MATH12225 - Applied Computational Modelling

General Information

Unit Synopsis

Applied Computational Modelling will further your understanding of and ability in mathematical modelling of scientific and engineering problems. You will use built-in MATLAB functions to solve general problems in various disciplines. You will also learn to program in MATLAB to obtain solutions to complex problems through both analytical and numerical approaches. This unit will teach you to approach problems in a way that demonstrates a clear, logical, and systematic procedure of modelling through integrating mathematical and programming knowledge and techniques. You will also learn how to document problems and findings. Course work leads you to approach posed problems in a way that demonstrates a clear, logical, and systematic procedure of modelling through integrating mathematical and programming knowledge and techniques learnt.

Details

Level Undergraduate
Unit Level 2
Credit Points 6
Student Contribution Band SCA Band 1
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites
Pre-requisite: MATH11219

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 1 - 2025

Term 1 - 2025 Profile
Bundaberg
Cairns
Gladstone
Mackay
Online
Rockhampton

Attendance Requirements

All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Assessment Overview

Recommended Student Time Commitment

Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Assessment Tasks

This information will not be available until 8 weeks before term.
To see assessment details from an earlier availability, please search via a previous term.

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University's Grades and Results Policy for more details of interim results and final grades

Past Exams

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Previous Feedback

Term 1 - 2023 : The overall satisfaction for students in the last offering of this course was 58.82% (`Agree` and `Strongly Agree` responses), based on a 27.27% response rate.

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Source: Email, Moodle, Student Feedback
Feedback
Students felt that in certain cases, marking was too arbitrary.
Recommendation
Consider allocating project marking to the unit coordinator, and theory (coding) marking to the other marker/s with a better specification of marking criteria.
Action Taken
Marking criteria were revised, and all marking was done by the unit coordinator.
Source: Email, Moodle, Zoom, Student Feedback
Feedback
Students without previous coding skills experienced a steep / difficult learning curve.
Recommendation
A few weeks of coding is planned to be incorporated into the first year units from 2023. Give further weekly support to students with insufficient coding background.
Action Taken
The weekly Zoom scaffolding sessions were geared toward students with little or no programming knowledge. These sessions were very successful and beneficial to students.
Source: Email, Moodle, Student Feedback
Feedback
Students found the Theory Assignment and Final Online Test long and challenging.
Recommendation
Consider reducing the content/length of the coding-based assessments. Consider scaffolding sessions to help students build confidence for their assessments.
Action Taken
The final online test was shortened. Assessment content and interpretation were discussed during weekly Zoom sessions.
Source: Student Feedback
Feedback
Some students felt that more useful knowledge and skills could be learned.
Recommendation
Help students to find interesting projects in their field to model in MATLAB (Project A). Consider linking Project B to more authentic engineering problems.
Action Taken
Students were helped to find more relevant projects. Visually stimulating assessments were set to stimulate the student's interest in the assessment question's topic.
Source: Student Feedback (SUTE)
Feedback
Students appreciate choosing a discipline-specific topic for Assignment A.
Recommendation
Project A should be kept and help students who struggle to find a project get an interesting, discipline-relevant project from literature.
Action Taken
In Progress
Source: Student Feedback (SUTE)
Feedback
Students appreciate the additional programming assistance offered through Zoom.
Recommendation
This approach should be kept to help scaffold student coding knowledge to better prepare them for their assessments.
Action Taken
In Progress
Source: Student Feedback (SUTE)
Feedback
Students would appreciate short, modular teaching videos on specific MATLAB functions.
Recommendation
Short instructional videos should be trialled on MATLAB functions/commands.
Action Taken
In Progress
Unit learning Outcomes
This information will not be available until 8 weeks before term.
To see Learning Outcomes from an earlier availability, please search via a previous term.