CSEE&T 2024
Mon 29 July - Thu 1 August 2024 Würzburg, Germany
Tue 30 Jul 2024 11:15 - 11:37 at Room 1 - AI and Machine Learning Applications Chair(s): Stephan Krusche

In today’s data-driven world, the importance of data literacy is paramount. However, software engineering education has lagged in integrating comprehensive data science curricula, leaving students ill-equipped for the future of artificial intelligence (AI), which is built on the foundations of data science. This gap is exacerbated by the lack of tailored courses and the intimidating nature of existing tools for beginners. Consequently, students often miss out on essential skills like data cleanup, real-world application of machine learning (ML) algorithms, and the integration of big data in software products.

This paper addresses these challenges by proposing a novel approach to applied data science for software engineering students. We argue for a shift from traditional algorithm-focused teaching to a curriculum emphasizing real-world problem-solving, leveraging data science techniques. By empowering students to define and tackle their own data-driven projects, we aim to increase motivation, enhance data literacy, and instill a data thinking mindset in future software engineers to prepare them for the AI world.

Tue 30 Jul

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:30 - 12:00
AI and Machine Learning ApplicationsResearch Track at Room 1
Chair(s): Stephan Krusche Technical University of Munich
10:30
22m
Talk
Leveraging Open Source LLMs for Software Engineering Education and Training
Research Track
Juanan Pereira , Juan Miguel Lopez , Xabier Garmendia , Maider Azanza University of the Basque Country (UPV/EHU)
10:52
22m
Talk
Navigating the AI Frontier: A Critical Literature Review on Integrating Artificial Intelligence into Software Engineering Education
Research Track
Chandan Kumar Sah Beihang University
11:15
22m
Talk
Adapting Computational Skills for AI Integration
Research Track
Hanya Elhashemy , Hal Abelson Massachusetts Institute of Technology, Tilman Michaeli TU Munich
11:37
22m
Talk
Towards Integrating Emerging AI Applications in SE Education
Research Track
Michael Vierhauser University of Innsbruck, Clemens Sauerwein University of Innsbruck, Tobias Antensteiner , Iris Groher Johannes Kepler University, Linz

Information for Participants
Tue 30 Jul 2024 10:30 - 12:00 at Room 1 - AI and Machine Learning Applications Chair(s): Stephan Krusche
Info for room Room 1:

Enter the building and take the main stairs or elevator to the top floor.