ENGR403-26S1 (C) Semester One 2026

Fire Engineering

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

Introduction to Fire Engineering. Fire ignition, flame spread and flame height. The performance of construction materials and fire resistance. People movement and behaviour during fires. Fire detection, suppression and smoke extract systems. Wildland fires, fire investigation, fire-fighting.

Prerequisites

Subject to approval of the Director of Studies

DRAFT TIMETABLE:

Please note that the 2026 timetable has not been finalised.

Scheduled days and times will be confirmed, following review, on 15th October.

Timetable 2026

Students must attend one activity from each section.

Lecture A A
Activity Day Time Location Weeks
01 Tuesday 15:00 - 17:00 Jack Erskine 031 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Lecture B B
Activity Day Time Location Weeks
01 Thursday 12:00 - 13:00 F3 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Computer Lab A A
Activity Day Time Location Weeks
01 Thursday 13:00 - 16:00 Civil - Mech E212 Civil Computer Lab
25 May - 31 May
Lab A A
Activity Day Time Location Weeks
01 Monday 11:00 - 13:00 Civil 101 Fire Engineering Lab
9 Mar - 15 Mar
02 Monday 09:00 - 11:00 Civil 101 Fire Engineering Lab
9 Mar - 15 Mar
03 Monday 13:00 - 15:00 Civil 101 Fire Engineering Lab
9 Mar - 15 Mar

Assessment

Assessment Due Date Percentage 
Assignment (x4) 30%
final exam 50%
Test 20%

Textbooks / Resources

Recommended Reading

James G. Quintiere; Principles of FIRE BEHAVIOR ; Boca Raton, 2016.

Karlsson, Bjorn. , Quintiere, James G; Enclosure fire dynamics ; CRC Press, 2000.

Spearpoint, Michael. , New Zealand Centre for Advanced Engineering; Fire engineering design guide ; 3rd ed; New Zealand Centre For Advanced Engineering, 2008 (CD can also be purchased from the Dept).

Additional Course Outline Information

Academic integrity

Generative AI Policy

Generative AI (e.g., ChatGPT) is a new technology with clear implications for civil and natural resource engineering practice. In this course, the use of generative AI is permitted for report writing providing it adheres to this policy.

Generative AI can be used to improve your writing and provide editing feedback. When using AI to alter your writing, it is important to check that the substantive message of the text has not been altered. It is recommended that your prompt end with “…and explain the changes that you made” so that you can gain feedback to improve your own writing. It is not recommended to use AI to generate original text. Rather, it is safer to place yourself in the role of author, and AI in the role of editor, so that it is only improving the communication of your original ideas.

AI can be used to find, gather and summarize knowledge on a subject that is outside your expertise. However, it is important that you verify any information produced by AI. AI output can be convincingly wrong on technical matters. AI output can be incomplete, potentially omitting alternative hypotheses or views. AI output can be contradictory, offering concluding statements that are incoherent with arguments given earlier. Thus, it is important to verify AI-generated output. This includes checking source material, asking or reprompting an AI for alternative views, and challenging it to justify its statements. Verification may only possible when you are a subject matter expert, i.e., a competent engineer.

An AI is not a substitute for a creative, problem-solving engineer. It cannot match the complex reasoning or emotional intelligence of a human. Relying on an AI to solve problems for you may prevent you from achieving course Learning Outcomes. Being unable to demonstrate your mastery of Learning Outcomes during an invigilated assessment (test or exam) when AI is unavailable could lead to you failing the course.

If you decide to use AI to complete a course assessment, then it is important that you are transparent about this use. If you use AI to edit the text of your submission, then you must disclose this in your submission. Use of AI that falls within the policy described here will not result in a penalty.

Students suspected of using AI outside the specifications of this document will be reported to the department Academic Integrity Officer. As part of their investigation, students may be invited to attend an interview, during which they may be asked to describe how the assessment was completed or to demonstrate their knowledge of the subject. If it is determined that a student is likely to have misused AI, then disciplinary action may be taken, including partial or full denial of credit for an assignment or course, X-mark on transcript denoting breach of academic integrity, suspension, fines and expulsion.

Further reading:
Academic Integrity at the University of Canterbury. https://www.canterbury.ac.nz/about-uc/what-we-do/teaching/academic-integrity
Engineering NZ guidelines on ethical use of Generative AI. https://www.engineeringnz.org/programmes/engineering-and-ai/appropriate-safe-and-ethical-use/

Indicative Fees

Domestic fee $1,344.00

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 ENGR403 Occurrences