Courses & Tutorials

Here you will find an overview of our course offerings and online tutorials.

Course Offer and Information Competence

The University Library’s guided tours and courses are offered regularly at both City Center and Vaihingen location, especially at the beginning of the semester, however. The number of participants per course is restricted for lack of space, so please register in time via the online registration.

If required, further events and dates can be offered – for groups, seminars, tutorials, or new employees, for example.

If you are interested, please contact: Hannah Kempe or Ute Dittmar (Vaihingen).

Courses of the University Library

Introduction

If you are beginning with Master's studies at University of Stuttgart and you want to use library resources, this tour is for you. On our library tour we will familiarize you with the University of Stuttgart Library's layout and resources. You will find out about opening hours, borrowing rights, loan periods, finding books and journals, requesting items, placing holds and checking your library account. You will learn how to use our online catalog and other internet-based library services. You will learn how to access electronic journals, databases and other licensed electronic resources.

The focus will be on subjects for international Master's programs of science or engineering. Other international students, scientists or employees are also welcome.

Duration: 60 minutes

Dates and Registration

 

Courses of the TU9 Libraries

Reference management

Event for participants without prior knowledge of Citavi.

Managing sources and citations in the academic writing process requires a lot of attention, time and care. Reference management programmes can help here. In this workshop you will learn to use the programme Citavi.

  • How do I search for literature in reference management programmes?
  • How do I import title data and documents?
  • How do I structure literature based on an outline?
  • How do I create knowledge elements such as image citations from PDFs?
  • How do I insert footnote and text citations into my text?
  • How do I work with Citavi in a team?

You will get answers to these questions in the workshop and can apply your new knowledge directly to practical examples.

Please install Citavi (including Word- Add-In) on your computer before the workshop starts.
If you are attending, please make sure that your VPN access is activated.

Target audience: Researchers

Date: 07.02.2024 3:20 p.m. - 4:50 p.m.

Lecturer: Leona Maron

Tool used: Zoom

Registration:  Registration until 24h before the start of the workshop via Cituro.

Link to the original application here.

Visual material: https://hessenbox.tu-darmstadt.de/getlink/fiVQdgAVJyQaDzmjQLyj3KNx/Citavi.svg

Research Data Management

The FAIR principles aim to optimally prepare research data for people and machines and make it accessible. They are also essential building blocks in the implementation of good scientific practice.

Suppose research data management follows the FAIR principles, e.g. by documenting research data with metadata, this contributes to the usability, discoverability as well as accessibility of research results. When researchers design their research data FAIR, this ideally leads to research processes being more efficient, research results being more comprehensible, new research questions being made possible and collaborations being facilitated.

This online seminar is an introduction to research data management and shows how FAIR principles can be implemented in everyday research through personal data management.

Speaker: Dr. Kerstin Wedlich-Zachodin (KIT-Bibliothek)

Target audience: Researchers

Date: 17.01.2024 11:00 a.m. - 12:00 p.m.

Registration here.

Tool: Zoom

All participants will receive the login details upon registration.

More and more research funders call for a data management plan (DMP). Yet the benefits of such a plan do not end with the application. A DMP is essential for data management that ensures the discoverability, accessibility, interoperability as well as reusability of research data. That said, how do you create a data management plan with manageable effort?

Applying web-based software such as RDMO (Research Data Management Organizer), a DMP quickly takes shape. Interactive examples and various DMP tools demonstrate how to create a successful DMP.

Speaker: Dr. Kerstin Wedlich-Zachodin

Target audience: Researchers

Date: 30.01.2024 11 a.m. - 12 p.m.

Registration here.

Tool: Zoom

 All participants will receive the login details upon registration.

Tool: Zoom

 All participants will receive the login details upon registration.

Laboratory notebooks play an important role in planning, conducting and analysing scientific experiments. Due to digitalisation, electronic versions of the classic laboratory notebooks are becoming more and more common. These Electronic Lab Notebooks (ELNs) have the advantage that they can be connected directly to measuring devices, analysis programs or storage systems, making results easier to understand and research more efficient. In this module you will learn the basics of ELNs, we will support you in selecting the right ELN for your research. Two ELNs (Chemotion and Kadi4Mat) are presented for self-testing.

Contents:

  • Basics of Electronic Laboratory Notebooks (ELNs)
  • Benefits of ELNs
  • Assistance in selecting suitable ELNs
  • Practical examples: Chemotion and Kadi4Mat

Speaker: Carolin Leister

Target audience: Researchers

Date: 22.11.2023 9:30 a.m. - 11 a.m.

Registration here.

Tool used: Zoom

In your research, a large amount of digital data and possibly software is created. You may also reuse data and software from previous research projects. A lot of questions about research data management come along, e.g.

  • What are the "Guidelines on Digital Research Data at TU Darmstadt"?
  • Where do I save my data safely and securely?
  • How do I keep track of my data?
  • Does anyone else understand my data?
  • Who actually owns research data and who may use it?
  • What standards, best practices and tools for dealing with data are there in my field?
  • Where and how can I archive or publish selected data?
  • What happens to the data after my project is completed?
  • How does the research data team at TU Darmstadt - TUdata - support me in handling my data?

We will answer these and other - and above all your - questions during this workshop. In particular, we will get to know the TUdata tools: TUdmo, TU-GitLab, TUdatalib.

Note: Please bring along data from your own research.

Target audience: Researchers

Date: 23.11.2023 9:50 a.m. - 11:20 a.m.

