8th International Week “Internet Communication Management”

23-27 April 2018



No. Course (Course Acronym) Lecturers Hours ECTS / level
1 Big Data Analysis and Knowledge Engineering (BDAKE) Prof. dr Salem Abdel-Badeeh, Ain Shams University, Cairo, Egypt;

Prof. dr Yuh Wen Chen, College of Engineering, Da Yeh University, Dacun, Taiwan ROC;

16 3/

Master level

2 Augmented Reality in Business and Education (ARBE) Dr Almagul Assainova, S.Toraighyrov Pavlodar State University, Pavlodar City, Kazakhstan;

Dr Ilderberto Rodello, University of São Paulo (USP), School of Economics, Business Administration and Accounting , Ribeirão Preto (FEA-RP), Monte Alegre, Brazil;

16 3/

Bachelor level

3 Information Seeking and Storage(ISS) DrPetros Kostagiolas, Ionian University, Corfu, Greece;

Dr El-Sayed M. El-Horbaty Computer Science Department, faculty of computer science and Information Sciences, Ain Shams University, Cairo, Egypt;

16 3/

Bachelor level

4 Software Development Solutions and Standards (SDSS) Prof. dr Alena Buchalcevova, University of Economics Prague, Czech Republic;

Dr Irida Gjermeni, Agricultural University of Tirana, Tirana Albania;

16 3/

Bachelor level

5 Decision Making Models and Forecasting Techniques(DMMFT) Prof. dr Chin-Torng Lin, College of Management, Dayeh University, Dacun, Taiwan, ROC;

Prof. dr Teofana Puleva, Technical University of Sofia, Sofia, Bulgaria;

16 3/

Bachelor level

6 Production and PublishingManagement (PPM) Dr Christina Banou, Ionian University, Corfu, Greece;

Prof. dr Taicir Moalla ep Loukil, Faculty of Economic Sciences and Management of Sfax, Tunisia;

16 3/

Bachelor level

7 Threats and Security (TS) drPetr Wawrosz, University of Finance and Administration, Prague, Czech Republic;

dr Galia Marinova, Technical University of Sofia, Sofia, Bulgaria;

16 3/

Bachelor level

8 Strategies and Industrial Evolution (SIE) Prof. dr Héctor Godoy Hernández, Universidad de Ibagué, Colombia;

Prof. dr Sabrina Schneider, University of Kassel, Germany;

16 3/

Bachelor level

9 Business Modelling (BM) Prof. dr Maged Iskander, The British University in Egypt, Cairo, Egypt;

Mahdi Kleibo, Bethlehem University, West Bank, Palestine;

Piia-Pauliina Mäntysaari, Seinäjoki University of Applied Sciences, Seinäjoki, Finland

21 3/

Bachelor level

10 Cross-culture and Multi-culture Communication (CMC) dr Turkana Allahverdiyeva, Baku Business University, Baku, Azerbaijan;

dr Fernando Yanine, Universidad Finis Terrae, Santiago, Chile;

dr Younis Zeinab, The British University in Egypt (BUE), Cairo, Egypt;

21 3/

Bachelor level

11 Decision Modeling in Project Management (DMPM) Prof. dr Anastasia Nikitaeva, Faculty of Economics, Southern Federal University, Rostov-in-Don, Russian Federation;

Prof. dr Vera G. Meister, Business Information Systems and Knowledge Management at Brandenburg University of Applied Sciences , Brandenburg, Germany;

16 3/

Bachelor level

12 Creativity Process in Marketing Communication (CPMC) Prof. dr Łukasz Wojciechowski, University of Ss. Cyril and Methodius, Trnawa, Slovak Republic;

Prof. dr Katarina Fichnová, Constantine the Philosopher University, Nitra, Slovak Republic;

16 3/

Bachelor level




No Course (Course Acronym) Course Outline
1 Big Data Analysis and Knowledge Engineering (BDAKE) – Master level The course consists of two parts covering the following topics:

A. Knowledge Engineering for Intelligent Decision Support Systems:

  1. Introduction to Artificial Intelligence Technology,
  2. Knowledge Management and Representation Techniques ,
  3. Reasoning Techniques and Methodologies,
  4. Ontological Engineering,
  5. Knowledge-Based Systems and Expert Systems,
  6. Data Mining and Knowledge Discovery,
  7. Some examples of intelligent decision support systems in Economy, Banking,Medicine, e-Learning, and Law,
  8. B. Big Data Analysis and Artificial Intelligence:
  9. Introduction to Big Data Analysis and Artificial Intelligence ,
  10. Some Mining Tools in Data Science (including R tutorial and evolutionary algorithms),
  11. The state of art from Taiwan (including how to collect the information from tooling machines in factory, and AI in healthcare),
  12. Team Project from Big Data Analysis and Artificial Intelligence.
2 Augmented Reality in Business and Education (ARBE) Nowadays, the Virtual Reality and Augmented Reality (VR/AR) techniques have been applied to several areas of knowledge. The interest is increasing by industries mainly due to the attractive features of VR/AR for marketing and sales purposes. In addition, it is possible to apply VR/AR technology for training, prototyping, product developing and manufacturing operations, among other business scenarios.

