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MIS716 - Artificial Intelligence Strategies and Enterprise Applications

Year:

2024 unit information

Enrolment modes:

Trimester 1: Burwood (Melbourne), Online

Trimester 2: Burwood (Melbourne), Online

Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 1: Muller Cheung
Trimester 2: Muller Cheung
Previously:Artificial Intelligence for Business
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.

This will include educator guided online learning activities within the unit site.

Educator-facilitated (scheduled) learning activities - on-campus unit enrolment:

1 x 1.5 hour on-campus (livestreamed) lecture (recordings provided) and 1 x 1.5 hour  on-campus seminar each week

Educator-facilitated (scheduled) learning activities - online unit enrolment:

1 x 1.5 hour class recorded lecture provided and 1 x 1.5 hour online seminar (recordings provided) each week

Content

In this unit, you will learn of AI principles to support cutting edge innovations and develop skills in forming appropriate strategies to support AI implementation. This unit will develop your skills in defining an AI strategy for specific business and industries by evaluating how organisations across industries are using and can use key contemporary AI technologies (e.g., machine learning, deep learning, natural language processing) and AI types (e.g., conversational AI, algorithmic AI, biometric AI, emotion AI, robotic AI). We will learn of ways to address existing challenges related to AI implementation and identify organisational benefits and risks associated with the introduction of AI.

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

Analyse contemporary AI technologies and the organisational benefits, challenges and risks associated with AI adoption.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking

ULO2

Communicate advanced AI solutions capable of solving industry-specific challenges to a variety of stakeholders.

GLO2: Communication

ULO3

Design an effective AI strategy to address organisation-specific needs and risks.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO5: Problem solving

Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week

Assessment 1: (Individual) Report (Business)

1500 words

30%

Week 4

Assessment 2: Business (Report) and Presentation (Group of 3)

Part A: In Class/Online Presentation

Part B: Report (Business) 

Part A: 5 minutes

Part B: 3500 words

Part A: 10%

Part B: 30%

Week 9

Assessment 3: (Individual) Report (Analytical) 

1500 words 

30%

Week 11

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.

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: MIS716 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

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