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2020 unit information
Classes and seminars in Trimester 2/Semester 2, 2020 will be online. Physical distancing for coronavirus (COVID-19) will affect delivery of other learning experiences in this unit. Please check your unit sites for announcements and updates one week prior to the start of your trimester or semester.
Last updated: 2 June 2020
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Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
3 x 1 hour class per week, 1 x 1 hour workshop per week
1 x 1 hour scheduled online workshop per week
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.
These are the Learning Outcomes (ULO) for this UnitAt the completion of this Unit successful students can:
Deakin Graduate Learning Outcomes
ULO1
Explain the role and application of mathematical concepts associate with artificial intelligence.
GLO1: Discipline-specific knowledge and capabilities GLO4: Critical thinking GLO5: Problem solving
ULO2
Identify and summarise mathematical concepts and technique covered in the unit needed to solve mathematical problems from artificial intelligence applications.
ULO3
Verify and critically evaluate results obtained and communicate results to a range of audiences
GLO2: Communication GLO4: Critical thinking
ULO4
Read and interpret mathematical notation and communicate the problem-solving approach used
GLO1: Discipline-specific knowledge and capabilities GLO2: Communication
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
To be eligible to obtain a pass in this unit, students must achieve a mark of at least 50% in the examination.
There is no prescribed text. Unit materials are provided via the unit site. This includes unit topic readings and references to further information.
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