ENCN231-26S1 (C) Semester One 2026

Solid Mechanics

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 solid and structural mechanics: analysis of statically determinate structures; stress and strain; behaviour of beams and columns; analysis of deformations; torsion.

Prerequisites

Subject to approval of the Dean of Engineering and Forestry

Restrictions

ENCI230, ENCI234

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 Monday 09:00 - 10:00 C3 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Lecture B B
Activity Day Time Location Weeks
01 Tuesday 10:00 - 11:00 E8 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
02 Tuesday 14:00 - 15:00 E6 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Lecture C C
Activity Day Time Location Weeks
01 Wednesday 08:00 - 09:00 C3 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
02 Wednesday 12:00 - 13:00 E6 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Lecture D D
Activity Day Time Location Weeks
01-P1 Thursday 08:00 - 09:00 E8 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
01-P2 Thursday 12:00 - 13:00 Meremere 108 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Lab A A
Activity Day Time Location Weeks
01 Monday 12:00 - 14:00 Civil - Mech E117 Model Structures Lab
27 Apr - 10 May
02 Monday 15:00 - 17:00 Civil - Mech E117 Model Structures Lab
27 Apr - 10 May
03 Tuesday 11:00 - 13:00 Civil - Mech E117 Model Structures Lab
27 Apr - 10 May
04 Tuesday 14:00 - 16:00 Civil - Mech E117 Model Structures Lab
27 Apr - 10 May
05 Wednesday 11:00 - 13:00 Civil - Mech E117 Model Structures Lab
27 Apr - 10 May
06 Wednesday 14:00 - 16:00 Civil - Mech E117 Model Structures Lab
27 Apr - 10 May
07 Thursday 12:00 - 14:00 Civil - Mech E117 Model Structures Lab
27 Apr - 10 May
08 Thursday 16:00 - 18:00 Civil - Mech E117 Model Structures Lab
27 Apr - 10 May
09 Friday 08:00 - 10:00 Civil - Mech E117 Model Structures Lab
27 Apr - 10 May
10 Friday 14:00 - 16:00 Civil - Mech E117 Model Structures Lab
27 Apr - 10 May
Tutorial A A
Activity Day Time Location Weeks
01 Tuesday 08:00 - 09:00 Rehua 003 Music
16 Feb - 29 Mar
20 Apr - 31 May
02-P1 Wednesday 13:00 - 14:00 Psychology - Sociology 116
16 Feb - 29 Mar
20 Apr - 31 May
02-P2 Wednesday 16:00 - 17:00 Ernest Rutherford 141
16 Feb - 29 Mar
20 Apr - 31 May
03-P1 Thursday 13:00 - 14:00 Ernest Rutherford 141
16 Feb - 29 Mar
20 Apr - 31 May
03-P2 Friday 09:00 - 10:00 Rehua 102
16 Feb - 29 Mar
20 Apr - 31 May
04 Thursday 16:00 - 17:00 Psychology - Sociology 116
16 Feb - 29 Mar
20 Apr - 31 May

Assessment

Assessment Due Date Percentage  Description
final exam 45% Learning Objectives assessed 1-7
Lab assignment 15% LO Ass 1-5, 7, 8
Online Quizzes (9x11) 10% LO Ass 1-7
Mid term test 30% LO Ass 1-4, 7

Textbooks / Resources

Recommended Reading

Beer, Johnston, Dewolf and Mazurek; Mechanics of Materials ; 7th; McGraw Hill, 2014.

Additional Course Outline Information

Academic integrity

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.

Where to submit and collect work

Lab assignments must be submitted to the applicable assignment drop box on LEARN by 5.00 pm, three weeks after the allocated laboratory section. Late submissions will incur a 20% penalty per day late. Further instructions for the lab assignment are available on LEARN and on the provided lab assignment sheet.

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 ENCN231 Occurrences

  • ENCN231-26S1 (C) Semester One 2026