Učni načrt predmeta

Predmet:

Računska sistemska biologija

Course:

Computational Systems Biology

Študijski program in stopnja / Study programme and level	Študijska smer / Study field	Letnik / Academic year	Semester / Semester
Informacijske in komunikacijske tehnologije, 3. stopnja	Tehnologije znanja	1	1
Information and Communication Technologies, 3rd cycle	Knowledge Technologies	1	1

Vrsta predmeta / Course type

Izbirni / Elective

Univerzitetna koda predmeta / University course code:

IKT3-717

Predavanja Lectures	Seminar Seminar	Vaje Tutorial	Klinične vaje work	Druge oblike študija	Samost. delo Individ. work	ECTS
15	15			15	105	5

*Navedena porazdelitev ur velja, če je vpisanih vsaj 15 študentov. Drugače se obseg izvedbe kontaktnih ur sorazmerno zmanjša in prenese v samostojno delo. / This distribution of hours is valid if at least 15 students are enrolled. Otherwise the contact hours are linearly reduced and transfered to individual work.

Nosilec predmeta / Course leader:

prof. dr. Kristina Gruden

Sodelavci / Lecturers:

Jeziki / Languages:

Predavanja / Lectures:

Slovenščina, angleščina / Slovenian, English

Vaje / Tutorial:

Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti:

Prerequisits:

Vsebina:

Content (Syllabus outline):

Temeljna literatura in viri / Readings:

Cilji in kompetence:

Objectives and competences:

Predvideni študijski rezultati:

Intendeded learning outcomes:

Metode poučevanja in učenja:

Learning and teaching methods:

Načini ocenjevanja:

Delež v % / Weight in %

Assesment:

Ustni izpit

50 %

Oral exam

Seminarska naloga

25 %

Seminar work

Ustni zagovor seminarske naloge

25 %

Oral defense of the seminar work

Reference nosilca / Lecturer's references:

1.	Radivojac, P., ..., Džeroski, S., et al. A large-scale evaluation of computational protein function prediction, Nature Methods 10(3):221-7, 2013.
2.	Carotenuto, M., ..., Džeroski, S., et al. Neuroblastoma tumorigenesis is regulated through the Nm23- H1/h-Prune C-terminal interaction. Scientific Reports, 3:1351, 2013.
3.	Škunca, N., Bošnjak, M., Kriško, A., Panov, P., Džeroski, S., Šmuc, T. Phyletic profiling with cliques of orthologs Is enhanced by signatures of paralogy relationships. PLOS Computational Biology, 9(1): e1002852, 2013.
4.	Miljkovic, D., Stare, T., Mozetič, I., Podpečan, V., Petek, M., Witek, K., Dermastia, M., Lavrač, N., Gruden, K. Signalling network construction for modelling plant defence response. PLoS ONE, 7(12): e51822, 2012.
5.	Ramšak, Ž., Baebler, Š., Rotter, A., Korbar, M., Mozetič, I., Usadel, B., Gruden, K. GoMapMan : integration, consolidation and visualization of plant gene annotations within the MapMan ontology. Nucleic Acids Research, 42: D1167-D1175, 2014.