Quantitative Life Sciences Table
Errata
| Item | Errata | Date |
|---|---|---|
| 1. | BCHM3092 Proteomics and Functional Genomic Prerequisites have changed. They now read: P [12cp from (BCHM2X71 or BCHM2X72 or BCMB2X01 or BCMB2X02 or DATA2002 or ENVX2001 or BIOL2X22 or GEGE2X01 or MBLG2X71 or QBIO2001)] OR [BMED2401 and BMED2405 and 6cp from (BCHM2X71 or BCMB2X02 or MBLG2X71)] | 1/2/2018 |
| 2. | BCHM3992 Proteomics and Functional Genomics (Adv) Prerequisites have changed. They now read: An average mark of 75 or above in 12cp from (BCHM2X71 or BCHM2X72 or BCMB2X01 or BCMB2X02 or DATA2002 or ENVX2001 or BIOL2X22 or GEGE2X01 or MBLG2X71 or QBIO2001)] OR [BMED2401 and a mark of 75 or above in BMED2405 and a mark of 75 or above in 6cp from (BCHM2X71 or BCMB2X02 or MBLG2X71)] | 1/2/2018 |
| 3. | ENVX1002 Introduction to Statistical Methods: Prohibitions have changed. They should now read N: ENVX1001, MATH1005, MATH1905, MATH1015, MATH1115, DATA1001, BUSS1020, STAT1021 and EMCT1010 | 1/2/2018 |
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
QUANTITATIVE LIFE SCIENCES |
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| Advanced coursework and projects will be available in 2020 for students who complete this major. | |||
Quantitative Life Sciences major |
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| A major in Quantitative Life Sciences requires 48 credit points from this table including: | |||
| (i) 6 credit points of 1000-level selective units | |||
| (ii) 6 credit points of 1000-level core units | |||
| (iii) 12 credit points of 2000-level selective units | |||
| (iv) 6 credit points of 3000-level methodology units | |||
| (v) 18 credit points of 3000-level selective specialisation units | |||
Quantitative Life Sciences minor |
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| A minor in Quantitative Life Sciences requires 36 credit points from this table including: | |||
| (i) 6 credit points of 1000-level selective units | |||
| (ii) 6 credit points of 1000-level core units | |||
| (iii) 12 credit points of 2000-level selective units | |||
| (iv) 6 credit points of 3000-level methodology units | |||
| (v) 6 credit points of 3000-level selective specialisation units | |||
Units of study |
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| The units of study are listed below. | |||
1000-level units of study |
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Core |
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| BIOL1007 From Molecules to Ecosystems |
6 | A HSC Biology. Students who have not completed HSC Biology (or equivalent) are strongly advised to take the Biology Bridging Course (offered in February). N BIOL1907 or BIOL1997 |
Semester 2 Summer Main |
| BIOL1907 From Molecules to Ecosystems (Advanced) |
6 | A 85 or above in HSC Biology or equivalent N BIOL1007 or BIOL1997 Note: Department permission required for enrolment |
Semester 2 |
| BIOL1997 From Molecules to Ecosystems (SSP) |
6 | A 90 or above in HSC Biology or equivalent N BIOL1007 or BIOL1907 Note: Department permission required for enrolment |
Semester 2 |
Selective |
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| DATA1001 Foundations of Data Science |
6 | N MATH1005 or MATH1905 or MATH1015 or MATH1115 or ENVX1001 or ENVX1002 or ECMT1010 or BUSS1020 or STAT1021 |
Semester 1 Semester 2 |
| MATH1015 Biostatistics |
