Undergraduate
studies

With the successful completion of the course the student will be able to understand concepts such as:
• Network architectures: Switching, Circuit switching and packet switching, Network types (local networks, metropolitan networks, wide area networks, wired and wireless networks), Network topologies (grid, artery, ring, star).
• Performance measures: delay, bandwidth, bit rate, packet loss rate.
• Network design : Layering, Protocols and Standards, Connection-oriented and connectionless Services.
• The OSI reference model, the TCP/IP protocol stack, and the role of Standardization Organizations.
• Physical layer: analog and digital representation, Encoding and modulation, ,transmission media, Error Detection and Correction, Multiplexing.
• Data Link Layer: framing, error checking (ARQ protocols), flow control, second layer standards and protocols (DSL, ISDN).
• Multi-Access Control: addressing, multiple access with and without competition, local network technologies (Ethernet, Token Ring, Gigabit Ethernet), Repeaters, bridges, hubs and switches.
• Wireless local networks (wifi) and mobile networks (3rd and 4th generation).
• Switching Network applications: packet switching and virtual circuits, switches and internetworking; routing: distance vector routing and link statealgorithms, Congestion Control, IP protocol (addressing, OSPF and BGP routing protocols, fragmentation).
• Transport layer: (multiplexing/demultiplexing, reliable data transfer, flow control), congestion control and UDP and TCP.
• TCP congestion control
• Application layer: transfer-level service models, client-server model, peer-to-peer model, popular application-level protocols: HTTP, SMTP/POP3/IMAP, DNS.

Upon completion of the course, students will be able to:
1. Calculate the number of key operations in an algorithm.
2. Apply suitable algorithmic techniques for the solutions of computational problems that arise in the different application fields.
3. Understand the inherent difficulty of an algorithmic problem.
4. Decompose an algorithmic problem into its components.
5. Design and develop effective solution techniques.
6. Assess the solution quality of an algorithm, both analytically and experimentally.
7. Decide on the basis of the above and choose the optimal solution for each problem.
8. Analytically determine the time and space complexity of algorithmic techniques.
9. Implement efficient algorithms taking into consideration the specific implementation platforms.

Upon the successful completion of the course, the students will be able to:
- Understand topics related to the theoretical background of Databases, including Relational Algebra and SQL language
- Exploit on the theoretical knowledge gained in order to be able to design an Information System
- Use the ubiquitous SQL language at an advanced level
- Embed database design techniques and methodologies
- Have a global view, both from the research and the empirical perspective, in order to specialize in Information Systems and Databases.

Upon completion of the course students are expected to:
1. Be able to list the basic architectures for developing applications on the Internet and the World Wide Web, such as client-server and 3-tier architectures.
2. Know the basic technologies for the Internet and the World Wide Web such as IP, TCP, UDP and HTTP protocols, sockets technology, web servers and application servers.
3. Be able to develop web applications using an appropriate programming environment.
4. Be able to implement sockets programming (TCP sockets and UDP sockets).
5. Implement client-server applications.
6. Be able to integrate 3-tier architecture into their applications.

After the completion of this course the student will be able to:
1. Understand and define the notions of signals and systems
2. Classify signals in digital and analog and in continuous and discrete time
3. Identify and research the basic properties of systems, such as linearity, causality and time invariance
4. Identify the concept of the discrete and of the continuous Fourier transform
5. Design and implement the (periodic) sampling procedure
6. Apply the uniform (linear and nonlinear) quantization
7. Define the concepts of convolution, impulse response and transfer function of linear, time-invariant systems
8. Know and manage Analog and Digital Communication Systems
9. Use analog modulation: amplitude, angle (phase, frequency), pulse
10. Be aware of the concept of multiplexing
11. Analyze and evaluate the performance of systems under the presence of noise
12. Define and develop pulse code modulations systems
13. Apply the Shannon Hartley theorem
14. Detect binary signals
15. Program and implement transmissions in the basic zone
16. Use bandbass digital modulation techniques
17. Program with MATLAB (or equivalent software)

Upon completion of the course students will be able to:
• Describe and explain terms and concepts related to the use of ICT (Information and Communication Technologies) in education.
• Know and understand the benefits of ICT in education.
• Utilize web2.0 technologies in the educational process.
• Identify and interpret the terms CMS (Content Management System) and LMS (Learning Management System) and recognize their differences.
• Be able to identify if an application-system is a CMS or LMS.
• Operate existing educational software and platforms and be able to use them either as an adjunct to the teaching process of a knowledge domain, or to create e-courses.
• Integrate computer applications in the educational process.
• Propose solutions related to the use of ICT to improve the educational process.
• Recognize the features that an educational software should have.
• Compare educational software.
• Evaluate an educational software.
• Develop their own educational software.

