Course overview
This introductory course aims to equip students with a foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML) through the practical application of algorithms using Python. Students will explore essential pre-deep learning techniques, focusing on implementing and interpreting AI and ML models, and understanding evaluation metrics. The course covers topics such as data preprocessing, supervised learning algorithms like regression and classification, unsupervised learning techniques such as clustering, and a basic introduction to neural networks. Designed to prepare students for advanced studies in deep learning, this course will enable them to apply, assess, and refine ML algorithms effectively, setting a robust foundation for tackling more complex AI challenges in future endeavours.
- Foundations Of Ai And Supervised Learning
- Model Evaluation And Advanced Learning Techniques
- Unsupervised Learning And Neural Networks
Course learning outcomes
- Comprehensive understanding of AI and ML principles, including basic Python applications
- Proficiency in data preprocessing techniques (handling missing data, normalization, feature engineering)
- Ability to critically assess ML models using evaluation metrics and techniques to address overfitting/underfitting
- Capability to develop, apply, and tune supervised learning algorithms to real-world data
- Mastery of unsupervised learning methods and their applications to discover patterns in data
- Basic understanding of neural network architectures and their applications
Availability
Class details
Mawson Lakes
Class number 25916
Section FR01
Size 85
Available 85
Class number 25917
Section TU01
Size 20
Available 20
Class number 25918
Section TU02
Size 20
Available 20
Class number 25919
Section TU03
Size 20
Available 20
Class number 25920
Section TU04
Size 20
Available 20
Class number 29072
Section TU05
Size 20
Available 20
Adelaide City Campus East
Class number 25921
Section FR01
Size 200
Available 200
Class number 25922
Section TU01
Size 44
Available 44
Class number 25923
Section TU02
Size 44
Available 44
Class number 25924
Section TU03
Size 44
Available 44
Class number 21777
Section TU04
Size 44
Available 44
Class number 21778
Section TU05
Size 44
Available 44
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.