COMMGMT 7031 - Artificial Intelligence for Business
North Terrace Campus - Trimester 3 - 2024
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General Course Information
Course Details
Course Code COMMGMT 7031 Course Artificial Intelligence for Business Coordinating Unit Management Term Trimester 3 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact 3 hours per session (Up to 18 hours per week for intensive mode) Available for Study Abroad and Exchange Course Staff
No information currently available.
Course Timetable
The full timetable of all activities for this course can be accessed from Course Planner.
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Learning Outcomes
Course Learning Outcomes
1. Distinguish the different types of AI and how they are applied in a business context
2. Identify the different types of datasets and data sources and how they can be leveraged to gain strategic advantage with AI
3. Assess an organisation's existing data sources and business processes to identify opportunities to gain strategic advantage using AI
4. Analyse and advise on the viability and practicality of applying AI to a business opportunity
5. Communicate the social, economic and ethical implications of applying AI in real world applicationsUniversity Graduate Attributes
No information currently available.
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Learning & Teaching Activities
Learning & Teaching Modes
No information currently available.
Workload
No information currently available.
Learning Activities Summary
No information currently available.
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Assessment
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
Assessment Task Task Type Weighting CLOs
Assignment 1 – AI Comparative Test Individual 20% 1
Assignment 1 – AI Impact Report Individual 40% 1, 2, 3
Assignment 3 - AI Innovation Pitch Group 20% 2, 3, 4
Participation & Reflection Individual 10% 1, 2, 3, 4Assessment Detail
Assignment 1 – AI Comparative Analysis Test - Individual (20%)
The student will compare and contrast different AI tools and analyse practicality of each in a business context, either within their own organisation or in general. 500 word report.
Assignment 2 – AI Impact Report - Individual (40%)
Provide an in-depth assessment of existing business resources and processes to identify opportunities to integrate AI. This assessment will encourage students to take a closer look at the use of AI in a business context and to gain a greater understanding of associated challenges, pros and cons, grounded in a thorough understanding of applying AI technologies in a viable manner.
Assignment 3 - AI Innovation Pitch - Group (30%)
This is designed to demonstrate that students could take a new AI use case/idea to the boardroom of a current or future employer.
As future leaders the students should be able to articulate the impacts and benefits of using AI to solve problems. This assignment will culminate how AI can be applied in a viable and responsible manner.
This assignment is designed to test their understanding of the practical, cultural, and ethical challenges of deploying real world AI, along with their team work in researching and articulating their points.
Participation and Reflection Individual (10%)
Short multiple choice quizzes designed reinforce the key concepts (AI and data types) learnt in sessions 1 and 2.
This will allow students the opportunity to test their understanding and seek further guidance if needed before we progress with more complex topics.Submission
No information currently available.
Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
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Student Feedback
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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