PhD Courses in Denmark

Entry requirements

Bachelor of Science  or alike.

 Academic preconditions

Students taking the course are expected to:

• Basic knowledge in statistics and data analysis
• Understand the basic principles of molecular biology

 Course introduction

This course aims to alleviate the lack of practice and experience in using advanced methods in computational biology through a interactive combination of short lectures and intensive hands-on sessions.

The students will gather experience in carefully selected up-to-date and powerful computational methods within bioinformatics comprising omics data analysis, statistics, image analysis and simulation of biological systems.

The students will learn how to create and apply software workflows for the analysis of complex data and gain knowledge to visually and conceptually understand and communicate underlying complex biological processes.

The workshops aim to teach modern bioinformatics to PhD and Master's students to strengthen their skills when applying bioinformatics in their projects.

The taught material will not only improve awareness of unknown or novel software, algorithms and methods but also lower the often steep learning curves for actually applying the methods. 

In the workshops, we will furthermore promote and encourage best-practice in computational biology.

 Expected learning outcome

The learning objective of the course is that the student demonstrates the ability to:

• Know most relevant bioinformatics resources
• Independently reproduce given bioinformatics examples
• Work with complex data 
• Apply advanced software tools
• Describe analytical methods in bioinformatics
• Know how to objectively discuss data analysis procedures
• Use online bioinformatics web services 

 Content

The following main topics are contained in the course:

• Introduction into software resources in bioinformatics
• Popular data analysis workflows in bioinformatics
• Application of selected software tools
• Presentation of current challenges in bioinformatics by invited experts

 Literature

See itlsearning and provided web resources for syllabus lists and additional literature references.

 Teaching Method

The teaching method is based on three phase model.

Intro phase: 10 hours

Skills training phase: 16 hours, hereof:

•  Tutorials: 16 hours

Educational activities

In the individual report, the student reproduces one of the given bioinformatics tasks. Details on the individual assignment will be discussed during the workshops. The report should consist of at least 5 pages with a maximum of 10 pages excluding references. It should contain the following sections: a) Introduction and description of assignment; b) Overview of the student's procedure to solve the task; and c) evaluation of results and conclusion.