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 Fundamentals of Clinical Data Science PhD Program: Biomedicine (B) Description: Clinical data science can be defined as the scientific field, which turns healthcare data into clinically useful applications. This course will introduce the disciplines involved in the full value chain of clinical data science, covering the transformation of data to model and to applications, with […]
Welcome to Tools for Scientific Software Development and Data Science (2024) The development of eScience and Data Science across research fields means many researchers have to spend a significant amount of time at their computers. As a consequence, we need to ensure that our skill set and toolbox is up to date and that we […]
Description: Mixed models provide a flexible framework for analyzing data with multiple sources of random variation and they are indispensable in many medical, biological, and engineering applications. When treatments are tested in medical applications, the responses for individuals receiving the same treatment often vary due to unobserved genetic factors and this variation must be taken into […]
Description: In many situations, a number of observations are made which contain some information about an underlying phenomenon we are interested in. Examples of this are: The diagnosis of the Parkinson’s disease from a telephone recording, The assessment of bearing wear from vibrational data, The automatic transcription of music, Order tracking analysis of rotating machines, […]
Welcome to: Big data - from raw data to data integration in clinical research projects Program: Main CSLTM · Biomedicine (B) · Clinical and Pharmacological Medicine (CPM) · Clinical Science, Laboratory and Translational Medicine (CSLTM) Description: Omics technologies including genomics, transcriptomics, epigenetics, proteomics and metabolomics are now key technologies in multiple fields of research and a highly active domain in health and […]
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 […]
Description: The notion of Artificial Intelligence (AI) dates back approx. 70 years as a research field and even longer if one considers fiction writers. A number of different definitions of AI has been suggested over the years, but none seem to capture what AI is. This might be due to the fact that AI is about computer algorithms that behave intelligently. And since the capabilities of computer algorithms improve […]
Description: During the last decades, Bayesian statistics has gained enormous popularity as an elegant and powerful computational tool to perform statistical analysis in complex stochastic models as applied in engineering, science and medicine. Bayesian statistics offers an alternative approach to traditional data analysis by including prior knowledge about the model parameters in form of a prior […]
Description: Modern laboratory equipment produces huge amounts of experimental data — spectral vectors with hundreds of wavelengths, microarrays, gene expression data, sensors, multi-channel images and many others. Even conventional measurements may end up with tens to hundreds of variables. Such data represent a wealth of potential information but usually only a part of it relates […]
Welcome to Machine learning in health technology Program: BEN Description: Do you want to get into machine learning but do not know where to start? This is a 3-day course with a practical approach to machine learning directed to PhD students at the Faculty of Medicine. The course includes two days of lectures from basics about machine learning to […]
Welcome to Self-Supervised Learning Organizer: Zheng-Hua Tan Lecturers: Zheng-Hua Tan ECTS: 2 Date/Time: November 18-20, 2024 Deadline: 28 October 2024 Max no. Of participants: 50 Description: The course gives an introduction to self-supervised learning methods for learning representations of single- and multiple-modality data, covering deep architectures, training target and loss functions used in state-of-the-art methods, and selected downstream applications. A focus will be […]
Welcome to Advanced Natural Language Processing for Industry: Theory and Practice Organiser: Assistant Professor, Chen Li, cl@mp.aau.dk Lecturers: Associate Professor, Dimitris Chrysostomou, Department of Materials and Production Associate Professor, Thomas Ditlev Brunø, Department of Materials and Production Associate Professor, Elizabeth Jochum, Department of Communication and Psychology Associate Professor, Simon Bøgh, Department of Materials and Production Assistant Professor, Chen Li, Department of […]
Welcome to Advanced control for building applications Organizer: Alireza Afshari Lecturers: Samira Rahnama, Mahmood Khatibi ECTS: 3.0 (28 hours of work load per ECTS) Time: 2-4 December 2024 Place: Aalborg University Zip code: 9220 City: Aalborg Number of seats: 20 Deadline: 11 October 2024 Description: Topic, background and motivation for the course: Despite extensive research and successful implementation of advanced control techniques, like MPC, in other fields, […]
Welcome to 3rd symposium on the advances in biomedical engineering and neuroscience Program: BEN - MANDATORY COURSE FOR BIOMEDICAL ENGINEERING AND NEUROSCIENCE Description: The course has a focus on disseminating the most relevant and recent achievements within biomedical and engineering science to address relevant health care problems. This course will be organized annually and will include […]