Part A: Course Overview

Course Title: Engineering Practice 3- Mathematical Modelling for Engineers

Credit Points: 12.00

Important Information:

 

 


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,
Sem 1 2023,
Sem 1 2024,
Sem 1 2025

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

Recommended Prior Study 

You should have satisfactorily completed or received credit for the following course/s before you commence this course: 

If you have completed prior studies at RMIT or another institution that developed the skills and knowledge covered in the above course/s you may be eligible to apply for credit transfer. 

Alternatively, if you have prior relevant work experience that developed the skills and knowledge covered in the above course/s you may be eligible for recognition of prior learning. 

Please follow the link for further information on how to apply for credit for prior study or experience. 


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 program learning outcomes for the following programs: 

BH077 Bachelor of Engineering (Civil and Infrastructure) (Honours) 
BH077HKG - Bachelor of Engineering (Civil and Infrastructure)(Honours)  
BH088CIHDD Bachelor of Engineering (Civil and Infrastructure) (Honours)/Bachelor of Business (Management) 

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

BH077P23 - Bachelor of Engineering (Civil Engineering) (Honours) 
BH088CIH23 - Bachelor of Engineering (Civil and Infrastructure) (Engineering) (Honours) / Bachelor of Business 
BH077BIT - Bachelor of Engineering (Civil and Infrastructure) (Honours)  

PLO 1 Demonstrate a coherent and advanced understanding and knowledge of fundamental engineering and scientific theories, principles and concepts and apply advanced technical knowledge in specialist domain of engineering.   
PLO 2 Demonstrate a coherent and advanced body of knowledge within the engineering discipline.  
PLO 4 Apply knowledge of established engineering methods to the solution of complex problems in the engineering discipline.  
PLO 5 Utilise mathematics, software, tools and techniques, referencing appropriate engineering standards and codes of practice, in the design of complex engineering systems.  

For more information on the program learning outcomes for your program, please see the program guide. 


Upon 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

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course. 

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.


Overview of Assessment

Assessment Tasks 

Assessment Task 1: Topic Assessments: Extended Online Problems 
Weighting 30%  
This assessment task supports CLOs 1 - 5  

Assessment Task 2: In-Class Quizzes 
Weighting 30%  
This assessment task supports CLOs 1 – 6  

Assessment Task 3: End of Semester Test  Exam 
Weighting 40%  
This assessment task supports CLOs 2 - 6  

We expect students to be available for in class and on-campus tests during all weeks of semester (Weeks 1–12) as well as the examination period (Weeks 14–16). 

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.