Course Title: Industrial Applications of Mathematics and Statistics 2

Part A: Course Overview

Course Title: Industrial Applications of Mathematics and Statistics 2

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


145H Mathematical & Geospatial Sciences


Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016


City Campus


171H School of Science


Sem 2 2017,
Sem 1 2018,
Sem 2 2018,
Sem 1 2019,
Sem 2 2019,
Sem 1 2020,
Sem 2 2020,
Sem 1 2021,
Sem 2 2021

Course Coordinator: Assoc Prof Marc Demange

Course Coordinator Phone: +61 3 9925 2385

Course Coordinator Email:

Course Coordinator Location: 15.04.14

Course Coordinator Availability: By appointment, by email

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

This course is a ‘Work Integrated Learning’ experience in which your knowledge and skills will be applied and assessed in a real or simulated workplace context and where feedback from industry and/or community is integral to your experience. 

This is Year 3 course in the programs BP083 Bachelor of Science (Applied Mathematics and Statistics) and BP245 Bachelor of Science (Statistics). It builds on and extends earlier knowledge, skills and their industrial application from the Year 2 course MATH2196 Industrial Applications of Mathematics and Statistics 1. You will apply mathematical and statistical concepts to real life problems or work situations. You will develop your verbal and written communication skills, your ability to work in teams, to respect timelines and adhere to professional ethics.

This course can take the form of a broad range of activities including group or individual projects, placements, simulated work placements or a combination. In some circumstances it can be part of WIL activities organised during a study tour. 

Additional, complementary WIL activities are scheduled for all students, in particular a regular industry seminar that forms part of your assessment. You are expected to attend these activities during the semester of your enrolment. Students taking a WIL experience abroad need to attend these activities prior to their departure. 

The assignment of projects/placements is undertaken via a selection process which takes into account your preferences and academic performance and matches them against advertised eligibility criteria. 

When relevant, the activity will include relations with an external partner and a coordinator from RMIT. 

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for BP083 Bachelor of Science (Applied Mathematics and Statistics): 

Personal and professional awareness

  • contextualise outputs where data are drawn from diverse and evolving social, political and cultural dimensions
  • reflect on experience and improve your own future practice
  • apply the principles of lifelong learning to any new challenge.

Knowledge and technical competence

  • use the appropriate and relevant, fundamental and applied mathematical and statistical knowledge, methodologies and modern computational tools.


  • synthesise and flexibly apply knowledge to characterise, analyse and solve a wide range of problems
  • balance the complexity / accuracy of the mathematical / statistical models used and the timeliness of the delivery of the solution.

Teamwork and project management

  • contribute to professional work settings through effective participation in teams and organisation of project tasks
  • constructively engage with other team members and resolve conflict.


  • communicate both technical and non-technical material in a range of forms (written, electronic, graphic, oral) and tailor the style and means of communication to different audiences. Of particular interest is the ability to explain technical material, without unnecessary jargon, to lay persons such as the general public or line managers.

Information literacy

  • locate and use data and information and evaluate its quality with respect to its authority and relevance.


  • discuss the ethical considerations that inform judgments and decisions in academic and professional settings


On completion of this course you should be able to:

  1. Recognise and participate in the dynamics of a small team, manage your time and schedule your activities in the context of an industry project or work placement and contribute to its completion. 
  2. Present information in both written and oral form and integrate feedback from other stakeholders.
  3. Access data and information and evaluate its quality through practical application with a relevant industry project or work placement.
  4. Appreciate the impact of ethical considerations in the practice of mathematics and statistics through your exposure to a relevant industry project or work placement.
  5. Demonstrate your technical knowledge and problem-solving ability either through exposure to an open-ended industrial problem or through an approved work placement
  6. Reflect on your own learning and that of your peers.

Overview of Learning Activities

You will participate in a group project or industry placement under the supervision of the teaching team and eventually under the supervision of a representative from a partner institution. Regular interactions with your supervisor(s) will allow you to obtain technical advice, to construct a milestones plan and get feedback on your progress. You will respond to real world problems using the knowledge and competencies acquired during your program to propose solutions. This is a unique opportunity to learn how to work in teams. You will present your work through a report, a poster and an oral presentation.

Overview of Learning Resources

Canvas will be used to give access to general supporting material (readings, videos, web link) and to discussion forums. The library, on-line resources and/or specific material given by the teaching team will provide you additional information necessary to the completion of your project or task.

For each specific subject you might find additional material at and

Overview of Assessment

This course has no hurdle requirements. 

Assessment Tasks: 

Problem-solving micro-credentials 
You are requested to complete two micro-creds:

Weighting 15% 
This assessment supports CLOs  2, 3, 4, 5, 6 


Self reflection assessment 
Weighting 10% 
This assessment supports CLOs 4, 6 

Oral Presentation 
Weighting 25% 
This assessment supports CLOs 1, 2, 3, 4, 5, 6

End-of-experience report. 
Weighting 50% 
This assessment supports CLOs 1, 2, 3, 4, 5, 6