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A first course in the methods and applications of engineering mathematics. Topics include calculus, linear algebra, and modelling techniques. This Course is designed for engineering students who have done well in NCEA Mathematics with calculus.
An introductory course in calculus and linear algebra that is designed primarily for students who have done well in NCEA Level 3 Mathematics with Calculus. This course deals with basic ideas in calculus and linear algebra which have applications in many areas of engineering. Topics include linear equations and matrices; vector geometry; functions, limits, and continuity; differentiation; integration; and functions of two or more variables.A pass in EMTH118 allows entry into EMTH119, which are both compulsory courses for the engineering intermediate year. It is also a prerequisite for ENGR102
to consolidate and extend the ideas and techniques of calculus and its applicationsto introduce the concepts of linear algebra and its applicationsto increase understanding of the mathematical foundations of the topics studiedto practise the application of mathematical concepts and techniques to understanding and solving problemsto introduce computer software used to solve mathematical problems
1) MATH101, or2) NCEA 14 Credits (18 strongly recommended) at level 3 Mathematics (including the standards 'Apply differentiation methods in solving problems (91578)' and 'Apply integration methods in solving problems (91579)'), or3) Cambridge: D at A level or an A at AS level in Mathematics, or4) IB: 4 at HL or 5 at SL in Mathematics, or5) approval of the Head of School based on alternative prior learning.
MATH102, MATH108, MATH199
Students must attend one activity from each section.
Calculus : early transcendentals
Cengage Learning, 2016.
General information for students
Domestic fee $1,002.00
International fee $5,625.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see
Mathematics and Statistics