Introduction to Machine Learning (UU)
The goal of this course is to give an introduction to machine learning. We will introduce several successful methods for regression, classification, clustering, and data dimension reduction and develop the mathematical theory behind these methods, with a focus on continuous optimization theory. In the exercise sessions, the students will work on proof-style exercises, as well
Systems Analysis and Modelling
This course introduces students to systems approaches for analysing ecological and agro-ecosystems through quantitative simulation models. Students learn to formulate and specify dynamic models, evaluate model performance using statistical methods and inverse modelling, and simulate spatial processes using partial differential equations. Topics include population and nutrient dynamics, dispersal, vegetation patterning, and model calibration. Programming is
Life Science Technology and Society
Maatschappelijke context en implicaties van biotechnologische ontwikkelingen (waaronder biofarmaceutische technologie)
Plant Biotechnology
During the course, lectures will be given to introduce various aspects of Plant Biotechnology. The first set of lectures outlines the techniques used in Plant Biotechnology, including recent developments such as gene editing, and in the second set, specific examples of application of these techniques and the effects on science and society are provided. Societal
Introduction to Machine Learning (TU Delft)
This course equips students with foundational understanding of key concepts of Machine Learning (ML) and demonstrates how to solve real world problems with ML techinques. It covers the following topis: Learning Theory, Supervised Learning, Unsupervised Learning, and Transfer and Ensemble Learning
Perspectives on Sustainability Transitions in Agriculture
Sustainability transitions in agriculture seem inescapable. The nitrogen crisis, climate change, and diminishing biodiversity demand that governmental actors, nature conservation organizations, together with farmers, retailers, industry, academics and others develop alternatives to the dominant forms of agriculture. A protein transition, circular agriculture, nature inclusive and ecological farming are all proposed as alternatives. These alternatives also
Trends in Plant Reproduction Biology: from Flowers to Seeds
The evolutionary success and enormous diversity among flowering plants is mainly the result of the sexual reproduction process, which starts with flowering and results in the formation of fruits and seeds. This key process is under tight genetic and molecular control, but is also adapted to the environment. How such a conserved process can show
Abiotic Stress
Environmental (abiotic) stress is the most important limiting factor in crop productivity. This master course aims to broaden the student’s horizon in abiotic-stress biology and to gain the latest insights into the molecular mechanisms by which plants perceive such stress signals, how they are transduced, and how stress signals are eventually converted into intracellular responses
Introduction to Machine Learning 2
In this course we continue with discussing machine learning models and algorithms. While the focus in Introduction to Machine Learning 1 was on programming basic models yourself, in this course we will make more use of libraries for the elementary parts and the focus will mainly be on how to combine these parts into more
Plants and Micro Organisms
De cursus bestaat uit twee delen: planten en micro-organismen. In het plantendeel worden drie thema’s behandeld. Je bestudeert fotosynthesemechanismen (C3, C4, CAM), de invloed van interne en externe milieufactoren, en de rol van fotosynthese, ademhaling en morfologie in de koolstofbalans. Daarna verdiep je je in water- en nutriëntentransport (xyleem, floëem, transpiratie, wortelstructuur, rhizosfeer, exudaten, biotische