Infrastructure for mathematics

This course discusses the concepts and maths-specific services you usually only learn about during thesis writing, during a doctorate or by word of mouth. We focus on how to do maths efficiently and sustainably. In particular:

• Do you know how to look for mathematical results, for formulae, for information about algorithms? How do you find out what is the state of the art of a field? How can you describe a mathematical object so that others know what it is? How can you make sure you sensibly compare your new results to the best ones out there? How can you make your own theoretical and computational results visible and usable for others?
• How do you properly document all the steps in a research process, from a question you are interested in to finding answers to that question up until sharing your results with your peers? Why should you? What has this to do with applying for funding?
• Have you ever wondered what arxiv is or how the publishing business works? What is (technical) peer review? How are different types of maths, like papers or computations, handled in such an evaluation process? Where and how should you store all the analogue and digital files you handle when doing maths? What are good, sustainable solutions? What is good scientific practice?

Date and time info
possibly Fridays 9-11, not confirmed yet

Keywords
good scientific practice, research data, infrastructure

Prerequisites
none

Audience
maths: undergraduate students nearing the end of their degree, PhD students, early postdocs

Language
English, questions may be asked in German