Forensic Statistics (7904.3)
Available teaching periods | Delivery mode | Location |
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View teaching periods | ||
EFTSL | Credit points | Faculty |
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 outcomes
1. 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 attributes
1. UC graduates are professional - communicate effectively1. 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
Prerequisites
Data Analysis in Science OR Business Statistics OR Introduction to Statistics.Assumed knowledge
Mathematics to ACT College level.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
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Required texts
Lists of required texts/readings
References:
- 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.
Academic integrity
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
Learner engagement
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.
Participation requirements
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.
Additional information
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).