EPM5005 Data management and statistical computing
Faculty of Medicine, Nursing and Health Sciences
EPM5005 Data management and statistical computing is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2020 in Semester 1 and Semester 2 at Alfred Hospital. It has no prerequisites and unlocks 2 units.
- Credit points
- 6
- Offered in 2020
- Semester 1, Semester 2
- Alfred Hospital
- Assessment
- No exam
- 1 task
This is the 2020 handbook entry. See the 2027 entry.
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Requisites
Before EPM5005
No prerequisites or corequisites besides the enrolment rules below.
After EPM5005
2 units list EPM5005 as a prerequisite or corequisite.
Enrolment rules
Overview
This unit will describe and demonstrate the complexity of data management and statistical computing methods. It will enable students to communicate effectively about the issues in storing and retrieving information, and in assessing the quality and limitations of data repositories. It uses examples from real data sets to give students practical skills in data management, assessment of data quality and handling and linking of large volumes of data.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Alfred Hospital | De |
| Second semester | Alfred Hospital | De |
Assessment
- Written assignments100%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Understanding of different sources and methods of data storage such as unit records, matrix files, longitudinal data, relational databases.
- 2
Understanding of relational database concepts and data retrieval methods.
- 3
Proficiency in the handling and analysis of large data sets.
- 4
Skills in data manipulation and management using the major statistical software packages.
- 5
Skills in linking files through unique and non-unique identifiers.
- 6
Understanding of data quality control and data entry methods and confidentiality issues, and experience in applying validation checks to data.
- 7
Skills in data cleaning, identification of outliers and data trimming using appropriate statistical methods.
- 8
Understanding of processes leading to finalisation of data sets prior to analysis.
- 9
Ability to communicate with researchers in data-related issues of design, conduct and analysis of studies.
Learning resources
Required resources
See Moodle for details about required resources.
Contacts
- Chief Examiners
- Associate Professor Andrew Forbes
Common questions
What are the prerequisites for EPM5005?
EPM5005 has no prerequisites, but enrolment rules apply.
What can I take after EPM5005?
EPM5005 is a prerequisite or corequisite for 2 units, including EPM5011 and EPM5015.
When is EPM5005 offered?
In 2020, EPM5005 runs in Semester 1 and Semester 2 at Alfred Hospital.
Does EPM5005 have an exam?
No. EPM5005 has 1 assessment task and no exam.