Forensic Statistics (7904.3)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|
|0.125||3||Faculty Of Education, Science, Technology & Maths|
|Discipline||Study level||HECS Bands|
|Academic Program Area - Maths & Technology||Level 2 - Undergraduate Intermediate Unit|| Band 1 2021 (Commenced After 1 Jan 2021)
Band 1 2021 (Commenced Before 1 Jan 2021)
Learning outcomes1. understand the nature and consequences of natural variability in forensic data; express a problem in statistical terms.
2. summarise data graphically and numerically, either manually or using Excel.
3. test hypotheses in simple situations.
4. model data by fitting straight lines; and understand the use of statistics in assessing evidence.
Graduate attributes1. UC graduates are professional - communicate effectively
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
PrerequisitesData Analysis in Science OR Business Statistics OR Introduction to Statistics.
Assumed knowledgeMathematics to ACT College level.
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
Lists of required texts/readings
- Curran, James Michael. Introduction to data analysis with R for forensic scientists. CRC Press, 2010.
- Adam, Craig. Essential mathematics and statistics for forensic science. John Wiley & Sons, 2010.
- Buckleton, John S., Christopher M. Triggs, and Simon J. Walsh, eds. Forensic DNA evidence interpretation. CRC press, 2005.
- Lucy, David. Introduction to statistics for forensic scientists. John Wiley & Sons, 2006.
- Evett, Ian W., and Bruce S. Weir. Interpreting DNA evidence: statistical genetics for forensic scientists. Sunderland: Sinauer Associates, 1998.
- Fung, Wing Kam, and Yue-Qing Hu. Statistical DNA forensics: theory, methods and computation. John Wiley & Sons, 2008.
Submission of assessment items
Special assessment requirements
In order to pass the unit you must obtain 50% or more on your overall score with the weightings as shown above in 5a.
You should spend roughly 9 hours per week working through the lecture, tutorial and computer lab and activity. In most weeks these four items will relate to the same topic. Each week you should spend an hour preapring your response to the discussion forum. That leaves 15 hours for each assignment. This makes a total of 150 hours. However, spending more time on the weekly work will shorten the amount of time needed for the assignment.
Your participation in the online activities will enhance your understanding of the unit content and therefore the quality of your assessment responses. Lack of participation may result in your inability to satisfactorily pass assessment items.
Required IT skills
It is assumed that you have familiarity with the use of a computer.
Work placement, internships or practicums
This is not applicable.
In all cases of absence, sickness or personal problems it is the student's responsibility to ensure that the unit convenor is informed. The minimum participation requirement must be met in order to pass the unit (regardless of supporting documentation).