Engineering Modelling
Undergraduate
Undergraduate
MATH 2009
Undergraduate
No
012998
4.5
No
School of Information Technology and Mathematical Sciences
Develop students’ knowledge of mathematics (multivariable calculus) and statistics, and mathematical software in the context of engineering problems.
Calculus. Partial differentiation of multivariable functions, multiple integration. Curves in space. Curve fitting, optimization, formulation and solution of differential equations relating to engineering problems with analytical and software solutions.
Statistics. Graphical and numerical description of data sets. Probability models, confidence intervals, prediction and tolerance intervals, significance tests, statistical process control, linear regression, statistical software.
Computer assisted modelling and problem solving. Apply mathematical principles and tools to selected examples of modelling specific to each of the engineering discipline areas.
Edwards, C H and Penney, D.E 2008, Calculus: Early Transcendentals, 7th Edition, Prentice Hall
Common to all relevant programs | |
---|---|
Subject Area & Catalogue Number | Course Name |
MATH 1063 | Mathematical Methods for Engineers 1 |
The above course and a working knowledge of Mathematical Methods for Engineers 2 MATH 1064
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, MAWSON LAKES | |||
Lecture | 4 hours x 13 weeks | ||
Tutorial | 1 hour x 12 weeks | ||
Computer Practical | 1 hour x 7 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Continuous assessment, Examination, Project 2 x 15%
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.