4 Weeks

Communication is much more than the words you say. And cultural communication is much more than just the language you speak. What you say is never interpreted exactly as you meant it and what you hear is never what was meant by what was said. When you mix in [...]

Airplanes gave us the ability to travel across oceans to visit international team members. But virtual spaces are now bringing us together in an instant. New rules have been written, and as work-from-home is on the rise, re-written, and they bring their own unique cross-cultural challenges. We’ll discuss communication [...]

In this course, you will look at models and approaches that are designed to deal with challenges raised by time series data. The discussion covers the motivation for the use of particular models and the description of the characteristics of time series data, with a special attention raised to [...]

Do you (or do you want to) work on a multinational team? Do you want to become a manager or improve your current management style to get better results? Are you unsure if culture is impacting your ability to communicate and collaborate? If you answered yes to any of [...]

Whether you are currently a manager or not, you should now be ready to learn to play a leadership role in a multinational team. Leadership is more than management, and culture greatly affects what is expected of leaders. For instance, some cultures expect their leaders to give directives; [...]

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written [...]

Ce MOOC sur les ressources minérales et les transitions invite à se questionner sur la soutenabilité de nos choix technologiques. Les transitions énergétiques et numériques sont en effet confrontées aux enjeux d'approvisionnement des ressources minérales et aux impacts que leur cycle de vie génère sur l’environnement et la [...]

This course will introduce the concepts of interpretability and explainability in machine learning applications. The learner will understand the difference between global, local, model-agnostic and model-specific explanations. State-of-the-art explainability methods such as Permutation Feature Importance (PFI), Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanation (SHAP) are explained and [...]

This course will introduce MIMIC-III, which is the largest publicly Electronic Health Record (EHR) database available to benchmark machine learning algorithms. In particular, you will learn about the design of this relational database, what tools are available to query, extract and visualise descriptive analytics. [...]

Machine learning systems used in Clinical Decision Support Systems (CDSS) require further external validation, calibration analysis, assessment of bias and fairness. In this course, the main concepts of machine learning evaluation adopted in CDSS will be explained. Furthermore, decision curve analysis along with human-centred CDSS that need to be [...]