Learning outcomes

Students acquire he skills and competences required in advanced level studies in bioinformatics.

Content

Advanced level studies in bioinformatics.

Evaluation

Belongs to following modules

Advanced Studies

BIOADVC Compulsory Advanced Studies 68–71 ECTS

68–71 ECTS

BIO2200 Introduction to Computational Biology, 3 ECTS

BIO4280 Algorithms in Bioinformatics, 4 ECTS

BIO4440 Biological Data Analysis with R, 5 ECTS

BIO4270 Bioinformatics, Programming Course, 4 ECTS

BIO4450 High-throughput Data Analysis, 5 ECTS

BIO4290 Tools for Intelligent Data Analysis, 4 ECTS

BIO4380 Bioinformatics Project, 3–6 ECTS

BIO4031 M.Sc. Thesis, 40 ECTS

BIOADVE Elective Advanced Studies 15–20 ECTS

15–20 ECTS

BIO4240 Structural Bioinformatics, 3–6 ECTS

BIO4230 Phylogenetics, 4 ECTS

BIO4460 Journal Club, 2 ECTS

BIO4390 Major Transitions in Evolution, 3 ECTS

BIO4340 Text Mining in the Biomedical Domain, 3 ECTS

BIO4211 Genomics, Transcriptomics and Proteomics, 4 ECTS

BTK4410 Cancer Biology, 4 ECTS

BTK4500 Immunology, 4 ECTS

BTK4310 Regulation of Gene Expression, 10 ECTS

BIO4703 TUT SGN-56006 Laboratory Course in Information Technology for Health and Biology, 5 ECTS

BIO4704 TUT SGN-52406 Models of Gene Networks, 3 ECTS

BIO4705 TUT SGN-52606 Processing of Biosignals, 5 ECTS

BIO4706 TUT SGN-53006 Computational Modeling in Biomedical Problems, 5 ECTS

BIO4707 TUT SGN-53206 Cell Culturing, Microscopy and Cell Image Analysis, 3 ECTS

BIO4708 TUT SGN-41006 Signal Interpretation Methods, 4 ECTS

BIO4709 TUT TIE-20106 Data Structures and Algorithms, 5 ECTS