Table 1: Bioinformatics

Unit outlines will be available though Find a unit outline two weeks before the first day of teaching for 1000-level and 5000-level units, or one week before the first day of teaching for all other units.
 

Errata
item Errata Date
1.

The following unit has been cancelled for Semster 2, 2020:

BINF3101 Bioinformatics Project

28/07/2020

Unit of study Credit points A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition Session

Bioinformatics

For a major in Bioinformatics, students must complete a minimum of 24 credit points from senior units of study in the Life Sciences, Statistics, and Information Technologies, including:-
(i) At least one of BIOL3018/3918, BIOL3026/3926, BIOL3005, BCHM3004/3904; and
(ii) At least one of STAT3022/3922 and STAT3888/3914; and
(iii) Either COMP3520 or (by departmental permission INFO3911 or INFO3912); and
(iv) BINF3101
For further information on how to prepare for a major in Bioinformatics. please consult the Faculty of Science's webpage
Bioinformatics major (A) units of study
BIOL3005
Evolutionary Biology
6    A Students should be familiar with the structure of DNA molecules and the genetic code, understand the concept of a phylogenetic tree and have basic laboratory skills like pipetting and PCR. A knowledge of elementary statistics and algebra is assumed. Completion of intermediate units in genetics and genomics (i.e.GEGE2X01) and diversity (e.g. botany or zoology) is highly recommended.
P (12cp of BIOL2XXX) or [6cp of BIOL2XXX and (MBLG2X72 or GEGE2X01 or GENE2002)]
N BIOL3044 or BIOL3025 or BIOL3925 or BIOL3944 or PLNT3003 or PLNT3903
Semester 1
BIOL3018
Gene Technology and Genomics
6    P (MBLG2X72 or GEGE2X01 or GENE2002) and 6cp from (MBLG2X71 or BCMB2XXX or QBIO2001 or IMMU2XXX or BIOL2XXX or MEDS2003)
N BIOL3918
Semester 1
BIOL3918
Gene Technology and Genomics (Adv)
6    P A mark of 75 or above in (GEGE2X01 or MBLG2X72 or GENE2002) and a mark of 75 or above in (MBLG2X71 or BIOL2XXX or BCMB2XXX or QBIO2001 or IMMU2XXX or MEDS2003)
N BIOL3018
Semester 1
BIOL3026
Developmental Biology
6    P (MBLG2X72 or GEGE2X01 or GENE2002) and 6cp from (MBLG2X71 or BIOL2XXX or BCMB2XXX or QBIO2001 or IMMU2XXX)
N BIOL3926
Semester 1
BIOL3926
Developmental Biology (Advanced)
6    P An average mark of 75 or above in [(MBLG2X72 or GEGE2X01 or GENE2002) and (MBLG2X71 or BIOL2XXX or BCMB2XXX or QBIO2001 or IMMU2XXX)]
N BIOL3929 or BIOL3026
Semester 1
BIOL3944
Evolution and Biodiversity (Advanced)
6    P An average mark of 75 or above in [12cp of BIOL2XXX] OR [6cp of BIOL2XXX and (MBLG2X72 or GEGE2X01 or GENE2002)]
N BIOL3044 or BIOL3025 or BIOL3925 or PLNT3003 or PLNT3903
Semester 1
BCMB3004
Beyond The Genome
6    A Intermediate protein chemistry and biochemistry concepts
P 12 credit points from (AMED3001 or BCHM2X71 or BCHM2X72 or BCHM3XXX or BCMB2X01 or BCMB2X02 or BCMB3XXX or BIOL2X29 or BMED2401 or BMED2405 or GEGE2X01 or MBLG2X01 or MEDS2002 or MEDS2003 or PCOL2X21 or QBIO2001)
N BCHM3X92 or BCMB3904
Semester 2
BCMB3904
Beyond The Genome (Advanced)
6    A Students should understand basic concepts in human, mammalian, plant and/or prokaryotic biology. Students should have a basic understanding of the 'genome' and of the central dogma of molecular biology (gene transcription and protein translation). Additional knowledge of basic chemistry and protein biochemistry will be helpful.
P An average mark of 75 or above in 12 credit points from (AMED3001 or BCHM2X71 or BCHM2X72 or BCHM3XXX or BCMB2X01 or BCMB2X02 or BCMB3XXX or BIOL2X29 or BMED2401 or BMED2405 or GEGE2X01 or MBLG2X01 or MEDS2002 or MEDS2003 or PCOL2X21 or QBIO2001)
N BCHM3X92 or BCMB3004
Semester 2
Bioinformatics major (B) units of study
STAT3022
Applied Linear Models
6    P STAT2X11 and (DATA2X02 or STAT2X12)
N STAT3912 or STAT3012 or STAT3922
Semester 1
STAT3922
Applied Linear Models (Advanced)
6    P STAT2X11 and [a mark of 65 or greater in (STAT2X12 or DATA2X02)]
N STAT3912 or STAT3012 or STAT3022
Semester 1
STAT3888
Statistical Machine Learning
6    A STAT3012 or STAT3912 or STAT3022 or STAT3922
P STAT2X11 and (DATA2X02 or STAT2X12)
N STAT3914 or STAT3014
Semester 2
STAT3914
Applied Statistics Advanced

