Undergraduate
studies

Upon completion of the course students will be able to:
• Know, understand and explain the principles of designing an interface system.
• Design user-friendly interface systems for any application.
• Implement user interface systems in a visual programming language.
• Evaluate the usability of interface systems developed by others.
• Identify the capabilities that one can expect from human users for designing improved, future interactive systems.
• Understand and classify tasks hierarchically.
• Apply hierarchical task analysis.
• Understand the importance of having help in an interactive interface system.
• Recognize the forms of help that can be provided in an interactive interface system.
• Design and develop easy-to-use help in an interactive interface system.
• Recognize the various user manuals that come with an interactive software.
• Analyze and compose clear instructions for use in interactive software.
• To compile, based on the above, the necessary user manuals that accompany an interactive software.
• To know, understand and explain theoretical models of interaction.
• Understand and implement the stages of the Norman model.
• Analyze alternative ways of designing interactions of an interface system according to Norman's model.
• Suggest and evaluate alternative ways of designing interactions of an interface system.

By the end of this course students will be able to:
1. Identify the role and influence of information systems in the various functions of businesses.
2. Understand the concepts of information systems, not only from the perspective of Management Information Systems, MIS, but also from the perspective of Systems Analysis & Design, SAD.
3. Identify the modules of a information systems and the most important types of information systems that are utilized by the organizations and companies today.
4. Know the methodologies of analyzing user requirements and their transformation in system design.
5. We able to use UML for designing different models of IS.
6. Understand the ways that the aforementioned techniques lead to software development
7. Identify the basic principles in designing and developing an IS.
8. Clarify the basic methodologies designing and developing IS.
9. Getting familiar with different information systems that are utilized within the context of a “digital business”, e.g. Enterprise resource planning (ERP), Supply chain management (SCM) systems, decision support systems (DSS).

Upon successful completion of the course students are expected to:
1. Have familiarized themselves with methods of searching, hierarching and evaluating the validity and reliability of data sources.
2. Be able to prepare a scientific scheme, identifying ta building blocks (main problem, general interest, special purpose, research hypotheses, theoretical framework, selection of research methodology etc).
3. Compose a scientific paper, using data from different/conflicting sources, critically evaluating their scientific validity and the subject under study.
4. Utilize several methods of quoting bibliographic references, selecting the most appropriate in each case, acknowledging the uniformity of citations as an absolute rule of scientific writing.
5. Organize their material, observing the generally acceptable structure of a scientific publication, in a homogeneous yet personal manner, to the extent that it does not lead to bias.
6. Be able to critically analyze conflicting sources of information, check their validity and distinguish those which are subjective and / or unsubstantiated from the empirically substantiated ones.
7. Understand and observe the scientific moral code in data collecting methods as well as in writing a scientific publication.

Upon successful completion of the course, the students:
• will have understood the architecture and organization of modern processors.
• will know the basic performance mechanisms of modern processors.
• will be able to use modern processor simulators and run/evaluate assembly programs.
• will be able to analyze the performance of computer programs and provide optimization tips to the programmers. • will be able to estimate the parameters that affect the performance and power consumption of a modern computer. • will have been updated about current research issues in the field of computer architecture.

With the successful completion of this module students will be able to:
1. Identify the basic concepts of wireless networks.
2. Introduce various wireless systems and standards and the basic cases of their operation.
3. It knows the principles of signal propagation and configuration and distinguishes the types of interference in the wireless environment of mobile communications.
4. Analyze traffic theories, and models of mobile radio radio-propagation, channel coding, and cellular communications issues
5. Model radio spectrum issues and analyze their impact on the performance of the communications system
6. Understand spectrum allocation techniques in multi-user systems and their impact on network capacity
7. Compare and contrast multi-access techniques in mobile communications systems, as well as wireless networks
8. Categorize network protocols, ad hoc and sensor networks, wireless MANS, local networks, and PANs.
9. Learn to simulate wireless networks and analyze simulation results
10. Analyze and propose broad solutions for a range of mobile communications scenarios

Upon completion of the course students are expected to:
1. understand and apply the basic principles of logical programming,
2. be able to develop an application in a Prolog language environment,
3. be able to integrate Data Structures into a program written in Prolog,
4. know and apply search strategies in programs written in Prolog,
5. be able to apply techniques of retrospective programming, split logic programming, parallel logical programming and meta-logical programming,
6. be able to develop meta interpreters and other advanced applications using the Prolog language.

