MIS373 - Artificial Intelligence for Business
Unit details
| Year: | 2019 unit information |
|---|---|
| Enrolment modes: | Not offered in 2019 |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Trimester 2 Unit Chair: | Bahadorreza Ofoghi |
| Prerequisite: | MIS272 and SIT112 |
| Corequisite: | Nil |
| Incompatible with: | Nil |
| Scheduled learning activities - campus: | 3 x face-to-face contact hours per week (1 x 2 hour class and 1 x 1 hour lab) |
| Scheduled learning activities - cloud (online): | 11 x 2 hour class (live streamed with recordings provided) and 1 x 1 hour online seminar/workshop |
Content
Businesses and governments have access to massive volumes of data and require advanced understanding and expertise to make sense of this information for strategic decision making and turning the information into key business assets. This unit will provide students with the knowledge and skills to develop advanced predictive models and make use of cutting-edge analytics tools to develop analytic-centric solutions in real business scenarios. Students will be given the opportunity to gain hands-on experience with one of the most widely used artificial intelligence software tools globally, namely Microsoft Azure.
Assessment
Assessment 1 (Individual)- Data analysis and a report (1,500 words): 30%
Assessment 2 (Group of 2-3)- Data analysis and a report (3,000 words): 40%.
Assessment 3 (Individual)- Written report (2,000 words): 30%.
Unit Fee Information
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