GC197 - Graduate Certificate in Foundation of Artificial Intelligence

Plan: GC197 - Graduate Certificate in Foundation of Artificial Intelligence
Campus: City Campus

Program delivery and structure

Approach to learning and assessment
Work integrated learning
Program structure

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Approach to learning and assessment

Assessment is designed to give you opportunities to demonstrate your capabilities. You will find that the forms of assessment used may be different for each course, depending on the course objectives and learning outcomes. While most courses in the program are delivered online, some activities such as practical and/or laboratory sessions may require on-campus attendance.

Your assessment in this program will include all or some of the following:

• Assignments and projects: some will require you to demonstrate an ability to work alone, while some will involve group work requiring you to be part of team with other students;
• Reflective journals: where you pause to consider what you have learnt and reflect on the further development of the related capability;
• Assessed tutorials or presentations: a form of timed in-class challenges which you will be required to complete either individually or as a team:
• Self-assessment and peer-assessment: for assessment activities such as seminars you may be asked to assess your own work, the work of your group, or the work of other groups. This is part of equipping you to become more independent in your own learning and to develop your assessment skills.

The assessment you complete will enable the teaching staff to provide you with feedback on your progress. This will enable you to improve your performance in the future.

If you have a disability, long-term illness and/or mental health condition or are the primary carer of individuals with a disability it is possible to have adjustments arranged and negotiated to vary aspects of the learning or assessment methods. You can contact the Program Manager or the Equitable Learning Services if you would like to find out more.

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Work integrated learning

This program does not include a Work Integrated Learning experience. This program builds foundational knowledge as a pathway to the RMIT Master of Artificial Intelligence which contains Work Integrated Learning courses.

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Program Structure

To graduate you must complete the following: All courses listed may not be available each semester.
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Year One of Program
Select and Complete Four (4) of the following Courses:
Course Title Credit Points Course Code Campus Programming Fundamentals 12 COSC2531 City Campus Applied Analytics 12 MATH1324 City Campus The AI Professional 12 COSC2778 City Campus Practical Data Science with Python 12 COSC2670 City Campus Foundations of AI for STEM 12 COSC2959 City Campus
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