Basic Machine Learning for Bioinformatics
Modern biology increasingly relies on vast datasets generated through genomic, transcriptomic, and single-cell omics techniques. To make sense of these large-scale data and extract meaningful patterns or predictions, machine learning (ML) has become essential. This course introduces students to the foundational principles and techniques of ML as applied to biological data. Students learn the differences
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
Advanced Biotechnology (UCU)
This is one of the final courses in a series of three courses in molecular cell biology. In the first introductory course (UCSCIBIO11), you gained a lot of basic knowledge about the major characteristics of life on Earth. In the intermediate UCSCIBIO21 course, we explored the molecular world of the cell in more detail and
Societal Challenges & Innovation Theory
The analysis of innovation processes is much more powerful when using theories of socio-technical change and innovation. Theories of socio-technical change and innovation can be a powerful tool to understand and help solve some of the grand challenges that our society faces. The course focuses on the UN Sustainable Development Goals (SDGs), like SDG 3
Plant Physiology and Development
Het centrale thema in deze cursus is het functioneren van de plant in relatie tot haar omgeving. Omdat planten niet mobiel zijn, stemmen zij hun groei en ontwikkeling voortdurend af op veranderende omgevingsfactoren, zoals (a)biotische stress en seizoensgebonden signalen. De cursus behandelt zowel basale processen die nodig zijn voor groei en ontwikkeling, als de moleculaire
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
Data Science Ethics Colloquium Series
Ethical and legal considerations are essential to many applications of data science. This colloquium series is intended to make the students aware of such considerations and to give them the vocabulary to discuss those matters with experts of legal and ethical aspects. Furthermore, the colloquium will enable students to develop an understanding of professional integrity
Applied Plant Biology
This course consists of 4 modules. Information/insights obtained within previous modules will be implemented in later ones. Module 1: Masterclasses by guest-lecturers from the green sector; academia, industry, finance and (semi)governmental organizations. Teaching/learning format: Lectures + discussion, writing assignment Module 2: Identifying current challenges in applied molecular Plant biology. Teaching/learning format: Project presentation + discussion
Plant-Environment Interactions
General lectures on plant-environment interactions will set the stage for an advanced-level course on how plants adjust to their environmental factors. The case studies discussed in this interactive course include drought, temperature, salinity, flooding, and nutrient stresses. Students will independently study the latest developments in plant responses and plasticity towards variations in their environment. The
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