Advanced Computerlab Data Science

Course content

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.

Course information

Code 1294001 + 1294002
Degree programme(s) Mathematics in Finance and Industry, Data Science, Mathematics
Lecturer(s) and contact persons Dr. rer. nat. Christoph Brauer
Type of course Lecture and exercise course
Semester Winter semester
Language of instruction English
Level of study Master
ECTS credits