Upon successful completion of the course the students would be able to:
• Understand Code Theory
• Classify the different methods
• Delve in their theory for exploiting them in the future in the scope of designing, developing and applying the corresponding code
• Explore alternative encodings
• Assess the amount of information that can be transferred through a communication channel
• Assess the randomness of a source
• Develop compression algorithms
• Detect and correct random errors in a signal during its transmission
• Detect and correct random errors in a file system due to physical damages

After successfully completing this course, students will:
• be able to use basic enumeration tools such as generating functions and Polya Theory.
• know the basic techniques for constructing combinatorial objects.
• be able to design and implement efficient algorithms for generating combinatorial objects.
• know the basic combinatorial tools used in search problems, optimization problems, in large discrete structures (internet, DNA, human brain), as well in algorithms analysis.

Upon successful completion of the course students will be able to:
• Understand the key concepts of strategy and the views and approaches developed in the literature and business practice.
• Learn how to use the techniques and methods of strategic analysis, to recognize their advantages and disadvantages.
• Determine how the strategy is shaped, given a number of strategic choices (which include: scope and type of activities, competitive strategy, strategy implementation through acquisitions / mergers / alliances / same development, and timing of strategy moves).
• Evaluate and select the best strategy options.
• Understand the importance of the strategy development and the role that the effective management, systems, human resources, values, and culture play in its successful implementation.
• Delve into strategic decision-making techniques and common mistakes in strategy design and implementation.
• Use the available software to set a strategic goal.
• Control and supervise the achievement of targets and goals through the collection, processing and analysis of data by employing strategic ways of using ICT, databases and electronic applications both in the virtual context of a business and in real cases.

Upon successful completion of the course students are expected to:
1. Have enriched their vocabulary with advance Informatics Terminology.
2. Compose specialized scientific text.
3. Have familiarized themselves with professional terminology and be able to seamlessly incorporate it in their oral and written communication.
4. Be able to use software for machine translation to and from French for specialized purposes.
5. Be able to analyze, distinguish and evaluate information derived from existing Databases of scientific content.
6. Process and synthesize derived information, making the most of appropriate processing systems.
7. Be able to utilize networks and evaluate collected data.
8. Exchange information and expertise through telematics.
9. Sort data by creating appropriate files.

By completing this course, students are expected to:
1. solve algebraic and differential equations,
2. compute the eigenvalues and eigenvectors of linear mappings,
3. identify, formulate and solve dynamical systems (autonomous and non-autonomous) in terms of the underlying differential equations that govern their behavior,
4. understand the notion of stability within the context of dynamical systems,
5. discriminate discrete and non-linear dynamical systems,
6. describe the chaotic behavior of a dynamical system,
7. acquire the ability to simulate and algorithmically solve non-linear dynamical systems for which it is impossible to derive the analytical expressions describing their time evolution,
8. understand and evaluate the conditions under which a dynamical system exhibits chaotic behavior,
9. study dynamical systems in a unified framework that combines both theoretical and practical understanding focusing on applications in physics, biology and economics.

Upon completion of the course, students will be able to:
1. understand the basic properties that result from the divisibility of numbers,
2. calculate the complexity of arithmetic operations,
3. apply the Euclidean and extended Euclidean algorithm,
4. solve linear Diophantine equations,
5. understand basic properties of the equivalency relations. They will be able to apply the Euler-Fermat theorems and the Chinese Residue Theorem. They will know the RSA algorithm,
6. calculate and use square residues, the symbols of Legendre and Jacobi,
7. apply prime number verification algorithms such as the Fermat criterion and the Miller-Rabin algorithm,
8. apply integer factorization algorithms such as Pollard algorithms and the quadrative sieve algorithm,
9. apply algorithms for calculating the discrete logarithm.

Upon successful completion of the course students are able to:
1. Understand authentic oral and written discourse for constructive communication and participation in international scientific and professional environments.
2. Acquire enriched knowledge of vocabulary and syntax in the context of scientific/academic writing addressed to international environments.
3. Understand and process authentic research papers and informative texts of interdisciplinary interest related to the utilization of Informatics in the fields of Product Promotion (Marketing, E-Commerce, etc.), bank operation and banking transactions through software, Operational Research, Accounting Software, Accounting , electronic Stock Market and financial monitoring applications, Pollution of the Environment etc.
4. Evaluate the content and the degree of documentation of the findings of the English research texts/papers.

Upon successful completion of the course students are expected to:
• Have an advanced knowledge (vocabulary, syntax, wording) of the French language in written and oral form, and have enriched their vocabulary with basic terminology of Informatics.
• Be able to use terminology of their scientific field and compose specialized text.
• Locate information in scientific articles and incorporate it in exercises assigned to them in other courses of their curriculum.
• Synthesize information from data collected in foreign language publications.
• Check the validity and critically evaluate the collected information in order to structure their arguments, wherever and whenever such an approach is deemed necessary.
• Focus on the important points and formulate their opinions.
• Compose articles in a well-organized manner, resulting in substantive conclusions and proposals.
• Write high class formal letters and CVs.
• Have oral and writing skills stating strong arguments even in cases of international negotiations.