Unit search

Search results

MIS715 - Artificial Intelligence for Accounting and Finance

Year:

2022 unit information

Enrolment modes:Trimester 1: Online
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 1: Dilal Saundage
Prerequisite:

Nil

Corequisite:Nil
Typical study commitment:

Students will on average spend 150 hours over the trimester undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus:

11 x 1.5 hour class + 11 x 1.5 hour seminar

Scheduled learning activities - cloud:

11 x 1.5 hour class (recordings provided) + 11 x 1.5 hour online seminar

Content

Artificial Intelligence (AI) is transforming all business landscapes. The Accounting and Finance sector is well-placed to capitalise on the opportunities AI solutions have to offer because of their heavy reliance on data.  This unit aims to develop the skills and knowledge students need to explore, critically evaluate and propose Artificial Intelligence (AI) solutions to Accounting and Finance business problems. This unit consists of three modules. Module 1 explores how Robotic Process Automation (RPA), Cognitive Automation (Machine Learning), Computer Vision, and Natural Language Processing assist in automating and augmenting human decision-making in Accounting and Finance. Module 2 introduces a risk-based approach to critically evaluate different AI ethics and policy frameworks. Module-3 presents a system thinking approach to developing AI solutions for Accounting and Finance business problems.

ULO These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: Deakin Graduate Learning Outcomes
ULO1

Evaluate AI applications and the impact of existing artificial intelligence solutions on accounting and finance business functions

GLO1: Discipline-specific knowledge and capabilities

ULO2

Identify the needs of stakeholders in complex accounting and finance business contexts and recommend artificial intelligence solutions that meet those needs

GLO5: Problem solving

ULO3

Argue, orally and in writing, for the use of artificial intelligence solutions to non-technical business decision-makers. 

GLO2: Communication

These Unit Learning Outcomes are applicable for all teaching periods throughout the year.

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)		 Indicative due week
Assessment 1: (Individual) Report (Business)

1500 words

30%

 Week 5

Assessment 2: (Individual) Case Study

Part A: Report
Part B: Video Presentation

Part A: 1500 words
Part B: 5 minutes

Part A: 25%
Part B: 15%

 Week 8
Assessment 3: (Group of 3) Report (Business) 4500 words 30% Week 12

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Hurdle requirement

Nil

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: MIS715 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

 

Unit Fee Information

Click on the fee link below which describes you: