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CO5124 - Data Analysis and Decision Modelling

Credit points: 3
Year: 2022
Student Contribution Band: Band 1
Administered by: College of Business, Law & Governance

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.
Assumed
Knowledge:
Capability with Excel or similar spreadsheet package
Inadmissible
Subject
Combinations:
EC5203 CO5111 LB5002 CO5724

Availabilities

JCU Brisbane, Trimester 1, Internal
Census Date 10-Mar-2022
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours practicals - 9 hours supervised
  • 36 hours workshops
  • assessment and self-directed study

JCU Brisbane, Trimester 2, Internal
Census Date 23-Jun-2022
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours practicals - 9 hours supervised
  • 36 hours workshops
  • assessment and self-directed study

JCU Brisbane, Trimester 3, Internal
Census Date 06-Oct-2022
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours practicals - 9 hours supervised
  • 36 hours workshops
  • assessment and self-directed study

JCU Singapore, Study Period 51, Internal
Census Date 07-Apr-2022
Coordinator: Assoc. Professor Huiping Zhang
Lecturer: Mr Eddie Chng.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 56 hours - Combined Workshops/Seminars; Practicals (9 hours supervised)
  • assessment and self-directed study

JCU Singapore, Study Period 51, Internal
Census Date 07-Apr-2022
Coordinator: Assoc. Professor Huiping Zhang
Lecturer: Mr Eddie Chng.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 56 hours - Combined Workshops/Seminars; Practicals (9 hours supervised)
  • assessment and self-directed study

JCU Singapore, Study Period 53, Internal
Census Date 01-Dec-2022
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 56 hours - Combined Workshops/Seminars; Practicals (9 hours supervised)
  • assessment and self-directed study

Trimester 2, External
Census Date 23-Jun-2022
Coord/Lect: Dr Singwhat Tee.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 0 hours
  • assessment and self-directed study
Method of Delivery: WWW - LearnJCU

Note: 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.