After successful completion of the course, students are able to
The domain-specific lecture is part of the corresponding module in the Data Science curriculum and forms a thematic block together with the lecture series 194.046 Interdisciplinary Lecture Series on Data Science, as well as the project course 194.047 Interdisciplinary Project in Data Science.The domain-specific LVA, to be selected from the list below, forms the basis for the work in the corresponding interdisciplinary project. Therefore, this course should ideally be completed before, or possibly during, the corresponding project.
The list of approved domain-specific lectures (partially at TU Wien, partially at other universities) comprises of:
Further lectures will be added in alignment with the Interdisciplinary Lecture Series in Data Science (194.046) These will likely include (provisional announcement):
The selection of the respective lecture must align with the topic chosen for the course 194.047 Interdisziplinary Project in Data Science.
Contents are presented in lectures and may be elaborated by students in accompanying exercises or supplemented by excursions. In addition, the students may have to solve homework and larger case studies alone or in groups. If necessary, appropriate tools are used.
The assessment is based on written tests, continuous evaluation as part of exercises, as well as by the evaluation of assignments and/or presentations. Details are available in the respective course descriptions.
Not necessary