This unit of study is not available in 2020

6    A STAT3012 or STAT3912 or STAT3022 or STAT3922
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
Bioinformatics major (C) unit of study
COMP3520
Operating Systems Internals
6    P (COMP2017 OR COMP2129) AND (COMP2123 OR COMP2823 OR INFO1105 OR INFO1905)
Semester 2
INFO3911
IT Special Project 3A
6    P [85% average in IT units of study in previous year] AND [Permission from the School of IT]

Note: Department permission required for enrolment
Enrolment by department permission for students with 85% average in School of IT units plus minimum 75% average in other units
Intensive July
Semester 1
INFO3912
IT Special Project 3B
6    P [85% average in IT units of study in previous year] AND [Permission from the School of IT]

Note: Department permission required for enrolment
Enrolment by department permission for students with 85% average in School of IT units plus minimum 75% average in other units
Intensive July
Semester 2
Bioinformatics major (D) unit of study
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

Bioinformatics

For a major in Bioinformatics, students must complete a minimum of 24 credit points from senior units of study in the Life Sciences, Statistics, and Information Technologies, including:-
(i) At least one of BIOL3018/3918, BIOL3026/3926, BIOL3005, BCHM3004/3904; and
(ii) At least one of STAT3022/3922 and STAT3888/3914; and
(iii) Either COMP3520 or (by departmental permission INFO3911 or INFO3912); and
(iv) BINF3101
For further information on how to prepare for a major in Bioinformatics. please consult the Faculty of Science's [[https://sydney.edu.au/science/study/undergraduate-courses.html||webpage]]
Bioinformatics major (A) units of study
BIOL3005 Evolutionary Biology

