Undergraduate
studies

Upon successful completion of the course the students will acquire the ability to:
• decide if a problem of low or medium complexity can be modeled as a linear programming problem.
• understand in depth the algorithms for solving general and special linear programs.
• determine the most appropriate linear programming model that is suitable for the given problem.
• identify the variables and the parameters that will compose the linear model of the given problem.
• use appropriate software to solve linear programs and interpret the results.

Upon successful completion of this course students will be able to:
1. Use integrated software development environments
2. Produce applications at an efficient and fast pace
3. Know the basic principles of the C # language
4. Debug software with the most modern tools
5. Develops software for a wide range of fields, including windows applications, console applications, web applications, and mobile applications
6. Exposed to modern programming techniques aimed at the quality of the software produced, as well as the speed of development of complex and complex programs / projects
7. Learn to evaluate and locate software implemented with visual programming tools

Upon completion of the course students are expected to:
1. Know the basic concepts and principles of Operating Systems (O.S),
2. Be able to describe the architecture, the structure and to distinguish the main categories of O.S.,
3. Define and understand the concepts of process and thread,
4. Will be able to utilize threats and processes to support multiprocessing,
5. Recognize computing deadlock conditions and understand ways of avoiding them during multiprocessing,
6. Be able to list CPU scheduling algorithms,
7. Describe memory managements systems and algorithms, such as memory paging and virtual memory,
8. identify the main memory management techniques, such as memory swapping and memory virtualization,
9. They will be familiar with virtual memory management and paging algorithms,
10. Distinguish and categorize file and directory management commands,
11. Will be able to determine the Input / Output system of an O.S.

With the successful completion of the course, the student will be able to:
• Understand and explain the concepts of language and grammar along with the respective symbolism.
• Understand and explain different ways of defining syntax (BNF, EBNF, syntactic diagrams).
• Understand and explain what a sentence and a derivation procedure is.
• Generate symbol strings for a grammar and create the syntactic tree of a derivation procedure.
• Understand regular expressions and the respective FLEX declarations.
• Understand stack automata, both the deterministic and non-deterministic ones.
• Use a stack automaton for pattern matching.
• Construct the minimum finite deterministic automaton given a regular expression.
• Understand, explain and apply syntactic analysis procedures.
• Understand, explain and compute the FIRST, FOLLOW, EMPTY, LOOKAHEAD sets and functions, construct predictive syntactic tables and recognize LL(1) grammars.
• Parse a symbol string given a syntactic analyzer.
• Compute priorities among symbols of a grammar.
• Construct the matrix of symbol priorities given a grammar.
• Understand, explain and compute the LEFT, RIGHT sets of a grammar.
• Understand the fundamentals of semantic analysis.

After successfully completing this course, students will:
• have aquired the basic knowledge of concepts in Probability Theory and Statistics.
• understand and recognize the fundamental distributions describing stochastic phenomena.
• be able to select the appropriate tools from the theory in order to study stochastic phenomena.
• have become fluent in encoding stochastic problems using random variables.
• be able to apply the methodologies of Descriptive Statistics in order to process and display statistical data.
• be able to correlate and transform statistical data.
• be able to perform parameter estimation using various Statistical Inference methodologies.
• know how to perform statistical tests and infer useful conclusions on the given data.

Upon completion of the course, students will be able to:
1. understand basic definitions and basic theorems regarding directed and undirected graphs.
2. understand basic techniques for proving theorems in graph theory.
3. apply algorithms related to, for example, graph traversal, time planning, topological sorting, construction of decision trees.
4. model several algorithmic problems as graph problems.

At the end of this course, students will be able to:
• identify the internal and external environment of organizations,
• understand the role of the manager
• describe the 4 basic management functions
• identify and set organizational goals and objectives
• plan business actions and make decisions
• identify and understand the constituents of leadership so that they can portray relevant behavior at work through the processes of influence (communication, motivation, power)

Upon successful completion of the course the student is expected to:
1. Know the different pedagogical approaches and teaching methods/techniques relevant to their scientific field, along with the learning in the content of didactic methodology.
2. Distinguish the basic concepts of each pedagogic approach, by comparing their main characteristics and focusing on the adoption of the most appropriate for a specific teaching / learning process.
3. Be able to utilize the main ideas of Pedagogics in order to design an efficient learning environment
4. Know the plethora of Didactics methodologies that stimulate the learning process
5. Distinguish, to critically interpret and take into consideration several factors (age, pre-existing cognitive background, special education needs, multiculturalism, etc.) in order to successfully apply the most appropriate combination of methods for an effective teaching, pedagogical and learning approach.

Upon completion of the course, students will be able to:
1. Understand the interaction of law with new technologies.
2. Apply the protection of personal data, in particular in the light of the new General Data Protection Regulation.
3. Ensure the confidentiality of communication.
4. Manage applicable law in online shopping.
5. Recognize the issue of mediators' liability.
6. Identify and safeguard the issue of liability of internet service providers, social media page managers, etc.
7. Design and develop security mechanisms in Electronic Banking (e-Banking) and correction of failures, especially in cases of abnormal progress of procedures.
8. To know in depth the provisions provided for the legal treatment of spamming.
9. Discover ways to secure the probative value of emails.

Upon successful completion of the course students will be able to:

1. Understand and process texts and articles of interdisciplinary interest related to software design, use and optimization in companies, financial institutions, etc. Contact with different and varied uses of software makes students able to use their knowledge aiming at designing, expanding and selling software that covers a wide range of services such as productivity management, efficient personnel management, service facilitation, human resources optimization, productivity growth, decision making, time saving, investments, transactions, etc.

2. To be receptive to the promotion and implementation of innovative applications, designing or rebuilding new, more efficient applications, contributing to a more creative, internationally competitive market, along with promoting research in their scientific field.

Upon successful completion of the course students are expected to:
• Have an advanced knowledge of the French language in written and oral form,
• Comprehend specialized French texts from various sources (literature, scientific publications etc.), through which they develop an nterdisciplinary, overall skills development such as soft skills (conflict management, active hearing, cooperative-team spirit, etc.) as well as exchange of know-how in specialized topics of their scientific field.