Content, progress and pedagogy of the module

Disclaimer.
This is an English translation of the module. In case of discrepancy between the translation and the Danish version, the Danish version of the module is valid.

PURPOSE
The students will learn how to apply modern data analysis techniques using statistical methods.

RATIONALE
Statistical methods provide powerful tools for constructing abstract mathematical models and for using these models to make predictions about previously unseen data. The ability to competently apply these tools is a core skill in data science. In this project module, students will focus on the application of statistical methods and their mathematical foundations. The project will, among other things, address how statistical inference can be used to draw conclusions about an entire population based on a sample, as well as how models can be interpreted to gain insights into the data-generating process.

Learning objectives

Knowledge

• Have knowledge of how to formulate a statistical model based on a concrete problem from a domain that may lie outside mathematics.
   
• Have knowledge of how to perform statistical inference.
   
• Have knowledge of how to carry out model validation and comparison.

Skills

• Be able to formulate a relevant statistical model based on a concrete problem, taking into account the available data.
   
• Be able to use statistical software to specify and analyze a concrete statistical model.
   
• Be able to assess the validity of the obtained results

Competences

• Be able to communicate the results of a statistical analysis to non-experts who have an interest in the addressed problem.

Type of instruction

Project work

Extent and expected workload

It is expected that the student uses 30 hours per ECTS, which for this activity means 450 hours

Exam

Exams

Additional information

Contact: The Study board for Computer Science at cs-sn@cs.aau.dk or 9940 8854