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
Data Analysis for Biosystems Engineering
The following topics will be addressed in the course: linear regression and multiple linear regression, including model formulation, meaning of model parameters, checking model assumptions and prediction; data transformation; experimental design, including completely randomized design, block design and factorial design, and calculating the required sample size to obtain a certain precision; analysis of variance and
Science, Technology and Society
Do you think science and technology are neutral tools in gaining economic and social prosperity? Do you think innovation is always a good thing? In this course, we will question such assumptions by studying the relation between science, technology, and society. This relationship is both complex and ambiguous. For example from a societal perspective, self-driving
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
Agroecology
The course focuses on agroecological principles to analyse and design sustainable and productive farming systems. Agroecological principles include: Recycling and efficiency; Living Soils; Biodiversity; Ecosystem services and multi-functionality; Resilience; Fair Markets; Culture & spirituality; Youth & Women; Adequate Policies & governance; Knowledge co-creation and collaboration. Students will explore how agroecological farming systems are developed across
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
Keystone Project III: Big Data
Welke genen worden geactiveerd bij stress? Waarom bevorderen sommige bacterieën immuniteit? Hoe ontstaat kanker? Hoe wordt een microbe een ziekteverwekker? Om dit soort vragen te beantwoorden worden er vaak grote datasets –“Big Data” gecreëerd. In deze gevallen is analyse van de resultaten met eenvoudige middelen (Excel etc.) niet meer werkbaar. Om hiermee om te gaan
Plant Biotechnology (online)
Plant biotechnology is a discipline that connects the new insights into genes and their products with the end product that is destined for the market. As with other technological disciplines, plant biotechnology comprises a mixture of many other scientific areas of biological sciences such as molecular biology, biochemistry, physiology and genetics. In this course we
Machine Learning (TU Delft)
The goal of the course is to acquaint students with the basic Machine Learning concepts and algorithms. Specifically, the course will cover parametric and non-parametric density estimation, linear and non-linear classification, unsupervised learning including clustering and dimensionality reduction, performance evaluation of predictive algorithms and ethical issues in machine learning.
Molecular genetic research techniques
In deze voornamelijk praktische cursus leren jullie hoe je experimenteel processen in levende bacteriën, gisten, planten en zoogdiercellen kunt bestuderen, en de moleculair-genetische technieken die hiervoor worden toegepast. De technieken die jullie gaan leren en toepassen variëren van basale tot geavanceerde recombinante DNA-technieken, zoals: overdracht van genetisch materiaal tussen bacteriën, genetische mapping in planten, yeast-2-hybrid