Credit points: 6 Teacher/Coordinator: Prof Ben Oldroyd Session: Semester 1,Semester 1 Classes: Lectures 2 hours per week 13 weeks, tutorial or laboratory 4 hours per week for 13 weeks, field trip 24 hours, once during semester. Prerequisites: (12cp of BIOL2XXX) or [6cp of BIOL2XXX and (MBLG2X72 or GEGE2X01 or GENE2002)] Prohibitions: BIOL3044 or BIOL3025 or BIOL3925 or BIOL3944 or PLNT3003 or PLNT3903 Assumed knowledge: Students should be familiar with the structure of DNA molecules and the genetic code, understand the concept of a phylogenetic tree and have basic laboratory skills like pipetting and PCR. A knowledge of elementary statistics and algebra is assumed. Completion of intermediate units in genetics and genomics (i.e.GEGE2X01) and diversity (e.g. botany or zoology) is highly recommended. Assessment: Oral presentation in a debate format (10%), Short reports in practical classes (10%), Draft scientific report (10%), Scientific report (20%), Final exam (50%). Practical field work: 24-hour period over a weekend during semester. Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
Evolution is the biological process that has generated the biodiversity on this planet. It explains the common ancestry of all life on earth, why all organisms use the same genetic code, and why major life forms are constrained to a relatively small number of basic body plans such as four limbs in tetrapods. Thus, the principles of evolution and population genetics underpin all biology, including ecology, medicine and agriculture. For example, it is only because rats and humans share an evolutionary past that we can use rats as models for human medical research. In this unit, you will explore the mechanisms that generate evolutionary change at both contemporary and ancient scales. You will learn how to use DNA sequences to reconstruct the relationships among organisms and to estimate evolutionary timescales. Evolution is an ongoing process, so you will use genetic techniques to discover whether populations are divided into subpopulations. By completing this unit, you will develop skills in genomics, phylogenetic analysis, population genetics and conservation genetics. You will learn about fundamental aspects of evolution such as adaptation, sexual selection, and the origins of life. You will gain general skills in computer literacy, data management and statistical genetics.
BIOL3018 Gene Technology and Genomics

Credit points: 6 Teacher/Coordinator: A/Prof Mary Byrne Session: Semester 1 Classes: Two 1-hour lectures and one 3-hour practical per week. Prerequisites: (MBLG2X72 or GEGE2X01 or GENE2002) and 6cp from (MBLG2X71 or BCMB2XXX or QBIO2001 or IMMU2XXX or BIOL2XXX or MEDS2003) Prohibitions: BIOL3918 Assessment: One 2-hour exam (60%), assignments (40%). Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
A unit of study with lectures, practicals and tutorials on the application of recombinant DNA technology and the genetic manipulation of prokaryotic and eukaryotic organisms. Lectures cover the applications of molecular genetics in biotechnology and consider the regulation, impact and implications of genetic engineering and genomics. Topics include biological sequence data and databases, comparative genomics, the cloning and expression of foreign genes in bacteria, yeast, animal and plant cells, novel human and animal therapeutics and vaccines, new diagnostic techniques for human and veterinary disease, and the genetic engineering of animals and plants. Practical work may include nucleic acid isolation and manipulation, gene cloning and PCR amplification, DNA sequencing and bioinformatics, immunological detection of proteins, and the genetic transformation and assay of plants.
BIOL3918 Gene Technology and Genomics (Adv)

Credit points: 6 Teacher/Coordinator: A/Prof Mary Byrne Session: Semester 1,Semester 1 Classes: Two 1-hour lectures and one 3-hour practical per week. Prerequisites: A mark of 75 or above in (GEGE2X01 or MBLG2X72 or GENE2002) and a mark of 75 or above in (MBLG2X71 or BIOL2XXX or BCMB2XXX or QBIO2001 or IMMU2XXX or MEDS2003) Prohibitions: BIOL3018 Assessment: One 2-hour exam (60%), assignments (40%). Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
Qualified students will participate in alternative components of BIOL3018 Gene Technology and Genomics. The content and nature of these components may vary from year to year.
BIOL3026 Developmental Biology

Credit points: 6 Teacher/Coordinator: A/Professor Mary Byrne Session: Semester 1 Classes: 24 1-hour lectures/tutorials per semester and up to 3 hours laboratory per week. Prerequisites: (MBLG2X72 or GEGE2X01 or GENE2002) and 6cp from (MBLG2X71 or BIOL2XXX or BCMB2XXX or QBIO2001 or IMMU2XXX) Prohibitions: BIOL3926 Assessment: One 2-hour exam, assignments (100%). Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
The advent of multicellularity represents one of life's great transitions in complexity, ultimately paving the way to the evolution of complex organisms such as humans. This unit focuses on how such complex multicellular systems are constructed using both animal and plant systems in a comparative way that reveals common strategies and striking contrasts. The course will cover the multidisciplinary nature of approaches used, including classical embryology, biochemistry, genetics, transcriptomics, live-imaging, cell biology, physiology and computer simulation. Topics will include fundamental concepts, morphogens, establishing body axes, cell polarity, differentiation and commitment, evolution in the context of development, mechanics and morphogenesis with examples from model systems, stem cells and cancer. Practical work complements the theoretical aspects of the course and develops important skills in developmental biology.
BIOL3926 Developmental Biology (Advanced)

