EMTH210-22S1 (C) Semester One 2022

Engineering Mathematics 2

15 points

Details:
Start Date: Monday, 21 February 2022
End Date: Sunday, 26 June 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 6 March 2022
  • Without academic penalty (including no fee refund): Sunday, 15 May 2022

Description

This course covers material in multivariable integral and differential calculus, linear algebra and statistics which is applicable to the engineering professions.

Mathematics underpins almost every aspect of modern engineering. This is reflected by the fact that all first professional year students must take EMTH210. With the centrality of this course to your professional development in mind, considerable effort has gone into selecting mathematical and statistical topics which will provide the groundwork for you to appropriately mathematise your engineering work. Throughout the course, your lecturers will also endeavour to relate the rigour of the mathematics to the practicality of the situations in which it will be applied, as we concentrate on your ability to apply the techniques to realistic situations.

The following topics will be covered, subject to the time available:
• Partial differentiation, chain rule, gradient, directional derivatives, tangent planes, Jacobian, differentials, line integrals, divergence and curl, extreme values and Lagrange multipliers.
• Second order linear differential equations and their applications.
• Fourier series.
• Double and triple integrals: elements of area, change of order of integration, polar coordinates, volume elements, cylindrical and spherical coordinates.
• Eigenvalues and eigenvectors and their applications.
• Laplace transforms.
• Statistics: approximating expectations, characteristic functions, random vectors (joint distributions, marginal distributions, expectations, independence, covariance), linking data to probability models (sample mean and variance, order statistics and the empirical distribution function, convergence of random variables, law of large numbers and point estimation, the central limit theorem, error bounds and confidence intervals, sample size calculations, likelihood).

Learning Outcomes

  • A student achieving total mastery of this course will be able to:
  • Show proficiency in multivariable calculus, including partial differentiation, implicit partial differentiation, the multidimensional chain rule, gradient, directional derivative, tangent planes, Jacobians, differentials, line integrals (exact and inexact), divergence, curl, and Lagrange multipliers.
  • Solve homogeneous constant coefficient ODEs and also inhomogeneous constant coefficient ODEs using undetermined coefficients.   This includes ODEs of order other than two.
  • Solve elementary second order boundary value problems, and appreciate some applications of BVPs in engineering.
  • Calculate real Fourier series of arbitrary period, and employ them to solve ODEs with periodic driving functions.  The student will also be knowledgeable of concepts such as harmonics and Gibbs phenomenon in Fourier series analysis.
  • Integrate in multiple dimensions using Cartesian, polar and spherical polar coordinate systems.  
  • Calculate the eigenpairs of matrices.
  • Familiar with orthogonal decomposition, and use it to find the principal axes of an ellipse.
  • Proficient in the solution of systems of first and second order ODEs via eigenvalues and eigenvectors, and familiar with the implications defective matrices in such situations.
  • Apply Laplace transforms to differential and some integral equations, including those with piecewise functions via the Heaviside step function.
  • Approximate expectations.
  • Work with random vectors, joint and marginal distributions, independence and covariance.
  • Link data to probability models, sample mean, variance, order statistics, and the empirical distribution function.
  • Be familiar with convergence of random variables, the law of large numbers, point estimation, the central limit theorem, likelihood, error bounds, and confidence intervals.
  • Do sample size calculations.

