IACB802: Individual project in computational Biomedicine (5 ECTS)

STADS: 01015901

A supervisor contract and project statement must be submitted. This must take place no later than one week after the semester has started, but it is recommended, that it is submitted as soon as possible after registration.

Fill in and submit: Supervisor contract for students with a major from the Faculty of Science 

Fill in and submit: Supervisor contract for students with a minor from the faculty of science and majored from another faculty

Be aware that it is not possible to fill in the form after deadline of submission, since the application system will shut down. The system will reopen in connection with the next course registration, then you can fill out the form for the next semester.


Level
Master's level course

Teaching period
The course is held twice a year, once in the autumn semester and once in the spring semester.

Teacher responsible
No responsible teachers found, contact the department if necessary

Timetable
There is no timetable available for the chosen semester.

Prerequisites:
None

Academic preconditions:
This course cannot be chosen without prior agreement with a supervisor.

Course introduction
The aim of the course is to give the student an introduction to carrying out a small research project. The student will be trained in obtaining knowledge within the chose topic, finding and presenting a scientific problem, and then address the problem in a scientific manner using relevant literature. The problem can be within the broad filed of Computational Biomedicine, and the project can be based on experimental work and/or theoretical studies.

The course builds on the knowledge acquired during the bachelor project and gives an academic basis for studying the self-chosen topics and the master thesis, that are part of the degree.

In relation to the competence profile of the degree it is the explicit focus of the course to:

  • Have an overview of scientific principles and scientific methods
  • Be able to analytically respond to scientific results, and evaluate them
  • Express oneself in a precise and correct scientific language
 


Expected learning outcome
The learning objective of the course is that the student demonstrates the ability to:
  • Work independently with a chosen topic within Computational Biomedicine
  • Write a report using correct scientific terms


Subject overview
The course will give the student knowledge of how to investigate and present a scientific problem, and teach the student how to work independently. The course will teach the student to use correct scientific language and examine scientific results critically. The report will demonstrate that the student has acquired sufficient knowledge of the topic, in order to present and attempt to solve a scientific problem within a specific topic.
 


Literature
There isn't any litterature for the course at the moment.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
  1. Written report, (5 ECTS), Internal marking, pass/fail.
Deadlines
Projects carried out in fall-semester must be handed in 31 January; projects carried out in spring-semester must be handed in 31 July.
 
Deadline for handing in projects in the reexam period for winter examination is 1 march at the latest. Deadline for handing in projects in the reexam period for summer examination is 31. august.


Expected working hours
The teaching method is based on three phase model.

  • Læsning af litteratur
  • Analyse af resultater
  • Udarbejdelse af rapport

Den individuelle studieaktivitet er projektarbejde, som udføres selvstændigt under vejledning.
Educational activities
  • Reading litteraturee
  • Analyzing results
  • Writing report
 
Educational form
This course is conducted as individual project work wtih supervision.

Language
This course is taught in Danish or English, depending on the lecturer. However, if international students participate, the teaching language will always be English.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.