Credit points: 6 Teacher/Coordinator: A/Professor Mary Byrne Session: Semester 1 Classes: 24 1-hour lectures/tutorials per semester and up to 3 hours laboratory per week. Prerequisites: An average mark of 75 or above in [(MBLG2X72 or GEGE2X01 or GENE2002) and (MBLG2X71 or BIOL2XXX or BCMB2XXX or QBIO2001 or IMMU2XXX)] Prohibitions: BIOL3929 or BIOL3026 Assessment: One 2-hour exam, assignments (100%). Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
Qualified students will participate in alternative components to BIOL3026 Developmental Biology. The content and nature of these components may vary from year to year. Some assessment will be in an alternative format to components of BIOL3026.
BIOL3944 Evolution and Biodiversity (Advanced)

Credit points: 6 Teacher/Coordinator: Prof Ben Oldroyd Session: Semester 1 Classes: Two lectures and one 3-hour practical per week. Prerequisites: An average mark of 75 or above in [12cp of BIOL2XXX] OR [6cp of BIOL2XXX and (MBLG2X72 or GEGE2X01 or GENE2002)] Prohibitions: BIOL3044 or BIOL3025 or BIOL3925 or PLNT3003 or PLNT3903 Assessment: Practical reports and/or presentations (60%), one 2-hour exam (40%). Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
The content will be based on the standard unit BIOL3044 but qualified students will participate in alternative components at a more advanced level. How did the diversity of life arise? Why are there so many species? Why do animals and plants seem so well designed for their environments? How do we explain patterns of distribution across continents? These are some of the key questions that we will examine in this Unit. The Unit begins with a survey of the history of evolutionary thought, and the so-called 'new synthesis'; the melding of Darwinian evolution, systematics and genetics. The Unit will provide training in the principles, methods, and applications of evolutionary biology including systems of classification, the genetics of speciation and hybrid zones, molecular evolution, reconstruction of phylogenies, population genetics, historical interpretation of geographic distributions, evolution of sex, adaptation, human evolution, and selfish gene theory. Examples from a broad range of organisms and data sources will be used throughout the Unit. This Unit is valuable for students who intend to seek employment in areas such as biodiversity research, bioinformatics, ecology, taxonomy, biological conservation and teaching.
Textbooks
Freeman and Herron (2011) Evolutionary Analysis, Pearson/Prentice Hall
BCMB3004 Beyond The Genome

