This course introduces the foundations of data management by integrating traditional database principles with contemporary artificial intelligence (AI), and analytics techniques. Students explore database management system (DBMS) architecture, the database environment, and data warehousing concepts within modern organizational contexts. The course emphasizes AI-enhanced data modeling using entity-relationship (ER) and relational models, principles of logical database design, normalization, and the application of intelligent analytics. Students examine business rules and their role in ensuring data integrity, consistency, and governance. Practical components include structured query language (SQL), AI-assisted query generation and optimization to support data-driven decision-making. Additional topics may include distributed databases, web-based database services, cloud-based data environments, graph databases, and introductory data mining concepts.

This course provides a comprehensive introduction to the world of data programming with Python, augmented by the power of Artificial Intelligence (AI). Designed for beginners, this course will equip students with the essential skills to analyze data, automate tasks, and build intelligent applications. Students will learn fundamental Python programming concepts, explore AI algorithms and techniques, and gain practical experience working with real-world data. Through hands-on labs and projects, students will discover how to leverage AI to extract meaningful insights from data, build AI-powered tools, and develop a deeper understanding of the growing role of AI in data science. No prior programming experience is required.

Introduces students to the strategic role of digital transformation within businesses, and provides an overview for how major information technologies may be used to inform and transform the firm's strategic, operational, and tactical decisions. Topics discussed in the course include the strategic use of digital technologies to generate sustainable competitive value; the contributions of new forms of technology infrastructure; the evaluation of new technology investments and the resulting ROI; acquiring, managing and governing technological capabilities within the firm; understanding the role of enterprise systems and social technologies within the firm; and the management of disruptive technologies within and outside the firm.

Digital Technologies and digitization have dramatically transformed businesses, markets, governments, and societies in the last few years. It is imperative for managers, entrepreneurs, and business professionals to have a good understanding of the digital economy and the strategic impacts of digital technologies on business and markets. Businesses that build on emerging digital and information technologies have a number of unique and interesting characteristics that set them apart from traditional businesses. Examining the fundamental characteristics of these digital businesses, networks, and platforms will help us understand the transformative potential of digital technologies and their impacts on the structure and competitive dynamics in various industries. This course is designed to foster an in-depth understanding of fundamental concepts about the digital economy and will examine the fast-changing dynamics of digital businesses and markets.

Data analytics is extensively employed in practical settings to gain comprehensive insights into data, extract actionable information, and facilitate strategic decision-making. This course is designed to introduce essential statistical techniques tailored for data analytics. Topics covered include data summarization and presentation, confidence intervals, hypothesis testing, and regression analysis. Additionally, the course places a strong emphasis on the practical application of these techniques and encourages students to actively engage with data analysis exercises to enhance their managerial decision-making capabilities.

Artificial Intelligence (AI) is penetrating our daily routines deeply and is revolutionizing almost every aspect of business. Firms are increasingly using technologies such as natural language processing, neural networks, and deep learning to generate deep insights. At the same time, AI algorithms are challenged by issues of bias, ethics, and transparency. This course aims to equip students with the essential knowledge of the current wave of AI. It uses a hands-on, learning-by-doing approach to understanding the concepts behind AI, the strategic drivers of these technologies and the value propositions that they provide to industries. The focus is on creating awareness of the technologies, allowing some level of familiarity with them through assignments, and enabling some strategic thinking around the use of these in business.