Course Title: Industrial Applications of Mathematics and Statistics 1

Part A: Course Overview

Course Title: Industrial Applications of Mathematics and Statistics 1

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2196

City Campus

Undergraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

 Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016,
Sem 2 2016

MATH2196

City Campus

Undergraduate

171H School of Science

Face-to-Face

 Sem 2 2017,
Sem 1 2018,
Sem 2 2018,
Summer2019,
Sem 1 2019,
Sem 2 2019,
Sem 1 2020,
Sem 2 2020,
Sem 1 2021,
Sem 2 2021,
Sem 1 2022,
Sem 2 2023,
Sem 2 2024

Course Coordinator: Professor Asha Rao

Course Coordinator Phone: +61399251843

Course Coordinator Email: asha.rao@rmit.edu.au

Course Coordinator Availability: By appointment, by email


Pre-requisite Courses and Assumed Knowledge and Capabilities

Assumed Knowledge 

This is the first of the capstone courses for the Applied Mathematics and Statistics degree and the Mathematics and Statistics double major in the Applied Sciences degree. You are expected to have completed at least 12 courses or be in the final year of your program. The prerequisite capabilities are those from core courses undertaken in the preceding years of your program stream, or evidence of equivalent capabilities.

 


Course Description

You will participate in a simulated Work Integrated Learning experience, applying your mathematical and statistical knowledge and skills to solve real-world problems, and will be assessed in a simulated workplace context.

A wide variety of contemporary industry experts will discuss their carer trajectories, who will speak about their application of mathematics and statistics in their workplace, or the need for mathematical and statistical experts within their industry. 


This course will enable career development and build your capability around information literacy. In particular, this course will enable you to:

  • Apply the knowledge and skills obtained to search for internships and jobs;
  • Interpret and apply mathematical and statistical concepts in a variety of contexts;
  • Develop your verbal and written communication skills, your ability to work in teams, respect timelines, and adhere to professional ethics.

This course prepares you for industry placement or a project with industry, in MATH2197 Industrial Applications in Mathematics and Statistics 2. 


Objectives/Learning Outcomes/Capability Development

This course contributes to the program learning outcomes for the following program(s): 

BP350 - Bachelor of Science

PLO 1 Apply a broad and coherent knowledge of scientific theories, principles, concepts and practice in one or more scientific disciplines.
PLO 2 Analyse and critically examine scientific evidence using methods, technical skills, tools and emerging technologies in a range of scientific activities.
PLO 3 Analyse and apply principles of scientific inquiry and critical evaluation to address real-world scientific challenges and inform evidence based decision making.
PLO 4 Communicate, report and reflect on scientific findings, to diverse audiences utilising a variety of formats employing integrity and culturally safe practices.
PLO 5 Work independently, with agility, safety, and accountability for own learning and professional future.
PLO 6 Collaborate and contribute within diverse, multi-disciplinary teams, with commitment to diversity, equity and globally inclusive perspectives and practices including First Nations knowledges and input.

BP083P23 - Bachelor of Applied Mathematics and Statistics

PLO 3 Formulate and model real world problems using principles of mathematical and statistical inquiry to inform evidence-based decision making.
PLO 4 Critically evaluate and communicate technical and non- technical mathematical and statistical knowledge to diverse audiences utilising a variety of formats employing culturally safe practices.
PLO 5 Work ethically and independently, with integrity and accountability to develop professional agility for future careers.
PLO 6 Collaborate and contribute within diverse, multi-disciplinary teams, with commitment to diversity, equity and globally inclusive perspectives and practices including First Nations knowledges.

BP245 - Bachelor of Science (Statistics)
BP083P20 - Bachelor of Applied Mathematics and Statistics
BP083P10 - Bachelor of Applied Mathematics and Statistics

PLO 1 Personal and Professional Awareness
PLO 2 Knowledge and Technical Competence
PLO 3 Problem Solving
PLO 4 Teamwork and Project Management
PLO 5 Communication
PLO 6 Information Literacy
PLO 7 Ethics

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


Upon successful completion of this course you should be able to:

 

  1. Apply technical knowledge by accessing data and information, evaluating its quality through practical applications to solve real-world problems. 
  2. Demonstrate reflective learning through professional experience and collaboration including describing the impact and influence of ethical considerations in the practice of mathematics and statistics. 
  3. Report project findings in both written and oral form, integrating feedback from all relevant stakeholders. 
  4. Apply professional behaviours and practices to a small project team, including understanding the dynamics of a small team, managing your time and scheduling your activities. 
  5. Develop/produce a professional job application tailored to a specific position, demonstrating the ability to evaluate and select relevant skills and experiences for inclusion in a targeted resume and cover letter. 


Overview of Learning Activities

Weekly workshops will build upon your skills in written communication, oral communication, project management, teamwork, and career planning. 

Industry-relevant mathematics and statistics job opportunities will be explored through a mixture of discussion with industry guests, and in-class discussion of published resources. 

As a group you will demonstrate ability to solve real world problems using the knowledge and competencies acquired during your program by proposing solutions to problems in national and international mathematics competitions.


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.

For each specific subject you might find additional material athttp://rmit.libguides.com/mathstats and http://rmit.libguides.com/compsci


Overview of Assessment

Assessment Tasks

Assessment Task 1: Industry Awareness Briefing Notes
Weighting 30%
This assessment task supports CLOs 1, 2 & 3

Assessment Task 2: Preparing for Industry (Quiz)
Weighting 10%
This assessment task supports CLOs 1 & 2

Assessment Task 3: Linking with Industry (Written Assessment)
Weighting 20%
This assessment task supports CLOs 3 & 5

Assessment Task 4: Problem Solving Group Presentation and Peer Review
Weighting 40%
This assessment task supports CLOs 1, 2, 3 & 4

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.