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Dr Zahra Hosseinifard firstname.lastname@example.org
Dr Michal Carrington email@example.com
Term 3 - Online
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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 decision making 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 digitised environments. Key topics include: (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:
- Understand the fundamentals of decision making for business problems and application of quantitative approaches to management.
- Formulate various business optimisation problems as mathematical models, such as linear programming and integer programming and decision tree.
- Understand the function and processes of Artificial Intelligence (AI) to aid decision making in complex business environments.
- Critically evaluate the opportunities and limitations of adopting AI to create value for the organisation.
- 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: 3 November 2022