Concepts for Quick Prototyping in Artificial Intelligence

The course comprises two parts, a lecture component and a prototype development component. In the first part, current trends in artificial intelligence are discussed and an introduction to deep learning is provided, with a focus on Convolutional Neural Networks and time series models. Then the course treats the tuning of existing deep learning models, with a focus on the possibilities for adaptation and available methods. In the second part of the course, students develop a prototype to solve a problem, where the solution must be based on machine learning principles. Students are expected to interpret and document the development process and write a report on the results.