Extension of the concepts, methods and tools introduced in KMA253. A 'hands-on' course in which the emphasis is on the development of skills in the selection and application of statistical methods and the presentation of statistical results. Statistical methodology covered in the course will be selected from the following: analysis of variance applied in the area of experimental designs; generalised linear methodology; multivariate statistical methodology; methods for analysing frequency data; methodology for studying data collected over time. Expertise with statistical computing packages will be extended. Examples will be drawn from the physical and social sciences and bioinformatics.
|Unit name||Data Handling and Statistics 3|
|Faculty/School||Faculty of SET, AMC, IMAS
School of Physical Sciences
|Discipline||Mathematics and Physics|
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Special approval is required for enrolment into TNE Program units.
|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2018 are indicative and subject to change. Finalised census dates for 2018 will be available from the 1st October 2017.
|Band||Field of Education|
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
You cannot enrol in this unit as well as the following:
3 x 1hr face-to-face lectures, 1x1hr tutorial, 1x1-hr computer lab sessions.
3 class tests (45%) projects and assignments (55%)
|Timetable||View the lecture timetable | View the full unit timetable|
There are no required textbooks. The following three freely available books are recommended:
(1) Elements of Statistical Learning, Hastie, Tibshirani, Friedman. PDF available at:http://web.stanford.edu/~hastie/local.ftp/Springer/OLD/ESLII_print4.pdf
(2) An Introduction to Generalized Linear Models, Dobson, ODF available at: http://www.planta.cn/forum/files_planta/glm_2002_crc_213.pdf (3) An Introduction to Statistical Learning, James, Witten, Haistie, Tibshirani, PDF available at: http://www-bcf.usc.edu/~gareth/ISL/
Co-op Bookshop links
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.