Applied Bioinformatics II
This course has a limited capacity, enrolment is based on application. The application deadline is Wednesday in week 2 for the spring semester. Please see this page for more information. You will receive confirmation of whether you received a seat in Studentweb no later than Monday the week after the deadline.
It is compulsory to attend the first lecture/orientation meeting, or you risk losing your seat. If you are unable to attend the first lecture, you must contact the Study Section (<email>firstname.lastname@example.org</email>). The time of the first lecture/orientation meeting can be found in the schedule on the course website or on Mitt UiB.
Objectives and Content
Objectives and Content
The course offers students a thorough training in the use of selected bioinformatic tools for the functional annotation of genes. The course includes projects where students work together. These exercises are based on bioinformatics research at the department. As part of working with the project, students are trained to critically evaluate methods and results. The theme of the projects may vary every year, but at the moment are based on RNA-seq. The course can be part of the Master's program in molecular biology as long as it does not overlap with the content of the master's thesis. It is the supervisor of the master thesis and course coordinator responsible for MOL217 that will together decide if there is an overlap.
The course aims to provide a thorough knowledge about selected bioinformatical tools through case-studies based on experimental data and evaluation of tool performance.
Upon completion of course MOL217, students should be able to:
- explain and discuss the choice of bioinformatics methods that can be used to explore a given problem related to the functional consequence of gene expression data, and use these methods to carry out a project assignment based on independent work and work in groups.
- analyze and discuss results from a major bioinformatics project assignment in the light of own data and data from scientific articles.
- present results and analyzes from a bioinformatics project assignment as a project report.
Required Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
In order to be admitted to the course, you must be admitted to a study programme at the Faculty of Mathematics and Natural Sciences and fulfill required previous knowledge.
Compulsory Assignments and Attendance
Project exercises and group work.Completed activities are valid for 3 semesters. The first lecture / orientation meeting is compulsory.
Forms of Assessment
Portfolio assessment. Written semester thesis consisting of individual work (70% of total marks) and report of group work (30% of total marks). Compulsory activity must be approved to take the exam.
Examination Support Material
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Ordinary exam in spring semester. In semesters with no teaching there will be no exam.
Students will evaluate the teaching in line with UiB and the department's quality assurance system.
Type of assessment: Portfolio assessment
- Submission deadline
- 31.05.2023, 14:00
- Withdrawal deadline
- Examination system
- Digital exam