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A continuation of EMTH118. Topics covered include methods and Engineering applications of calculus, differential equations, and linear algebra, along with an introduction to probability. This course is a prerequisite for many courses in engineering mathematics and other subjects at 200 level.
Due to the condensed nature of this course students are expected to attend every lecture AND every tutorial, at the times specified, on the following days:Lecture Times: Tue 9 - 10.30; Wed 12 - 1:30; Thu 12 - 1:30; Fri 9 - 10.30Tutorial Times: Tue 11 - 12; Wed 2 - 3; Thu 2 - 3; Fri 11 - 12The official start date for the course is 25th November 2019. In the first week we will be posting self-study material and revision units in Learn. You should study these at home to prepare for the start of on-campus lectures on Tuesday 3rd December. Tutorials follow every lecture, that is, each day there will be a tutorial with exercises to practise the material covered in that day's lecture. You must be able to make a commitment to being on-campus from 3rd December to 20th December and 7th January to 30th January (inclusive), plus the exam on Friday 7th February, before enrolling in this course.EMTH119 consolidates concepts from EMTH118 and introduces more advanced ideas in calculus and linear algebra. It includes applications of this mathematics to applied and engineering problems.It also incorporates some study of probability. It is a prerequisite for many courses in engineering mathematics and other subjects at the 200-level.Topics: Differential equations. First-order ordinary differential equations with applications. Second-order ordinary differential equations with applications.Sequences and mathematical induction. Applications of differentiation to approximation. Approximation by Taylor polynomials. Landau’s notation and order of magnitude.Matrices and determinants. Probability. Sets and probability. Discrete random variables. Continuous random variables. Expectation, mean, and variance.Techniques and applications of integration. Integration of rational functions.Arc length. Improper integrals. Vector Geometry Projections. Parallel and intersecting planes. Intersection and distance problems.
Students who have succeeded in this course will be able touse calculus, algebra or probability to - evaluate integrals arising in mathematics and engineering - solve first and second order differential equations - find Taylor approximations to functions - calculate mean and variance of random variables and solve probability problems arising in engineering applications - calculate determinants, eigenvalues and eigenvectors - investigate the geometry of multivariable functions and classify critical pointsdemonstrate understanding of the mathematical topics in the course by - giving definitions of fundamental concepts - competent manipulation of functions, matrices, random variables and complex numbers - choosing effective solution techniques for given problems - verifying correctness of mathematical calculationsdescribe and interpret the meaning of mathematical solutions to engineering problems (particularly differential equations and random variables)synthesise material from different sections of course (for example, using integration techniques and limit evaluation to solve differential equation or probability problems)
MATH103, MATH109, MATH199
Students must attend one activity from each section.
The timetable runs November 2018 to February 2019.
, Michael Langton
and Patrick Kearney
MapleTA quizzes (eight worth 2% each): 16%Test 1: 18%Test 2: 18%Examination: 48%Note: To obtain a clear pass (a C– or better), you must obtain at least 40% in the final examination.
Recommended reading:Anton, Howard., Bivens, Irl., Davis, Stephen; Calculus: Early Transcendentals; 10th edition; Wiley (8th or 9th edition also suitable).
General information for students
Domestic fee $956.00
International fee $5,250.00
* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.
For further information see
Mathematics and Statistics.