This course offers a comprehensive overview of Artificial Intelligence (AI), covering its development, future trends, and key concepts such as algorithms, machine learning, deep learning, prompt engineering, generative AI, and natural language processing. It includes case studies, reviews essential AI tools, and addresses ethical and regulatory considerations. The course builds a foundation in logical thinking and algorithm design, equipping students to apply AI principles in organizational and social contexts.

This course examines information systems and their impact on modern organizations. Students will learn the system lifecycle, database utilization, and principles of designing relational databases. Practical instruction includes basic and advanced SQL query writing, with hands-on MySQL experience. Visual demonstrations cover entities, relationships, and reports.

This course explores the transformative role of Artificial Intelligence (AI) in modern management and organizational strategy. It introduces students to foundational AI technologies, adoption technology models, and the ethical, managerial, and strategic implications of AI integration in diverse sectors. Through case studies and practical exercises, students will analyze AI-driven innovations in supply chain management, industrial operations, and healthcare systems. The course emphasizes critical thinking, prompt engineering, and generative AI tools to solve real-world managerial challenges. Students will gain analytical frameworks and decision-making skills to lead technological transformati