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

Literature Research

In this workshop, scientists will learn how to use tools to find thematic literature related to their research focus.

  • How can I develop a research strategy plan?
  • How do I choose the appropriate research tool for my search query?
  • How do I keep up to date with new publications in my research area?
  • How do I evaluate my search results?
  • How do I manage the literature I have found?

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

If you are attending, please make sure that your VPN access is activated.

Target audience: Scientists

Date: 22.12.2022 1:30 pm - 3 pm

Tool used: Zoom

Link for registration here.

Further information here.

Visual material: https://hessenbox.tu-darmstadt.de/getlink/fiDUSbmK5wt4yTWB7Y9MuoNz/Literaturrecherche.jpg

Reference management

Citavi offers more! You are already familiar with Citavi - either from our introductory course or by practical experience with the programme. In the advanced course you will deepen your knowledge of the features with which Citavi supports you in your academic work.

Topics:

The agenda will be set by the participants at beginning of the course. In addition to your own questions we offer the following topics:

  • More structure: categories – keywords – groups
  • Creating grouped reference lists
  • Standardizing author and journal names
  • Dealing with PDF-files
  • Changing citation styles
  • Organise knowledge elements in Citavi – create scripts
  • Inserting quotations in Word – special cases
  • Formating reference lists in Word
  • Planning tasks in Citavi
  • Work in a team – cloud projects

Requirements: Participation in a Citavi - Introductory Course or practical experience with the programme

Target audiance: Students, scientific staff, researchers

Technical requirements: here.

Date:

23.11.2022 2pm - 4pm
01.03.2023 2pm - 4pm

Registration: here

You are already familiar with EndNote - either from our introductory course or by practical experience with the programme. In the advanced course you will deepen your knowledge of features with which EndNote supports you in your academic work.

Topics:
The agenda will be set by the participants at beginning of the course. In addition to your own questions we offer the following topics:

  • Handling PDFs
  • Finding and organising your references in EndNote
  • Using EndNote collaborativly
  • Writing in Word
  • Modifying & importing citation styles
  • Further import options

Requirements: Participation in the EndNote - Introductory Course or practical experience with the programme.

Target audience: Students, Researchers, Scientific staff

Date:

29.11.2022 2pm - 4 pm
28.02.2023 2pm - 4 pm

Registration: here

Technical requirement: here.

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: 07.02.2023 1:30 pm - 3 pm

Lecturer: Andre Pfeifer & Leona Maron

Tool used: Zoom

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

Link for original application here.

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

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 (https://www.anaconda.com/products/individual) 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 can be found here.
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: Andre Pfeifer & Jens Freund

Target audience: Scientific Staff

Date: 09.01.2023 11:40 am - 1:20 pm

Tool used: Zoom

Registration here.

Further information you will find here.

Visual material: here.

EndNote is an apt assistant for the organisation of read and evaluated literature when writing scientific papers (Bachelor's andMaster's theses, dissertations).
It also facilitates a structured working process and makes citing sources much easier.
Among scientists, EndNote is a widely used commercial programme, which requires having your own licence.
This course helps you to get started with the programme. After an overview of what EndNote 20 is generally capable of, you will particularly learn how to:

  • efficiently record and edit references with EndNote 20,
  • integrate PDF documents,
  • structure your collected literature with EndNote 20,
  • create bibliographies in Microsoft Word at the click of a
    mouse and to cite them consistently.

You will have the opportunity to ask questions and exchange ideas with other participants.
If you do not have your own EndNote licence, you can install a 30-day trial version on your device in advance.

Prior knowledge: No prior knowledge required.

Target audience: Students, Researchers

Date: 30.11.2022 10:00 am -11:30 am

Registration: about the calendar of events.

Research Data Management

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: 24.10.2022 11:40 am - 1:10 pm

Lecturer: Andre Pfeifer & Jürgen Windeck

Tool used: Zoom

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

Further information you will find here.

Visual material: https://hessenbox.tu-darmstadt.de/getlink/fiJiriAyQirWjvE31pz3vgX5/Forschungsdatenmanagement.png

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

Date:

10.11.2022 9 am - 11 am
21.03.2023 9 am - 11 am

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 (https://www.anaconda.com/products/individual) 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 can be found here.
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: Andre Pfeifer & Jens Freund

Target audience: Scientific Staff

Date: 09.01.2023 11:40 am - 1:20 pm

Tool used: Zoom

Registration here.

Further information you will find here.

Visual material: here.

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

Date: 28.03.2023 9:30 am - 12:00 am

Registration: here

Preregistration has received increased attention in recent years and its benefits are widely acknowledged, not just among the Open Science Community. Deliberate, formalized and careful planning as well as decision making in advance when conducting scientific studies can lead to increased quality and counteract various flaws in the current system. The workshop will outline these flaws, describe systemic and personal benefits of preregistration, give an overview of the available methods as well as address common concerns and obstacles in this context.

Lecturer: Katharina Zinke & Kay-Michael Würzner (Open Science Lab, SLUB Dresden)

Date: 16.01.2023 9 am - 11 am

Tool used: Zoom

Registration and further information: 

The University Library at ILIAS

E-Learning, tutorials, and more...

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Information Desk City Center

Holzgartenstraße 16, 70174 Stuttgart

 

Information Desk Vaihingen

Pfaffenwaldring 55, 70569 Stuttgart

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