Lecturer: Jürgen Windeck & Andreas Geißner

Tool used: Zoom

Registration:  Registration until 24h before the start of the workshop via Cituro.

Further information you will find here.

Visual material: here.

This course will present the basics of research data management (RDM). You will learn the most important aspects of RDM and we will explain requirements by third-party funders and how you can best fulfill those requirements.

Topics:

  • Goals of research data management
  • Research data policies
  • Data management plans
  • Data structuring and filing
  • Metadata and metadata standards
  • Long term preservation, file formats
  • Publication of data, persistent identifier
  • Support by the University Library

Technical requirements here.

Target audience: Scientific staff, Researchers

Organizer: UB TU München

Date: 24.11.2023 9 a.m. - 11 a.m.

Registration: here

Data Literacy

Workshop for participants with no prior knowledge of Python and text mining.
Text mining methods are used to automatically extract structured information from large amounts of texts. The workshop provides a first, practical introduction to the topic.
Together we will analyze the abstracts of scientific articles. As a tool we will use the Python library Natural Language
Toolkit to tokenize the texts, remove stop words and finally generate visualizations of the words which are characteristic for these abstracts. As development environment, we will use the open source software Jupyter Notebook, popular in the data science field, to run our software code and display its results.

  • How do I use a Jupyter notebook to run Python code while documenting my workflow at the same time in a meaningful way?
  • Where can I find suitable scientific text material that I can analyze automatically?
  • How do I extract the contents of a specific column from a csv file for subsequent analysis?
  • How do I use the Python library Natural Language Toolkit (NLTK) to prepare texts for a text mining analysis?
  • How do I determine word frequencies with the NLTK and then visualize them in the form of a diagram or word cloud?

You will get answers to these questions in the workshop and can apply your new knowledge directly on practical examples. After the workshop, you can use your selfcreated Jupyter notebook to repeat the analyses on your own text documents.

Please install the Python distribution Anaconda on your computer before the workshop starts. Anaconda serves as a platform for managing the required Python libraries nltk, numpy, matplotlib, and wordcloud, as well as the Jupyter notebook software. Instructions on how to install these packages in Anaconda will be provided in advance of the workshop.
The installation guide is available in PDF format (German and English) and as a video file (German), which all contain identical information.
Additional documents will be sent to you before the workshop in a separate message. If you have any questions, please feel free to contact tdm@ulb.tu-darmstadt.de at any time.

Lecturers: Jens Freund

Target audience: Researchers

Date: 17.01.2024 15:20 - 16:50 Uhr

Tool used: Zoom

Registration here.

Further information you will find here.

Visual material: here.

Bibliometrics

Do you know your h-index and your citation counts? How are impact factor and h-index defined and what is their relevance? How can you manage your scholarly identity to improve the visibility of your research?

This course provides you with an overview of bibliometric measures and academic identity management. You learn how to make sure that you get credit for all your publications in literature databases and how to improve your own publication strategy.

Topics:

Academic Identity Management

  • Visibility of authors
  • Identity management for authors via ORCID
  • Author profiles in literature databases (Web of Science/Publons, Scopus and Google Scholar)
  • Publication Guidelines of TUM (Affiliation)

Bibliometrics

  • Bibliometric measures and databases
  • Journal-level metrics (e.g. Impact Factor, CiteScore)
  • Author-level metrics (e.g. h-index)
  • Article-level metrics
  • Possibilities, limitations and adverse effects, responsible metrics
Target audience Scientists, Doctoral Candidates
 
Upcoming dates:
 

Publishing

Presentations at renowned conferences and publications in recognized journals are the currency of science. For you as a scientist it is important to make your research visible and to publish your findings. This is what dubious organizers and publishers try to exploit with fraudulent publication offers. In this course you will learn how to identify and avoid dubious offers.

Topics:

Media coverage has made the fraudulent business models of dubious providers known to the general public. Well-known scientists suddenly found themselves exposed because they had registered for pseudo conferences or had published in predatory journals.

However, it is not always easy to identify the black sheep of scientific publishing. The course will show you how to identify and avoid dubious offers. You will learn about criteria for seriousness, evaluation portals and checklists. Of course there will also be the opportunity to ask questions.

Technical requirements here.

Target audience: Scientific staff, Researchers

Organizer: UB TU München

Date: 21.03.2024 9:30 a.m. - 12 p.m.

Registration: here

Scientific Working and Writing

In this workshop, we will cover the most important stages involved in the PhD process with regards to writing: How do I plan, organize and, finally, do my writing?

Therefore, we will approach writing as a complex process, that is not linear and comes with many challenges, but also is a thrilling adventure when you see your own ideas and results become clearer and more focused every day. The more you are aware of the complexities of that process, the better you can navigate through it.

Therefore, we will look closely at how the stages of writing are connected and how you can improve your writing strategies and make conscious choices when writing your PhD.

Central questions in the workshop will be, among others:

  • How do I bring structure into my text?
  • How do I start writing (for example, when blocked)?
  • How can I revise my texts?

Lecturer: Oliver Delto (ULB Darmstadt)

Target Audience: Researchers

Date: 21.12.2023 6 p.m. - 8 p.m.

Tool: Zoom

Registration: here.

Information: here.

The workshop will be held in English. Questions in German, French and Portuguese are possible.

 

 

Ask a Librarian

 

Information Desk City Center

Holzgartenstraße 16, 70174 Stuttgart

 

Information Desk Vaihingen

Pfaffenwaldring 55, 70569 Stuttgart

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