Germplasm and Seed Technology
This course introduces students to a number of important aspects of plant breeding, such as the process of domestication, germplasm development and the importance of gene banks. Also, important practical aspects on bringing a cultivar to the market are discussed, such as breeders’ rights and patents, and the design of seed and plant production programs.
Germplasm and Seed Technology (online)
This course introduces students to a number of important aspects of plant breeding, such as the process of domestication, germplasm development and the importance of gene banks. Also, important practical aspects on bringing a cultivar to the market are discussed, such as breeders’ rights and patents, and the design of seed and plant production programs.
Inleiding zaadfysiologie, regulatie van groei en ontwikkeling, weefselkweek bij planten, online plant physiology (EN), plantenveredeling op HBO niveau
Life-long learning: Both larger training programs and short course days. Green biotech in Southern Netherlands
Innoveren in en met de Maatschappij
Vanaf april 2025 biedt het Copernicus Instituut een spannende en innovatieve nieuwe cursus aan: Innoveren in en met de Maatschappij. Innovatieonderzoek richt zich vaak op de markt (bedrijven), of juist de publieke sector (universiteiten en beleid). Maar uit onderzoek blijkt dat het veelal burgers en andere gebruikers zijn die een leidende rol spelen bij het
Intro to ML, data science and information systems, but also management, leadership and transitions
Life-long learning: Various short modules offered partly in-person and partly online (multiple meetings)
Intro to ML, generative AI, programming in python
Life-long learning: Masterclasses (individual meetings or modules/e-learnings) and a number of short courses
Introduction Biosystems Engineering part 1
This course is the introduction to the field of Biosystems Engineering (Agrotechnologie in Dutch). The course is split in two parts. The focus of part 1 is on getting to know the most commonly used technology in the main primary production sectors: arable farming of field crops, greenhouse plant production, livestock farming. The focus of
Introduction Biosystems Engineering part 2
This course is the second part of the introduction to Biosystems Engineering (Agrotechnologie). It focuses on familiarizing students with the various approaches taught in the program to address challenges in biosystems. Chair groups involved in the program present their methods and areas of research through lectures and, in some cases, tutorials or practicals. The Agricultural
Introduction Plant Sciences
This course is intended for first year students of the bachelor Plant Sciences. It is an introduction into the broad field of plant sciences. The students will become acquainted with agronomy, horticulture, biointeractions, plant breeding, botany and plant taxonomy. The course is divided in modules that each introduce a plant sciences discipline. For each module
Introduction to Bioinformatics
Over the last decades, a number of technologies to study DNA, RNA, proteins, metabolites and their interactions has been developed. To understand life at the molecular level, they have been applied in numerous biological and biomedical experiments. Much of the resulting data, as well as the knowledge gained in these experiments, are freely available for
Introduction to Bioinformatics for Life Sciences
Description: “Introduction to Bioinformatics for Molecular Biologists” is a joint course for the various life science Masters programs at the Utrecht University. This introductory course provides an overview of the importance of bioinformatics in various biological disciplines. While a biological background is required, no programming skills are needed. The course can be considered a general
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