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MIS771 - Descriptive Analytics and Visualisation

Year:

2020 unit information

Important Update:

Classes and seminars in Trimester 2, 2020 will be online.

Last updated: 2 June 2020

Enrolment modes:Trimester 1: Burwood (Melbourne), Cloud (online)
Trimester 2: Burwood (Melbourne), Cloud (online)
Credit point(s):1
Previously coded as:

MSQ791

EFTSL value:0.125
Assumed Knowledge:

The unit assumes students have already completed foundational study in statistics at undergraduate level and have some familiarity with basic statistical concepts and inferential techniques. In particular, understanding of descriptive statistics and structure of probability is necessary.

Unit Chair:Trimester 1: Dilal Saundage
Trimester 2: Lasitha Dharmasena
Prerequisite:

MIS770 or MIS770A* for M722, M751, M761, M661, M755 and S777 students ONLY

Corequisite:Nil
Incompatible with: Nil
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:

1 x 2 hour class and 1 x 1 hour laboratory per week

Scheduled learning activities - cloud:11 x 2 hour class (livestreamed with recordings provided) + 11 x 1 hour online seminar/workshop

Note:

*Students who are either enrolled in or have completed MIS770A - please contact a student adviser buslaw@deakin.edu.au

Content

This unit focuses on the techniques and approaches to analysing business data to support decision making. It covers exploratory data analysis, visualisation of data and evidence based decision making. The unit aims to give students a broad understanding of statistical approaches used to support business decisions, their limitations, typical application areas, managerial reporting of statistical results and incorporating insights into the business decision-making process. Extensive use is made of software to develop data visualisation and analysis skills and to enhance the appreciation of various techniques studied. The unit assumes students have already completed foundational study in statistics at undergraduate level and have some familiarity with basic statistical concepts and inferential techniques. In particular, understanding of descriptive statistics and structure of probability is necessary.

 

These are the Learning Outcomes (ULO) for this Unit
At the completion of this Unit, successful students can:

Deakin Graduate Learning Outcomes
ULO1

Apply quantitative reasoning skills to solve complex problems.

GLO1: Discipline-specific knowledge and capabilities
GLO5: Problem-solving
ULO2

Plan, monitor, and evaluate own learning as a data analyst

GLO6: Self-management
ULO3

Deduce clear and unambiguous solutions in a form that they useful for decision making and research purposes and for communication to the wider public.

GLO1: Discipline-specific knowledge and capabilities
GLO2: Communication

 

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) -Data Analysis and associated report  2500 words 30% Information not yet available
Assessment 2 (Individual) -Data Analysis and associated report  2500 words 35% Information not yet available
Assessment 3 (Individual) - Data Visualization Presentation and Report 2500 words 35% Information not yet available

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.

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: MIS771 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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