Part A: Course Overview
Course Title: Enterprise AI and Business Analytics
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
ISYS3468 |
City Campus |
Undergraduate |
665H Accounting, Information Systems and Supply Chain |
Face-to-Face |
Sem 1 2025 |
Course Coordinator: Dr Ariel Kam Ha Lui
Course Coordinator Phone: +61 3 9925 6294
Course Coordinator Email: kam.ha.lui@rmit.edu.au
Course Coordinator Location: City Campus
Course Coordinator Availability: Appointment by email
Pre-requisite Courses and Assumed Knowledge and Capabilities
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Course Description
Enterprise Artificial Intelligence (AI) plays a pivotal role in reshaping decision-making and enhancing competitive advantage across organizations. This course aims to equip you with the knowledge and skills needed to leverage AI in the realm of business analytics for solving real-world business problems and driving data-driven decision-making. You will gain hands-on experience with AI tools and techniques, acquiring valuable skills for navigating a competitive business landscape. This course offers you a unique opportunity to assess, evaluate, and harness AI technologies, enabling data-driven decision-making, optimizing business processes, and fostering innovation within the enterprise.
Objectives/Learning Outcomes/Capability Development
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On successful completion of this course, you will be able to:
CLO 1: Apply the fundamental concepts, principles, and techniques of AI within the context of business analytics.
CLO 2: Assess, evaluate, and effectively harness AI technologies to enhance an organization's products, services, and operational efficiency.
CLO 3: Work collaboratively with others to develop AI-driven solutions that enhance competitive advantage for businesses.
CLO 4: Demonstrate critical thinking, problem solving, and be able to communicate effectively as a professional.
Overview of Learning Activities
In this course, you will be encouraged to be an active learner. Your learning will be supported through various in-class and online activities comprising individual and group work. These may include quizzes; assignments; prescribed readings; sourcing, researching and analysing specific information; solving problems, conducting presentations, producing written work and collaborating with peers on set tasks or projects.
Overview of Learning Resources
Various learning resources are available online through MyRMIT Studies/Canvas. The lecture notes and workshop notes are posted on Canvas.
RMIT Library provides extensive resources, services and study spaces. All RMIT students have access to scholarly resources including course related material, books, e-books, journals and databases.
Contact: Ask the Library for assistance and information on Library resources and services: http://www.rmit.edu.au/library.
Study support is available for assistance with assignment preparation, academic writing, information literacy, referencing, maths and study skills.
Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period.
Overview of Assessment
Assessment Task 1: 25%
Linked CLOs: 1, 2, 4
Assessment Task 2: 45% (Group)
Linked CLOs: 1, 2, 3, 4
Assessment Task 3: 30%
Linked CLOs: 1, 2, 4
Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and individual consultation.