After completing this course the student will have the ability to:

• describe and apply the key methods of statistical inference;
• solve fundamental statistical inference problems both theoretically and empirically.
  

• demonstrate effective team skills in order to contribute appropriately to the production of a group output;
• work, communicate and participate effectively in a team situation and group discussions and to function as a valuable and cooperative team member.
  

Moreover, after completing this course the student will have the ability to:

• adequately communicate the results of fitting statistical models to data;
• discuss empirical findings in the light of domain knowledge.

In addition, the student will be able to:

• use R to perform statistical inference.

The course is taught as a lecture combined with homework assignments and a course project. 

In combination with the lecture, the homework assignments will help students to consolidate and expand their knowledge and understanding by developing solutions to theoretical and applied problems and have to be submitted every week via email to the lecturer.

For the course projects, teams with up to five members will cooperate in solving statistical inference problems using a mix of analytical and numerical computations and present their results for one such project.