QBUS1040: Foundations of Business Analytics

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QBUS1040: Foundations of Business Analytics

Overview

This unit provides students with the necessary foundations and skills to undertake second year units in business analytics and successfully complete the Business Analytics major. Theoretical models discussed are motivated by real-life business applications and decision problems. The unit provides a grounding in linear algebra (matrix properties) and calculus and applies these methods to regression models with multiple variables. Topics covered include logistic regression, interaction and nonlinear effects. The unit also introduces the key ideas of optimization (particularly for quadratic problems) and shows how optimisation models can be used to make statistical estimates. At the same time as building the understanding of the mathematical foundations needed in business analytics, the unit helps students to build programming skills to solve practical problems from the business area. The unit makes use of modern programming languages such as Python.

Assessment

Details

Type Description Weight Due Length
Supervised exam 
Final exam
Paper-based exam.
45% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3
Assignment Assignment 1
Covers weeks 1-3 and assumed knowledge. #earlyfeedbacktask
10% Week 03
Due date: 16 Aug 2024 at 23:59
Details to be provided on Canvas
Outcomes assessed: LO1
Supervised test 
Mid-semester exam
Paper-based exam.
25% Week 07
Due date: 15 Sep 2024 at 15:40
80 minutes
Outcomes assessed: LO1 LO2
Assignment Assignment 2
Covers weeks 4-8.
10% Week 09
Due date: 23 Sep 2024 at 23:59
Details to be provided on Canvas
Outcomes assessed: LO1
Assignment Assignment 3
Covers weeks 9-13.
10% Week 13
Due date: 01 Nov 2024 at 23:59
Details to be provided on Canvas
Outcomes assessed: LO1 LO2 LO3

Criteria

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school. 

Distinction

75 - 84

Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Credit

65 - 74

Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Pass

50 - 64

Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school. 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Late homework will not be accepted unless special consideration is obtained.

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