Students can explain the functionalities of current tools for managing projects and analysing data. On the basis of concrete requirements, they are able to select suitable tools and methods then apply these in a targeted fashion.

Students can carry out and document the planning and division of a project into phases, define milestones and monitor relevant key project performance indicators with the help of corresponding software.

Over the course of practically oriented case studies, students are able to reach reasoned decisions when selecting data analysis techniques and apply these correctly. They can assess the quality of data, perform data scrubbing and possess detailed know-how regarding the use of a range of software tools. Students can provide a structured account of the advantages, drawbacks and implementation requirements of both algorithms and available tools.

They can implement the targeted use of selected tools in order to tackle typical tasks including classification, segmentation or revealing associations. They have at their disposal a broad repertoire of statistical methods for analysing large quantities of data, and can practically implement the algorithms and processes they have learned.

None

• MPMD 2.1 Agile Project Management
• MPMD 2.2 Data Mining

• presentation: 20%
• assignment: 80%