Course Title: Engineering Practice 3- Mathematical Modelling for Engineers

Part A: Course Overview

Course Title: Engineering Practice 3- Mathematical Modelling for Engineers

Credit Points: 12.00

Important Information:

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption. 

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT: https://policies.rmit.edu.au/document/view.php?id=209

Please read the Student website for additional requirements of in-person attendance: https://www.rmit.edu.au/covid/coming-to-campus 


Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance. 



Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2115

City Campus

Undergraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016

MATH2115

City Campus

Undergraduate

171H School of Science

Face-to-Face

Sem 1 2017,
Sem 1 2018,
Sem 1 2019,
Sem 1 2020,
Sem 1 2021,
Sem 1 2022

Course Coordinator: Dr. Matt Skerritt

Course Coordinator Phone: N/A

Course Coordinator Email: matt.skerritt@rmit.edu.au

Course Coordinator Location: N/A


Pre-requisite Courses and Assumed Knowledge and Capabilities

MATH2113 and MATH2114, or their equivalents.


Course Description

Engineering Practice 3 Mathematical Modelling for Engineers is a single semester course introducing you to powerful techniques used to assist in determining a mathematical representation of an engineering problem. The specified mathematical model endeavours to reflect the known features of the application being modelled, as well as predicting the system’s behaviour in other circumstances. This course will integrate theory and application using a problem-based approach. This course also prepares you for future learning in relation to problem solving and decision-making; technical competence; teamwork and leadership; and reflection.


Objectives/Learning Outcomes/Capability Development


This course contributes to the development of the following Program Learning Outcomes for BH077 Bachelor of Engineering (Civil and Infrastructure) (Honours) and BH088 Bachelor of Engineering (Civil and Infrastructure) (Honours/ Bachelor of Business (Management):

Knowledge and Skill Base:

1.2 Conceptual understanding of mathematics, numerical analysis, statistics, computer and information sciences which underpin the engineering discipline



On successful completion of this course, you will be able to

  1. Determine the curvature of a function and relate it to the deflection of beams.
  2. Calculate the deflections of beams under varying loads and profiles.
  3. Use the influence function to solve beam deflection problems.
  4. Calculate the Fourier series for a variety of periodic functions.
  5. Utilise Fourier series techniques to generate solutions to common boundary value problems.
  6. Determine the vibrational behaviour of beams for different supports


Overview of Learning Activities

Key concepts and their application will be explained and illustrated (with many examples) in learning materials/lectures and in online notes. Interactive problem-based practice classes will build your capacity to solve problems, encourage you to think critically and analytically and provide feedback on your academic progress. Assignments and other authentic discipline-based assessments will consolidate your basic skills and knowledge of the topics presented in class. Additional self-help tutorial questions will provide a focus for your private study. 


Overview of Learning Resources

You will be able to access course information and learning materials through myRMIT and Canvas. Canvas will give access to important announcements, a discussion forum, staff contact details, online notes, past assessment examples and self-help exercises. You are advised to read your student e-mail account daily for important announcements. You should also visit Canvas at least once a day for important course announcements and course-related documentation.   


A Library Guide is available at: http://rmit.libguides.com/mathstats 


Overview of Assessment

Note: This course has no hurdle requirements. 


Assessment Tasks 



Assessment Item 1: Class Exercises 

Weighting 35% 

This assessment task supports CLOs 1 - 6 


Assessment Item 2: Authentic In-Class Practical Assessments 

Weighting 40% 

This assessment task supports CLOs 1 – 6 


Assessment Item 3: Authentic Discipline-Based Assignment 

Weighting 25% 

This assessment task supports CLOs 1 - 6