Language

English

Target Group

Doctoral and postdoctoral researchers from all departments at BTU with an interest in developing their data science projects. The participants have obtained key insights into Data Science with Python in previous courses.

Description

The »Data Science with Python – Research Lab« is designed to help participants develop their own data science research projects, leveraging the data science with Python knowledge gained in previous courses. This workshop series begins with a brief project identification session, followed by hands-on focus workshops for in-depth development, and is complemented by additional office hours for individual support.

Key Components of the Research Lab are:

1. Project Identification Workshop

The participants identify relevant topics and projects, briefly present their ideas, and discuss fundamental requirements, possible approaches, and any open questions with eoda coaches.

2. Focus

The previously selected or defined topics are developed practically. The focus is on the concrete application and further development of the learned content.

3. Additional support and advice

To ensure the sustainable implementation of workshop content, the eoda coaches offer individual support to discuss challenges and receive practical support even after the workshops.

Objectives

This workshop aims to integrate the developed concepts and methods into participants’ daily work. Additionally, the workshop provides an opportunity to clarify specific questions and advance individual initiatives.

Trainer

Christoph Schmidt has been a data scientist at eoda GmbH since 2017. His work there focuses on implementing data science projects and delivering training courses in Python and R. He completed a Master's degree in survey statistics at the University of Bamberg. He combines theoretical knowledge with practical experience, fostering productive learning environments through his work on projects as a data scientist and project manager. With several years of experience teaching data science, ranging from introductory courses to individual advanced courses in machine learning, the R trainer, certified by Posit (RStudio), is a seasoned professional in the field.

Time

Tuesday, 16 June 2026, 9:00 a.m. to 5:00 p.m.

Wednesday, 17 June 2026, 9:00 a.m. to 1:00 p.m.

Registration

Please register by email to researchschool+events(at)b-tu.de (Subject: Registration »Data Science with Python – Research Lab«). In your email, please indicate your status (doctoral or postdoctoral researcher) and your chair.

Registration is on a first-come, first-served basis (max. 15 participants). If the course is fully booked, we will place you on a waiting list and notify you if a spot becomes available. Please note that it may take a few days to confirm your registration.

Language

English

Target Group

Doctoral and postdoctoral researchers from all departments at BTU

Description

The online workshop is dedicated to the increasingly important role of Artificial Intelligence (AI) in academic research and writing. We will focus on the practical application of AI technologies in the context of research and scientific writing. In this introductory seminar, you will gain in-depth insights into the opportunities that AI offers researchers. 

The workshop content is split into two parts: the first covering the use of ChatGPT and prompt engineering, and the second covering other academic AI tools that can aid research and writing. We will explore both the benefits and challenges of using AI, including creative support in the conception and formulation of scientific papers.

In addition to highlighting the opportunities, we will also address the ethical aspects and risks associated with the use of AI, such as questions of copyright and the authenticity of research results. The aim of the seminar is to equip you with practical knowledge and skills so that you can use AI as an effective tool in your day-to-day research.

Through interactive elements such as case studies and group discussions, you will have the opportunity to engage directly with the content and discuss individual questions.

Objectives

• Recognise the benefits of Artificial Intelligence in academic writing and develop the ability to use various AI tools effectively.
• Understand the different capabilities of ChatGPT through correct prompting techniques.
• Discover how AI can be utilised for brainstorming and idea generation in academic contexts.
• Explore various AI tools that facilitate research and writing processes.
• Increase awareness of and evaluate ethical concerns and potential risks associated with AI use in publishing.
• Engage in critical discussions about the future role of AI in academia.

Trainer

Dr. Dimitra Lountzi studied Life Sciences and Genetics in Glasgow and Regenerative Medicine in Edinburgh. She holds a PhD in Neuroscience from the University of Bonn. She has been a coach for TwentyOne Skills since 2020, focusing on artificial intelligence, communication and negotiation skills.

Time

Tuesday, 9 June 2026, 9:00 a.m. to 4:00 p.m.

Registration (the workshop is fully booked)

This course is fully booked. To sign up for the waiting list, please send an email to researchschool+events(at)b-tu.de (Subject: Waiting List »Introduction to AI and Academic Writing«). In your email, please indicate your status (doctoral or postdoctoral researcher) and your chair.

Registration is on a first-come, first-served basis. If the course is fully booked, we will place you on a waiting list and notify you if a spot becomes available. Please note that it may take a few days to confirm your registration.