EIT Digital

Description The goal of this course is to understand the foundations of Big Data and the data that is being generated in the health domain and how the use of technology would help to integrate and exploit all those data to extract meaningful information that can be later used in different sectors of the health…

Description Operations on data become more expensive when the data item is located higher in the memory hierarchy. An operation on data in CPU registers is roughly a million times faster than an operation on a data item that is located in external memory that needs to be fetched first. These data fetches are also…

Description Have you ever experienced that your printer got stuck at a piece of paper? What if that happened every time you print? This course explains the importance of technical norms to which engineers abide to, so your printer works smoothly. Imagine that there were no standards. That is not easy, even if you try.…

Description Welcome to Web Connectivity and Security in Cyber Physical Systems! In this course, we will explore several technologies that bring modern devices together, facilitating a network of connected things and making devices internet enabled. We will discuss rules, protocols, and standards for these devices to communicate with each other in the network. We will…

Description Course Information: In many areas of computer science such as robotics, computer graphics, virtual reality, and geographic information systems, it is necessary to store, analyze, and create or manipulate spatial data. This course deals with the algorithmic aspects of these tasks: we study techniques and concepts needed for the design and analysis of geometric…

Description Many real-world algorithmic problems cannot be solved efficiently using traditional algorithmic tools, for example because the problems are NP-hard. The goal of this course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. These techniques apply when we don’t require the optimal solution to certain problems,…

Description Welcome to Quantitative Formal Modeling and Worst-Case Performance Analysis. In this course, you will learn about modeling and solving performance problems in a fashion popular in theoretical computer science, and generally train your abstract thinking skills. After finishing this course, you have learned to think about the behavior of systems in terms of token…

Description The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and…

Description This nanoMOOC is an introduction to the upcoming full course “Blockchain for the decision maker”, offered by EIT Digital and the Budapest University of Technology and Economics. You will learn: – the concept of Distributed Ledgers and how “blockchains” can provide them – the difference between public networks (as Bitcoin) and consortial ones bespoke…

Description If you want to know more about blockchain, then this course is for you. Business is currently dealing intensively with digitisation. Blockchain has a major impact on the design and implementation of digital business processes in many application areas such as Internet of Things, the Smart Grid, supply chain and many more. In this…