COMP8535 Engineering Data Analytics

About the course

Data-driven decision-making is an essential component of emerging systems that generate and consume very large amounts of sensing data from autonomous vehicles to digital pathology. This course covers technologies and methodologies necessary for inferring useful information and identifying underlying patterns from often raw, incomplete, noisy and corrupted data that is present in real-life applications. It will also give students the opportunity to explore advanced solutions of data analytics such as dimensionality reduction, sparse encoding, compressive sensing, nonlinear filtering, manifold learning, and generative data modelling.

When it meets

Every week

• Tue 14:00–16:00 lecture

Choose one tutorial (4 options)

• Wed 11:00–12:00
• Wed 13:00–14:00
• Thu 09:00–10:00
• Thu 11:00–12:00
  Fri 09:00–10:00

2027 times aren't published yet, so these are last year's.

Requirements

To enrol in this course you must be studying: Master of Computing (Advanced) OR Master of Machine Learning and Computer Vision AND have completed 12 units of 6000-level COMP coded courses.

Wording from ANU Programs and Courses.