Courses

7th International Week „Internet Communication Management”

24-28 April 2017

No. Course name (acronym) Teachers and their affiliations hours Study level
1 Selected Technologies of Knowledge Management (STKM) 16 2
Enterprise Knowledge Graphs (EKG) and Related Technologies Prof. dr Vera Meister , Brandenburg University of Applied Sciences, Germany
Clustering Algorithms in Pattern Recognition Prof. dr Marcin Grzegorzek, University of Siegen, Germany
2 Agile Solutions for Fast Changing Environment (ASFCE) 16 1
Project Management Prof. dr Shpresim Domi Agricultural University of Tirana, Albania
Project Management Agile Solutions Prof. dr Malte Beinhauer htw saar, University of Applied Sciences of Saarland, Germany
3 Social Media and Cyber Security (SMCS) 16 1
Social Media and Cyber Security: New Terms of the New Era Prof. dr Yigit Guzelipek Karamanoglu Mehmetbey University, Turkey
Software and hardware implementations and tests Prof. dr Galia Marinova Technical University Sofia, Bulgaria
4 Information Technologies for Supply Chain Management (ITSCM) 16 1
Role of Information Technologies on Supply Chain Relationships Prof. dr Daniel A. Glaser-Segura Texas A&M University-San Antonio, USA
Decision making in logistics by using operational techniques Prof. dr Lidia Sanchez Ruiz University of Cantabria, Santander, Spain
5 Innovation Development Challenges (IDC) 16 1
The Innovator’s DNA Prof. dr Song Younghack, SolBridge International School of Business Woosong Educational Foundation, Korea
Managing Innovation Prof. Jana Kadlubcova School of Business Administration in Karvina, Czech Republic
6 Intelligent Manafacturing (IM) 16 1
Intelligent Manufacturing and Arduino Basics Prof. dr Yuh Wen Chen Institute of Industrial Engineering and Management, Dacun Changhua, Taiwan,
Introduction to computer vision and recent advances using deep learning Prof. dr Yong Seok Heo Department of Electrical and Computer Engineering, Ajou University, Suwon, Republic of Korea
7 Building of Strategy Focused Organization (BSFO) 16 1
Strategic Communication Prof. dr Shelton Amiee Roger Williams University , Bristol, USA
Translate the Strategy to Operational Terms Prof. dr Héctor Godoy Hernández Universidad de Ibagué, Colombia
8 Data Mining and Classification (DMC) 16 1
Classification, determining the solidness of borrowers via creditscoring, automatic text classification Prof. dr Olha Kovalchuk, Ternopil National Economic University, Ternopil, Ukraine
Introduction to classification in Pattern Recognition Prof. dr Seyed Amir Hossein Tabatabaei University of Siegen, Germany
9 Knowledge Engineering for Decision Support Systems (KMDSS) 16 1
Knowledge Computing and Engineering for Intelligent Decision Support Systems Prof. dr Salem Abdel-Badeeh, Ain Shams University, Cairo, Egypt
Knowledge Based Intelligent Systems Prof. dr Mohamed Roushdy Ain Shams University, Cairo, Egypt
10 Pattern Recognition (PRC) 16 1
Introduction to data classification and clustering Prof. dr Marcin Grzegorzek University of Siegen, Germany
Clustering algorithm applications Prof. dr Muhammad Hassan Khan Research group of Pattern Recognition University of Siegen, Germany
11 Global Business Communication (GBC) 20 1
Cross-cultural Communication Prof. dr Hadia Fakhreldin The British University in Egypt (BUE), Cairo, Egypt
Communication Management Prof. dr Lela Abdushelishvili Caucasus University, Georgia
Global Marketing Management Effort Prof. dr Cesar Augusto Díaz Moya Universidad de Ibagué, Colombia
12 Mass Media Development (MMD) 16 1
Management of Communication using Google Drive Prof. dr Ana Höniges Vasile Goldis Western University of Arad, Santana, Romania
Writing for Mass Media Prof. dr James Chitwood Roger Williams University, Bristol Rhode Island, USA
13 From Poverty to Smart City (FPSC) 16 1
Development economics Prof. dr Edvin Zhllima Agricultural University of Tirana, Albania
Technologies for Smart Cities Prof. dr Carlos Albero Kamienski Universidade Federal do ABC, San Paulo, Brazil

