Teaching

Machine Learning for managers

Guest lecture - Program Master of Management, Hasselt University, Faculty of Business Economics, 2026

Lecture designed to give business students a practical, non-technical grounding in ML concepts, covering the main types of supervised learning through intuitive real-world examples. The lecture closes with a business-oriented lens on ROI, ethical considerations, and model selection trade-offs, reinforcing that models are decision-support tools rather than replacements for human judgment.

Introduction to Information Systems

Master course - Master of Management, Hasselt University, Faculty of Business Economics, 2020

Study of business information systems with a focus on Business Intelligence, data management, and practical applications in spreadsheets, while exploring digital commerce, security risks, and decision-support tools.

Data Structure and Algorithms II

Bachelor course - Computer Science & Engineering Informatic, Central University of Las Villas, Faculty of Mathematics, Physics, and Informatics, 2018

Hands-on experience in designing, analyzing, and implementing efficient algorithms and data structures to solve complex computational problems.

Informatics

Bachelor course - Tourism, Central University of Las Villas, Faculty of Industrial Engineering and Tourism, 2018

Introduction to Informatics fundamentals with practical training in Microsoft Office tools (Word, Excel, PowerPoint, Access), database design, and internet applications for information processing and management.

Introduction to Java programming

Bachelor course - Biology, Central University of Las Villas, Faculty of Agricultural Sciences, 2017

Introduction to Java programming with a focus on applying object-oriented concepts and computational methods to solve biological problems.

Data Structure and Algorithms I

Bachelor course - Computer Science & Engineering Informatic, Central University of Las Villas, Faculty of Mathematics, Physics, and Informatics, 2017

Hands-on experience in designing, analyzing, and implementing efficient algorithms and data structures to solve complex computational problems.