Educational robotics refers to a growing study field with the potential to significantly impact the nature of science and technology education at all levels, from kindergarten to university. It is a set of activities, tools, platforms and other educational resources engaged to improve the learning quality.

Both technologies (AR and Robotics) are pillars of Industry 4.0 concept and are pointed as potential technologies to the future.

Concerning these opportunities, the objectives of the course are to provide the student a competence of:

  • Comprehend and analyze the fundamental development issues of VR/AR environments, and Educational Robotics
  • Explore, critique and deconstruct VR/AR experiences for businesses applications,
  • Be able to explain what resources and skills are required to create a virtual environment,
  • Acquire knowledge in the field of construction of mini robots and their programming, control and correction, teaching methods of educational robotics.

The students will learn basic skills in the following areas:

  • Proposing strategies for VR/AR usage in industries,
  • Developing and deploying techniques for VR/AR applications,
  • Analyzing and criticizing the VR/AR development for business scenarios.
  • Understand the basics on robots development for educational purposes.
3 Information Seeking and Storage (ISS) Course Participants should understand the following:

  • The nature and the value of information in reducing uncertainty in work related decision making
  • Comprehending the role and impact of information seeking behaviour in an interdisciplinary viewpoint.
  • The role and significance of Information Literacy
  • Models of information seeking behaviour
  • Overview of research literature in information seeking behaviour for job satisfaction and work performance
  • Opportunities and consequences of information storage in clouds
4 Software Development Solutions and Standards (SDSS) The course consists of two parts. The first part concerns techniques of software developments and standardization, so it covers the following subtopics: current state of IS development, categorization of methodology elements, ISO/IEC 12207 process reference model, CMMI process reference model, capability evaluation according to ISO/IEC 15504, ISO/IEC 29110 for very small entities, life cycle models, IS development methodologies, rigorous methodologies, iterative (Rational Unified Process), agile methodologies, especially Scrum, Feature Driven Development (FDD), Extreme programming (XP), OpenUP, Kanban, scaling of agile methods (DAD, Less, SAFe), and approaches to selecting the right method.

The second part will be divided in three sessions. The first session will be provided to explain the importance, types and use of web services. Students will learn how to implement a web service using Visual Studio. The second session will be provided to explain base c# syntaxes. In third session, students will learn Asp.Net web forms and web services usage.

5 Decision Making Models and Forecasting Techniques (DMMFT) The course consists of two parts. The first part provided by Prof dr T.Puleva will be on:

  • Forecasting techniques. The lecture will focus on several approaches in forecasting: regression analysis, moving average technique and exponential smoothing.
  • Application examples in energy systems.
  • Decision making under risk and uncertainty. The lectures will focus on expected value criterion, expected value-variance criterion and aspiration level criterion and several criteria for decision making under uncertainty for project, production and operations management.

The second part will be provided by Prof. dr Chin-Torng Lin. The issues included in that part will be as follows:

  • Introduction to Mutli Criteria Decision Making in Management
  • Some methods for Mutli Criteria Decision Making in Management (including Fuzzy Decision Making Trial and Evaluation Laboratory, Fuzzy Weighted Average Technique )
  • Research and paper writing for Decision Making
  • Team Project for Mutli Criteria Decision Making in Management
6 Production and Publishing Management (PPM) The Course consists of 2 parts:

The first part on “Information in the Publishing Industry: Communication, collaboration, reader engagement and the role of information communication technologies in developing the publishing value chain” aims:

  1. The Understanding, Interpretation and Discussing of the Following:
  • Changes and main features of the publishing industry nowadays
  • The impact of information and communication technologies in the publishing industry from the point of various stakeholders (publishers, authors, readers, editors, booksellers etc.)
  • Reader engagement, reader participation
  • Reader engagement and publishers’ promotion strategies
  • The role of social media in creating communities of readers
  • The publishing chain as information publishing chain-circle.
  • Promotion strategies and the role of the reader
  • Communication between publishers, authors and readers
  • Personalized publishing services
  • Information as an agent of change in the publishing activity
  1. Discussion of a methodological framework
  • Case studies.

The second part will be on production management and scheduling. The course part aims to communicate the main concepts, approaches and practical tools associated with the management of business processes in business and the flow of products and services that result. Special emphasis will be placed on short, medium and long-term planning and production scheduling to improve operating productivity and ensure the flow of products and services.

