This course covers fundamental principles of business management, including planning, organizing, leading, and controlling business activities. Students will develop leadership skills essential for strategic decision-making and ethical business practices, preparing them to navigate complex business environments and foster a culture of accountability and compliance. Learning outcomes: Demonstrate a comprehensive understanding of fundamental business management principles. Develop and apply leadership skills in strategic decision-making processes. Analyze and address ethical issues in business management, fostering a culture of accountability and compliance. Evaluate business scenarios to enhance operational efficiency and effectiveness.

Exploring the dynamics of individual and group behavior within organizations, this course focuses on leadership theories, motivation, team dynamics, and organizational culture. Students will enhance their leadership and ethical decision-making abilities, crucial for managing risks and promoting a transparent and compliant organizational culture. Learning outcomes: Analyze individual and group behavior within organizational settings. Apply leadership theories to enhance team dynamics and organizational culture. Develop ethical decision-making abilities to navigate complex risk scenarios. Design[AD1] a culture of transparency and compliance within organizations.

This course provides an in-depth understanding of strategic planning and implementation, competitive analysis, and strategic decision-making. Students will gain proficiency in strategic risk management, learning to identify, assess, and mitigate financial and operational risks effectively. Learning outcomes: Develop strategic planning and implementation skills. Conduct competitive analysis and strategic decision-making. Identify, assess, and mitigate financial and operational risks. Formulate strategic initiatives that align with organizational goals.

Focusing on the decision-making process in business contexts, this course covers analytical tools and techniques for making informed decisions. Students will acquire advanced analytical skills, enabling them to integrate data-driven insights into proactive risk management strategies. Learning outcomes: Apply analytical tools and techniques for informed decision-making. Integrate data-driven insights into risk management strategies. Enhance decision-making processes to address business challenges effectively. Evaluate the impact of decisions on organizational performance and risk.

This course covers the essentials of project management, including project planning, execution, monitoring, and closure. Students will learn to manage projects efficiently, addressing operational risks and ensuring successful project outcomes through effective risk assessment and mitigation. Learning outcomes: Develop project planning, execution, monitoring, and closure skills. Identify and manage operational risks in project management. Utilize project management tools to ensure successful project outcomes. Implement effective risk assessment and mitigation strategies in project contexts.

Providing a comprehensive understanding of financial principles, this course covers financial analysis, planning, control, and decision-making. Students will develop proficiency in financial risk management, learning to analyze financial data and leverage it for effective risk mitigation. Learning outcomes: Understand and apply financial analysis and planning principles. Conduct financial risk analysis and leverage insights for risk mitigation. Evaluate financial data to inform strategic financial decisions. Manage financial resources effectively to enhance organizational performance.

This course examines the application of economic theory and quantitative methods to managerial decision-making processes. Students will explore how economic concepts, analytical tools, and empirical techniques can be used to analyze business problems and develop strategic solutions. The course integrates microeconomic principles with practical applications in business contexts, emphasizing demand analysis, production and cost theory, market structure, pricing strategies, and risk assessment. Learning outcomes: Apply economic principles and analytical tools to solve business problems and make optimal management decisions. Analyze market demand and competitive conditions to develop effective pricing and business strategies. Determine optimal production levels and resource allocation to maximize firm profitability. Evaluate business risks and develop data-driven strategic solutions for real-world challenges.

In this capstone course, students will apply their knowledge and skills to a strategic simulation management project. They will demonstrate their proficiency in strategic risk management, advanced analytical skills, and specialized expertise in risk management, addressing emerging risks and opportunities in a dynamic business landscape. The project emphasizes innovation, entrepreneurial skills, and regulatory compliance. Learning outcomes: Apply knowledge and skills to a strategic simulation management project. Demonstrate proficiency in strategic risk management and advanced analytical skills. Develop specialized expertise in risk management and compliance. Address emerging risks and opportunities with innovative and entrepreneurial skills. Integrate regulatory compliance frameworks in project execution.

This course introduces the fundamental concepts and frameworks of risk management. Students will learn to identify, assess, and manage various types of risks, developing a solid foundation in strategic risk management and crisis management. Learning outcomes: Examine fundamental concepts and frameworks of risk management. Identify, assess, and manage various types of risks. Develop strategies for effective risk mitigation and crisis management. Evaluate risk management practices in organizational contexts.

This course focuses on net assessment methodologies used to evaluate the competitive position of an organization. Students will acquire advanced analytical skills to conduct comprehensive risk assessments, integrating financial and operational data to inform strategic decisions. Learning outcomes: Apply net assessment methodologies to evaluate competitive positions. Conduct comprehensive risk assessments integrating financial and operational data. Develop advanced analytical skills for strategic decision-making. Utilize assessment findings to inform organizational risk management strategies.

This course aims to provide students with the tools, frameworks, and analytical skills necessary to identify, assess, and manage risks while preparing for and responding to crises strategically. The course bridges theoretical approaches and practical applications, offering insights into how organizations, governments, and leaders can make informed decisions under uncertainty. Learning outcomes: Interpret the importance and specificity of leadership, communication, and organizational culture in managing risks and crises. Examine the root causes of organizational risks and crises by deconstructing internal and external contributing factors. Justify recommendations for improving risk management systems based on a critical assessment of current frameworks. Design a strategic crisis management plan that incorporates risk assessment, communication strategies, and recovery measures, using AI tools in Risk Management. Develop innovative strategies to mitigate emerging risks, such as technological disruptions or geopolitical instability, tailored to specific organizational needs.

