Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
Welcome to Principles of Data Visualisation and storytelling Organizer: Gabriela Montoya Lecturers: Luis-Daniel Ibáñez (Lecturer at University of Southampton, UK) ECTS: 2 Date/Time: 14-15 May 2024 Deadline: 23 April 2024 Max no. Of participants: 25 Description: For most tasks where we collect and/or analyse data, the ability to visualise what we are doing is critical for making sense to yourself and your […]
Welcome to Biophysical Expression, Affect & Movement (BEAM) Organizer: Daniel Overholt Lecturers: Daniel Overholt (US/DK), Elizabeth Jochum (US/DK), Mark-David Hosale (US/CA), Alan Macy (US), Grisha Coleman (US), and Marco Donnarumma (DE/IT). ECTS: 3 Date/Time: 27, 28, 29 May 2024 Deadline: 06 May 2024 Max no. of participants: 20 Enrolment: Sign up through the link Description: Biophysical Expression, Affect & Movement (BEAM) introduces students to cutting edge research trends and technology platforms that monitor […]
Welcome to Big Data Integration Organizer: Matteo Lissandrini, Katja Hose Lecturers: Giovanni Simonini, University of Modena and Reggio Emilia (Italy) ECTS: 2 Date/Time: June 2024 Deadline: 10 May 2024 Max no. Of participants: 20 Description: The course aims at illustrating recent advancements in the field of big data integration from both the practical and methodological perspective. In particular, the focus will be […]
Welcome to Data and Machine Learning Operations (DataOps and MLOps) Description: The course will cover central concepts, methods, techniques, and tools within DataOps and MLOps. Topics include Data Augmentation, Labeling, Cleaning, Pre-processing, Quantifying the Data Quality, Lifecycle, machine learning model deployment, ML pipeline orchestration, monitoring and maintenance (via updating with transfer learning OR retraining) in production, […]
Welcome to Applications of AI to Modern Data Management Systems Organizer: Professor Torben Bach Pedersen Lecturers: Professor Wolfgang Lehner ECTS: 2 Date/Time: 7-9 October 2024 Deadline: 16 September 2024 Max no. Of participants: 15 Description: The course will cover applications of AI to modern data management systems, including learned indexes, learned optimizers, and other state of the art applications of modern AI […]
Welcome to Human-Centered Artificial Intelligence Organizer: Niels van Berkel Lecturers: Haiyi Zhu ECTS: 3 Date/Time: 4-5-6 November 2024 Deadline: 13 October 2024 Max no. Of participants: 20 Description: Artificial Intelligence has experienced a tremendous increase in attention in recent years across all sectors in society ranging from health, transportation, finance, construction, entertainment among others. Taking an optimistic view, Ben Schneiderman envisions,” computing devices […]
Description: An intelligent system is expected to generate policies autonomously to achieve a goal, which is mostly to maximize a given reward function or minimize a given cost function. Reinforcement learning is a set of methods in machine learning that can produce such policies. To learn optimal actions in an environment that is not fully comprehensible […]
Welcome to Radio Simulation Techniques Description: Due to the increasing complexity of radio systems, the use of advanced simulations is becoming one of the preferred methodologies for realistic performance assessments. In line with this statement, the leading industrial standardization forum for cellular systems – the Third-Generation Partnership Program (3GPP) – also relies heavily on advanced simulations […]
Description: In today’s world, data is at the heart of decision-making processes across various domains. Dataflow is a programming paradigm and execution model that underpins many modern distributed data processing systems. In this model, developers create programs by defining sequences of functional transformations on input data. The system runtime then manages the execution of these programs […]
Description: Urban computing is an emerging field that aims to address the challenges of rapid urbanization, such as pollution, energy consumption, and traffic congestion. Urban computing involves acquiring, integrating, and analyzing large and heterogeneous data generated by a variety of sources in urban spaces, including sensors, devices, vehicles, buildings, and people, to tackle major urban challenges. […]
Welcome to Convex Optimization, Game Theory, and Machine Learning for Upcoming 6G Networks Description: Nowadays, wireless networks have faced an explosive growth of data traffic because of the dramatic increase in the use of mobile devices and, consequently, data-greedy and delay-sensitive applications. Furthermore, bringing everyone and everything unconnected to the connected world is crucial. Thus, researchers […]
Welcome to Design and Query Processing in Specialized Data Management Systems Description: Relational Database Management Systems have been applied in many different domains and build the foundation of every larger software application stack. However, highly specific applications and use cases often require more tailored systems along with a non-relational data model and use-case specific query language. […]
Description: Artificial Intelligence has experienced a tremendous increase in attention in recent years across all sectors, including health, transportation, finance, construction, and entertainment. In the realm of software engineering, integrating AI in a human-centered manner is crucial for ensuring that these technologies enhance human capabilities and maintain ethical integrity. Ben Shneiderman envisions "computing devices that […]