Engineering Computational Methods
Credit points
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
Prerequisites
Co-requisites
(Corequisite units must be studied concurrently with this unit)
Overview
In this unit, you will build foundational mathematical and analytical skills required for solving complex engineering problems. Engineering Computational Methods introduces key mathematical concepts, including algebra, calculus, vectors, and matrices, and demonstrates their applications in engineering. You will gain a theoretical understanding and learn to apply these mathematical techniques to real-world engineering challenges through hands-on problem-solving.
This unit integrates the use of digital tools such as Excel, MATLAB, and Desmos to automate calculations and model engineering scenarios, enhancing your ability to graph functions, solve systems of equations, and analyse engineering data. By working through case studies, you will develop your analytical mindset and computational proficiency for approaching engineering challenges. By the end of this unit, you will have applied mathematical techniques and used digital tools in the process of engineering problem-solving, developing your ability to model, analyse, and interpret data across various engineering applications.
Learning Outcomes
On successful completion of this unit, students will be able to:
- Demonstrate understanding of fundamental mathematical concepts and their role in engineering problem-solving;
- Apply algebra, graphing, and calculus techniques to solve a range of engineering problems;
- Employ digital tools to model and analyse mathematical relationships, with a focus on differentiation and integration; and
- Solve fundamental engineering problems using analytical methods involving algebra, calculus, and vectors.
Assessment
For Melbourne campuses
Assessment type: Portfolio | Grade: 30%
Digital Problem-Solving Portfolio (Individual) (900 words)
Assessment type: Test | Grade: 70%
Problem-solving scenario tests applying core mathematical concepts to real-world engineering tasks (Week 2 - 25% - 45mins, Week 4 - 45% - 90mins) (Individual)
Portfolio: Structured portfolio of digital problem-solving tasks with progressive skill development supported by regular feedback and validation discussions.
Tests: These are invigilated in class 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):