Environmental Data Management and Analysis
BASIC DATA
course listing
A - main register
course code
NSO7072
course title in Estonian
Keskkonnaandmete töötlus ja analüüs
course title in English
Environmental Data Management and Analysis
course volume CP
-
ECTS credits
6.00
to be declared
yes
assessment form
Examination
teaching semester
autumn - spring
language of instruction
Estonian
English
Study programmes that contain the course
Structural units teaching the course
LM - Department of Marine Systems
Timetable link
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Õppeaine eesmärk on anda teadmisi ja oskusi keskkonnaandmete analüüsi põhialustest.
course aims in English
The aim of this course is to give knowledge and skills for the basic analysis methods for the environmental data.
learning outcomes in the course in Est.
Aine läbinud üliõpilane:
- kasutab eri formaadis andmeid ja töötab nendega (teksti ehk ASCII andmed, Excel ehk tabelites andmed, paisktabelites andmed, netCDF formaadis andmed jne);
- rakendab andmetele eri matemaatilisi meetodeid;
- rakendab andmeanalüüsiks ise kirjutatud skripte/programme MatLabis või Pythonis;
- näeb ja leiab seoseid erinevate andmete vahel;
- leiab olulisi muutusi andmeridades.
- kasutab eri formaadis andmeid ja töötab nendega (teksti ehk ASCII andmed, Excel ehk tabelites andmed, paisktabelites andmed, netCDF formaadis andmed jne);
- rakendab andmetele eri matemaatilisi meetodeid;
- rakendab andmeanalüüsiks ise kirjutatud skripte/programme MatLabis või Pythonis;
- näeb ja leiab seoseid erinevate andmete vahel;
- leiab olulisi muutusi andmeridades.
learning outcomes in the course in Eng.
After completing this course the student:
- is able to work with data in different format (e.g. text or ASCII, Excel or Tables, Hash tables, netCDF);
- applies different mathematical methods to the data;
- applies self-tailored scripts/programs either in MatLab or Python;
- sees the connection between different parameters;
- detects the turning points in the data-series.
- is able to work with data in different format (e.g. text or ASCII, Excel or Tables, Hash tables, netCDF);
- applies different mathematical methods to the data;
- applies self-tailored scripts/programs either in MatLab or Python;
- sees the connection between different parameters;
- detects the turning points in the data-series.
brief description of the course in Estonian
Õppeaines tutvutakse erinevates formaadis andmetega, mis kirjeldavad mingeid üldteada keskkonna parameetreid (nt. õhutemperatuur, tuulekiirused, veetasemed, vooluhulgad jne) ning millele on võimalik rakendada erinevaid uurimismeetodeid – statistika, pöördepunktid, spektraalanalüüs jne. Analüüsiks kasutatakse ise kirjutatud MatLabi või Pythoni programme ja skripte, et suurendada õpiväljundite mitmekesisust ning kinnistada teadmisi matemaatikast ja infotehnoloogiast.
brief description of the course in English
During the course the student will learn about data in different format describing some well-known environmental parameters (e.g. air temperatures, wind-speeds, water levels, discharge etc.) to which different analysis methods can be applied – mathematical statistics, turning point detection, spectral analysis among others. For the analysis self-made MatLab and/or Python scripts will be used to increase the range of learning outcomes and tighten the knowledge of mathematics and infotechnology.
type of assessment in Estonian
-
type of assessment in English
-
independent study in Estonian
-
independent study in English
-
study literature
Trauth H. M. MATLAB recipes for Earth Sciences, 2nd Edition.
Sarma D.D. Geostatistics with Applications in Earth Sciences, 2nd Edition.
Kaasaegne teaduskirjandus ja erinevate vajaminevate teekide dokumentatsioon.
Sarma D.D. Geostatistics with Applications in Earth Sciences, 2nd Edition.
Kaasaegne teaduskirjandus ja erinevate vajaminevate teekide dokumentatsioon.
study forms and load
daytime study: weekly hours
3.5
session-based study work load (in a semester):
lectures
1.5
lectures
-
practices
1.0
practices
-
exercises
1.0
exercises
-
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2025/2026 autumn