Signal Processing
Digital signal processing is used in many modern computer sciences systems and applications. Examples are machine learning, artificial intelligence, and big data analysis; content recommenders in information systems; speech, music and image content based retrieval and searching; music and video compression; sensor data processing in embedded systems; bioinformatics and medical data analysis. This course deals
Molecular Genetics and Gene Technology
Het vak Moleculaire Genetica en Gentechnologie (MGG) bestaat uit een theoretisch deel (hoorcolleges en opdrachten) en een bijpassend praktisch deel. Bij het theoretische deel komen diverse aspecten van de Moleculaire Genetica ter sprake: DNA herstel mechanismen; DNA structuur (eu- en heterochromatine, DNA -en histon modificaties als essentiële onderdelen van epigenetica, mobiele DNA elementen); RNA (silencing,
Algorithms for sequence-based Bioinformatics
After having followed this course, the student has a good understanding of algorithms and data structures in genomics used for DNA sequence analysis. The student is able to implement algorithms in python, and can translate methods described in scientific literature into a working implementation. Bioinformatics analyses in genomics aim to compare large sets of genomes
Big Data Processing
The term “Big Data” describes datasets that are either too big or change too fast or both to be processed on a single computer. Big Data Processing provides an introduction to systems and algorithms used to process Big Data. The main focus of the course is programming and engineering big data systems; initially, the course
Bioinformatics
De ontwikkeling van steeds nieuwe en betere high-throughput assay technologieën transformeert de moleculaire biologie in een razendsnel tempo. Sequencing van volledige genomen en de mogelijkheid om RNA, eiwitten, metabolieten en hun interacties op grote schaal (genoom-breed) te meten brengen een revolutie teweeg in biologisch onderzoek en dientengevolge ook op de diagnostiek. Voor het eerst komen
Research in Bioinformatics
Bioinformatics is at the heart of many modern systems biology analyses, and encompasses the application of statistics and computer science to (large-scale) biomolecular datasets. In essence, bioinformatics is about smart ways of extracting knowledge from the enormous amounts of data that can be generated using modern measurement techniques. For instance, it plays an important role
Molecular and Cellular Biophysics
De combinatie van de vakken Moleculaire Celbiologie, Life Sciences en Biochemie geven een complete introductie van de werking van de levensprocessen in de cel. Studenten maken kennis met de moleculaire wereld en leren een moleculaire manier van denken aan. In de Moleculaire Celbiologie nemen we het functioneren van de kleinste levende eenheid, de cel, als
Transitions, Innovation en Governance
TRIG provides an overview of frameworks and methods to study and guide sustainable innovation, sustainability transitions, in particular socio-technical transitions and their governance, as these are all important to bring about sustainability and transitions to sustainability. Increasing the understanding of the underlying societal mechanisms and processes of sustainable innovation and sustainability transitions is important in
Data Mining
The goal of the course is to teach students how to think like a data miner. Intuitively, this means you have the mindset and skills to find practical solutions to common problems you encounter when extracting knowledge, patterns, and models from large data sets. To make such solutions effective, you must understand both the underlying
Introduction to Responsible AI Engineering
Introduction to AI and Responsible AI Engineering (hereafter Responsible AI for short) introduces students to the history of AI development and how it got entrenched in society, as well as to the range of ethical issues that tend to arise during the development, design and application of AI in society.