Pre-requisites

Subject to approval of the Dean of Engineering and Forestry

Restrictions

EMTH202, EMTH204, MATH201, MATH261, MATH262, MATH264

Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 11:00 - 12:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
02 Monday 13:00 - 14:00 A1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 11:00 - 12:00 A1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
02 Tuesday 13:00 - 14:00 A1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
Lecture C
Activity Day Time Location Weeks
01 Thursday 11:00 - 12:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
02 Thursday 13:00 - 14:00 A1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
Lecture D
Activity Day Time Location Weeks
01 Friday 12:00 - 13:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
02 Friday 14:00 - 15:00 A1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
Tutorial A
Activity Day Time Location Weeks
01 Monday 08:00 - 09:00 Eng Core 128 Tutorial Room
21 Feb - 10 Apr
2 May - 5 Jun
02 Monday 08:00 - 09:00 Jack Erskine 240
21 Feb - 10 Apr
2 May - 5 Jun
03 Monday 12:00 - 13:00 Eng Core 128 Tutorial Room
21 Feb - 10 Apr
2 May - 5 Jun
04 Monday 12:00 - 13:00 Eng Core 129 Tutorial Room
21 Feb - 10 Apr
2 May - 5 Jun
05 Monday 15:00 - 16:00 Eng Core 128 Tutorial Room
21 Feb - 10 Apr
2 May - 5 Jun
06 Monday 15:00 - 16:00 Eng Core 129 Tutorial Room
21 Feb - 10 Apr
2 May - 5 Jun
07 Monday 16:00 - 17:00 Psychology - Sociology 213
21 Feb - 10 Apr
2 May - 5 Jun
08 Monday 16:00 - 17:00 Karl Popper 413
21 Feb - 10 Apr
2 May - 5 Jun
09 Monday 17:00 - 18:00 Psychology - Sociology 213
21 Feb - 10 Apr
2 May - 5 Jun
10 Monday 17:00 - 18:00 Psychology - Sociology 251
21 Feb - 10 Apr
2 May - 5 Jun
11 Tuesday 09:00 - 10:00 Meremere 409
21 Feb - 10 Apr
2 May - 5 Jun
12 Tuesday 09:00 - 10:00 Psychology - Sociology 213
21 Feb - 10 Apr
2 May - 5 Jun
13 Tuesday 10:00 - 11:00 E13
21 Feb - 10 Apr
2 May - 5 Jun
14 Tuesday 10:00 - 11:00 Psychology - Sociology 213
21 Feb - 10 Apr
2 May - 5 Jun
15 Tuesday 11:00 - 12:00 Meremere 409
21 Feb - 10 Apr
2 May - 5 Jun
16 Tuesday 11:00 - 12:00 Psychology - Sociology 307
21 Feb - 10 Apr
2 May - 5 Jun
17 Tuesday 12:00 - 13:00 Eng Core 128 Tutorial Room
21 Feb - 10 Apr
2 May - 5 Jun
18 Tuesday 12:00 - 13:00 Psychology - Sociology 213
21 Feb - 10 Apr
2 May - 5 Jun
19 Tuesday 15:00 - 16:00 Meremere 409
21 Feb - 10 Apr
2 May - 5 Jun
20 Tuesday 16:00 - 17:00 Meremere 409
21 Feb - 10 Apr
2 May - 5 Jun
21 Tuesday 17:00 - 18:00 Psychology - Sociology 213
21 Feb - 10 Apr
2 May - 5 Jun
22 Tuesday 17:00 - 18:00 Psychology - Sociology 307
21 Feb - 10 Apr
2 May - 5 Jun
23 Wednesday 08:00 - 09:00 Psychology - Sociology 411
21 Feb - 10 Apr
2 May - 5 Jun
24 Wednesday 08:00 - 09:00 Psychology - Sociology 213
21 Feb - 10 Apr
2 May - 5 Jun
25 Wednesday 14:00 - 15:00 James Logie 104
21 Feb - 10 Apr
2 May - 5 Jun
26 Thursday 08:00 - 09:00 Jack Erskine 241
21 Feb - 10 Apr
2 May - 5 Jun
27 Thursday 08:00 - 09:00 Psychology - Sociology 413
21 Feb - 10 Apr
2 May - 5 Jun
28 Thursday 09:00 - 10:00 Psychology - Sociology 307
21 Feb - 10 Apr
2 May - 5 Jun
29 Thursday 12:00 - 13:00 E13
21 Feb - 10 Apr
2 May - 5 Jun
30 Thursday 12:00 - 13:00 Eng Core 128 Tutorial Room
21 Feb - 10 Apr
2 May - 5 Jun
31 Friday 08:00 - 09:00 Jack Erskine 241
21 Feb - 10 Apr
2 May - 5 Jun
32 Friday 08:00 - 09:00 Psychology - Sociology 413
21 Feb - 10 Apr
2 May - 5 Jun
33 Friday 15:00 - 16:00 Karl Popper 508
21 Feb - 10 Apr
2 May - 5 Jun
34 Friday 15:00 - 16:00 Eng Core 129 Tutorial Room
21 Feb - 10 Apr
2 May - 5 Jun
35 Friday 16:00 - 17:00 Eng Core 128 Tutorial Room
21 Feb - 10 Apr
2 May - 5 Jun
36 Friday 16:00 - 17:00 Psychology - Sociology 213
21 Feb - 10 Apr
2 May - 5 Jun
37 Friday 17:00 - 18:00 Eng Core 129 Tutorial Room
21 Feb - 10 Apr
2 May - 5 Jun

Course Coordinator / Lecturer

Phillip Wilson

Lecturers

Michael Langton and Chris Zane Stevens

Assessment

Assessment Due Date Percentage 
Tutorial Assessment 10%
STACK Test 10%
Mid-course Test 35%
Final Examination 45%


To pass the course, there is a minimum mark required in the Final Examination of 40%, as well as achieving 50% or more in total across all the assessments.

Textbooks / Resources

Recommended Reading:
•Advanced Engineering Mathematics” by Erwin Kreyszig. (This text also covers the statistics material.)
•Advanced Engineering Mathematics” by Zill and Wright.
•Advanced Engineering Mathematics” by Zill and Cullen.

Indicative Fees

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 .

All EMTH210 Occurrences

  • EMTH210-22S1 (C) Semester One 2022