The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
Overview
Artificial Intelligence (AI) involves developing systems that are autonomous and intelligent. This unit introduces you to contemporary and emerging AI technologies to address problems such as medical diagnosis, manufacturing optimisation and transport scheduling. You will investigate the application of AI technologies in areas such as computer vision, machine learning and deep learning. Fundamental AI concepts will be considered, including artificial neural networks and model validation techniques. You will develop AI systems using industry tools and learn to develop a business case for an AI system.
Details
Pre-requisites or Co-requisites
Pre-requisite: COIT11222 Programming Fundamentals
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).
Offerings For Term 2 - 2023
Attendance Requirements
All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Recommended Student Time Commitment
Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.
Class Timetable
Assessment Overview
Assessment Grading
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of 'pass' in order to pass the unit. If any 'pass/fail' tasks are shown in the table above they must also be completed successfully ('pass' grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the 'assessment task' section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University's Grades and Results Policy for more details of interim results and final grades.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure - Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure - International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback - Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Feedback from Teaching Team
Students feel overloaded with many new theoretical and practical concepts each week, making it difficult for some students to grasp key AI concepts.
Increase practical materials on important AI topics, such as image analysis, face recognition and deep learning models, while reducing some of the theory on less important topics.
Feedback from Head of Postgraduate ICT courses
The Moodle site can be streamlined to make it more user-friendly and consistent to adhere with CQURenew guidelines.
Streamline the Moodle site to make it more consistent to adhere with CQURenew guidelines.
- Select Artificial Intelligence (AI) techniques to solve authentic problems including social innovation challenges
- Apply industry tools to solve AI problems
- Critique business cases for AI systems against social and ethical frameworks.
The Australian Computer Society (ACS) recognises the Skills Framework for the Information Age (SFIA). SFIA provides a consistent definition of ICT skills. SFIA is adopted by organisations, governments, and individuals in many countries and is increasingly used when developing job descriptions and role profiles.
ACS members can use the tool MySFIA to build a skills profile at https://www.acs.org.au/professionalrecognition/mysfia-b2c.html.
The Australian Computer Society (ACS) recognises the Skills Framework for the Information Age (SFIA). SFIA is adopted by organisations, governments and individuals in many countries and provides a widely used and consistent definition of ICT skills. SFIA is increasingly being used when developing job descriptions and role profiles. ACS members can use the tool MySFIA to build a skills profile.
This unit contributes to the following workplace skills as defined by SFIA 7 (the SFIA code is included)
- Analytics (INAN)
- Systems design (DESN)
- Data modelling and design (DTAN)
- Programming/Software Development (PROG)
Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks | Learning Outcomes | ||
---|---|---|---|
1 | 2 | 3 | |
1 - Online Quiz(zes) - 35% | |||
2 - Group Work - 30% | |||
3 - Written Assessment - 35% |
Alignment of Graduate Attributes to Learning Outcomes
Graduate Attributes | Learning Outcomes | ||
---|---|---|---|
1 | 2 | 3 | |
1 - Communication | |||
2 - Problem Solving | |||
3 - Critical Thinking | |||
4 - Information Literacy | |||
5 - Team Work | |||
6 - Information Technology Competence | |||
7 - Cross Cultural Competence | |||
8 - Ethical practice | |||
9 - Social Innovation | |||
10 - Aboriginal and Torres Strait Islander Cultures |
Alignment of Assessment Tasks to Graduate Attributes
Assessment Tasks | Graduate Attributes | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
1 - Online Quiz(zes) - 35% | ||||||||||
2 - Group Work - 30% | ||||||||||
3 - Written Assessment - 35% |
Textbooks
Artificial Intelligence with Python
second edition (2020)
Authors: Artificial Intelligence with Python
ISBN: 9781839219535
Binding: Website Link
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- Jupyter Notebook
All submissions for this unit must use the referencing style: Harvard (author-date)
For further information, see the Assessment Tasks.