Credit points: 6 Teacher/Coordinator: Prof Stuart Cordwell Session: Semester 2 Classes: lectures 2 hrs/week, practicals 3 hrs/week Prerequisites: 12 credit points from (AMED3001 or BCHM2X71 or BCHM2X72 or BCHM3XXX or BCMB2X01 or BCMB2X02 or BCMB3XXX or BIOL2X29 or BMED2401 or BMED2405 or GEGE2X01 or MBLG2X01 or MEDS2002 or MEDS2003 or PCOL2X21 or QBIO2001) Prohibitions: BCHM3X92 or BCMB3904 Assumed knowledge: Intermediate protein chemistry and biochemistry concepts Assessment: 4 x in-practical reports (10%), take-home computational practical (5%), 1000-1500wd scientific report (10%), mid-semester quiz (10%), 1500-2000wd data analysis and interpretation scientific report (15%) final exam (50%) Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
The sequencing of the human genome was a landmark achievement in science and medicine, marking the 'Age of Genomics'. Now we can access the blueprints for life, but need to uncover how those blueprints work, allowing organisms to respond to internal and external environmental changes, and how we can utilise this plethora of DNA sequence information to improve human and planetary health. This unit will investigate the function of the genome by examining the proteome, metabolome and beyond. You will investigate links between the central dogma of molecular biology and the complexities of living genomes - from modifications that massively increase diversity to the dynamic metabolome. You will explore fundamental cellular processes and discover how they are shaped by the proteome via gene expression, post-translational modification and protein complex formation. These processes will be examined in the context of human health and cardiovascular and metabolic disorders (e. g. type 2 diabetes) to demonstrate how global approaches can define, diagnose and help develop treatments for disease. You will practice methods employed in the post-genome era, including the 'Multi-omics' approaches that provide a global view of living systems, and discover how they are applied to solve problems in biology, biomedicine and agriculture. By the end of the unit students will understand why global 'omics approaches are needed in the post-genome era and know how best to apply such tools to given biological and biomedical problems.
BCMB3904 Beyond The Genome (Advanced)

Credit points: 6 Teacher/Coordinator: Prof Stuart Cordwell Session: Semester 2 Classes: lectures 2 hrs/week, practicals 3 hrs/week, 4 x 1 hr advanced tutorials, 8 x 1 hr advanced practicals Prerequisites: An average mark of 75 or above in 12 credit points from (AMED3001 or BCHM2X71 or BCHM2X72 or BCHM3XXX or BCMB2X01 or BCMB2X02 or BCMB3XXX or BIOL2X29 or BMED2401 or BMED2405 or GEGE2X01 or MBLG2X01 or MEDS2002 or MEDS2003 or PCOL2X21 or QBIO2001) Prohibitions: BCHM3X92 or BCMB3004 Assumed knowledge: Students should understand basic concepts in human, mammalian, plant and/or prokaryotic biology. Students should have a basic understanding of the 'genome' and of the central dogma of molecular biology (gene transcription and protein translation). Additional knowledge of basic chemistry and protein biochemistry will be helpful. Assessment: 4 x in-practical reports (10%), take-home computational practical (5%), 1000-1500wd scientific report (10%), mid-semester quiz (10%), 1500-2000wd data analysis and interpretation scientific report (15%), final exam (50%) Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
The sequencing of the human genome was a landmark achievement in science and medicine, marking the 'Age of Genomics'. Now we can access the blueprints for life, but need to uncover how those blueprints work, allowing organisms to respond to internal and external environmental changes, and how we can utilise this plethora of DNA sequence information to improve human and planetary health. This unit will investigate the function of the genome by examining the proteome, metabolome and beyond. You will investigate links between the central dogma of molecular biology and the complexities of living genomes - from modifications that massively increase diversity to the dynamic metabolome. You will explore fundamental cellular processes and discover how they are shaped by the proteome via gene expression, post-translational modification and protein complex formation. These processes will be examined in the context of human health and cardiovascular and metabolic disorders (e. g. type 2 diabetes) to demonstrate how global approaches can define, diagnose and help develop treatments for disease. You will practice methods employed in the post-genome era, including the 'Multi-omics' approaches that provide a global view of living systems, and discover how they are applied to solve problems in biology, biomedicine and agriculture. Beyond the Genome (Advanced) has the same overall structure as BCMB3004 but focuses on a more advanced level of practical work, data analysis and interpretation, using cutting-edge technologies. By the end of the unit students will understand why global 'omics approaches are needed in the post-genome era and know how best to apply such tools to given biological and biomedical problems.
Bioinformatics major (B) units of study
STAT3022 Applied Linear Models

