BMB513: Bioinformatics II (5 ECTS)

STADS: 01001301

Level
Bachelor course

Teaching period
The course is offered in the autumn semester.
2nd quarter.

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

Timetable
There is no timetable available for the chosen semester.

Comment:
Afholdes som læsekursus

Prerequisites:
None

Academic preconditions:
BMB 511 Bioinformatics I, DM502 Programming A & DM503 Programming B must be passed.

Course introduction
This course will introduce some new topics as well as follow up on some of the topics introduced in Bioinformatics I in greater detail. There will be an emphasis on the practical aspects of Bioinformatics that have relevance in the Biotech/Drug Discovery industry and which address new and current technologies to help prepare students for a career in this field.

Qualifications
Knowledge about current industrial technologies and trends as they relate to the bioinformatics area. Knowledge regarding the mathematical basis for the bioinformatics tools that are commonly used by researchers (e.g. alignment algorithms), as well as practical experience using some of these tools or using similar techniques. Knowledge and hands-on experience so that the student will be better prepared to enter the workforce as a bioinformatician.

Expected learning outcome


Subject overview
Mathematical and statistical analysis (Hidden Markov Models, Neural Networks, Sequence Alignment and Pattern Matching in DNA and proteins, associated algorithms), database systems in biology (design, data integration, data mining), modeling (metabolomics, cellular process dynamics, protein/chemical structure modeling), predictive methods (phylogenetic analysis, protein structure), and genomics analysis (cDNA arrays/RNA profiling, normalization, cluster analysis, pathway analysis, SNPs).

Literature

• oplyses senere.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
Project assignment, Internal evaluation by 2 lecturers. Marks according to the Danish 7-scale.

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

Eksaminatorietimer/opgaveregning 30 timer. Laboratorieøvelser 20 timer.
Educational activities

Language
This course is taught in English.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.