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James Cook University Subject Handbook - 2023

For subject information from 2025 and onwards, please visit the new JCU Course and Subject Handbook website.

CO5124 - Data Analysis and Decision Modelling

Credit points:03
Year:2023
Student Contribution Band:Band 1
Administered by:College of Business, Law & Governance

Subject Description

    Businesses typically collect large volumes of data with relative ease. However data are often meaningless until they are analysed for trends, patterns and relationships and then become useful information. This subject is designed to provide an integrated knowledge for understanding and managing information resources, building basic business intelligent system, interpreting business statistics, and developing practical decision models. It will equip students with decision-making tools and illustrate their applications. Acting on information to develop solutions and support decision-making is a key business skill.

Learning Outcomes

  • explain the importance of information as an organisational resource and to develop an appreciation for issues in managing data/information/knowledge
  • apply graphical and numerical tools for organising, analysing, interpreting, and presenting data
  • integrate the knowledge of Microsoft Excel and other application softwares with the knowledge of accounting and finance
  • design, build and test computer based models for planning, decision making and control of business problems, interpret model results, and make recommendations to stakeholders

Subject Assessment

  • Written > Business plan - (40%) - Individual
  • Written > Case study analysis - (40%) - Individual
  • Written > Project plan - (20%) - Individual

Note that minor variations might occur due to the continuous subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.

Assumed Knowledge:  Capability with Excel or similar spreadsheet package

Inadmissible Subject Combinations:  EC5203 CO5111 LB5002 CO5724

Availabilities

Cairns Nguma-bada, Trimester 2, Internal

Census date:Thursday, 22 Jun 2023
Study Period Dates:Monday, 29 May 2023 to Saturday, 26 Aug 2023
Coordinator(s):
DR Singwhat Tee
Lecturer(s):
DR Damien Wallace
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 30 Hours - Seminars
  • 10 Hours - Online activity - Recordings, online activities & self-directed learning

JCU Brisbane, Trimester 1, Internal

Census date:Thursday, 09 Mar 2023
Study Period Dates:Monday, 13 Feb 2023 to Saturday, 13 May 2023
Coordinator(s):
DR Singwhat Tee
Lecturer(s):
MS Kathleen Franco
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures
  • 10 Hours - Tutorials - Synthesising sessions
  • 10 Hours - Online activity - Recordings, online activities & self-directed learning

JCU Brisbane, Trimester 2, Internal

Census date:Thursday, 22 Jun 2023
Study Period Dates:Monday, 29 May 2023 to Saturday, 26 Aug 2023
Lecturer(s):
MS Kathleen Franco
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures
  • 10 Hours - Tutorials - Synthesising sessions
  • 10 Hours - Online activity - Recordings, online activities & self-directed learning

JCU Brisbane, Trimester 3, Internal

Census date:Thursday, 05 Oct 2023
Study Period Dates:Monday, 11 Sep 2023 to Saturday, 09 Dec 2023
Coordinator(s):
DR Singwhat Tee
Lecturer(s):
MS Kathleen Franco
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures
  • 10 Hours - Tutorials - Synthesising sessions
  • 10 Hours - Online activity - Recordings, online activities & self-directed learning

JCU Singapore, Study Period 51, Internal

Census date:Thursday, 06 Apr 2023
Study Period Dates:Monday, 13 Mar 2023 to Friday, 16 Jun 2023
Coordinator(s):
Assoc. Professor Huiping Zhang
Lecturer(s):
DR Daphne Yiu
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 Hours - Tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU

JCU Singapore, Study Period 53, Internal

Census date:Thursday, 30 Nov 2023
Study Period Dates:Monday, 06 Nov 2023 to Saturday, 27 Jan 2024
Coordinator(s):
Assoc. Professor Huiping Zhang
Lecturer(s):
MR SuaKeong Ng
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 Hours - Tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU

Townsville Bebegu Yumba, Trimester 2, External

Census date:Thursday, 22 Jun 2023
Study Period Dates:Monday, 29 May 2023 to Saturday, 26 Aug 2023
Coordinator(s):
DR Singwhat Tee
Lecturer(s):
DR Damien Wallace
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 30 Hours - Online activity - Recordings, online activities and self-directed learning
  • 10 Hours - Online Tutorials - Online Collaborate sessions 1 hour per week
Method of delivery:WWW - LearnJCU

Townsville Bebegu Yumba, Trimester 2, Internal

Census date:Thursday, 22 Jun 2023
Study Period Dates:Monday, 29 May 2023 to Saturday, 26 Aug 2023
Coordinator(s):
DR Singwhat Tee
Lecturer(s):
DR Damien Wallace
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 30 Hours - Seminars
  • 10 Hours - Online activity - Recordings, online activities & self-directed learning