Τμήμα Εφαρμοσμένης Πληροφορικής
Σχολή Επιστημών Πληροφορίας

Program of studies




acad.year 2015-2016

Applied Informatics - Technology Management: 1st year
[Semester 1] [Semester 2] 
AI - Applied Informatics
[Semester 3] [Semester 4] 
[Semester 5] [Semester 6] [Semester 7] [Semester 8] 
TM - Technology Management
[Semester 3] [Semester 4] 
[Semester 5] [Semester 6] [Semester 7] [Semester 8] 

Semester 7
Study Direction: TM - Technology Management   


ADVANCED INFORMATION SYSTEMS (ΔΤ4504) up.gif
Tambouris Efthimios     

Objective
In this course advanced technologies and applications are presented along with their influence in modern organizations. Lecturing is based on understanding state-of-the-art technologies along with their adoption by modern organizations as well as investigating relevant organizational change from this adoption. The technologies under investigation will be based on current technological progress and may include amongst others Web 2.0, Web 3.0, Semantic Web etc. Workshops will be based on relevant open source platforms and case studies.
Content



BUSINESS MODELLING (ΔΤ4502) up.gif
Vergidis Konstantinos     

Objective
During the course, students become familiarized with theories, principles, methodologies, tools and use cases related to Business Modelling (BM). The BM area is placed vis-a-vis Model Driven Architecture and Design (MDA/MDD) as well as to the relevant courses of Enterprise Architectures and Information Systems Analysis and Design. The course focuses on process and data modelling. Several formalisms and tools are presented. Real world use cases will be analyzed and process/data models will be drafted by the students.
Content



COMBINATORIAL OPTIMIZATION (ΔΤ4302) up.gif
Sifaleras Angelo     

Objective
Introduction to network optimization models and integer programming, and more specifically in problem modelling and network optimization applications for the design of large-scale networks. The shortest path problem, the minimum spanning tree problem, the maximum flow problem, and the minimum cost network flow problem. Furthermore, the student will be introduced to modelling and solution techniques for integer programming problems, branch & bound algorithm, dynamic programming, and special problems such as the Steiner tree problem and the traveling salesman problem (TSP). The student, apart from the methodology in each section, will learn how to use state-of-the-art optimization software packages such as the CPLEX & Gurobi solvers and the modelling language AMPL.
Content



COMPUTERIZED ACCOUNTING (ΠΛ0803) up.gif
Stavropoulos Antonios    Vazakidis Athanasios     

Objective
Content



CONVERGENCE OF COMMUNICATION SYSTEMS (ΔΤ4702) up.gif
Psannis Konstantinos     

Objective
Students are familiarized with the communication systems convergence: telecommunications and mass media convergence, the convergence of communications networks and value-added services, convergence of information and communication technologies, next-generation access networks convergence, the convergence of business models and high-speed networks,  the challenges for enterprises in convergence of communication systems, TV-Computers-Networks convergence. Furthermore the new regulatory challenges, the pricing of new services, the impact of the new regulatory framework of the EU to the new network infrastructure and services, the effects on consumers, several examples of beneficial use of next-generation access networks, the impact of communication systems convergence in corporate strategy and governance systems will be presented in details.  In the laboratory we will develop dynamic programming algorithms for efficient data transmission in convergent telecommunications systems. Also during the theoretical course special emphasis will be given in R&D projects in the area of communications systems convergence.
Content



DECISION MAKING MODELS (ΔΤ4303) up.gif
Sifaleras Angelo     

Objective
Introduction to problem solving and decision making in complex business problems, through the methodology of management science. The understanding of the decision models under risk and uncertainty, and their applications in technology management – case studies. Decision theory & criteria, expected value of perfect information, utility theory, decision trees & sensitivity analysis, introduction to game theory, performance measurement using data envelopment analysis (DEA). The student, apart from the methodology in each section, will learn how to use state-of-the-art software packages (e.g., Palisade DecisionTools Suite, DEA Solver).
Content



