SCIE4401 Data Use in Science
- 6 points
If this unit does not have an online alternative, then students who are presently unable to enter Western Australia and whose studies would be delayed by an inability to complete this unit, should contact the unit coordinator (details given on this page) to ascertain, on an individual case-by-case basis, if alternate arrangements can be made to support their study in this unit.
Availability Location Mode Semester 1 Online Online flexible 100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times. Semester 2 Online Online flexible 100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times.
- Details for undergraduate courses
- Honours option in Geographical Sciences [Bachelor of Science (Honours)]
- The unit introduces students to data collection and analysis to investigate questions relevant to research in the natural sciences. These methods, such as ANOVA and linear regression, are demonstrated and practised in a computer laboratory environment using experimental and observational data. Throughout the unit, scientific interpretation and hypothesis testing are emphasised. Students develop the knowledge to analyse data and explain the data using models. They learn to recognise the appropriate statistical technique for different types of data, and also learn how to obtain results using computer software. This unit equips students with knowledge and skills that they need to undertake research in their honours or master's thesis and beyond in private or public employment.
- Students are able to (1) collect and interpret observational data; (2) formulate and test scientific hypotheses; (3) demonstrate an understanding of statistical methods such as ANOVA and linear regression; and (4) use computer spreadsheets and statistical software such as R/Rstudio to do professional quality data analysis, graphics and reporting.
- Indicative assessments in this unit are as follows: (1) assignments; (2) quizzes; and (3) participation and tutorial activities. Further information is available in the unit outline.
Supplementary assessment is not available in this unit.
- Unit Coordinator(s)
- Associate Professor Atakelty Hailu
- Unit rules
- Contact hours
- 24 hours. The total workload for this unit is 150 hours.
The required readings for this unit are identified in the unit outline.
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.