Events

ScaDS.AI Dresden/Leipzig regularly organizes recurring series of events, which will take place monthly as well as yearly. On this page we give you an overview regarding our events. For further information please check out the subpages, which are linked for each event at ScaDS.AI. We are always looking forward to welcome many interested participants. Feel free to join our diverse national and international events.

Event Calendar

1. Juni 2023

ScaDS.AI-Tutorial: Data Preparation for Data Analysis - Part 1

ScaDS.AI-Tutorial: Data Preparation for Data Analysis - Part 1

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1. Juni 2023

The term Data Analysis or Data Mining describes the systematic application of statistical methods to identify structures, dependencies, and relationships in sometimes very large data sets and to gain new knowledge, where computer-aided methods are used in the individual process steps. The content and scope of the respective steps depend, among other things, on the problem domain, the analysis goal, and other technical aspects like the available data sources or the representation of the data. A relevant process step is the preprocessing of these data (data preparation) to increase their quality for the subsequent analysis.

In this part of the training, various aspects of the Data Mining process and data preparation will be examined theoretically as well as practically using an example data set and working through prepared Jupyter Notebooks. It covers the restructuring and indexing of the data as well as the detection and handling of missing values.

Course Details

Title: Data Preparation for Data Analysis - Part 1
Speakers: Matthias Täschner
Next Session: 01.06.2023, 9 a.m. - 12 p.m.
Target Group: Anyone regularly working with data and an interest in learning about various data preprocessing steps to improve analysis results.
Number of participants: 15
Language: English / German
Format: Tutorial, hybrid
Registration: Will be opened soon.

Registration is required. Participation is free of charge.
Add this event to your calendar (iCal).

Agenda

  • Introduction to general aspects of Data Mining and the process of data preparation (10%)
  • Hands-on tutorial on data preparation with focus on data restructuring, indexing and missing values (90%)

Handouts

The following documents (slides, sample applications) will be provided to the participants:

  • PDF of the slides for “Introduction to Data Mining and data preparation”
  • CSV file (world bank data on development and health indicators)
  • Jupyter Notebooks on data preparation with tasks and solutions

Prerequisites

  • Participants should have at least intermediate up to advanced knowledge in Python 3.x
  • Basic knowledge on how to use Jupyter Notebooks
  • Basic knowledge of the Python packages NumPy and Pandas recommended
  • Laptop with internet access - equipment can be provided on site if required (please enquire as numbers are limited)

Learning Outcomes

After the training, participants will be familiar with theoretical considerations and practical approaches to data preparation using Python with NumPy, Pandas and other packages.

More information

LLLS #22: Immersive Analysis of Trajectories Utilizing the Unreal Engine

LLLS #22: Immersive Analysis of Trajectories Utilizing the Unreal Engine

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1. Juni 2023

In her lecture, Franziska Kahlert highlights the potential of using game engines to create scientific visualizations. Specifically, she focuses on the goals and challenges of creating immersive visualizations using virtual reality technology, using the example of trajectory analysis. Kahlert argues that virtual reality environments offer unique opportunities for scientists to explore and analyze complex data sets in new ways, but also pose significant technical and design challenges.

To address these challenges, Kahlert suggests that scientists consider using the Unreal game engine, which is freely available and offers a range of tools and features for prototyping and developing immersive visualizations. By leveraging the power of game engines, scientists can create more engaging and interactive visualizations that allow them to better understand and communicate complex scientific concepts. Overall, Kahlert’s lecture highlights the importance of exploring new technologies and tools for scientific visualization, and offers practical advice for scientists looking to incorporate immersive visualizations into their research.

More information

ScaDS.AI-Tutorial: Data Preparation for Data Analysis - Part 2

ScaDS.AI-Tutorial: Data Preparation for Data Analysis - Part 2

–
1. Juni 2023

The term Data Analysis or Data Mining describes the systematic application of statistical methods to identify structures, dependencies, and relationships in sometimes very large data sets and to gain new knowledge, where computer-aided methods are used in the individual process steps. The content and scope of the respective steps depend, among other things, on the problem domain, the analysis goal, and other technical aspects like the available data sources or the representation of the data. A relevant process step is the preprocessing of these data (data preparation) to increase their quality for the subsequent analysis.

