Area: | Department of Mathematics and Statistics |
---|---|
Credits: | 12.5 |
Contact Hours: | 2.0 |
** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** | |
Lecture: | 2 x 1 Hours Weekly |
Prerequisite(s): |
7056 (v.5)
Mathematics 111
or any previous version
AND 7062 (v.6) Mathematics 101 or any previous version OR 10926 (v.5) Mathematics 103 or any previous version OR 7063 (v.6) Mathematics 102 or any previous version OR 7492 (v.5) Mathematics 104 or any previous version OR 12166 (v.2) Mathematics 134 or any previous version OR 305640 (v.1) Mathematics 136 or any previous version |
Syllabus: | Introduction to analytical problems and handling of errors in analysis. Significance tests, quality control and sampling. Introduction to experimental design and analysis of variance, regression and correlation, calibration, factorial designs, response surface methods and non-parametric methods. |
** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** | |
Field of Education: | 010101 Mathematics |
SOLT (Online) Definitions*: | Not Online *Extent to which this unit or thesis utilises online information |
Result Type: | Grade/Mark |
Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.