Teachers presentation

  1. Prof. dr Vera Meister , Brandenburg University of Applied Sciences, Germany
  2. Prof. dr Marcin Grzegorzek, University of Siegen, Germany
  3. Prof. dr Shpresim Domi, Agricultural University of Tirana, Albania
  4. Prof. dr Malte Beinhauer , htw saar, University of Applied Sciences of Saarland, Germany
  5. Prof. dr Yigit Guzelipek , Karamanoglu Mehmetbey University, Turkey
  6. Prof. dr Galia Marinova, Technical University Sofia, Bulgaria
  7. Prof. dr  Daniel A. Glaser-Segura , Texas A&M University-San Antonio, USA
  8. Prof. dr  Lidia Sanchez Ruiz , University of Cantabria, Santander, Spain
  9. Prof. dr Song Younghack, SolBridge International School of Business, Woosong Educational Foundation,  Korea
  10. Prof. Jana Kadlubcova School of Business Administration in Karvina, Czech Republic
  11. Prof. dr Yuh Wen Chen, Institute of Industrial Engineering and Management, Dacun Changhua, Taiwan,
  12. Prof. dr Yong Seok Heo, Department of Electrical and Computer Engineering, Ajou University, Suwon, Republic of Korea
  13. Prof. dr Shelton Amiee, Roger Williams University , Bristol, USA
  14. Prof. dr Héctor Godoy Hernández, Universidad de Ibagué, Colombia
  15. Prof. dr Olha Kovalchuk, Ternopil National Economic University, Ternopil, Ukraine
  16. Prof. dr Seyed Amir Hossein Tabatabaei, University of Siegen, Germany
  17. Prof. dr Salem Abdel-Badeeh, Ain Shams University, Cairo, Egypt
  18. Prof. dr Mohamed Roushdy, Ain Shams University, Cairo, Egypt
  19. Prof. dr Muhammad Hassan Khan, Research group of Pattern Recognition University of Siegen, Germany
  20. Prof. dr Hadia Fakhreldin, The British University in Egypt (BUE), Cairo, Egypt
  21. Prof. dr  Lela Abdushelishvili, Caucasus University, Georgia
  22. Prof. dr Cesar Augusto Díaz Moya, Universidad de Ibagué, Colombia
  23. Prof. dr Ana Höniges , Vasile Goldis Western University  of Arad, Santana, Romania
  24. Prof. dr James Chitwood, Roger Williams University, Bristol Rhode Island, USA
  25. Prof. dr Edvin Zhllima, Agricultural University of Tirana, Albania
  26. Prof. dr  Carlos Albero Kamienski, Universidade Federal do ABC, San Paulo, Brazil

Courses

  1. Selected Technologies of Knowledge Management (STKM) – Master level course

The course is for Master level students. The main goals of the course will be as follows:

  • Practical insights in the development of Enterprise Knowledge Graphs (EKG) applications
  • Explaining to the students extended knowledge on pattern recognition and, mainly, showing current applications from the areas of visual scene analysis and human data interpretation

  1. Agile Solutions for Fast Changing Environment (ASFCE) – Bachelor level course

The course consists of 2 parts:

  • The 1st part on Project Management concerns: the project management framework, project time management, project cost management, project risk management, project evaluation indicators, project procurement management, application of statistical methods
  • The 2nd part on Project Management Agile Solutions includes the following issues: the nature of projects, project management principles, procedural models, Agile Management SCRUM – as an international standard, Small case project: Development of a mobile App in a SCRUM project, Ball point game.

  1. Social Media and Cyber Security (SMCS) – Bachelor level course

The course objectives are as follows:

  • Describing the relationship between social media and cyber security in the frame of threats and opportunities.
  • Presentation of the introduction to cryptography and cryptographic applications
  • Discussion on pseudo-random bit and number suits for cryptographic applications
  • Analyzing the software and hardware implementations and tests in the security aspects.
  • Introduction to the newest achievements in Pseudo-random bit and number suit generators, test packages for randomness, and the influence of the quality of the generator

  1. Information Technologies for Supply Chain Management (ITSCM) – Bachelor level course

The course objectives are as follows:

  • Presentation and discussion on the best practices model of supplier management in a globalized context including supplier recruitment, quality practices, evaluation and development with an inclusion of Information technologies.
  • Learning how operational techniques can help managers to solve logistic problems
  • Learning how Excel worksheet can be used as a tool to solve these problems

  1. Innovation Development Challenges (IDC) – Bachelor level course

The course objectives are as follows:

  • The course is aimed to help students learn how to creatively solve business problems. More specifically, students will learn about the attributes, habits, and skills of individuals who have successfully started innovative new businesses/products.
  • The aim of this course is to provide students with the necessary knowledge in a comprehensive way to enable their better orientation in a relatively complex area of managing innovations. They will recognize and understand specific management attitudes, methods and skills that determine the success of innovations in business, as well as a significance to apply them in real management of firms.

