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Artificial Intelligence in Organisations (MGMT90267)
Graduate courseworkPoints: 12.5Online
From 2023 most subjects will be taught on campus only with flexible options limited to a select number of postgraduate programs and individual subjects.
To learn more, visit COVID-19 course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Term 2
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Contact hours: https://unimelb.edu.au/professional-development/contact-us
A/Prof Michal Carrington michal.carrington@unimelb.edu.au
Dr Zahra Hosseinifard zahra.h@unimelb.edu.au
Term 3
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Contact hours: https://unimelb.edu.au/professional-development/contact-us
A/Prof Michal Carrington michal.carrington@unimelb.edu.au
Dr Zahra Hosseinifard zahra.h@unimelb.edu.au
Overview
| Availability | Term 2 - Online Term 3 - Online |
|---|---|
| Fees | Look up fees |
The expectations on contemporary managers to make agile decisions in complex digitised environments are increasing. This subject focuses on the development of managerial capabilities to engage appropriate decision-making models and employ new-generation analytic tools that best-fit the scenario as it unfolds. This subject provides both conceptual frameworks and practical illustrations of quantitative decision-making techniques including decision trees and optimisation to tackle business problems. Students will be shown how to use these quantitative approaches to analyse business problems and, based on these analyses, make effective decisions. These frameworks can be applied to various decisions faced by organisations, with applications in different areas such as operations, marketing, financial and nursing management.
Managers must also decide if and how to employ Artificial Intelligence (AI) within their workplace to create value for the organisation. This subject explores the function, advantages and limitations of AI and machine learning, and how these tools can optimise decision making in complex environments. The subject focuses on: (1) the foundations of AI—inputs, processes, and outputs; (2) AI in action in various contexts to evaluate the opportunities and challenges; and (3) the critical analysis of AI to illustrate contrasting scenarios in which the adoption of AI creates value and destroys value for the organisation.
Intended learning outcomes
On completion of this subject, students should be able to:
- Analyse and apply the function and processes of Artificial Intelligence (AI) to aid decision making in complex business environments.
- Critically evaluate the opportunities, limitations, and ethicalities of adopting AI to create value for the organisation.
- Analyse and apply the fundamentals of decision making for business problems and application of quantitative approaches to management.
- Research and apply machine learning techniques such as K-Means, Classification Tree, Logistic Regression and Artificial Neural Network to various business problems.
Generic skills
- Become skilled at analysing business decision problems, building analytics models and solving these to gain managerial insights
- Critical thinking in relation to the effectiveness of solutions and managerial decision analysis
- Application of theory to practice in the field of management science
Last updated: 12 November 2022
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 12 November 2022
Assessment
| Description | Timing | Percentage |
|---|---|---|
Written activity
| Week 2 | 10% |
Written activity
| Week 4 | 10% |
Report
| Week 5 | 30% |
Quiz
| Week 7 | 20% |
Report
| Week 9 | 30% |
Last updated: 12 November 2022
Dates & times
- Term 2 - Online
Coordinators Michal Carrington and Zahra Hosseinifard Mode of delivery Online Contact hours 24 hours of online contact; 56 hours of case study analysis; 20 hours of online forum discussion activity; 70 hours of online activities, participation in simulations, and other management related analyses. Total time commitment 170 hours Pre teaching start date 25 April 2022 Pre teaching requirements During the pre-teaching period, students should familiarise themselves with the learning platform and the subject requirements. Teaching period 2 May 2022 to 26 June 2022 Last self-enrol date 26 April 2022 Census date 20 May 2022 Last date to withdraw without fail 10 June 2022 Assessment period ends 3 July 2022 Term 2 contact information
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Contact hours: https://unimelb.edu.au/professional-development/contact-us
A/Prof Michal Carrington michal.carrington@unimelb.edu.au
Dr Zahra Hosseinifard zahra.h@unimelb.edu.au
- Term 3 - Online
Coordinators Zahra Hosseinifard and Michal Carrington Mode of delivery Online Contact hours 24 hours of online contact; 56 hours of case study analysis; 20 hours of online forum discussion activity; 70 hours of online activities, participation in simulations, and other management related analyses. Total time commitment 170 hours Pre teaching start date 18 July 2022 Pre teaching requirements During the pre-teaching period, students should familiarise themselves with the learning platform and the subject requirements. Teaching period 25 July 2022 to 18 September 2022 Last self-enrol date 19 July 2022 Census date 12 August 2022 Last date to withdraw without fail 2 September 2022 Assessment period ends 25 September 2022 Term 3 contact information
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Contact hours: https://unimelb.edu.au/professional-development/contact-us
A/Prof Michal Carrington michal.carrington@unimelb.edu.au
Dr Zahra Hosseinifard zahra.h@unimelb.edu.au
Last updated: 12 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 12 November 2022