Advanced Computerlab Data Science

Course content

The students remember and understand the basic tasks and method of mathematicl algorithms and their praktical appliastion, are able to use mathematical programming tools, are able to apply, analyze and implement mathematical algorithms, are able to document and present mathematical algorithms.

In the Advanced Computerlab Data Science, current machine learning models are implemented, trained, applied and interpreted in order to work on practical questions on the basis of extensive structured or unstructured data sets. Fundamentals and techniques imparted on a theoretical level (e.g. models and their evaluation, optimization algorithms, interpretation techniques) are applied and expanded in practice by means of functions provided in various frameworks (e.g. TensorFlow, Keras, Matplotlib). The independent implementation of machine learning models in Python forms a further focus in addition to the use of specialized frameworks.