MATH2006 (v.1) Mathematics and Statistics
Area: | Department of Mathematics and Statistics |
---|---|
Credits: | 25.0 |
Contact Hours: | 4.0 |
TUITION PATTERNS: | The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline. |
Lecture: | 2 x 1 Hours Weekly |
Tutorial: | 1 x 1 Hours Weekly |
Workshop: | 1 x 1 Hours Weekly |
Equivalent(s): |
311691 (v.1)
Mathematics and Statistics 231
|
Prerequisite(s): |
307535 (v.3)
Engineering Mathematics 110
or any previous version
OR MATH1000 (v.1) Engineering Mathematics Specialist 1 or any previous version OR 307536 (v.4) Engineering Mathematics 120 or any previous version OR MATH1002 (v.1) Engineering Mathematics 1 or any previous version OR 10926 (v.5) Mathematics 103 or any previous version OR MATH1004 (v.1) Mathematics 1 or any previous version AND 307537 (v.3) Engineering Mathematics 130 or any previous version OR MATH1001 (v.1) Engineering Mathematics Specialist 2 or any previous version OR 307538 (v.3) Engineering Mathematics 140 or any previous version OR MATH1003 (v.1) Engineering Mathematics 2 or any previous version OR 7492 (v.5) Mathematics 104 or any previous version OR MATH1011 (v.1) Mathematics 2 or any previous version |
UNIT REFERENCES, TEXTS, OUTCOMES AND ASSESSMENT DETAILS: | The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline. |
Syllabus: | The selected topics in mathematics include, functions of two or more variables, double integrals, triple integrals, the Laplace transform, Linear systems of ordinary differential equations, fourier series. Introduction to statistics include; exploratory data analysis, discrete and continuous probability distribution, normal distribution, random sampling, central limit theorem, confidence intervals and hypothesis tests for single mean and two means, checking assumptions, correlation and simple linear regression. |
Field of Education: | 010100 Mathematical Sciences (Narrow Grouping) |
Result Type: | Grade/Mark |
Availability
Year | Location | Period | Internal | Partially Online Internal | Area External | Central External | Fully Online |
---|---|---|---|---|---|---|---|
2015 | Bentley Campus | Semester 1 | Y | ||||
2015 | Kalgoorlie Campus | Semester 1 | Y |
Area External refers to external course/units run by the School or Department or offered by research.
Central External refers to external and online course/units run through the Curtin Bentley-based Distance Education Area
Partially Online Internal refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
Fully Online refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
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