ENG1142 AI for business and healthcare
Faculty of Engineering
ENG1142 AI for business and healthcare is a level 1, 6-credit-point, undergraduate unit from the Faculty of Engineering. It isn't offered in 2026. It has no prerequisites.
- Credit points
- 6
- Offered in 2026
- Not offered
- Assessment
- No exam
- 4 tasks
- Workload
- 144 hours
- per semester
This is the 2026 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ENG1142
Prohibitions
You can't enrol if you have passed any of these.
After ENG1142
No unit lists ENG1142 as a prerequisite in the 2026 handbook.
Enrolment rules
You must be enrol in one of the following courses codes to enrol in this unit: B2000, B2001, B2007, B2029, B2031, B2033, B2034, B2036, B2042, B2052, M2001, M2003, M2012, M2014, M2016, M3701, M3702, M3706, A2000, L3001, S2000.
This unit is not available to students enrolled in the following courses: B2049, B2051, B2050 and all courses owned by the Faculty of Engineering
Overview
In this unit, we explore the transformative power of Artificial Intelligence (AI) across the healthcare and business landscapes, combining foundational knowledge with practical applications.
In healthcare, you will learn how AI is revolutionising patient care, from disease diagnosis to public health management. We will cover AI techniques for predictive modelling, clinical decision-making, patient monitoring and precision medicine while focusing on ethical challenges such as patient privacy, algorithmic bias and health equity. This ensures your approach to AI in healthcare is responsible, safe and in line with industry standards.
In the business and commerce sectors, you will develop a strategic perspective on using AI to tackle real-world challenges in marketing, finance, management and more. You will explore how to apply AI to gain insights into customer behaviour and improve data-driven decision-making. Additionally, you will gain hands-on experience with AI tools that enhance operational efficiency, drive digital transformation and promote ethical data governance.
By examining AI in healthcare and business, this unit equips you to drive innovation, adapt to rapidly evolving industries and make impactful, ethical decisions with AI.
Offerings in 2026
The 2026 handbook lists no offerings for ENG1142.
Assessment
- Engagement quizzesQuiz / Test10%
- Assignment 1 - Week 430%
- Assignment 2 - Week 830%
- Assignment 3 - Week 1230%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Demonstrate knowledge of the foundational principles of Artificial Intelligence (AI), Machine Learning (ML) and data analysis by identifying their applications and assessing their impact in healthcare and business contexts.
- 2
Apply AI concepts to improve decision-making, efficiency and problem-solving by designing practical implementation strategies in healthcare and business.
- 3
Evaluate ethical, equity, privacy and safety considerations for responsible and fair AI use in diverse real-world scenarios.
- 4
Interpret AI model outputs for accuracy, reliability and contextual relevance to support informed decision-making in healthcare and business.
- 5
Analyse the real-world challenges in AI adoption and identify solutions to address these barriers effectively.
- 6
Apply large language models, natural language processing and prompt engineering techniques to optimise text-based and analytical tasks in healthcare and business.
Workload and teaching
- Teaching approachProblem-based learning
- Teaching approachCase-based teaching
- Teaching approachActive learning
- Teaching approachResearch activities
- Teaching approachSimulation or virtual practice
The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.
Research and tackle real-world AI challenges, applying theoretical concepts for practical solutions.
Apply AI knowledge to real-world scenarios through case studies, enhancing critical thinking and decision-making skills.
Engage in interactive activities to acquire AI knowledge and skills and practical competencies through discussions and analysis.
Conduct structured research on AI methodologies, assessing their relevance and building data-driven decision-making skills.
Participate in virtual simulations to practice AI model development, analysis and decision-making, preparing for real-world applications.
Learning resources
Required resources
- Moodle: Learning resources, including required and recommended readings and unit materials, are available via Moodle.
- Readings: Required readings for this unit will be provided in the readings list and lecture notes.
Recommended resources
A scientific calculator may be required for practical aspects of the unit.
Technology resources
- BYOD: This unit requires access to a laptop.
- Specialist software: The unit may use specific software applications. Instructions will be given to you on how to access and install relevant software.
Common questions
What are the prerequisites for ENG1142?
ENG1142 has no prerequisites, but enrolment rules apply.
When is ENG1142 offered?
ENG1142 has no offerings listed in the 2026 handbook.
How much work is ENG1142?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ENG1142 have an exam?
No. ENG1142 has 4 assessment tasks and no exam.