NBIK10008U Bioinformatics Project 2

Volume 2013/2014
Education
MSc Programme in Bioinformatics
Content
The exact content is decided with the supervisor.
Learning Outcome

Knowledge:
The aim with these projects is to get a deep understanding of a bioinformatics topic often relating to research projects. This is often a practical biological application using the computational methods you have been introduced to in other courses, e.g. testing a biological hypothesis on massive data sets. It may also be the implementation of a new method using python or some other programming language or an entirely theoretical project.


Skills:
  • Write a bioinformatics report
  • Search for background material
  • Select and use relevant bioinformatics tools for a specific project


Competencies:
The student will obtain these general competences

  • Ability to do project work
  • Writing a scientific report
  • Presenting work orally
  • Analyze complex real-world problems
Literature
See Absalon.
Knowledge within bioinformatics. Programming at least at the level of "Linux and Python Programming" is recommended.
Individual project with a supervisor.
It is a good idea to contact a supervisor prior to the start of the block. If you are not in the bioinformatics program, you must have an agreement with a supervisor (one of the contact persons) before registering.
  • Category
  • Hours
  • Exam
  • 20
  • Guidance
  • 10
  • Project work
  • 176
  • Total
  • 206
Credit
7,5 ECTS
Type of assessment
Written assignment
Oral examination
...
Marking scale
7-point grading scale
Censorship form
No external censorship
Criteria for exam assesment

In order to achieve the grade 12 the student must

  • Complete a project in bioinformatics, which adresses an important problem and presents a solution, or a partial solution, at an adequate level.
  • Identify relevant literature and understand the parts relevant for their project.
  • Write a scientifically precise report, which motivates their work, clearly presents the background, presents the methods and results of the work without errors, discusses the implications of the results and draws scientifically sound conclusions based on the work.
  • Present the work in a clear and scientifically satisfactory way, including motivation, methods, results, main achievements and future outlook.
  • Answer questions about any part of the project in reasonable depth and explain the core methods and results of the project in great detail.
  • Put the work in context and discuss possible future directions of research in the area and judge the relevance of such work.