3 | A HSC Mathematics. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). N MATH1005 or MATH1905 or STAT1021 or STAT1022 or ECMT1010 or BIOM1003 or ENVX1001 or ENVX1002 or BUSS1020 |
Semester 1 |
| MATH1005 Statistical Thinking with Data |
3 | A HSC Mathematics. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). N MATH1015 or MATH1905 or STAT1021 or STAT1022 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 |
Semester 2 Summer Main Winter Main |
| MATH1905 Statistical Thinking with Data (Advanced) |
3 | A (HSC Mathematics Extension 2) OR (90 or above in HSC Mathematics Extension 1) or equivalent N MATH1005 or MATH1015 or STAT1021 or STAT1022 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 Note: Department permission required for enrolment |
Semester 2 |
| MATH1002 Linear Algebra |
3 | A HSC Mathematics or MATH1111. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). N MATH1012 or MATH1014 or MATH1902 |
Semester 1 Summer Main |
| MATH1902 Linear Algebra (Advanced) |
3 | A (HSC Mathematics Extension 2) OR (90 or above in HSC Mathematics Extension 1) or equivalent N MATH1002 or MATH1012 or MATH1014 Note: Department permission required for enrolment |
Semester 1 |
| MATH1011 Applications of Calculus |
3 | A HSC Mathematics. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). Please note: this unit does not normally lead to a major in Mathematics or Statistics or Financial Mathematics and Statistics. N MATH1001 or MATH1901 or MATH1906 or MATH1111 or BIOM1003 or ENVX1001 or MATH1021 or MATH1921 or MATH1931 |
Semester 1 Summer Main |
| MATH1013 Mathematical Modelling |
3 | A HSC Mathematics or a credit or higher in MATH1111. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). Please note: this unit does not normally lead to a major in Mathematics or Statistics or Financial Mathematics and Statistics. N MATH1003 or MATH1903 or MATH1907 or MATH1023 or MATH1923 or MATH1933 |
Semester 2 Summer Main |
| MATH1014 Introduction to Linear Algebra |
3 | A HSC Mathematics or MATH1111. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). Please note: this unit does not normally lead to a major in Mathematics or Statistics or Financial Mathematics and Statistics. N MATH1012 or MATH1002 or MATH1902 |
Semester 2 |
| ENVX1002 Introduction to Statistical Methods |
6 | N ENVX1001 Available as a degree core unit only in the Agriculture, Animal and Veterinary Bioscience, and Food and Agribusiness streams |
Semester 1 |
2000-level units of study |
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Selective |
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| DATA2002 Data Analytics: Learning from Data |
6 | A (Basic Linear Algebra and some coding) or QBUS1040 P [DATA1001 or ENVX1001 or ENVX1002] or [MATH10X5 and MATH1115] or [MATH10X5 and STAT2011] or [MATH1905 and MATH1XXX (except MATH1XX5)] or [BUSS1020 or ECMT1010 or STAT1021] N STAT2012 or STAT2912 |
Semester 2 |
| BIOL2022 Biology Experimental Design and Analysis |
6 | A BIOL1XXX or MBLG1XXX P 6cp from (BIOL1XXX or MBLG1XXX or ENVX1001 or ENVX1002 or DATA1001 or MATH1XX5) N BIOL2922 or BIOL3006 or BIOL3906 |
Semester 2 |
| BIOL2922 Biol Experimental Design and Analysis Adv |
6 | A BIOL1XXX or MBLG1XXX P [An annual average mark of at least 70 in the previous year] and [6cp from (BIOL1XXX or MBLG1XXX or ENVX1001 or ENVX1002 or DATA1001 or MATH1XX5)] N BIOL2022 or BIOL3006 or BIOL3906 |
Semester 2 |
| ENVX2001 Applied Statistical Methods |