This course overviews the core concepts of Artificial Intelligence (AI) and its transformative role in modern business and project management. It explores integrating AI technologies in various management practices, emphasizing their application for data-driven decision-making and proactive management. Participants will explore key AI techniques and tools applied across various domains, such as customer interaction, financial analytics, and process automation. The course also examines AI's ethical implications and challenges, preparing students to implement responsible and effective AI solutions. Learning outcomes: Examine[AD3] AI techniques and their everyday applications, such as in email, social media, and intelligent virtual assistants (e.g., Siri, Alexa). Apply AI-driven tools to analyze data and extract actionable business insights. Develop strategies to integrate AI in business operations, focusing on customer experience, financial decision-making, and operational efficiency. Implement strategic management leveraging AI to predict and mitigate potential issues.

This course overviews the impact of Artificial Intelligence (AI) and Machine Learning (ML) technologies in business practices. Participants will explore the field of predictive analysis, analyze trends, evaluate customer experience, and tools to visualize results for a wide range of business cases. By integrating theoretical knowledge and practical insights, this course equips students to comprehend how to utilize a variety of AI and ML in business contexts, preparing them to lead innovation in an increasingly data-driven world. Main focus during the course is concentrated on real-world applications and up-to-date AI and ML technologies. Learning outcomes: Distinguish the principles of AI and machine learning techniques relevant to business contexts, including data visualization, predictive modeling, and deriving actionable insights from complex datasets. Analyze the impact and potential of AI-driven automation systems, such as chatbots, robotic process automation (RPA), and virtual assistants, in improving customer experience and scaling business operations. Apply AI and machine learning tools to develop innovative solutions and design strategic roadmaps for their integration into existing business models to achieve competitive advantage. Evaluate AI applications by assessing their effectiveness in achieving organizational goals, compliance with regulatory frameworks, and alignment with societal and ethical considerations.

This course focuses on a review of how to utilize Generic Artificial Intelligence (GAI) in the domain of project management. The current course will provide knowledge of AI tools and techniques to enhance project planning, execution, and evaluation. Participants will dive deep into support decision-making, resource allocation, risk assessment, and performance tracking in dynamic project environments. Additionally, during the course, we will analyze ethical considerations for implementing AI responsibly in diverse project scenarios. Learning outcomes: Apply AI tools to design optimized project plans, automate task dependencies, and develop efficient schedules to enhance project management processes. Analyze AI-driven techniques for resource management, including resource allocation, cost estimation, and budget optimization, to maximize project efficiency and effectiveness. Identify potential project risks, perform scenario analyses, and develop proactive mitigation strategies. Evaluate ethical considerations in AI-driven project management, ensuring responsible and transparent use of AI tools in alignment with industry standards and societal expectations.

This course explores ethical theories and aesthetic values, emphasizing their application in business decision-making. Students will develop ethical decision-making skills essential for navigating complex risk scenarios and fostering a culture of transparency and accountability. Learning Objectives: Understand ethical theories and their application in business decision-making. Develop skills for ethical decision-making in complex risk scenarios. Analyze the role of aesthetics in organizational culture and leadership. Foster a culture of transparency and accountability through ethical practices.

Focusing on the philosophical underpinnings of management practices, this course covers topics such as ethical leadership, corporate governance, and social responsibility. Students will enhance their leadership skills and ethical decision-making abilities, crucial for managing risks in diverse business environments. Learning Objectives: Explore philosophical underpinnings of management practices. Develop ethical leadership and corporate governance skills. Analyze social responsibility and its impact on risk management. Enhance decision-making abilities for managing risks in diverse environments.

This course overviews today’s role of modern Artificial Intelligence (AI) tools to predict and evaluate a wide range of business challenges. Participants will dive deeper into AI technologies for early detection, risk assessment, and proactive decision-making to minimize potential challenges and disruptions. The main focus will be on reshaping the decision-making process, operational efficiency, customer engagement, and strategic planning with AI technologies. Through case studies, hands-on projects, and discussions, participants will review real-world business challenges and gain knowledge on how to apply modern tools in an increasingly digital economy. Learning Objectives: Understand and describe a wide range of modern AI tools applicable to developing and enhancing preventive business strategies. Evaluate the application of AI in critical business domains, including marketing automation, financial forecasting, customer service, and supply chain optimization, to assess their effectiveness in achieving strategic objectives. Utilize platforms like chatbots, recommendation systems, and business intelligence tools to identify and solve practical business problems. Design and implement management strategies leveraging AI tools, and plan their seamless integration into specific business domains to enhance operational efficiency and strategic foresight.

This course focuses on approaches and tools for effectively visualizing and interpreting datasets. Participants will overview specific data preprocessing and research main data cleaning tools. Understand the main types and concepts of effective and appropriate data visualization. Emphasizing both design principles and technical skills, the course covers a range of tools, including Tableau, Power BI, and Python visualization libraries. Learning Objectives: Understand and explain the principles of data visualization, selecting appropriate techniques for effectively interpreting and communicating business data. Apply tools such as Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create professional-grade visualizations tailored to business needs. Analyze datasets to identify patterns, trends, and actionable insights, and evaluate how to represent these findings effectively through visualization. Design and present data-driven visual solutions to address business problems, working collaboratively or independently on team-based or individual projects.