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James Cook University Subject Handbook - 2024

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

BX3032 - Advanced Business Modelling

Credit points:03
Year:2024
Student Contribution Band:Band 4
Prerequisites:((BX2016 OR BU2006 OR CO2815 OR CO3105) AND (CO2611 OR BU2004 OR BX2014 )) OR BX3025 OR EC2100
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.

Subject Description

    This subject addresses advanced concepts in business modelling to enhance decision making in organisational contexts. 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

  • 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
  • demonstrate critical knowledge of the theoretical and empirical literature on business modelling

Subject Assessment

  • Written > Test/Quiz 1 - (20%) - Individual
  • Project Report - (45%) - Group
  • Written > Project report - (35%) - 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.

Inadmissible Subject Combinations:  CO3815

Availabilities

JCU Singapore, Study Period 51, Internal

Census date:Thursday, 07 Mar 2024
Study Period Dates:Thursday, 15 Feb 2024 to Friday, 26 Apr 2024
Coordinator(s):
Assoc. Professor Huiping Zhang
Lecturer(s):
DR Thanh Nguyen
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, Trimester 3, Internal

Census date:Thursday, 10 Oct 2024
Study Period Dates:Monday, 16 Sep 2024 to Saturday, 14 Dec 2024
Coordinator(s):
Assoc. Professor Huiping Zhang
Lecturer(s):
DR Thanh Nguyen
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 1, External

Census date:Thursday, 22 Feb 2024
Study Period Dates:Monday, 29 Jan 2024 to Saturday, 27 Apr 2024
Coordinator(s):
Assoc. Professor Monica Jurin
Lecturer(s):
Assoc. Professor Monica Jurin
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 1, Internal

Census date:Thursday, 22 Feb 2024
Study Period Dates:Monday, 29 Jan 2024 to Saturday, 27 Apr 2024
Coordinator(s):
Assoc. Professor Monica Jurin
Lecturer(s):
Assoc. Professor Monica Jurin
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 30 Hours - Seminars - 3 hours per week (face-to-face)
  • 10 Hours - Online activity - Recordings, online activities and self-directed learning