6 | P [6cp from (ENVX1001 or ENVX1002 or BIOM1003 or MATH1011 or MATH1015 or DATA1001)] OR [3cp from (MATH1XX1 or MATH1906 or MATH1XX3 or MATH1907) and an additional 3cp from (MATH1XX5)] Available as a degree core unit only in the Agriculture, Animal and Veterinary Bioscience, and Food and Agribusiness streams |
Semester 1 |
| QBIO2001 Molecular Systems Biology |
6 | A Metabolism, protein synthesis, gene regulation, quantitative and statistical skills |
Semester 2 |
3000-level units of study |
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Methodology units |
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| ENVX3002 Statistics in the Natural Sciences |
6 | P ENVX2001 or BIOM2001 or STAT2X12 or BIOL2X22 or DATA2002 or QBIO2001 Interdisciplinary Unit |
Semester 1 |
| QBIO3X01 to be developed for offering in 2019. | |||
Specialisation units |
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| ENVX3002 Statistics in the Natural Sciences |
6 | P ENVX2001 or BIOM2001 or STAT2X12 or BIOL2X22 or DATA2002 or QBIO2001 Interdisciplinary Unit |
Semester 1 |
| BCHM3092 Proteomics and Functional Genomics |
6 | P [12cp from (BCHM2X71 or BCHM2X72 or BCMB2X01 or BCMB2X02 or DATA2002 or ENVX2001 or BIOL2X22 or MBLG2X71 or QBIO2001)] OR [BMED2401 and BMED2405 and 6cp from (BCHM2X71 or BCMB2X02 or MBLG2X71)] N BCHM3992 BMedSc degree students: You must have successfully completed BMED2401 and an additional 12cp from BMED240X before enrolling in this unit. |
Semester 2 |
| BCHM3992 Proteomics and Functional Genomics (Adv) |
6 | P [An average mark of 75 or above in 12cp from (BCHM2X71 or BCHM2X72 or BCMB2X01 or BCMB2X02 or DATA2002 or ENVX2001 or BIOL2X22 or MBLG2X71 or QBIO2001)] OR [BMED2401 and a mark of 75 or above in BMED2405 and a mark of 75 or above in 6cp from (BCHM2X71 or BCMB2X02 or MBLG2X71)] N BCHM3092 BMedSc degree students: You must have successfully completed BMED2401 and an additional 12cp from BMED240X before enrolling in this unit. |
Semester 2 |
| BINF3101 Bioinformatics Project |
6 | A INFO2110 and (INFO1103 or INFO1903) P 12cp from (BIOL2XXX or MBLG2XXX or BCMB2XXX or GEGE2XXX or BCHM2XXX or MICR2XXX or PCOL2XXX or QBIO2XXX or ENVX2XXX or DATA2002 or GENE2002) N COMP3206 or BINF3001 or INFO3600 or SOFT3300 or SOFT3600 or SOFT3200 or SOFT3700 |
Semester 2 |
| ENVX3001 Environmental GIS |
6 | P 6cp from (ENVI1003, AGEN1002) or 6cp from GEOS1XXX or 6cp from BIOL1XXX |
Semester 2 |
| LWSC3007 Advanced Hydrology and Modelling |
6 | P LWSC2002 |
Semester 1 |
| AMED3002 Interrogating Biomedical and Health Data |
6 | A A Exploratory data analysis, sampling, simple linear regression, t-tests, confidence intervals and chi-squared goodness of fit tests, familiar with basic coding, basic linear algebra. Additional information for BMedSc degree students: You must have successfully completed BMED2401 and an additional 12cp from BMED240X before enrolling in this unit. BMedSc degree students: You must have successfully completed BMED2401 and an additional 12cp from BMED240X before enrolling in this unit. |
Semester 1 |
| STAT3014 Applied Statistics |
6 | A STAT3012 or STAT3912 P DATA2002 or STAT2X12 N STAT3914 or STAT3002 or STAT3902 or STAT3006 |
Semester 2 |
| STAT3914 Applied Statistics Advanced |
6 | A STAT3912 P STAT2912 or (a mark of 65 or above in STAT2012 or DATA2002) N STAT3014 or STAT3907 or STAT3902 or STAT3006 or STAT3002 |
Semester 2 |
| QBIO3X01, GEGE3X04 and PRJT3XXX to be developed for offering in 2019. | |||