systems | 3 | 0 | 5 |
| 321-6600 | Computer Vision | 3 | 2 | 5 |
Cycle 6: Computer Science Foundations |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-99000 | Numerical Analysis | 3 | 0 | 5 |
| 321-8000 | Game Theory | 3 | 0 | 5 |
| 321-9850 | Mathematical Modeling | 3 | 0 | 5 |
| 321-9000 | Forecasting Techniques | 3 | 0 | 5 |
Optional courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-2630 | 3 | 2 | 5 | |
| 321-7600 | 3 | 0 | 5 | |
Semester 9
Cycle 1: Information and Communication Systems Security and Privacy |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-99100 | Regulatory and Social Issues in Information Society | 3 | 0 | 5 |
Cycle 2: Information Systems and Entrepreneurship |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-5400 | Information Systems Strategy and Investment | 3 | 0 | 5 |
| 321-8200 | E-Commerce Technologies and Applications | 3 | 0 | 5 |
Cycle 3: Computer and Telecommunication Technologies |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-3250 | Internet of Things | 3 | 2 | 5 |
| 321-10650 | Satellite Communications | 3 | 2 | 5 |
| 321-8650 | Optoelectronics | 3 | 2 | 5 |
| 321-6550 | Multimedia | 3 | 2 | 5 |
Cycle 4: Communication Systems and Networks |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-9400 | Sensor Networks | 3 | 2 | 5 |
| 321-9120 | Design and Development of Mobile Computing applications | 3 | 2 | 5 |
Cycle 5: Information Management and Intelligent Systems |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-9450 | Applied Topics in Data Structures and Databases | 3 | 0 | 5 |
| 321-7400 | Knowledge Engineering and Knowledge Systems | 3 | 0 | 5 |
Cycle 6: Computer Science Foundations |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-10000 | Algorithms and Combinatorial Optimization | 3 | 0 | 5 |
Optional courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-2600 | 3 | 0 | 5 | |
Semester 10
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-7100 | Degree Thesis | 30 | ||
| Title | Electronics |
|---|---|
| Lesson Code | 321-7900 |
| Semester | 4 |
| ECTS | 5 |
| Hours (Theory) | 3 |
| Hours (Lab) | 2 |
| Faculty | Mesaritakis Charis |
Syllabus
Nonlinear elements and circuits. Analysis of nonlinear circuits: analytical solutions, graphical analysis, piecewise linear analysis, incremental analysis. Diodes: semiconductor diode characteristics, analysis of diode circuits, method of assumed states. Dependent sources and the notion of amplification. Actual MOSFET characteristics – the Switch Unified (SU) MOSFET model. The MOSFET amplifier: biasing the MOSFET amplifier, the amplifier abstraction and the saturation discipline. Large-signal analysis, operating point selection. Small-signal analysis. The Operational Amplifier (Op Amp): the Op Amp model, the non- inverting Op Amp, the voltage follower, inverting Op Amp, simplified method for analyzing circuits with Op Amps, adder, subtracter, differential amplifier. Analog-to-Digital and Digital- to-Analog conversion.
Learning Outcomes
This is an introductory course on analog electronics. It aims at familiarizing the students with nonlinear electrical elements and circuits, as well as their analysis methods. It also introduces the students to the concepts of analog transistor behavior, analog electronic circuits, their analysis methods and amplifiers. A student who successfully fulfills the course requirements will have demonstrated:
- An ability to identify nonlinear electrical elements and circuits, and to analyze them by applying various analysis methods, namely, analytical solutions, graphical analysis, piecewise linear analysis and incremental analysis.
- An ability to understand the semiconductor diode characteristics and perform analysis of diode circuits by applying the method of assumed states.
- An ability to understand the actual behavior of MOS Field Effect Transistors (MOSFETs) and define the Switch Unified (SU) MOSFET model.
- An ability to understand how the MOSFET operates as an amplifier, what is amplifier biasing and how it is achieved, and what is the saturation discipline.
- An ability to apply the appropriate type of analysis (large signal or small signal) for determining the behavior of amplifiers depending on the magnitude of the swing of their input signals.
- An ability to understand the basic concepts of Op Amps and analyzing simple Op Amp circuits.
- An ability to understand the basic concepts of Analog-to-Digital and Digital-to-Analog conversion.
Prerequisite Courses
Not required.
Teaching and Learning Methods
Lectures, resolving exercises, Laboratory Exercises.
| Activity | Semester workload |
|---|---|
| Lectures | 39 hours |
| Laboratory Exercises | 26 hours |
| Personal study | 54 hours |
| Laboratory Exams |
3 hours |
| Final exams | 3 hours |
| Course total | 125 hours (5 ECTS) |
Language of Instruction and Examinations
Greek, English (for Erasmus Students)
Delivery Mode
face to face