MIS716 - Artificial Intelligence Strategies and Enterprise Applications
Unit details
| 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: Toomas Tamm 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 |
| 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 |
| 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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