7 Threats and Security (TS) During the course students will have opportunity to discuss on different kind of threats in economics and business organizations. The first part of the course will give student basic information about economic theory of corruption and possibilities how to measure intensity of economic development. The second part will be not only about threats, but also on security issues. So, the course aims to introduce to students the newest aspects of cybersecurity, concerning IoT, Industry 4.0, cryptocurrencies and to explicit the role that pseudo-random bit and number generators are playing in this area.
8 Strategies and Industrial Evolution (SIE) The course consists of two parts. The first one on Strategy and strategy operationalization includes the following issues:

  • Information as a Strategic Resource.
  • Strategy-Based Organizations.
  • New approaches to Management.
  • Best practices used by strategically managed organizations

The second part focuses on business models, which have become a popular and powerful concept in corporate practice to describe, run and develop a firm’s value creation and capture. Furthermore, business models emerged as new unit of analysis for innovation in consequence of firms’ need to adapt and innovate their established business models. A new stream of academic research at the intersection of strategy, organization, entrepreneurship, innovation and technology management has emerged. Participants will become familiar with the state-of-the art in research on business models and business model innovation. They will learn to understand and reflect different business model understandings and their particular use cases. Furthermore, they will learn about the particularities of special business model types such as sharing economy, digital platform, and social or open business models with a special consideration of the impact of digital technologies.

9 Business Modelling (BM) The course consists of two modules. In particular, the first module subtopics will be as follows:

  • Concept of modelling in decision analysis, Linear programming.
  • Network analysis, Regression analysis, Time series analysis, and
  • Implementation of modelling by computer.

The issues considered in the second module are following:

Introduction to Entrepreneuship and Human Resource (HR) Management

  • Equal Opportunity and Laws in HR Management
  • The Managers Role in Strategic Human Resource Management
  • Job Analysis
  • Personal Planning and Recruiting
  • Employee Testing and Selecting
  • Interviewing Candidates

The third part will by on Digital Business and Digitalization Changes Competencies

10 Cross-culture and Multi-culture Communication (CMC) The course consists of three modules, which objectives are as follows:

  • objectives of the first module:
  • to share experience and knowledge with international Erasmus students from different countries;
  • to make an effective dialogue in multi-cultural environment;
  • to improve communication and dialogue skills;
  • to make students familiar with the secrets of Caucasus region;
  • to share information, culture and global values with international audience;
  • objective of the second module:
  • offering of the new perspective and insight on market driving factors in Latin American and Chilean Industrial Organizations,
  • objectives of the third module:
  • explanation of the basics and tool of communication to understand and manage individuals and groups from different culture within different organizations. The applications for this module extend to almost all other branches of management.
11 Decision Modeling in Project Management (DMPM) The aim of the course is to provide:

  • An understanding of the nature of the IT project, project life cycle and an appreciation of the impact of risk and uncertainty on project outcomes;
  • An introduction to project planning and various techniques used in the planning, structuring, evaluation, and implementation of projects;
  • Participants with the tools and skills necessary to manage IT projects;
  • A holistic view of IT project management,
  • Providing students with practical competencies in modeling and technical implementation of operational rules in the context of business processes using the OMG specification Decision Model and Notation (DMN 1.1)

During the course, students are acquainted with the OMGs standard specification for decision modeling and implementation DMN 1.1. The students are capable to analyse business use cases of operational decision described by business rules and specify the decision with the help of decision requirements diagrams. The students are capable to model technically the decision logic with the help of DMN decision tables. The students can use a simulation tool to test technically implemented business-rule-based operational decisions.

12 Creativity Process in Marketing Communication (CPMC) Course Content:

  • Creativity in marketing communication, criteria of creativity,
  • Training of creative skills – principles and focus, methods, divergent thinking, lateral thinking and effects of training (Research). Synergic and inhibitory effects of the team’s creative work, creative climate (CCQ Ekval).Training of creative skills – verbal and figural creativity tasks.
  • Guerilla marketing principles and focus. The term of Guerilla marketing (historical context). Characteristic of Guerilla marketing in context of marketing, Selected forms of Guerilla marketing (ambient marketing, ambush marketing, astroturfing marketing, undercover marketing, tissue-pack advertising, presume marketing, wild posting, experiential marketing, viral marketing, presence marketing and alternative marketing),
  • Definitions of Ambient advertisement. Characteristic of Ambient advertising. Ambient marketing essence and creativity,
  • Case studies in the V4 countries. Ambient campaigns,
  • Electronic vs. classic brainstorming – designing for collaborative creative problem solving. Cultural difference and adaptation of communication styles in computer-mediated group brainstorming. The creative process in the virtual world in the development of ambient campaign,
  • Work in group, preparing draft of project.