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We recommend students with basic Machine Learning courses completed during their bachelor's or enrolled in Machine Learning Lecture at our university

In this seminar, different approaches for conducting multistep Time
Series Forecasting (TSF) are discussed mainly the following :

• Different Transformer-based Approaches, including different types of attention mechanisms.
• Multi-Layer Perceptron (MLP)-based approaches including different multiresolution approaches.
• Convolution Neural Networks (CNN), being used beyond Computer vision as a time series data encoder.
• Utilizing transformation of time series data into the frequency domain.

The following student study group should be eligible for carrying out the course :

• Für Studierende der Bachelorstudiengänge Wirtschaftsinformatik und Informationsmanagement und Informationstechnologie BSc 4-6
• Master Data Analytics Seminar I (should be carried out before Seminar II and Seminar III).