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CO5124 - Data Analysis and Decision Modelling

Credit points: 3
Year: 2020
Student Contribution Band: Band 2
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;
  • Design, build and test computer based models for planning, decision making and control of business problems, Interpret model results, and make recommendations to stakeholders;
  • Able to integrate the knowledge of Microsoft Excel and other application softwares with the knowledge of accounting and finance.

Subject Assessment

  • business analytical report (20%)
  • case study statistical analysis (40%)
  • analytical business report (decision modelling) (40%).
Assumed
Knowledge:
Capability with Excel or similar spreadsheet package
Inadmissible
Subject
Combinations:
EC5203 CO5111 LB5002

Availabilities

Townsville, Intensive, Study Period 5
Census Date 07-May-2020
Face to face teaching 01-May-2020 to 24-May-2020 (6-9pm May 1st; 9-5pm 2-3 May; 6-9pm May 8th; 9-5pm May 9-11; 6-9pm May 22; 9-5pm May 23-24 2020)
Workload expectations:

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

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

External, Study Period 1
Census Date 26-Mar-2020
Workload expectations:

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

  • 0 hours
  • assessment and self-directed study

JCU Singapore, Internal, Study Period 51
Census Date 09-Apr-2020
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
Restrictions: An enrolment quota applies to this offering.

JCU Singapore, Internal, Study Period 52
Census Date 06-Aug-2020
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 Brisbane, Internal, Study Period 21
Census Date 09-Apr-2020
Workload expectations:

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

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

JCU Brisbane, Internal, Study Period 22
Census Date 06-Aug-2020
Workload expectations:

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

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

JCU Brisbane, Internal, Study Period 23
Census Date 03-Dec-2020
Workload expectations:

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

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

JCU Online, External, Study Period 82
Census Date 19-Mar-2020
Workload expectations:

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

  • 65 hours - Online resources including readings, screencasts, embedded quizzing
  • assessment and self-directed study
Method of Delivery: Online - JCU

JCU Online, External, Study Period 86
Census Date 05-Nov-2020
Workload expectations:

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

  • 65 hours - Online resources including readings, screencasts, embedded quizzing
  • assessment and self-directed study
Method of Delivery: Online - JCU

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.