BEX3202 AI applications in business
Faculty of Business and Economics
BEX3202 AI applications in business is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics. It isn't offered in 2025. It has no prerequisites.
- Credit points
- 6
- Offered in 2025
- Not offered
- Assessment
- No exam
- 1 task
- Workload
- 144 hours
- per semester
This is the 2025 handbook entry. See the 2027 entry.
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Requisites
Before BEX3202
No prerequisites or corequisites besides the enrolment rules below.
After BEX3202
No unit lists BEX3202 as a prerequisite in the 2025 handbook.
Enrolment rules
You must be enrolled in B2049, B2050 or B2051 and you must have completed 48 credit points of study to undertake this unit.
To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 11 level. You may have satisfied this by completing relevant prerequisite unit/s, or you have covered relevant topics in your final years of secondary study. You should self-assess your maths competency prior to enrolling in this unit.
Overview
This unit delves into the core principles of Artificial Intelligence (AI), its potential business applications, and AI's decision-making capabilities within the context of digital business. It also investigates the legal and ethical implications related to deploying this technology in a digital business setting. You will acquire a comprehensive understanding of emerging AI technologies, their strengths, and limitations in the digital business landscape. Additionally, you will develop the knowledge, skills, and attitudes necessary to navigate the challenges and opportunities presented by AI-driven businesses.
Offerings in 2025
The 2025 handbook lists no offerings for BEX3202.
Assessment
- Within semester assessment100%
Learning outcomes
When you finish this unit, you should be able to:
- 1
demonstrate knowledge of AI and algorithm fundamentals relevant to business scenarios
- 2
articulate AI concepts and technologies to both technical and non-technical stakeholders, fostering collaboration through mutual comprehension
- 3
develop strategies to mitigate associated risks in response to the limitations of AI
- 4
analyse how AI relates to data collection practices, showcasing how data collection, privacy and AI regulations influence AI's role in business
- 5
evaluate issues of bias, transparency, traceability, fairness, and ethics in AI development, promoting ethical use of AI in business practices
- 6
create AI-leveraged solutions or processes for real-world business challenges, assessing its impact on business decision-making and strategic planning.
Workload and teaching
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
Common questions
What are the prerequisites for BEX3202?
BEX3202 has no prerequisites, but enrolment rules apply.
When is BEX3202 offered?
BEX3202 has no offerings listed in the 2025 handbook.
How much work is BEX3202?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does BEX3202 have an exam?
No. BEX3202 has 1 assessment task and no exam.