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 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
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
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
Philosophy of AI (UvA)
In this course, we approach (the philosophy of) artificial intelligence (AI) from the perspective of theoretical philosophy. The course focuses on the discussion of the intelligence of artificial intelligence, in particular against the backdrop of the debate between nativists and empiricists. We will do so, following Cameron Buckner’s very recent book From Deep Learning to
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
Principles of Plant Breeding
Online version of the course plant breeding. E-learnings. This course introduces students to key principles of plant breeding. Plant breeding is the science-driven creative process of changing the traits of plants in order to develop new plant varieties. Several essential approaches and tools used in the process are discussed: different modes of reproduction, selection methods,
Breeding for Abiotic Stress Tolerance
Abiotic stress is the stress imposed on plants by the non-living environment. Abiotic stress is responsible for huge yield losses in crops around the world. In this course we will assess the impact that abiotic stresses (like drought, salinity, nutrient deficiency, temperature) have on agricultural production, and provide you with knowledge and tools for successfully