Course level

Postgraduate Coursework

Faculty

Science

School

Mathematics & Physics School

Units

2

Duration

One Semester

Class hours

Lecture 3 Hours/ Week
Practical 1 Hour/ Week
Tutorial 1 Hour/ Week
3L, 1P, 1T

Incompatible

STAT3007 (co-taught)

Recommended prerequisite

(STAT2004 or STAT2203 or equivalent) + programming experience (for example, MATH2504 or CSSE2002 or equivalent)

Assessment methods

Assignments

Paper review

Group project

Course enquiries

Dr Nan Ye (nan.ye@uq.edu.au)

Current course offerings

Course offerings Location Mode Course Profile
Semester 1, 2024 (19/02/2024 - 15/06/2024) St Lucia In Person Course Profile

Please Note: Course profiles marked as not available may still be in development.

Course description

Deep learning has become a much sought-after game-changing technology that has enabled breakthroughs in applications such as intelligent virtual assistants, medical diagnosis, recommender systems, and autonomous driving. This course provides a comprehensive and rigorous coverage of deep learning from both applied and theoretical perspectives. Students taking this course will understand how, why and when the algorithms work, and be able to effectively apply deep learning methods to practical problems. This course begins with the basics of machine learning, followed by a broad coverage of deep neural networks, including some major deep neural network architectures, optimization of network parameters, and applications in classification, regression and reinforcement learning. This course is suitable for both students who want to build data-driven enabling applications with deep learning, and students who want to develop a solid foundation for doing research in deep learning in particular, and machine learning or artificial intelligence more broadly. To maximise the learning outcomes, students are expected to have a solid foundation in statistics, calculus, linear algebra, and programming. Python will be used for this course.

Archived offerings

Course offerings Location Mode Course Profile
Semester 1, 2023 (20/02/2023 - 17/06/2023) External External Course Profile
Semester 1, 2023 (20/02/2023 - 17/06/2023) St Lucia In Person Course Profile
Semester 1, 2022 (21/02/2022 - 21/06/2022) St Lucia External Course Profile
Semester 1, 2022 (21/02/2022 - 21/06/2022) St Lucia Internal Course Profile