This course explores the key ethical challenges involved in the development and use of Information Systems especially Artificial Intelligence systems. Students will be introduced to major ethical theories and analytical tools for addressing moral dilemmas, while engaging with current issues such as privacy, data protection, algorithmic bias, transparency and explainability, accountability, cybercrime, intellectual property, and the social implications of automation. Through a combination of theory and real-world case studies, the course aims to provide students with practical knowledge and professional awareness for making ethical decisions in the field.
Information systems are a central component of the modern business environment. The course presents economic models and principles, and demonstrates their applicability in the context of information products and information systems. The course is designed to provide participants with insights and managerial tools for analyzing decision situations regarding methods of implementation and operation of information systems, as well as the sale or purchase of information products.
The Organizational Knowledge Management course provides graduate students in Industrial Engineering and Management with an in-depth understanding of the theories, methodologies, and tools of knowledge management in organizations. The course addresses the strategic, technological, and cultural dimensions of knowledge management and demonstrates how organizations can leverage knowledge to create competitive advantage, foster innovation, and enable organizational learning. Key models (such as the SECI model), knowledge mapping techniques, integration of advanced information systems, and methods for evaluating knowledge management projects will be presented. Students will be exposed to case studies from various industries and to emerging trends, including the impact of artificial intelligence on knowledge management.
This course explores the principles, models, and practices of managing innovation in the development of products and services. Students will gain both theoretical knowledge and practical tools for identifying opportunities, generating ideas, and guiding innovations from conception through commercialization. The course emphasizes strategic and organizational aspects of innovation, including design thinking, business model innovation, technological trends, service design, and risk management. Case studies and real-world examples will illustrate how companies successfully—and sometimes unsuccessfully—manage innovation to achieve competitive advantage. By the end of the course, students will be equipped with frameworks and methods to effectively manage innovation processes in diverse organizational contexts.