Credit points: 6 Teacher/Coordinator: Dr John Ormerod Session: Semester 1 Classes: Three 1 hour lectures, one 1 hour tutorial and one 1 hour computer laboratories per week. Prerequisites: STAT2X11 and (DATA2X02 or STAT2X12) Prohibitions: STAT3912 or STAT3012 or STAT3922 Assessment: 2 x assignment (15%), 3 x quizzes (30%), final exam (55%) Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
In today's data-rich world more and more people from diverse fields are needing to perform statistical analyses and indeed more and more tools for doing so are becoming available; it is relatively easy to point and click and obtain some statistical analysis of your data. But how do you know if any particular analysis is indeed appropriate? Is there another procedure or workflow which would be more suitable? Is there such thing as a best possible approach in a given situation? All of these questions (and more) are addressed in this unit. You will study the foundational core of modern statistical inference, including classical and cutting-edge theory and methods of mathematical statistics with a particular focus on various notions of optimality. The first part of the unit covers various aspects of distribution theory which are necessary for the second part which deals with optimal procedures in estimation and testing. The framework of statistical decision theory is used to unify many of the concepts. You will apply the theory to various real-world problems using statistical software in laboratory sessions. By completing this unit you will develop the necessary skills to confidently choose the best statistical analysis to use in many situations.
STAT3922 Applied Linear Models (Advanced)

Credit points: 6 Teacher/Coordinator: Dr John Ormerod Session: Semester 1 Classes: Three 1 hour lectures, one 1 hour tutorial and one 1 hour computer laboratory per week. Prerequisites: STAT2X11 and [a mark of 65 or greater in (STAT2X12 or DATA2X02)] Prohibitions: STAT3912 or STAT3012 or STAT3022 Assessment: 2 x assignment (10%), 3 x quizzes (35%), final exam (55%) Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
This unit will introduce the fundamental concepts of analysis of data from both observational studies and experimental designs using classical linear methods, together with concepts of collection of data and design of experiments. You will first consider linear models and regression methods with diagnostics for checking appropriateness of models, looking briefly at robust regression methods. Then you will consider the design and analysis of experiments considering notions of replication, randomization and ideas of factorial designs. Throughout the course you will use the R statistical package to give analyses and graphical displays. This unit is essentially an Advanced version of STAT3012, with additional emphasis on the mathematical techniques underlying applied linear models together with proofs of distribution theory based on vector space methods.
STAT3888 Statistical Machine Learning

Credit points: 6 Teacher/Coordinator: Dr John Ormerod Session: Semester 2,Semester 2 Classes: Three 1 hour lectures, one 1 hour tutorial and one 1 hour computer laboratory per week. Prerequisites: STAT2X11 and (DATA2X02 or STAT2X12) Prohibitions: STAT3914 or STAT3014 Assumed knowledge: STAT3012 or STAT3912 or STAT3022 or STAT3922 Assessment: Written exam (40%), major project (50%), computer labs (10%) Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
Data Science is an emerging and inherently interdisciplinary field. A key set of skills in this area fall under the umbrella of Statistical Machine Learning methods. This unit presents the opportunity to bring together the concepts and skills you have learnt from a Statistics or Data Science major, and apply them to a joint project with NUTM3888 where Statistics and Data Science students will form teams with Nutrition students to solve a real world problem using Statistical Machine Learning methods. The unit will cover a wide breadth of cutting edge supervised and unsupervised learning methods will be covered including principal component analysis, multivariate tests, discrimination analysis, Gaussian graphical models, log-linear models, classification trees, k-nearest neighbors, k-means clustering, hierarchical clustering, and logistic regression. In this unit, you will continue to understand and explore disciplinary knowledge, while also meeting and collaborating through project-based learning; identifying and solving problems, analysing data and communicating your findings to a diverse audience. All such skills are highly valued by employers. This unit will foster the ability to work in an interdisciplinary team, and this is essential for both professional and research pathways in the future.
STAT3914 Applied Statistics Advanced

