ETC2470 - Applied business modelling - 2018

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Business and Economics

Organisational Unit

Department of Econometrics and Business Statistics

Chief examiner(s)

Associate Professor Ralph Snyder

Coordinator(s)

Associate Professor Ralph Snyder

Not offered in 2018

Prerequisites

ETC1000

Prohibitions

ETC3480

Synopsis

Computer business models in decision making are the primary focus of this unit. Their potential application in controlling operations and supply chains is explored. Mathematical and statistical methods needed in the construction of business models are examined. An introduction is provided to decision making under risk, Monte Carlo simulation, inventory control, replacement theory, multi-level production systems and supply chains. Computing is undertaken with Microsoft Excel. Training is provided in the programming language Visual Basic for Applications to extend the capacities of Microsoft Excel.

Outcomes

The learning goals associated with this unit are to:

  1. provide an understanding of the quantitative way of thinking about business problems
  2. enhance analytical skills for problem solving
  3. increase computing skills for business modelling with spreadsheets
  4. provide tools for decision making under risk
  5. examine the quantitative dimensions of logistics and supply chain management.

Assessment

Within semester assessment: 30% + Examination: 70%

Workload requirements

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

See also Unit timetable information