Data Analysis Skills for Science (11723.1)
Please note these are the 2022 details for this unit
| Available teaching periods | Delivery mode | Location |
|---|---|---|
| View teaching periods | On-Campus |
UC - Canberra, Bruce |
| EFTSL | Credit points | Faculty |
| 0.125 | 3 | Faculty Of Science And Technology |
| Discipline | Study level | HECS Bands |
| Academic Program Area - Science | Level 1 - Undergraduate Introductory Unit | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
This unit forms the basis of scientific applications for foundational data analysis. It supports the applied numeracy and analytical skills presented across the Program of Science. After successful completion of this unit, students are familiar with collection, arrangement, manipulation and interrogation of both numerical and non-numerical data. They will recognise and employ effective analytical methods using standard statistical packages in real world scientific scenarios.
1. Apply scientific literacy and numeracy in the search for, collation of, and analysis of evidence;
2. Comprehend, apply and interpret the results of foundational data analysis and statistical methods;
3. Interpret and express analytical findings effectively in written format; and
4. Recognise situations where analytical methods and tools may be applied to chemistry, biology, physics and health.
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
Learning outcomes
On successful completion of this unit, students will be able to:1. Apply scientific literacy and numeracy in the search for, collation of, and analysis of evidence;
2. Comprehend, apply and interpret the results of foundational data analysis and statistical methods;
3. Interpret and express analytical findings effectively in written format; and
4. Recognise situations where analytical methods and tools may be applied to chemistry, biology, physics and health.
Graduate attributes
1. UC graduates are professional - communicate effectively1. 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
None.Corequisites
None.Incompatible units
- None.
Equivalent units
1809 Data Analysis in ScienceAssumed knowledge
None.
Availability for enrolment in 2022 is subject to change and may not be confirmed until closer to the teaching start date.
| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|---|---|---|---|---|
| 2022 | UC - Canberra, Bruce | Semester 1 | 07 February 2022 | On-Campus | Dr Adrian Dusting |
| 2022 | UC - Canberra, Bruce | Semester 2 | 01 August 2022 | On-Campus | Dr Adrian Dusting |
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit
timetable.
