We arrange both courses and seminars. Take a look at our programme for 2020!
The course is composed of two parts: an initial prepatory part to read assigned literature followed by a field part at the field station Tovetorp in Södermanland. The vascular plant flora of central Sweden will be explored during excursions where keying out species with the help of floras will be trained, and pedagogic methods in teaching of species knowledge will be discussed. Each participant will also perform an inventory project.
The course aim is to give an overview and learn the basics on how to prepare and write a scientific paper for submission to an international, peer reviewed scientific journal. A special emphasis of the course is to consider and become familiar with the reviewing process. The course includes two parts: a first part with five meetings where different aspects of the writing process is discussed. The second part of the course consists of review seminars with a group of 3 -5 students and one invited researcher where one of the participants' manuscript is reviewed and discussed.
The course provides both fundamental knowledge and insights in recent advances in community ecology. You will learn several methods for studying community change and dynamics, including mathematical modelling, experimental- and time series analyses methods. You will also be able to frame and discuss your research interests in a community ecology context. The second week of the course is given in Öregrund, where exercises and discussions will be combined with lectures, and a final symposium will be held. Housing is provided for in Öregrund if you prefer to not commute from Uppsala.
The course aims to illustrate the application of a number of multivariate methods on ecological data. Following the course, participants should be familiar with different multivariate techniques, and how they can be applied on various types of data. The course will focus on developing an understanding of the application of multivariate techniques, with only a minimum amount of effort placed on comprehending the underlying mathematical detail.
More details at the Department of Aquatic Sciences and Assessment.
The course aims at improving the effectiveness of the scientific code you write and will teach you how to write more ordered code and to deal with the automation of data handling tasks. This will allow you to save time and handle bigger data-sets. The course includes three main themes and learning targets, those are to: 1) write reproducible code, 2) confidently manipulate data and R-objects and 3) check for and fix errors in data and code.
How and when to perform Bayesian analyses and how to interpret and report the outcome of the analyses.
Interested in how the growth of plants in relation to their biotic and abiotic environment can be assessed? Then this course should be of great interest to you. The course addresses the basic methods for measuring and assessing growth and physiology of plants in relation to the surrounding environment (plant-environment and plant-plant interaction), and provides an overview of automated methods to rapidly measure structural and functional plant properties (so called phenotyping) in modern plant phenotyping facilities.
Do you want to pursue a career outside of academia? Have you asked yourself what possibilities you, as a PhD, have in the labor market outside of the university? Do you want to improve your chances of finding your dream job?
More details to be announced.
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