Course Title: Analytics in Industry 1

Part A: Course Overview

Course Title: Analytics in Industry 1

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)

MATH2302

City Campus

Undergraduate

171H School of Science

Face-to-Face

Sem 1 2019,
Sem 1 2020,
Sem 1 2021,
Sem 1 2022

Course Coordinator: Dr. Yan Wang

Course Coordinator Phone: +61 3 9925 2381

Course Coordinator Email: yan.wang@rmit.edu.au

Course Coordinator Location: 15.4.5

Course Coordinator Availability: By appointment, by email


Pre-requisite Courses and Assumed Knowledge and Capabilities

It is assumed that students have gained knowledge and skills in mathematics, statistics, data management or/and business information, from their first three years studies with the Analytics program.


Course Description

This course includes 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. 

The course is about the application of analytics, statistics and operations research in a realworld situation. You will learn how to think about data in a broad context and the requirements of an industrial research project. You will be taught how to improve your verbal and written communication skills, organise the structure of an industrial research problem and learn about professional ethics. 

Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. (This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information web  for more information.) 


Objectives/Learning Outcomes/Capability Development


This course contributes to the following Program Learning Outcomes for BH119 Bachelor of Analytics.

Personal and Professional Awareness

  • the ability to contextualise outputs where data are drawn from diverse and evolving social, political and cultural dimensions.

Knowledge and Technical Competence

  • coherent and advanced knowledge of the underlying principles and concepts in one or more disciplines

Problem Solving

  • cognitive skills to review critically, analyse, consolidate and synthesise knowledge to identify and provide solutions to complex problems with intellectual independence.

Teamwork and Project Management

  • the ability to contribute to professional work settings through effective participation in teams and organisation of project tasks.

Communication

  • communication skills to present clear and coherent exposition of knowledge and ideas to a variety of audiences.

Information Literacy

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

Ethics

  • the ability to reflect on experience and improve your own future practice.


Upon completion of this course you should be able to: 

  1. Solve problems and use research skills, including engaging with unfamiliar problems, and identifying relevant strategies. 
  2. Use analytical skills, including the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of the analysis. 
  3. Work in teams through interacting with your peers,  distinguishing  between ethical collaboration, which is strongly encouraged, and plagiarism, which is prohibited. 
  4.  Present project updates and a final report to a variety of audiences using high level oral and written skills. 
  5. Manage time effectively, with both team-based and individually assembled material to be submitted throughout the semester. You will learn to manage your time, balance competing commitments and meet deadlines. 





Overview of Learning Activities

You will participate in a group project or industry placement under the supervision of both the academic staff and the supervisor of a partner institution representative (for work placement). You are required to formally define the project requirements and directions based on the available information; conduct a literature review on relevant topics; solve real problems applying knowledge gained from previous studies; have meetings with your supervisors to receive ongoing feedback; presenting progress reports and project outcomes to industry contacts and other students; and finally write a detailed report of your research project and submit it for review. 


Overview of Learning Resources

Canvas will be used to give access to general supporting materials (project/placement, readings, web link) and to discussion forums.

RMIT library resources including online access resources will be critical especially for the early stages of the project.

You will receive ongoing feedback from industry, other students and your supervisor(s) throughout your project.


Overview of Assessment

Assessment Task 1:  Project Proposal  

Weighting 25%

This assessment task supports CLOs 1 to 5. 


Assessment Task 2: Project Process Presentation 

Weighting 15% 

This assessment task supports CLOs 3 and 4. 


Assessment Task 3: Final Presentation 

Weighting 15% 

This assessment task supports CLOs 3 and 4. 


Assessment Task 4: Final Report 

Weighting 45% 

This assessment task supports CLOs 1 to 5.