In this part of the training, the detection and handling of outliers, the imputation of missing values as well as a final comparison of the analysis results based on different variants of preprocessing will be covered.

Course Details

Title: Data Preparation for Data Analysis - Part 2
Speakers: Matthias Täschner
Next Session: 01.06.2023, 1 p.m. - 4 p.m.
Target Group: Anyone regularly working with data and an interest in learning about various data preprocessing steps to improve analysis results.
Number of participants: 15
Language: English / German
Format: Tutorial, hybrid
Registration: Will be opened soon.

Registration is required. Participation is free of charge.
Add this event to your calendar (iCal).

Agenda

  • Introduction to general aspects of Data Mining and the process of data preparation (10%)
  • Hands-on tutorial on data preparation with focus on outlier detection and handling, imputation of missing values and comparison of preprocessing steps (90%)

Handouts

The following documents (slides, sample applications) will be provided to the participants:

  • PDF of the slides for “Introduction to Data Mining and data preparation”
  • CSV file (world bank data on development and health indicators)
  • Jupyter Notebooks on data preparation with tasks and solutions

Prerequisites

  • Participants should have at least intermediate up to advanced knowledge in Python 3.x
  • Basic knowledge on how to use Jupyter Notebooks
  • Basic knowledge of the Python packages NumPy and Pandas recommended
  • Laptop with internet access - equipment can be provided on site if required (please enquire as numbers are limited)

Learning Outcomes

After the training, participants will be familiar with theoretical considerations and practical approaches to data preparation using Python with NumPy, Pandas and other packages.

More information

Never miss out on our events by downloading the iCal for all ScaDS.AI Dresden/Leipzig events .

Target groups for our events

With our interdisciplinar events, we reach out to a broad national and international audience. Therefore, we engage with scientists, politicians or companies and with society itself. We want to share our knowledge regarding AI, Big Data and Data Science to eliminate prejudices, worries or fears regarding this important, but often just not yet graspable technology. Our main focus areas are Education, Transfer and Research. Furthermore, our Living Lab organizes a variety of interesting events for the public. ScaDS.AI Dresden/Leipzig also regularly participates in external events as well as international conferences and fairs.

Events at ScaDS.AI
an overview

  • Summer Schools: Each year a broad audience of internationally renowned speakers and interested participants takes part in our Summer School to discuss current AI and Big Data topics.
  • Living Lab Lecture Series: Each month our researchers discuss interesting topis surrounding AI, Big Data, Data Science or Computer Science with you. Previous lectures are published on YouTube!
  • Pillars & Umbrellas: This event series is a cooperation with the Gender Equality Commissioner and Women’s Representative at TU Dresden and reflects on the core themes of gender equality, participatory justice, sustainability, and cultural diversity, such as the tension between AI and society in a variety of formats.

  • Hands-On Demonstrator Series: Each month, we showcase the accomplishments, discoveries, improvements and educational tools of our team to the public. The events consist of an introductory talk, a Q&A and a hands-on session.
  • Girls‘ Day: Once a year, we invite participants to gain insights into the everyday working life as a female scientist in our center. This national initiative inspires girls and women to make stereotype free career choices.
  • tryING: Each year, TU Dresden invites high school graduates for trial studies in engineering and STEM. We participate to awaken their interest for work in the field of Artificial Intelligence and Big Data.
  • Hackathons: At our interdisciplinary Hackathons, students, researchers and all interested people are welcome work together in teams to find solutions for unique problems in the fields of AI and Big Data.

  • Data Week: This one-week event, which we help to organize, is dedicated to digitization and its‘ application in various aspects of life. Therefore we talk about AI and Data from a scientific, politic and also social perspective. Various target groups are invited to discuss and engage with us in Leipzig.
  • Big Data in Business (BDIB): This one day workshop gives users of AI and Big Data in business a platform to discuss their practical insights, ideas and challenges. With BDIB we aim to improve the exchange between research, stakeholders and application partners in the AI and Big Data industry.
  • ai.Lounge: Each month we welcome representatives of science and business to discuss application areas of AI in a relaxed atmosphere. Our ai.Lounge offers interesting talks and networking opportunities as well as a drink to end the evening with.
TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut

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