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6 course outlines found

1

BIOSCI 220

: Quantitative Biology
2022 Semester Two (1225)
Almost every biological discipline will require computational and analytical skills beyond using point-and-click software to enable the processing of biological data into biological information. Students will learn fundamentals of experimental design, data management, and data visualisation. Additionally, students will gain the skills required to critically analyse and interpret biological experiments, understanding how statistics can be both used and misused in the scientific literature. Recommended preparation: STATS 101
Subject: Biological Sciences
Prerequisite: 30 points from BIOSCI 101-109
2

BIOSCI 220

: Quantitative Biology
2022 Semester One (1223)
Almost every biological discipline will require computational and analytical skills beyond using point-and-click software to enable the processing of biological data into biological information. Students will learn fundamentals of experimental design, data management, and data visualisation. Additionally, students will gain the skills required to critically analyse and interpret biological experiments, understanding how statistics can be both used and misused in the scientific literature. Recommended preparation: STATS 101
Subject: Biological Sciences
Prerequisite: 30 points from BIOSCI 101-109
3

BIOSCI 220

: Quantitative Biology
2021 Semester Two (1215)
Almost every biological discipline will require computational and analytical skills beyond using point-and-click software to enable the processing of biological data into biological information. Students will learn fundamentals of experimental design, data management, and data visualisation. Additionally, students will gain the skills required to critically analyse and interpret biological experiments, understanding how statistics can be both used and misused in the scientific literature. Recommended preparation: STATS 101
Subject: Biological Sciences
Prerequisite: BIOSCI 101, and 30 points from BIOSCI 106-109
4

BIOSCI 220

: Quantitative Biology
2021 Semester One (1213)
Almost every biological discipline will require computational and analytical skills beyond using point-and-click software to enable the processing of biological data into biological information. Students will learn fundamentals of experimental design, data management, and data visualisation. Additionally, students will gain the skills required to critically analyse and interpret biological experiments, understanding how statistics can be both used and misused in the scientific literature. Recommended preparation: STATS 101
Subject: Biological Sciences
Prerequisite: BIOSCI 101, and 30 points from BIOSCI 106-109
5

BIOSCI 220

: Quantitative Biology
2020 Semester One (1203)
Almost every biological discipline will require computational and analytical skills beyond using point-and-click software to enable the processing of biological data into biological information. Students will learn fundamentals of experimental design, data management, and data visualisation. Additionally, students will gain the skills required to critically analyse and interpret biological experiments, understanding how statistics can be both used and misused in the scientific literature. Recommended preparation: STATS 101
Subject: Biological Sciences
Prerequisite: BIOSCI 101, and 30 points from BIOSCI 106-109
6

BIOSCI 220

: Quantitative Biology
2020 Semester Two (1205)
Almost every biological discipline will require computational and analytical skills beyond using point-and-click software to enable the processing of biological data into biological information. Students will learn fundamentals of experimental design, data management, and data visualisation. Additionally, students will gain the skills required to critically analyse and interpret biological experiments, understanding how statistics can be both used and misused in the scientific literature. Recommended preparation: STATS 101
Subject: Biological Sciences
Prerequisite: BIOSCI 101, and 30 points from BIOSCI 106-109

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