IACB802: Individual project in computational Biomedicine
Study Board of Science
Teaching language: Danish or English depending on the teacher, but English if international students are enrolled
EKA: N210007102
Assessment: Second examiner: None
Grading: Pass/Fail
Offered in: Odense
Offered in: Autumn, Spring
Level: Master
STADS ID (UVA): N210007101
ECTS value: 5
Date of Approval: 19-04-2018
Duration: 1 semester
Version: Archive
Comment
01015901 (former UVA) is identical with this course description.
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.
Entry requirements
Academic preconditions
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
Content
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
Examination regulations
Exam element a)
Timing
Deadlines ordinary exam:
Projects carried out in the autumn semester must be handed in no later than 31. January.
Projects carried out in the spring semester must be handed in no later than 31. Juli.
Deadlines reexam:
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.
Tests
Written report
EKA
N210007102
Assessment
Second examiner: None
Grading
Pass/Fail
Identification
Full name and SDU username
Language
Normally, the same as teaching language
Examination aids
To be announced during the course
ECTS value
5
Additional information
The examination form for re-examination may be different from the exam form at the regular exam.
The student will be evaluated by the project supervisor on the basis of a written report descriping the results of the activity.
The student will be evaluated by the project supervisor on the basis of a written report descriping the results of the activity.
Indicative number of lessons
Teaching Method
This course is conducted as individual project work wtih supervision.
Activities during the study phase:
- Reading litteraturee
- Analyzing results
- Writing report