Courses

1. Data Analytics and Panel Techniques
– Master level

The course will equip learners with the skills to analyze data, build predictive models, and develop deep learning architectures using contemporary tools and frameworks. It is designed to foster critical thinking and hands-on experience, enabling participants to solve real-world problems across various domains using AI-powered approaches.

This course introduces advanced panel data techniques with a focus on Common Correlated Effects (CCE) methods and their extensions to the dynamic specifications. These methods address crucial challenges in macroeconomic analysis, such as cross-sectional dependence and unobserved global factors, making them particularly well-suited for analysing heterogeneous economies in an increasingly interconnected world.

By incorporating latent common factors, CCE methods provide greater flexibility and robustness compared to traditional panel approaches, enabling researchers to capture the complexities and interdependencies of modern macroeconomic systems. Students will gain both theoretical insights and practical skills to apply these methods to real-world macroeconomic datasets.

Beyond that, the course is an introduction to the use of Internet as a way of communication inside sport sector. The first part of this course covers presentation and discussion on the following issues: E- Marketing, Search Marketing, Social Networking, SEM, Influencer Marketing, Native Ads, Programmatic Media.

The second part of this course includes issues as follows: the sport system; the stakeholders of sport sector;  the sport companies; the management of sport organizations; the sport events, global events and local events, funding, organization and communication; Internet as a tool of promotion; Internet as a way to find money.

• Identify key AI concepts and applications across business functions, including marketing, operations, human resources, and customer service, to enhance efficiency and decision-making.
• Analyze AI-driven tools and data for business insights, focusing on big data, predictive analytics, and ethical considerations in data usage.
• Develop strategies for AI adoption by leveraging AI platforms and tools, addressing implementation challenges, and exploring future trends for business competitiveness.

The first part of the course consists of the following sections: Introduction to Artificial Intelligence in Business, AI Applications in Key Business Functions, Data-Driven Decision Making with AI. The second part of this course includes the following  sections: AI-Driven Innovation and Competitive Strategy, AI Tools and Technologies, Challenges and Future Trends in AI.

The aim of the second part is to explore the challenges that businesses  are facing and their adaptability in a constantly changing environment. This part will explore the big world of small businesses, the survival challenges and new technological influences.  The module will also explore traditional and new business models.

The third part is to deal with our emotions and with the emotions that other people express in the workplace is critical to our success as employees and managers. This course will examine the role of emotions at the workplace and the processes by which people can identify and manage their and others’ emotions constructively, with the aim to create positive and productive worksite conditions and support individual and team success. During the course, special emphasis will be placed on the development of key emotional intelligence competencies such as self-awareness, self-regulation, motivation, empathy, and relationship management.

The course emphasizes the role of verbal and non-verbal communication in overcoming barriers and resolving conflicts, equipping participants with practical skills for diverse professional and social environments. The first part of this course covers the following topics: Introduction to Intercultural Communication; Development Cultural Awareness and Empathy, Non-Verbal Communication and Active Listening; Adaptability, Flexibility, and Effective Verbal Communication, Building Trust and Cultural Sensitivity; Cultural Intelligence (CQ) and Conflict Resolution.

The second part concerns an understanding of the importance of creative skills and open oneself to creativity. The second part is on creative skills development theoretical aspects (definition and importance of creative skills, benefits of enhancing creativity in personal and professional life), as well as on creative skills development practical aspects (various methods will be used to activate the creative approach).

The circular economy is a model of production and consumption, which involves sharing, leasing, reusing, repairing, refurbishing and recycling existing materials and products as long as possible. In this way, people save natural resources and water, and reduce to a minimum the waste emissions. This course aims to examine the role of the circular economy in workplace safety, identifying the key risks, new opportunities, and implementing sustainable practices

Students will gain insights into how occupational health and safety (OSH) can support both human well-being and environmental sustainability by examining the distinctive challenges presented by circular business models, including recycling, remanufacturing, and resource recovery.

Ultimately, students will be equipped with practical strategies for developing, managing, and promoting a safe, sustainable workplace that aligns with circular economy principles.

The second part aims to give the knowledge in the area of the green technologies, green deal and green transformations and the security issues connected with them. Examples for the green transformation of a smart port and university campus are presented to illustrate the course.

The course includes the important concepts, principles, and management perspectives in cybersecurity. The students discuss important concepts, principles and management perspectives. The key concepts introduced during the course are for example: confidentiality, integrity, availability, threat, risk, incident, information assets, and security measures. (Addressing aims 1 and 2)

Beyond that, the course concerns an understanding of the importance of professional ethics, explore related challenges and foundational ethical theories, and gain the skills to conduct basic ethical analyses in the context of cybersecurity management. (Addressing aim 3).

The last part of this course examines the principle of operation of various digital devices used in computer and communication technologies. Various computer-based tools for their modelling and simulation research are considered, such as MS Excel, Logisim, ISE Project Navigator used for FPGA programming and testing. The second part concerns the basic concepts in coding theory, synthesis of encoders and decoders for linear block codes, Hamming encoders and decoders, convolutional encoders, as well as the basic concepts in cryptography, encryption and decryption modules in stream cipher systems.

The mathematics of econometrics will be covered on an as-needed basis and will not be the primary emphasis of the course. Students will learn to use some essential quantitative tools and techniques for identifying data patterns, analyzing relationships between variables, and building and estimating regression and/or time series models. They will work with data sets and use econometric software (Stata/EViews/Gretl) to conduct empirical studies, enabling them to make informed decisions in fields such as economics, finance, and public policy.

The first part of this course covers the following issues:  Foundations of Econometrics and Data Science; Data Exploration, Preparation, and Visualization Techniques, and Descriptive Statistics; Simple and Multiple Linear Regression Analysis; Econometric Time Series Analysis (if time remains) and Case Studies. The second part of this course includes the following topics: Introduction to Data Visualization; Data and Visual Structures; Multidimensional Data; Different Types of Data Visualization; Business Intelligence (BI) and Data Visualization; Data Visualization with Tableau and Power BI in practice.

The first part of this course includes an Introduction to AI in Tourism; Theoretical Foundations of AI; AI Applications in Tourism; Tools and Technologies in AI for Tourism; Challenges and Future Trends. The other parts of this course are on the following topics: Value Creation and Competitive Advantage Models; Artificial Intelligence Methods and Techniques; The Systems That Increase the Efficiency of Information Processing and Thinking like a Human Solving Problems by Searching; The Most Important AI Technologies; Cognitive Computing Systems and Components and Principles of Cognitive Computing Systems Design, as well as on the Generative Artificial Intelligence.

This course is to help students: be aware of the impact of AI and GenAI in marketing activities, understand how it is transforming digital marketing practices in several ways, and more specifically grasp how the transformation manifests itself for practitioners in existing examples. Students will be able to identify existing applications of AI in customer relations in a business context, as well as to grasp the contribution of AI to optimizing customer relations in your sector of activity and to identify where AI can add value to a company’s business model, while respecting privacy.

The first part of this course concerns the following issues: Introduction to economics and management science; Social investment; Project finance methods; Sustainability and Innovation; Organizational behavior and leadership.

The second part of this course covers considerations of the business laws for project financings, joint ventures, securitizations, timeshares, and ESOPs as some key entrepreneurial activities differently performed worldwide, and their legal issues.

Finally, the third part concerns the Chinese traditional thoughts and its revelation for contemporary economic management. The last part aims to understand Chinese economic development traditionally and contemporarily, to understand the Chinese traditional thoughts and their influence on contemporary economic management, and to understand the Chinese contemporary economic management.