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
Program Learning Outcomes
This course contributes to the program learning outcomes for the following program(s):
BP094P23 - Bachelor of Computer Science
BP162O - Bachelor of Information Technology (RMITO)
BP162P23 - Bachelor of Information Technology
BP347 - Bachelor of Computer Science (Professional)
BP349 - Bachelor of Information Technology (Professional)
BP096P25 - Bachelor of Software Engineering (Professional)
BP355 - Bachelor of Cyber Security
BP356 - Bachelor of Cyber Security (Professional)
BP340P23 - Bachelor of Data Science
BP348 - Bachelor of Data Science (Professional)
PLO 1 Knowledge - Apply a broad and coherent set of knowledge and skills for developing user-centric software engineering solutions for contemporary societal challenges.
PLO 3 Cognitive and Technical Skill - Critically analyse and evaluate user requirements and design systems employing software development tools, techniques and emerging technologies.
PLO 4 Communication - Communicate effectively with diverse audiences, employing a range of communication methods in interactions to both computing and non-computing personnel.
PLO 6 Responsibility and Accountability - Demonstrate integrity, ethical conduct, sustainable and culturally inclusive professional standards, including First Nations knowledges and input in designing and implementing software engineering solutions.
BH116P23 - Bachelor of Surveying (Honours)
PLO2 Critically analyse and evaluate information, standards, methods, tools, and practices in the role of a Surveyor.
PLO6 Work independently, with agility, safety, and accountability for own learning and professional future.
PLO7 Make use of professional practices to achieve learning excellence within multi-disciplinary teams and in adherence with the regulatory frameworks of a Surveyor and First Nations knowledges and input
BH117P23 - Bachelor of Geospatial Science (Honours)
PLO1 Apply advanced and coherent knowledge of theories, principles, concepts, technologies, and specialist practices in the geospatial science.
PLO6 Work independently, with agility, safety, and accountability for own learning and professional future.
PLO7 Collaborate and contribute within diverse, multi-disciplinary teams, with commitment to diversity,equity and globally inclusive perspectives and practices including First Nations knowledges and input.
BP154P23 - Bachelor of Psychology
PLO 1 Apply breadth and depth of psychology theories, concepts and evidence in various real-world settings using a scientific approach.
PLO 3 Demonstrate the ability to generate and evaluate solutions to all aspects of disciplinary practice while complying with ethical, legal and regulatory standards.
PLO 4 Communicate to diverse audiences utilising contemporary and traditional formats and employing professional integrity, inclusivity and culturally-safe practices
PLO 5 Demonstrate responsibility and accountability for professional decisions and resolve challenges through application of critical thinking and reflective practice, autonomously and as part of a multidisciplinary team
BP083P23 - Bachelor of Applied Mathematics and Statistics
PLO1 Apply a broad and coherent knowledge of mathematical and statistical theories, principles, concepts and practices with multi-disciplinary collaboration.
PLO3 Formulate and model real world problems using principles of mathematical and statistical inquiry to inform evidence-based decision making.
PLO4 Critically evaluate and communicate technical and non- technical mathematical and statistical knowledge to diverse audiences utilising a variety of formats employing culturally safe practices.
PLO5 Work ethically and independently, with integrity and accountability to develop professional agility for future careers.
PLO6 Collaborate and contribute within diverse, multi-disciplinary teams, with commitment to diversity, equity and globally inclusive perspectives and practices including First Nations knowledges.
BP199P7 - Bachelor of Science (Food Technology and Nutrition)
PLO 1.1 Demonstrate a coherent understanding of science - You will demonstrate an understanding of the scientific method and an ability to apply the scientific method in practice.
PLO 3.1 Critically analyse and solve scientific problems - You will demonstrate an ability to apply scientific principles and methods to solve problems associated with food technology and/or nutrition.
PLO 3.2 Critically analyse and solve scientific problems - You will be able to gather and critically review information from a range of technical and scientific sources, and synthesise information relevant to an issue related to the food and/or nutrition industries.
PLO 3.3 Critically analyse and solve scientific problems - You will demonstrate the ability to apply appropriate critical and analytical thought to issues related to food technology and/or nutrition.
PLO 4.3 Demonstrate effective communication of science - You will be able to communicate the solution to a problem or the result of a technical or scientific investigation using appropriate terminology for the intended audience.
BP229P7 - Bachelor of Science (Applied Sciences)
BP229PHYS - Bachelor of Science (Physics)
BP305ASDD - Bachelor of Science (Applied Science)/Bachelor of Business (Management)
PLO-2.2 Scientific knowledge - You will have knowledge in at least one discipline other than your primary discipline and some understanding of interdisciplinary linkages.
BP350 - Bachelor of Science
PLO1 Apply a broad and coherent knowledge of scientific theories, principles, concepts and practice in one or more scientific disciplines.
PLO2 Analyse and critically examine scientific evidence using methods, technical skills, tools and emerging technologies in a range of scientific activities.
PLO3 Analyse and apply principles of scientific inquiry and critical evaluation to address real-world scientific challenges and inform evidence based decision making.
PLO4 Communicate, report and reflect on scientific findings, to diverse audiences utilising a variety of formats employing integrity and culturally safe practices.
PLO5 Work independently, with agility, safety, and accountability for own learning and professional future.
AD023A - Associate Degree Aviation (Prof Pilots)
AD023BN - Associate Degree Aviation (Prof Pilots)
PLO 1.1 Demonstrate broad knowledge of underpinning theoretical aviation principles, and analyse information to complete a range of activities.
PLO 2.1 Ability to undertake problem identification, formulation and solution to unpredictable and sometimes complex problems.
PLO 2.3 Ability to plan and execute activities to an appropriate professional standard.
PLO 2.4 Show initiative and judgement in planning, problem solving and decision making in aviation practice; with communication and analytical skills to interpret and transmit responses to sometimes complex problems.
PLO 3.2 Communication skills to make clear and coherent presentation of knowledge and ideas with some intellectual independence.
PLO 3.3 Ability to function effectively as an individual and in multi-disciplinary and multi-cultural teams, with the capacity to be an effective team member as well as to take on roles of responsibility.
PLO 3.5 Understanding of and commitment to professional and ethical responsibilities
PLO 3.6 Responsibility and accountability for own learning and work in collaboration with others within broad parameters.
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:
- Explain the foundations and applications of Artificial Intelligence (AI) in the fields of Health, Science, Technology, Engineering, and Mathematics.
- Identify, analyse and solve real-world health, science, technology, engineering and mathematics problems using AI approaches, algorithms and applications.
- Explore ethical and safety considerations in the development and deployment of AI applications in health, science, technology, engineering and mathematics.
- 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.