MIS272 - Predictive Analytics

Unit details

Note: You are seeing the 2021 view of this unit information. These details may no longer be current. [Go to the current version]
Year:

2021 unit information

Important Update:

Unit delivery will continue to be provided in line with the most current COVIDSafe health guidelines. This may include a mix of on-campus and online activities. To find out how you are impacted, please check your unit sites for announcements and updates. Unit sites open one week prior to the start of each Trimester/Semester.

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Last updated: 4 June 2021

Enrolment modes:Trimester 2: Burwood (Melbourne), Online
Credit point(s):1
EFTSL value:0.125
Previously coded as:MIS372
Unit Chair:Trimester 2: Rens Scheepers
Prerequisite:

MIS171

Corequisite:Nil
Incompatible with: MIS372, MIS772
Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus:

11 x 2 hour class, 11 x 1 hour seminar

Scheduled learning activities - cloud:11 x 2 hour class (recordings provided) + 11 x 1 hour seminar

Content

The ‘information age’ has combined with the widespread adoption of digital technology to turn information into a key business asset.  Businesses and governments now have access to massive volumes of data and require skills and expertise in making sense of this information for strategic decision making. This unit will provide students with the knowledge and skills to build predictive models and use data mining tools in real business scenarios. Students will be given the opportunity to gain hands-on experience with most widely used predictive analytics software tools globally.

ULO These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: Deakin Graduate Learning Outcomes
ULO1

Understand and apply key statistical theories and data mining concepts.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
ULO2

Understand and apply predictive analytics techniques in real-world situations.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO5: Problem solving
ULO3

Apply an integrated understanding of current techniques and trends in predictive analytics to the business environment.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking

These Unit Learning Outcomes are applicable for all teaching periods throughout the year

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)		 Indicative due week 
Assessment 1: (Individual) - Written report 1500 words 20% Week 7
Assessment 2: (Group of 2-3 students) Written report 3000 words 40% Week 10
Examination: - closed book 2 hours 40% Exam period

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Hurdle requirement

Hurdle requirement: achieve at least 50% of marks available on the examination.

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: MIS272 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

Unit Fee Information

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