ENCN304-26S1 (C) Semester One 2026

Applied Mathematical Methods

15 points

Details:
Start Date: Monday, 16 February 2026
End Date: Sunday, 21 June 2026
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 1 March 2026
  • Without academic penalty (including no fee refund): Sunday, 10 May 2026

Description

Analytical and numerical methods for engineering problems. Vector calculus. Systems of linear equations. Systems of ordinary differential equations. Partial differential equations. Time series analysis.

1. Whakamahuki - Overview
Applied Mathematical Methods is a compulsory 15-point course taught in the first semester of second professional to all civil and environmental engineering students. It builds directly on the material taught in EMTH210. The focus of the course is on advanced mathematical methods that have application in a range of core engineering disciplines.  Mathematical modelling and analysis lie at the heart of engineering analysis and this course aims to extend your skills in this area whereby you will be able to construct both analytical and numerical models that describe a range of physical problems, most particularly in the area of continuum mechanics. Solid mechanics, geomechanics and fluid mechanics all deal with dynamical systems that vary in both space and time and the description of these systems is heavily dependent on vector calculus and partial differential equations.

The course is split into two broad components, each of which is comprised of a number of sub-topics. The first component covers advanced ideas in linear algebra, ordinary differential equations and vector calculus. Both analytical and numerical solution methods are introduced for the material on linear algebra and ordinary differential equations. In many ways, this first component provides the necessary tools for attacking problems that arise in the second component on partial differential equations and time series analysis. In this component the equations governing fundamental physical processes such as wave transmission, and unsteady and steady-state diffusion are derived and solved both analytically and numerically. The three canonical partial differential equations, the wave equation, diffusion/heat equation and Laplace's equation, are covered. The analytical solutions developed for these equations are intended to provide you with some basic tools for solving these equations and gaining important insights into the physical phenomena they model, while the numerical solutions will introduce methods more generally used for solving practical engineering problems.

The concepts and techniques developed in this course will appear in several fourth-year courses, in particular those that consider fluid dynamical problems such as unsteady pipe flow and ocean waves. In addition, if you are contemplating postgraduate study you will find the mathematical skills developed in this course to be very useful.

In both components of the course, the emphasis is on the application of mathematical tools and concepts to engineering, and civil and environmental engineering in particular.

Learning Outcomes

At the conclusion of this course students should be able to do the learning objectives listed in the table below.

Learning Objective UC Graduate Attributes* Washington Accord attributes+

1 Apply analytic and numerical methods for the solution of linear algebra problems. EIE3 WA1

2 Solve systems of ordinary differential equations using analytical and numerical methods. EIE3, EIE4 WA1, WA5

3 Explain the key concepts of vector calculus that facilitate the description of continuum mechanics problems EIE3 WA2

4 Explain the canonical second-order partial differential equations, the wave equation, the diffusion equation and Laplace's equation. EIE3 WA2

5 Apply analytical and numerical solutions to these equations that provide insight into the underlying physical phenomena being modelled. EIE3, EIE4 WA3, WA5

6 Explain the key concepts of time series analysis that facilitate description of a dynamic system EIE3 WA2

Prerequisites

Restrictions

ENCI302

Timetable 2026

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 11:00 - 12:00 E8 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Lecture B
Activity Day Time Location Weeks
01 Tuesday 11:00 - 12:00 E8 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Lecture C
Activity Day Time Location Weeks
01 Wednesday 14:00 - 15:00 E8 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Lecture D
Activity Day Time Location Weeks
01 Thursday 08:00 - 09:00 C2 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Tutorial A
Activity Day Time Location Weeks
01 Thursday 10:00 - 11:00 Rehua 102
16 Feb - 29 Mar
20 Apr - 31 May
02 Thursday 15:00 - 16:00 Rehua 102
16 Feb - 29 Mar
20 Apr - 31 May
03 Friday 15:00 - 16:00 Rehua 103 Project Workshop
16 Feb - 29 Mar
20 Apr - 31 May
04 Friday 09:00 - 10:00 Rehua 102
16 Feb - 29 Mar
20 Apr - 31 May

