School: Business and Law

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  • Unit Title

    Data Driven Managerial Decisions
  • Unit Code

    PRJ6409
  • Year

    2022
  • Enrolment Period

    2
  • Version

    1
  • Credit Points

    20
  • Full Year Unit

    N
  • Mode of Delivery

    Online
  • Unit Coordinator

    Dr Mohammad IRANMANESH

Description

In the contemporary business climate of hyper-competition, volatility and increasingly pervasive technologies, the demand for organisational agility and responsiveness accentuate the degree to which success is linked to managerial decision making: more business decisions need to be made, at greater speed, with superior precision in order to achieve effective business outcomes. This unit examines the different types of business decisions that managers make, embedding these within a variety of processes and contexts. Students will examine the role of data analytics and other technologies in the strategic decision making processes of organisations. Students will have an opportunity to familiarise themselves with the business decision-making processes by exploring and applying some analytical and data visualisation techniques.

Non Standard Timetable Requirements

This unit will be offered in an accelerated mode over seven weeks.

Prerequisite Rule

Master of Project Management (T67) students must have completed a minimum of 180 credit points.

Equivalent Rule

This unit is equivalent to MAN6777.

Learning Outcomes

On completion of this unit students should be able to:

  1. Critically analyse and evaluate situations using decision making-models and techniques to improve the quality of decision-making.
  2. Critically analyse the role of data analysis and technology in business and managerial decision-making.
  3. Plan, implement and apply complementary data analysis and decision-making technologies in organisational activities.
  4. Critically evaluate success factors in adopting data analytics and other decision-making technologies in various business situations.

Unit Content

  1. Creating solutions for structured, semi-structured and unstructured business decisions. Role of information systems in decision-making.
  2. Social media crowdsourcing and customer involvement in decision-making.
  3. Enterprise 2.0 - collaborative systems for decision making.
  4. Types of decision and decision making, distortions, criteria for assessing decision-making approaches.
  5. Business value of managerial decision making. Embedding data analytics into business processes.
  6. Introduction to data analytical tools (such as Power BI).
  7. Application of data analytics and technologies in organisational decision-making activities.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

ONLINE
TypeDescriptionValue
PresentationRecorded presentation video20%
Case StudyProject management case study40%
AssignmentProject management assignment40%

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Integrity

Integrity is a core value at Edith Cowan University, and it is expected that ECU students complete their assessment tasks honestly and with acknowledgement of other people's work. This means that assessment tasks must be completed individually (unless it is an authorised group assessment task) and any sources used must be referenced.

Breaches of academic integrity can include:

Plagiarism

Copying the words, ideas or creative works of other people, without referencing in accordance with stated University requirements. Students need to seek approval from the Unit Coordinator within the first week of study if they intend to use some of their previous work in an assessment task (self-plagiarism).

Unauthorised collaboration (collusion)

Working with other students and submitting the same or substantially similar work or portions of work when an individual submission was required. This includes students knowingly providing others with copies of their own work to use in the same or similar assessment task(s).

Contract cheating

Organising a friend, a family member, another student or an external person or organisation (e.g. through an online website) to complete or substantially edit or refine part or all of an assessment task(s) on their behalf.

Cheating in an exam

Using or having access to unauthorised materials in an exam or test.

Serious outcomes may be imposed if a student is found to have committed one of these breaches, up to and including expulsion from the University for repeated or serious acts.

ECU's policies and more information about academic integrity can be found on the student academic integrity website.

All commencing ECU students are required to complete the Academic Integrity Module.

Assessment Extension

In some circumstances, Students may apply to their Unit Coordinator to extend the due date of their Assessment Task(s) in accordance with ECU's Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000001386.

Special Consideration

Students may apply for Special Consideration in respect of a final unit grade, where their achievement was affected by Exceptional Circumstances as set out in the Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000003318.

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