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About Study Course

Credit points / ECTS:2 / 3
Course supervisor:Baiba Vilne
Study type:Full time
Course level:Doctor
Target audience:Pharmacy; Medicine
Language:English, Latvian
Branch of science:Clinical Medicine

Objective

To acquaint doctoral students with the sources and types of big data in the modern biomedicine, as well as to give the first insight into the processing and interpretation of this data. The main focus of the course will be on the so-called OMICS data, namely GENOME, EPIGENOME, TRANSCRIPTOME, PROTEOME, METABOLOME, MICROBIOME data, as well as the integration of these data with clinical, environmental and life-style data or CLINOME/ENVIROME.

Prerequisites

Study courses in medicine or biology, preferably with additional prior knowledge in statistics and computer programming.

Learning outcomes

Knowledge

The doctoral student has gained understanding of the sources and types of large data in modern biomedicine (GENOME, EPIGENOME, TRANSCRIPTOME, PROTEOME, METABOLOME, MICROBIOME and CLINOME / ENVIROME).

Skills

The doctoral student has basic skills in handling big data. The doctoral student is able to critically analyse and explain the results obtained from big data.

Competence

The doctoral student is well familiar with the main big data analyses tools, methods and workflows and their basic principles, used by bioinformaticians.

Study course planning

Planning period:Year 2024, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Health Care (subprogramme Pharmacy), DVAfeng3DoctoralLimited choice
Health Care (subprogramme Medicine), DVAmeng3DoctoralLimited choice
Planning period:Year 2025, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Health Care (subprogramme Pharmacy), DVAfeng2DoctoralLimited choice
Health Care (subprogramme Pharmacy), DVAf2DoctoralLimited choiceBaiba Vilne
Health Care (subprogramme Pharmacy), DVAf4DoctoralLimited choiceBaiba Vilne
Health Care (subprogramme Pharmacy), DVAf1DoctoralLimited choice
Health Care (subprogramme Medicine), DVAm2DoctoralLimited choiceBaiba Vilne
Health Care (subprogramme Medicine), DVAm4DoctoralLimited choiceBaiba Vilne
Health Care (subprogramme Medicine), DVAmeng2DoctoralLimited choice