Courses and workshops
We want to improve your skills and expand your knowledge! Whether you are looking to become better at searching or writing, deepen your knowledge in reference management or learn more about open access, visit our courses. In our workshops, we convey useful information about research data management as well as publishing data to scientific staff.
Upcoming courses and workshops
Our courses – sorted by subject area
- Critical AI Literacy: Where LLMs Fail, Mislead, and Deskill You
- EndNote – Reference management
- GeoVITe: Exploring practices for research geodata
- Getting started – ETH Library in a nutshell
- Kartenportal.CH vs. Google Maps
- Leganto reading lists in a nutshell
- Mendeley – Reference management
- PubMed: How to use it efficiently for your literature research
- Scientific work with images
- Searching for images online – tips and tricks
- Toolbox literature research
- Workshop: Build your Reading List – Hands-on with Leganto
- Zotero – Reference management
- AI Safety for Researchers: What to do and not to do with a LLM
- AI self-study course
- Argumentation in scientific texts
- E-mail course: Introduction to project and time management
- EndNote – Reference management
- Find your reference management software!
- Getting the picture: Image-generating AI basics and best practices
- How to go Open Access
- Master your Thesis
- Mastering your Master's Thesis
- Mastering scientific writing with AI-based tools
- Pitch your Research: Building your Second Brain
- Pitch your Research: Designing better Posters
- Pitch your Research: Presenting with Impact
- Preventing plagiarism – citing correctly: also in times of AI
- Project Management Essentials: planning your thesis
- Reading scientific texts
- Ready for take-off: how to write your thesis
- Revising scientific texts
- Scientific illustrations – visualising research data
- Scientific work with images
- Stop procrastination – start writing
- Writing a convincing research proposal
All Research data management courses:
Are you in a group of at least five people and would like to have your very own course on one of these topics? Then send us an enquiry. We would be happy to organise a course tailored to your needs!
Courses for first-semester students and new members of ETH Zurich
There are currently no courses available.
There are currently no courses available.
Courses and tutorials on databases
We offer courses about the subject-specific databases licensed by the ETH Library for groups of at least five people, as well as tutorials, by arrangement.
Workshops
Our workshops are open to all scientists. For groups of five or more persons we organize individual workshops . The workshop series Research data management and related topics was developed in cooperation with Scientific IT Services.
ETH Library offers the following courses in cooperation with other units of ETH Zurich:
Doctoral candidates at ETH Zurich are required to submit a doctoral plan within their first year. In this workshop, you’ll gain not only theoretical knowledge but also practical tools and tips – whether you're developing your research idea or structuring your text. You can find further information and register on this page.
This course introduces doctoral students to AI-based tools and library resources that can support their research process. It combines practical application of these tools with critical reflection on the role of generative AI in academic work. Further information and registration can be found on this page.
The interactive course “GenAI & your Thesis – Think, Check, Declare” focuses on the reflective use of AI. Doctoral students are made aware of the responsible use of generative AI and AI-based tools in their academic work. They learn about the current guidelines for using AI in order to adhere to the principles of scientific integrity. Through discussions, peer exchange and practical exercises, topics such as the searching for and evaluating information, writing, authorship, data security and copyright are covered.
This two-day block course is aimed at doctoral students in their first two years. It covers key aspects of writing scientific papers in English and equips you with the skills needed to write your firstpaper. The course is hands-on and interactive. Participants receive 1 ECTS. Further information can be found external page on this page.
This semester-long course (3 ECTS) is aimed at doctoral students from D-EAPS and D-USYS who want to strengthen key skills for a successful doctorate. Through a blend of workshops, hands-on assignments, and peer-led sessions, students will enhance their ability to produce high-quality scientific writing. The course also covers a range of research-support areas, including generative AI tools, effective presenting, academic projectmanagement, data visualization, smart notetaking, and publishing. You can find more information on this page.
Coffee Lectures
The Coffee Lectures give you a short and compact insight into the practical application of tools in fifteen minutes. Afterwards you can ask questions. The online events take place on selected Wednesday afternoons at 3.15 p.m.
Moodle self-study courses
- In the course AI-based tools for scientific writing and research you will find extensive information on generative AI and AI-based tools in connection with literature search, reading, writing and learning.
You will find out which generative AI tools are available to members of ETH Zurich, what their strengths and weaknesses are, as well as the function, opportunities and risks of large language models. You will also receive tips on how to prompt effectively, which use cases are recommended and how you can create your own tools. You can consolidate what you have learnt in exercises and will be sensitised to scientific integrity and plagiarism. The self-study course is continuously updated and expanded. - In the course Ready for take-off: how to write your thesis, you will find out how to successfully write your thesis.
- The Moodle course Find your reference management software! supports you in choosing the appropriate reference management software as well as in citing correctly and avoiding plagiarism.