Artificial Intelligence Techniques PG (6685.5)

Required texts

All requisite material will be provided as part of the Lecture Slides. However, students may refer to the following textbooks for reference. E-versions of these books are available on the Internet, or can be referred to from the UC Library.

1. Pattern Recognition and Machine Learning by Christopher M. Bishop, Springer 2006.

2. Foundations of Data Science by Avrim Blum, John Hopcroft and Ravindran Kannan, Cambridge University Press, 2020. 

3. Statistical Methods for Psychology by David C. Howell (8th Edition), Cengage Learning, 2012.

4. Python Data Science Handbook, Essential Tools for Working with Data, Jake VanderPlas, Publisher: O'Reilly Media, November 2016

Submission of assessment items

Extensions & Late submissions

Assessment item submission format:

The first page of each assessment item should include the following information:

• Student ID number and Name
• A signed declaration by the student that the solution submitted represents original work.

Special assessment requirements

In order to pass the unit, a student needs to satisfy both Criterion 1 and Criterion 2.

(1) Criterion 1:The final mark for this unit will be calculated as the sum of scores achieved over all weighted assessments. To pass the unit the student must score a minimum aggregate of 50%.

(2) Criterion 2: A total of 8 lab exercises will be provided for students' practice, and to facilitate their understanding of concepts. At least 4 of these lab exercises need to be completed and returned by the students in order to pass the unit. 

(3) The unit convenor reserves the right to question students on any of their submitted work for moderation and academic integrity purposes, which may result in an adjustment to the marks awarded for a specific task.

Academic integrity

Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.

To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.

Use of Text-Matching Software

The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.

Learner engagement

Participation requirements

Students are strongly encouraged to attend all lectures and labs for successful completion of the unit.Overall a minimum score of 50% over all weighted assessments is required to pass the unit. Participation in tutorial/programming sessions is strongly encouraged of this unit, and attendance will be recorded. In addition to a 50% aggregate, you must complete and submit at least 4 (four) lab exercises out of 8 on Canvas over the semester to pass the unit. Experience has shown that students who do not attend the classes and/or tutorials will have difficulty in passing the subject.

Required IT skills

Students are expected to know either Matlab or Python to successfully complete the unit. Introductory Python programming will be covered in Lab Session 1, and some additional resources will be provided. Matlab programming resources can be retreieved from the Internet. For the assignment and project reports, knowledge of Latex (https://www.overleaf.com/learn/latex/Learn_LaTeX_in_30_minutes) or MS Word would be required.

Occasionally, the unit may involve online meetings in real time using the Virtual Room in your UCLearn teaching site. The Virtual Room allows you to communicate in real time with your lecturer and other students. To participate verbally, rather than just typing, you will need a microphone. For best audio quality we recommend a microphone and speaker headset. For more information and to test your computer, go to the Virtual Room in your UCLearn site and 'Join Course Room'. This will trigger a tutorial to help familiarise you with the functionality of the Virtual Room.

Work placement, internships or practicums

None

• Semester 1, 2024, On-Campus, UC - Canberra, Bruce (221385)
• Semester 2, 2023, On-Campus, UC - Canberra, Bruce (213668)
• Semester 2, 2022, On-Campus, UC - Canberra, Bruce (207211)
• Semester 2, 2021, On-Campus, UC - Canberra, Bruce (202060)