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

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2197

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

MATH2197

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 2022,
Sem 1 2023,
Sem 1 2024

Flexible Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2197

City Campus

Undergraduate

171H School of Science

Face-to-Face

UGRDFlex21 (XXXX)

Course Coordinator: Geetika Verma

Course Coordinator Phone: +61 3 9925 5963

Course Coordinator Email: geetika.verma@rmit.edu.au

Course Coordinator Availability: By appointment, by email


Pre-requisite Courses and Assumed Knowledge and Capabilities

Assumed Knowledge 

This is the second of two capstone courses and you are expected to be in the final year of your program. The prerequisite capabilities are completion of MATH2196 (the first capstone course) and those from core courses undertaken in the preceding years of your program stream, or evidence of equivalent 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 course 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, whilst respecting timelines and adhering 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.  

Additionally, infrequent complementary WIL activities will be scheduled for all students, for example, attending a seminar of other activity that presents an opportunity to apply for jobs in an industry not covered in MATH2196. You are expected to attend these activities during the semester of your enrolment.  

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.  

Where relevant, the activity will include relations with an external partner and a coordinator from RMIT. All external-to-RMIT WIL projects/placements/internships with external partners will require 3-way agreements to be signed between RMIT, the Industry partner and the student(s) to be counted towards this course. 


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for BP083 Bachelor of Science (Applied Mathematics and Statistics) and BP245 Bachelor of Science (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.

Problem-solving

  • 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.

Communication

  • 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.

Ethics

  • 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.
  2. Present information in both written and oral form and integrate feedback from all relevant stakeholders.
  3. Access data and information and evaluate its quality through practical application.
  4. Appreciate the impact of ethical considerations in the practice of mathematics and statistics.
  5. Demonstrate your technical knowledge and problem-solving ability.
  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 and an oral presentation.

You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course


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: Micro-credentials Self-Reflection
Weighting 10% 
This assessment supports CLOs  2, 3, 4, 5, 6 

Assessment Task 2:  Industry Readiness
Weighting 20% 
This assessment supports CLOs 2, 4, 6 

Assessment Task 3: Oral Presentation of Placement/Project + Peer Review 
Weighting 20% 
This assessment supports CLOs 1, 2, 3, 4, 5, 6

Assessment Task 4: End-of-experience assessment 
Weighting 50% 
This assessment supports CLOs 1, 2, 3, 4, 5, 6 

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.