Applied and Quantitative Methods in Engineering

Unit code: NEF1005 | Study level: Undergraduate
Credit points
12
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
Footscray Park
Prerequisites
NEF1002 - Engineering Computational Methods; or
NEF1105 - Mathematics for Engineering and Science
(Or equivalent to be determined by unit coordinator)
Overview
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Overview

In this unit, you will take your mathematical skills to the next level, exploring advanced calculus, differential equations, complex numbers, statistics, and probability, which are all essential tools for solving real-world engineering challenges. Moving beyond basic principles, you will gain an understanding of how these concepts drive decision-making in engineering, from designing efficient structures to optimising complex systems.



This unit is not just about equations, it is about practical application and problem-solving. You will use industry-standard software like MATLAB, Python, and Excel to analyse data, model real-world scenarios, and automate complex calculations. By integrating computational tools with mathematical reasoning, you will develop critical thinking skills that are vital for effective engineering problem-solving.



By the end of this unit, you will have begun to develop tools for tackling complex engineering problems with a data-driven approach, equipping you with analytical skills and a technical foundation as you continue into advanced studies and professional practice.

Learning Outcomes

On successful completion of this unit, students will be able to:

  1. Integrate advanced mathematical concepts including calculus, differential equations, complex numbers, and statistics into engineering practice;
  2. Apply advanced mathematical techniques to solve complex engineering problems;
  3. Employ digital programming tools for engineering analysis and problem-solving; and
  4. Develop and interpret statistical models to analyse and predict engineering outcomes.

Assessment

For Melbourne campuses

Assessment type: Portfolio
|
Grade: 30%
Portfolio of digital problem-solving tasks. (Individual) (1000 words)
Assessment type: Test
|
Grade: 25%
Problem solving scenario test on core mathematical concepts (Individual) (60mins)
Assessment type: Test
|
Grade: 45%
Problem solving scenario test on fundamental engineering principles (Individual) (90mins)

Portfolio: Structured portfolio of digital problem-solving tasks with progressive skill development supported by regular feedback and validation discussions.

Test: These are invigilated secure assessments with unpredictable questions that test deep understanding, require explanation of reasoning and process, and include application to new scenarios.

Required reading

Required readings will be made available on VU Collaborate

As part of a course

This unit is studied as part of the following course(s):

Bachelor of Engineering (Honours) (Civil Engineering)
NHEC | Bachelor honours degree | Duration: 4 years

Refer to the course page for information on how to apply for the course. VU takes care to ensure the accuracy of this unit information, but reserves the right to change or withdraw courses offered at any time. Please check that unit information is current with the Student Contact Centre.

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