DIGITAL MEDIA COMMUNICATION SYSTEMS (ΠΛ0731) up.gif
Psannis Konstantinos     

Objective
Content



DIGITAL SYSTEMS' DESIGN AND PROGRAMMING (ΔΤ4601) up.gif
Kaskalis Theodoros     

Objective
Elective module subject aiming to provide full understanding about the process of producing and programming digital systems, from the phase of the initial concept idea to the point of the final product programming.
Content
Digital systems’ development: rationale, methodology and characteristics. Common practice methods, life cycle, practical matters regarding the necessary human resources and hardware infrastructure. Prototype development through FPGAs and microcontrollers. Schematic and PCB design through EDA tools. Enclosure design through CAD modelling tools. PCB and final product ordering and assembling. Microcontroller programming in C and assembly. Physical computing and issues of Human-Computer Interfacing. Development boards and kits and real-life prototype production.



ENTREPRENEURSHIP AND TECHNOLOGY INNOVATION (ΔΤ4404) up.gif
Fouskas Konstantinos     

Objective
During this course we will examine the concepts of entrepreneurship and innovation, focusing on their technological dimension. We will analyze the business process from conception to finding financial resources and launch of a start-up. It will also examine the concepts, procedures and practices of innovation, management modes and methods of assessment.
The presentations will be accompanied by actual case studies from both Greek and international business environment, while, speakers from leading companies and organizations with relevant experience will be invited.
The purpose of this course is to introduce students to the concept of entrepreneurship and innovation, they can develop innovative thinking and to equip and skills that will help them in their business pursuits.
Content
•             Introduction to Innovation •       Strategy and Technological Innovation •      Innovation Management and Practices •                Systems and innovation policies •            Creativity in the enterprise•        Introduction to Entrepreneurship •         Business model and business plan •          Analysis of competition and targeting,•          Development and management of groups and organizations • Financial Analysis and early stages operations



INNOVATIVE SERVICE AND PRODUCT DEVELOPMENT (ΔΤ4401) up.gif
Kitsios Fwtios     

Objective
The importance of new products and services, organization for new products and services, parallel parallel mechanics, product planning, customer demands, products and services specifications, generation and benchmarking of new ideas, product architecture, designing and manufacturing technologies, product life cycle management, promotion and advertisement of new products and services. Cases analysis.
Content



INTERNET LAW (ΠΛ0725) up.gif
Alexandropoulou Evgenia     

Objective
The lesson aims to familiarize students with the basic legal framework related to the Internet. It concerns the rights and obligations of Internet users, the enforcement of legal sanctions in the case of infringement of this, as well as the role of the Internet as a means of communication.ContentThe content concentrates on: the basic legal framework related to e-communications and more specifically to the Internet ; the confidentiality of  e-communications; personal data protection in e-communications; legal issues concerning blogs and social networks; domain names; copyright and the Internet;  e-crime.
Content



PARALLEL PROCESSING (ΔΤ4603) up.gif
Margaritis Konstantinos     

Objective
Students must be able to: a) design simple parallel algorithms and transform them to programs using a parallel programming language b) use parallel programming environments, debugging and performance evaluation methods. c) understand the differences and similarities of the two basic parallel programming models, that is shared and distributed memory architectures. Progarmming in OpenMP and MPI, using Eclipse PTP for visualization and performance evaluation.Content
Content
Introduction to Parallel ProcessingShared and Distributed Memory Parallel Systems Architecture.Data and Functional Parallelism.Data Partinioning.Load Balancing.Process Communication.Synchronous Parallelism.Replicated Workers.Distributed Termination Detaction.



SPECIAL CHAPTERS OF APPLIED STATISTICS AND QUALITY CONTROL (ΔΤ4304) up.gif
Nikolaidis Ioannis     

Objective
The purpose of this course is for the students to get to know and familiarize themselves with a number of special chapters of Statistics, Statistical Quality Control and, in general, Operations Research. This will be done through the use of PCs and simple or advanced software, like Excel and Minitab - Crystal Ball respectively. The students are introduced to this wide research area partly through theory and partly through working on case studies, using PCs. Finally, their knowledge is broadened through analyzing applied case studies.
Content
Introduction: discrete and continuous distributions, sampling distributions, central limit theorem, etc.



Thesis Project up.gif