Course Title: Foundations of Artificial Intelligence for STEM

Part A: Course Overview

Course Title: Foundations of Artificial Intelligence for STEM

Credit Points: 12.00

Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
COSC2960	City Campus	Undergraduate	171H School of Science	Face-to-Face	Sem 2 2021
COSC2960	City Campus	Undergraduate	175H Computing Technologies	Face-to-Face	Sem 1 2022, Sem 2 2022, Sem 1 2023, Sem 2 2023, Sem 1 2024, Sem 2 2024
COSC2968	RMIT University Vietnam	Undergraduate	175H Computing Technologies	Face-to-Face	Viet3 2023, Viet2 2024, Viet3 2024
COSC3053	RMIT Vietnam Hanoi Campus	Undergraduate	175H Computing Technologies	Face-to-Face	Viet2 2024, Viet3 2024
COSC3094	Bundoora Campus	Undergraduate	175H Computing Technologies	Face-to-Face	Sem 1 2024, Sem 2 2024

Flexible Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
COSC2960	City Campus	Undergraduate	175H Computing Technologies	Face-to-Face	UGRDFlex24 (All)

Course Coordinator: Dr Haytham Fayek

Course Coordinator Phone: +61 3 9925 0858

Course Coordinator Email: haytham.fayek@rmit.edu.au

Course Coordinator Location: City Campus

Course Coordinator Availability: via email

Pre-requisite Courses and Assumed Knowledge and Capabilities

None

Course Description

This course introduces the foundations of Artificial Intelligence (AI) tailored to students from a range of health, science, technology, engineering, and math disciplines. AI is a branch of computer science devoted to developing intelligent hardware and software systems. Applications of AI are now widespread in the world of work. It is therefore increasingly important for all health, science, technology, engineering, and math disciplines graduates to have an understanding of the foundations and applications of the field of AI relevant to their own discipline. This course will also challenge you to consider the impact and ethics of AI on your future profession and society.

Objectives/Learning Outcomes/Capability Development

A basic understanding of the foundations and applications of AI as applied in contemporary health, science, technology, engineering, and math workplaces and future trends in applications from an inter-disciplinary perspective.

For more information on the program learning outcomes for your program, please see the program guide.

Upon successful completion of this course, you will be able to:

1. Explain the foundations and applications of Artificial Intelligence (AI) in the fields of Health, Science, Technology, Engineering, and Mathematics.
2. Identify, analyse and solve real-world health, science, technology, engineering and mathematics problems using AI approaches, algorithms and applications.
3. Explore ethical and safety considerations in the development and deployment of AI applications in health, science, technology, engineering and mathematics.
4. Communicate accurately and collaborate effectively using a variety of tools and techniques specific to the fields of AI and health, science, technology, engineering and mathematics.

Overview of Learning Activities

This course follows a modular structure. The course comprises six modules. Modules vary in duration spanning two to four weeks. Two modules are compulsory, and two modules will be your choice (from a choice of four modules).

The first module “Introduction to AI” is compulsory. The second segment of the course offers a choice of two modules, namely, “Classical AI” and “Data Science”. The third segment of the course offers a choice of two modules, namely “Machine Learning” and “Applications of AI”. The final module “Ethics, Safety, and Future” is also compulsory.

You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course.

Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course. You will use software provided by the STEM College to complete some assessments.

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.

Overview of Assessment

This course has no hurdle requirements.

Assessment Tasks

Assessment Task 1: Quizzes
Weighting 10%
This assessment task supports CLO 1

Assessment Tasks 2A/B: Assignments
Weighting 30%
This assessment task supports CLOs 2, 3, & 4

Assessment Tasks 3A/B*: Assignments
Weighting 30%
This assessment task supports CLOs 2, 3, & 4
*Assessment Task 3B is divided into Part 1 and Part 2.

Assessment Task 4: Group Assignment
Weighting 30%
This assessment task supports CLOs 2, 3, & 4.

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.