This unit of study is not available in 2020

Credit points: 6 Session: Semester 2 Classes: Three 1 hour lectures and one 1 hour computer laboratory per week plus an extra hour each week which will alternate between lectures and tutorials. Prerequisites: STAT2912 or (a mark of 65 or above in STAT2012 or DATA2002) Prohibitions: STAT3014 or STAT3907 or STAT3902 or STAT3006 or STAT3002 Assumed knowledge: STAT3012 or STAT3912 or STAT3022 or STAT3922 Assessment: Written exam (40%), major project (50%), computer labs (10%) Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
This unit is an Advanced version of STAT3014. There will be 3 lectures per week in common with STAT3014. The unit will have extra lectures focusing on multivariate distribution theory developing results for the multivariate normal, partial correlation, the Wishart distribution and Hotelling's T^2. There will also be more advanced tutorial and assessment work associated with this unit.
Bioinformatics major (C) unit of study
COMP3520 Operating Systems Internals

Credit points: 6 Teacher/Coordinator: A/Prof Bing Zhou Session: Semester 2 Classes: Lectures, Tutorials Prerequisites: (COMP2017 OR COMP2129) AND (COMP2123 OR COMP2823 OR INFO1105 OR INFO1905) Assessment: Through semester assessment (40%) and Final Exam (60%) Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
This unit will provide a comprehensive discussion of relevant OS issues and principles and describe how those principles are put into practice in real operating systems. The contents include internal structure of OS; several ways each major aspect (process scheduling, inter-process communication, memory management, device management, file systems) can be implemented; the performance impact of design choices; case studies of common OS (Linux, MS Windows NT, etc.).
INFO3911 IT Special Project 3A

Credit points: 6 Teacher/Coordinator: Dr Vera Chung; Dr Vera Chung Session: Intensive July,Semester 1 Classes: Meetings, Project Work - own time Prerequisites: [85% average in IT units of study in previous year] AND [Permission from the School of IT] Assessment: Through semester assessment (100%) Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
Note: Department permission required for enrolment
Note: Enrolment by department permission for students with 85% average in School of IT units plus minimum 75% average in other units
This unit enables talents students with maturing IT knowledge to integrate various IT skills and techniques to carry out projects. These projects are largely research intensive.
INFO3912 IT Special Project 3B

Credit points: 6 Teacher/Coordinator: Dr Vera Chung Session: Intensive July,Semester 2 Classes: Meetings, Project Work - own time Prerequisites: [85% average in IT units of study in previous year] AND [Permission from the School of IT] Assessment: Through semester assessment (100%) Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
Note: Department permission required for enrolment
Note: Enrolment by department permission for students with 85% average in School of IT units plus minimum 75% average in other units
This unit enables talents students with maturing IT knowledge to integrate various IT skills and techniques to carry out projects. These projects are largely research intensive.
Bioinformatics major (D) unit of study
BINF3101 Bioinformatics Project

Credit points: 6 Teacher/Coordinator: Dr Mark de Bruyn Session: Semester 2 Classes: Meeting with academic supervisor 1 hour per week and class meeting 1 hour per week. Prerequisites: 12cp from (BIOL2XXX or MBLG2XXX or BCMB2XXX or GEGE2XXX or BCHM2XXX or MICR2XXX or PCOL2XXX or QBIO2XXX or ENVX2XXX or DATA2002 or GENE2002) Prohibitions: COMP3206 or BINF3001 or INFO3600 or SOFT3300 or SOFT3600 or SOFT3200 or SOFT3700 Assumed knowledge: INFO2110 and (INFO1103 or INFO1903) Assessment: Oral group presentations, individual and group reports (100%) Campus: Camperdown/Darlington, Sydney Mode of delivery: Normal (lecture/lab/tutorial) day
This unit will provide students an opportunity to apply the knowledge and practice the skills acquired in the prerequisite and qualifying units, in the context of designing and building a substantial bioinformatics application. Working in groups, students will carry out the full range of activities including requirements capture, analysis and design, coding, testing and documentation.