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3 course outlines found

1

ENVSCI 705

: Handling Environmental Data
2022 Semester One (1223)
Contemporary approaches to understanding and analysing environmental data with an emphasis on developing skills to support the ‘transformation, visualisation, modelling’ cycle. The importance of adopting reproducible research practices (eg, data and code archiving) will be emphasised. The course focuses on an applied laboratory component and will be taught in open-source software. Assessment will be via projects analysing environmental data. No formal prerequisites but an understanding of basic statistical methods equivalent to STATS 101 will be presumed.
Subject: Environmental Science
No pre-requisites or restrictions
2

ENVSCI 705

: Handling Environmental Data
2021 Semester One (1213)
Contemporary approaches to understanding and analysing environmental data with an emphasis on developing skills to support the ‘transformation, visualisation, modelling’ cycle. The importance of adopting reproducible research practices (eg, data and code archiving) will be emphasised. The course focuses on an applied laboratory component and will be taught in open-source software. Assessment will be via projects analysing environmental data. No formal prerequisites but an understanding of basic statistical methods equivalent to STATS 101 will be presumed.
Subject: Environmental Science
No pre-requisites or restrictions
3

ENVSCI 705

: Handling Environmental Data
2020 Semester One (1203)
Contemporary approaches to understanding and analysing environmental data with an emphasis on developing skills to support the ‘transformation, visualisation, modelling’ cycle. The importance of adopting reproducible research practices (eg, data and code archiving) will be emphasised. The course focuses on an applied laboratory component and will be taught in open-source software. Assessment will be via projects analysing environmental data. No formal prerequisites but an understanding of basic statistical methods equivalent to STATS 101 will be presumed.
Subject: Environmental Science
No pre-requisites or restrictions