SIT787 - Mathematics for Artificial Intelligence
| Year: | 2020 unit information |
|---|---|
| Enrolment modes: | Trimester 1: Waurn Ponds (Geelong), Cloud (online) Trimester 2: Waurn Ponds (Geelong), Cloud (online) |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Prerequisite: | Nil |
| Corequisite: | Nil |
| Incompatible with: | Nil |
| Study commitment | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. |
| Scheduled learning activities - campus | 3 x 1 hour class per week, 1 x 1 hour workshop per week |
| Scheduled learning activities - cloud (online) | 1 x 1 hour scheduled online workshop per week |
Content
This unit provides the fundamental mathematical and statistical knowledge to understand important concepts in Artificial Intelligence (AI) and Data Science (DS). The contents of the unit are selected carefully to cover the most frequent mathematical and statistical tools and techniques to help students easily learn technical topics in AI and DS, enabling students to obtain enough experience to expand their knowledge into new directions if required. The unit builds a strong bridge between simple and core mathematical and statistical concepts and advanced techniques that are used in developing modern algorithms in AI and DS.
Hurdle requirement
To be eligible to obtain a pass in this unit, students must achieve a mark of at least 50% in the examination.
Unit Fee Information
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