n.islam@cqu.edu.au
Module/Topic
· Introduction To Artificial Intelligence
· Fundamental Use Cases for Artificial Intelligence
Chapter
Chapter 1 and 2
Events and Submissions/Topic
Module/Topic
· Machine Learning Pipelines
· Feature Selection and Feature Engineering
Chapter
Chapter 3 and 4
Events and Submissions/Topic
Module/Topic
Classification And Regression Using Supervised Learning
Chapter
Chapter 5
Events and Submissions/Topic
Module/Topic
Predictive Analytics with Ensemble Learning
Chapter
Chapter 6
Events and Submissions/Topic
Module/Topic
Detecting Patterns with Unsupervised Learning
Building Recommender Systems
Chapter
Chapter 7 & 8
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Image and video analysis
Chapter
Chapter 18
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Chapter
Chapter 13
Events and Submissions/Topic
Module/Topic
Chatbots
Chapter
Chapter 16
Events and Submissions/Topic
Module/Topic
AI on the cloud
AI and Ethics
Chapter
Chapter 12
Events and Submissions/Topic
Module/Topic
Neural Networks
Chapter
Events and Submissions/Topic
Module/Topic
Chapter
Chapter 20
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Dear COIT12213 students,
Welcome to Term 2 2023!
I am Dr. Nahina Islam, the unit coordinator of COIT12213- Applied Artificial Intelligence. I hope you will enjoy the journey of learning applied Artificial Intelligence with me.
Warm wishes,
Dr. Nahina Islam
n.islam@cqu.edu.au
email: n.islam@cqu.edu.au
1 Online Quiz(zes)
Assessment 1 is an online quiz which is based on contents from Lecture 1-5. Through this assessment students will demonstrate their ability to select Artificial Intelligence (AI) techniques to solve authentic problems including social innovation challenges. Students will get only one (1) attempt to take the online quiz before the due date.
Detailed information about this assignment can be accessed from the unit website in Moodle.
1
Other
Week 5 Friday (11 Aug 2023) 11:55 pm AEST
Online
Score will be displayed immediately after completing the quiz
Assessment 1 will cover the contents from Lecture 1-5. There will be 20 questions which may be combination of Multiple choice, True/False and/or short answer questions. Students need to complete it within 1 hour. Students will get only one (1) attempt to take the online quiz before the due date.
- Select Artificial Intelligence (AI) techniques to solve authentic problems including social innovation challenges
- Problem Solving
- Critical Thinking
- Information Literacy
- Information Technology Competence
2 Group Work
Assignment-2 is a group work where students have to write python code to solve the given problem(s). Students have to choose specific AI tool(s) to solve the problem(s) and have to justify the reason of choosing the specific AI tool(s). This assessment will address the following unit learning outcomes: Apply industry tools to solve AI problems and critique business cases for AI systems against social and ethical frameworks.
Week 8 Friday (8 Sept 2023) 11:55 pm AEST
Submit online via Moodle link
Week 10 Friday (22 Sept 2023)
Online
The students will be marked based on their ability to:
- Choose the correct AI tool and justifying the reason of this choice
- Writing the correct Python code
- Apply industry tools to solve AI problems
- Critique business cases for AI systems against social and ethical frameworks.
- Apply industry tools to solve AI problems
- Critique business cases for AI systems against social and ethical frameworks.
- Communication
- Problem Solving
- Critical Thinking
- Information Literacy
- Team Work
- Information Technology Competence
- Cross Cultural Competence
- Ethical practice
- Social Innovation
3 Written Assessment
Assignment 3 is an individual task where students have to develop python code to solve the given real-world problem(s). Students have to choose specific AI tool to solve the given problem and have to justify the reason of choosing the specific AI tool. This assessment will address the following unit learning outcomes: select Artificial Intelligence (AI) techniques to solve authentic problems including social innovation challenges; apply industry tools to solve AI problems and critique business cases for AI systems against social and ethical frameworks.
Week 12 Friday (6 Oct 2023) 11:55 pm AEST
Submit online via the Moodle link
On certification of grade
The students will be marked based on their ability to:
- Ability to choose Artificial Intelligence (AI) techniques to solve authentic problems including social innovation challenges
- Justifying the reason of this choice
- Develop the correct Python code
- Apply industry tools to solve AI problems
- Critique business cases for AI systems against social and ethical frameworks.
- Select Artificial Intelligence (AI) techniques to solve authentic problems including social innovation challenges
- Apply industry tools to solve AI problems
- Critique business cases for AI systems against social and ethical frameworks.
- Communication
- Problem Solving
- Critical Thinking
- Information Literacy
- Information Technology Competence
- Cross Cultural Competence
- Ethical practice
- Social Innovation
As a CQUniversity student you are expected to act honestly in all aspects of your academic work.
Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.
When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.
Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.
As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.
What is a breach of academic integrity?
A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.
Why is academic integrity important?
A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.
Where can I get assistance?
For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.