Upon the successful completion of the course, the students will be able to:
• Understand topics related to the physical organization of Databases and the internals of a Database Management System (DBMS)
• Exploit on the above knowledge in order to be able to develop methods and tools over a DBMS
• Optimize queries using the theoretical background of query processing and optimization
• Get familiar with state-of-the-art DBMS architectures

Upon successful completion of the course the students will be able to:
• Assess the security that is offered by an encryption algorithm
• Identify and categorise the types and used of encryption algorithms
• Select the proper algorithm and the parameters for the proper mode for its successful use
• Develop/apply an encryption algorithm
• Understand in depth the applications and the protocols of cryptography
• Know the methods and parameters for the design and development of a protocol
• Trace and assess possible protocol vulnerabilities
• Use the above for the development and testing of programs.

Upon completion of the course, the students will be able to:
• Formulate and solve convex optimization problems.
• Distinguish the basic principles and concepts of non-linear programming, integer programming and dynamic programming.
• Recognize and model non-linear programming and integer programming problems.
• Distinguish the basic principles and concepts of non-linear programming, integer programming and dynamic programming.
• Identify and model non-linear programming and integer programming problems.
• Understand and use discrete optimization algorithms as well as integer programming algorithms.
• Apply the method of Lagrange multipliers.
• Recognize the relationship between the primal and dual models as well as the existence of a duality gap.
• Express the Kuhn ‐ Tucker optimality conditions.
• Identify and implement approximation techniques for solving mathematical problems.
• Model dynamic programming problems by breaking down a multi-stage decision-making problem into sub-problems, to formulate the retrospective relation of the problem and to determine its optimal solution.
• Model dynamic programming problems by breaking down a multi-stage decision-making problem into sub-problems and determine the optimal solution.
• Utilize optimization techniques for inventory management.
• Calculate inventory costs, storage and management issues and control supply as well as to control supply and demand.
• Recognize the issues relating to the planning and operation of the supply chain.
• Model and solve supply chain management problems.
• Model and solve facility location problems.
• Analyze real decision problems and construct the mathematical models that describe them, considering all the parameters and constraints of the given problem.
• Select and apply the appropriate optimization techniques and algorithms for solving given problems.
• Completely solve a mathematical programming problem either on paper or by using the appropriate software.
• Interpret the results obtained from the solution of a mathematical programming problem. • Use specialized optimization tools such as Matlab Optimization Toolbox.
• Use specialized software of data and results visualization (Matlab, Graph, GeoGebra).

Upon completion of the course, students will be able to:
1. Identify the capabilities and limitations of theoretical computation models.
2. Identify the inherent difficulty of a problem.
3. Formally prove that there is no fast algorithm to solve a difficult problem, in all likelihood.
4. Determine the space requirements of problem for its solution.
5. Evaluate alternatives given the aforementioned requirements.
6. Assess whether a problem is solvable by Computers or not.

The course aims to develop basic skills regarding the modeling and mathematical analysis of systems, emphasizing Information and Communication Technologies (ICT) systems using Queuing theory's theoretical approaches. After the lectures, the students are expected to:
• describe the fundamental features of Queuing theory
• be able to analyze and model, with the appropriate technical tools, queuing systems,
• be able to use relevant system simulation techniques to control the performance and service rates of a system;
• be able to answer practical questions related to Queue Theory, such as 1) how long each customer waits on average in a queue system, 2) What is the average queue length formed 3) what will be the reduction, on average, in the service time of the system if an additional server is added etc.
• be exposed to the modern approaches regarding the analysis and modeling of Queuing systems, both in theory and practice.

Upon successful completion of the course students:
1. Compose letters, CVs and / or emails for:
- reservations
- enquiries and replies to enquiries for services, prices, etc.
- orders
- credit
- payments and payment recovery
- agencies
- insurances
- banking
- Job finding
2. Understand the terminology regarding the aforementioned units
3. Translate texts from English to Greek and vice versa
4. Recognize important information contained in scientific articles related to their field of study.
5. Use the above mentioned for writing their scientific projects as part of their course requirements.
6. Attend international conferences in cutting-edge fields related to their scientific subject.
7. Process and understand authentic texts on issues related to venture capital, graphic representations, business research, commercial enterprises, small and medium enterprises, payment methods, etc.

Upon successful completion of the course students are expected to:
• Have an exceptional knowledge of the French language in written and oral form.
• Compose specialized text.
• Translate text of general and specialized content to and from French.
• Comprehend scientific articles.
• Collect information from such sources and incorporate it in the scientific paper they are expected to present.
• Know basic functions and capabilities of software for machine translation.
• Be able to translate text concerning the scientific field of Informatics.