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BX3032 - Advanced Business Modelling

Credit points: 3
Year: 2019
Student Contribution Band: Band 3
Administered by: College of Business, Law & Governance

Subject to the prescribed prerequisite subjects having been completed, there are no restrictions on enrolment in this subject.

This subject addresses advanced concepts in business modelling to enhance decision making in organisational contexts. Students will be required to develop further the knowledge and skills gained in the subject, BX2016 (Business Modelling). Topics will include development of advanced software-based business models and the interpretation and evaluation of model results both from a user and a builder's point of view. Excel will be the primary application software used to build these decision models. The focus will be on solving advanced decision problems requiring prior knowledge of the fundamentals for accounting and finance.

Learning Outcomes

  • demonstrate critical knowledge of the theoretical and empirical literature on business modelling;
  • design, build and test computer-based models for planning, decision making and control of business problems;
  • interpret model results and make recommendations to stakeholders;
  • integrate the knowledge of MS excel and other application software with the knowledge of accounting and finance;
  • structure and formulate solutions to complex business problems.
Prerequisites: ((BX2016 OR BU2006 OR CO2815 OR CO3105) AND (CO2611 OR BU2004 OR BX2014 )) OR BX3025 OR EC2100
Inadmissible
Subject
Combinations:
CO3815

Availabilities

Townsville, Internal, Study Period 1
Census Date 28-Mar-2019
Coordinator: Dr Ray McNamara
Lecturers: Mr Ian Burnett, Dr Ray McNamara.
Workload expectations:

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

  • 50 hours - Combined Lectures; Tutorials/Workshops/ Practicals; Lecturer directed activities.
  • assessment and self-directed study
Assessment: online test 1 (20%); assignments (60%); online test 2 (20%).

External, Study Period 1
Census Date 28-Mar-2019
Coordinator: Dr Ray McNamara
Lecturers: Mr Ian Burnett, Dr Ray McNamara.
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
Assessment: online test 1 (20%); assignments (60%); online test 2 (20%).

JCU Singapore, Internal, Study Period 52
Census Date 08-Aug-2019
Coordinator: Dr Ray McNamara
Lecturer: Dr Thanh Nguyen.
Workload expectations:

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

  • 50 hours - Combined Lectures; Tutorials/Workshops/ Practicals; Lecturer directed activities.
  • assessment and self-directed study
Assessment: online test 1 (20%); assignments (60%); online test 2 (20%).

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.