  1. Intelligent Manufacturing (IM) – Bachelor level course

The course consists of 2 parts:

  • Intelligent Manufacturing and Arduino Basics
    • That part covers the following issues: Introduction to Internet of Things, Basics of Intelligent Manufacturing/Industry 4.0 , Arduino Basics for wireless control: bluetooth and servo, Management Science in Intelligent Manufacturing
  • Introduction to computer vision and recent advances using deep learning
    • The second part concerns the computer vision. The goal of computer vision is to analyze and model our three dimensional world from two dimensional images and video using machine like human visual system. In this part, teacher introduces several basic algorithms related to the computer vision.

  1. Building of Strategy Focused Organization (BSFO) – Bachelor level course

The course consists of two parts. The first one on Strategic Communication, and the second on Translation of the Strategy to Operational Terms.

The sub-topics of the first part are as follows: Case Studies of efforts that worked and did not work, and strategic framework for completing different types of PR efforts such as Government Relations, Internal Relations, Media Relations, and Consumer Relations.

The sub-topics of the second part are as follows: Information as a Strategic Resource.

Strategy-Based Organizations. New approaches to Management. Best practices used by strategically managed organizations.

  1. Data Mining and Classification (DMC) – Bachelor level course

The course objectives are as follows:

  • Explanation of the basic models of classification
  • Introduction to automatic classification
  • Explaining to the students basic fundamentals of pattern recognition
  • Showing the current applications from the areas of visual scene analysis and human data interpretation

  1. Knowledge Engineering for Decision Support Systems (KMDSS) – Bachelor level course

The aim of the course is to make an overview of Knowledge engineering (KE)and computing approaches and techniques. In addition, it discusses the various subfields of KE and investigates their application in developing some intelligent decision support systems in some domains, e.g., Economy, Education, Health,and law.

Beyond that, the aim of the course is to make an overview of some Intelligent Systems approaches, methodologies and techniques. In addition, it discusses some types of Expert Systems and it’s application on some domains, e.g., Economy & Medicine.

  1. Pattern Recognition (PRC) – Bachelor level course

The aim of the course is to introduce to the an explanation of basic fundamentals of pattern recognition and, mainly, showing the current applications from the areas of visual scene analysis and human data interpretation.

  1. Global Business Communication (GBC) – Bachelor level course

The course aims to provide a comprehensive understanding of cross-cultural management in a global environment. The course will emphasize cultural competency and its role in communicating, negotiating and managing conflict across cultures.

The aim of the course is to develop effective verbal and written communication skills for use in the business environment by raising awareness of, practicing and reflecting upon the conventions of written texts and oral communication patterns

The course is to fill students in business communications theories, skills and tools useful to be applied to the corporate level in international sceneries.

  1. Mass Media Development (MMD) – Bachelor level course

The course consists of 2 parts. The 1st part will be on Management of Communication using Google Drive, the 2nd – on Writing Mass Media.

The topics included in the 1st part will concern small projects based on collaborative editing of documents, forms, questions needed for the management of communication. The 2nd part will concern

theoretical as well as practical approaches to improve content development and writing skills.

  1. From Poverty to Smart City (FPSC) – Bachelor level course

The course objectives are as follows:

  • Introducing economic models within the context of countries and issues, both classic models and the modern models of multi-equilibriums aiming to illustrate real-world development problem;
  • Increasing the understanding of students on real problems faced by developing countries, with focus in the influence of technology and education
  • Discussing on the political economy of development policy making and the state on promoting technology growth as a spillover for development
  • Teaching students to know how the IT technology is used for intelligent cities i.e., Smart Cities.
  • Introducing the concepts of Smart Cities and Urban Computing, focusing on concepts, applications and technologies as well as on research challenges involving different technologies that work on different layers of infrastructure.
  • Discussing on Internet of Things application for Smart Cities