University of Queensland

This course examines the nearshore coastal zone. It focuses on the development of hands-on practical skills and field experiences that will include student-driven exercises and projects. This will include a multi-day field trip to Moreton Bay Research Station, where students will engage in field data collection training from experts in water quality assessment, coastal processes, seagrass monitoring and coral reef surveys. 

This course examines a range of challenging and controversial population issues facing the world today, including population growth, ageing, the COVID pandemic, immigration, the growth of megacities, the fertility crisis and environmental degradation.

This course examines the kinds of fiction that are usually described as "genre" or "popular" works. It provides a practice-led exploration and analysis of a range of significant genre texts and techniques. The emphasis is on the genre novel, but also considers the theory of genre fiction, and how genres operate in the literary marketplace.

This course will go through the different parts of the climate system, atmosphere, hydrosphere, cryosphere, biosphere and lithosphere and cover the evidence for human influenced climate change globally and in Australia. It will discuss the consequences and risks that climate change presents to the society, environment, ecosystems and biodiversity, and the potential strategies to mitigate and adapt for a future warmer world.

This course examines the development of contemporary physical and human geography, its disciplinary roots, substantive focus, analytical methods and practical applications. 

This course develops intermediate skills in creative music making music using music technologies and digital audio workstations. Topics include audio and MIDI recording, editing and mixing techniques, sound design, mix automation and critical listening.

This course examines the theory and practice of machine learning, including conceptual, computational, mathematical and statistical frameworks. Topics include: classification, regression, optimization, neural networks, deep learning, unsupervised learning, semi-supervised learning, clustering, dimensionality reduction and generative models. The implementation of machine learning techniques, experimentation and practical application are a central theme of the course.

This course examines basic concepts in modern linguistics relating to sentence structure and how meaning is encoded.