Anna Lainé

 
Position:

Research Assistant

Phone:
2529

Room:
4.043

E-Mail:
anna.laine(at)tuhh.de

 

 

Research work

2021:
Project D3M (Data-Driven Decision Making) with the Hamburg Open Online University. Creation of an online learning arrangement about the problems of decision making, in the form of a game.

2020:
Project QuaXP (Data Quality Explored) with the Hamburg Open Online University Creation of an online learning arrangement about data quality. The course is openly accessible here: https://www3.tuhh.de/sts/hoou/data-quality-explored/.

Blog articles:
- Announcement of the project: https://www.hoou.de/blog/announcement-of-the-project-data-quality-explored-quaxp
- Combining beginner and advanced levels under the same teaching offer: https://insights.tuhh.de/de/blog/projekte/2020/05/06/combining-beginner-and-advanced-levels-under-the-same-teaching-offer-finding-the-right-example-task
- Why making a two-tier data science course for mixed types of learners: https://insights.tuhh.de/de/blog/projekte/2020/10/29/why-making-a-two-tier-data-science-course-for-mixed-types-of-learners

2018-2019:
Participation in the project MaLiTuP (Maschinelles Lernen in Theorie und Praxis) in cooperation with the MLS institute (https://www.tuhh.de/sts/research/data-protection-machine-learning/malitup.html). Creation of a course teaching the fundamentals of machine learning for students in maritime logistics.
Publication: Kastner, M., Franzkeit, J. & Lainé, A., (2020). Teaching Machine Learning and Data Literacy to Students of Logistics using Jupyter Notebooks. In: Zender, R., Ifenthaler, D., Leonhardt, T. & Schumacher, C. (Hrsg.), DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V.. Bonn: Gesellschaft für Informatik e.V.. (S. 365-366).