Course Coordinator

David Dempsey

Lecturers

Mehdi Ekbatani and Reagan Chandramohan

Assessment

Assessment Due Date Percentage 
exam 44%
weekly homework 6%
Quizzes 6%
Test 44%


Special Considerations

Any student who has been impaired by significant exceptional and/or unforeseeable circumstances that have prevented them from completing any major assessment items, or that have impaired their performance such that the results are not representative of their true level of mastery of the course material, may apply for special consideration through the formal university process. The applicability and academic remedy/action associated with the special consideration process are listed for each assessment item below. Please refer to the University Special Consideration Regulations and Special Consideration Policies and Procedures documents for more information on the acceptable grounds for special consideration and the application process.
https://www.canterbury.ac.nz/study/study-support-info/study-topics/special-consideration

Special Consideration for Weekly Homework Assignments and Quizzes

Due to their smaller contribution to total course grade, weekly homework assignments and quizzes are handled informally by the course coordinator. Please refer to notes 4 and 5 in Section 7 for course policies to accommodate disruptions. No additional extensions or exemptions will be granted beyond these.

Special Consideration for Midterm Tests

Moderate/Serious/Severe Impact: Students will be offered an equivalent alternative test that will replace their original test mark. The original test mark will not be revealed to the student prior to taking the resit.

Special Consideration for Final Exam

Moderate/Serious/Severe Impact: Students will be offered an equivalent alternative exam that will replace their original exam mark. The original exam mark will not be revealed to the student prior to taking the resit.

The resit test will be held on a date early in Term 2. Resit exams will be held during a special resit week following the exam period. Students must be available to take the resit test or exam in person. Students with pending Special Consideration applications are advised to take the resit, but will not benefit from it unless their application is eventually approved at the appropriate level of severity.

All communication associated with the arrangement of equivalent alternative tests/exams will be conducted using official UC email accounts. Students will have a clearly specified amount of time to respond to the offer to sit the alternative assessment. Failure to respond will be interpreted as a declined offer. If the offer is declined or no response is received in the specified time frame, the original assessment mark will be used to compute the course grade.

Textbooks / Resources

This course does not have a required text and instead provides notes and other resources on LEARN. Furthermore, a number of articles will be posted on the class LEARN site as recommended reading. Please note that all lecture recordings, made available through LEARN, are copyrighted and are not for public dissemination.

Additional Course Outline Information

Academic integrity

All students are expected to be familiar with the University’s codes, policies, and procedures including but not limited to the Student Code of Conduct, Campus Drug and Alcohol Policy, Copyright Policy, Disability and Impairment Policy, and Equity and Diversity Policy. It is the responsibility of each student to be familiar with the definitions, policies and procedures concerning academic misconduct/dishonest behaviour. More information on UC’s policies and academic integrity can be found in the undergraduate handbook as well as at:

https://www.canterbury.ac.nz/about-uc/corporate-information/policies
https://www.canterbury.ac.nz/about-uc/what-we-do/teaching/academic-integrity

Other specific requirements

Generative AI use in this course

It is not practical to regulate the use of Generative AI (e.g., ChatGPT) for internal assessments on this course – weekly homework and quiz assignments. Students are allowed to use these tools in whichever manner they see fit. However, you should be aware of the risks, which are described below.

Research clearly shows that the unrestricted use of ChatGPT by students during mathematical education leads to decreased performance on external assessment (which happens to comprise most of your grade in this course). For instance, this study showed a 17% reduction in test performance, more than three grade points.

The primary mechanisms leading to adverse outcomes appear to be (1) shallow learning, where AI prevents you spending sufficient time with the material to obtain a deep understanding of it, and (2) AI dependency, where overuse of the tool leads to an inability to apply methods or think critically once it is taken away.

If you intend to use Generative AI on this course, consider prompting with some basic guardrails to prevent the above impacts on your learning:

“You are a math tutor helping me with a homework problem. Please suggest one (and only one) next step for me to consider on the following problem. Don’t complete the problem for me. **paste your problem**.”
“You are a coding tutor helping me with a homework problem. Here is some code I have written and the error that I am getting. Please give me some hints about how I can fix this. Do not give me the corrected code though. **paste your code and error message**.”

Even with the guardrails, a helpful Generative AI will frequently just give you the solution to a problem, cheating you of the opportunity to learn it yourself.

Indicative Fees

Domestic fee $1,190.00

International fee $6,488.00

* 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 Civil and Environmental Engineering .

All ENCN304 Occurrences

  • ENCN304-26S1 (C) Semester One 2026