Course overview
This course aims to extend the knowledge and skills in applying a range of advanced data analytics techniques and integrate responsibility into the systems they design, build and deploy. The aim of this course is topics covered in this course include responsible data analytics, time series analysis, reinforcement learning, deep neural networks and computer vision, and natural language processing.
Course learning outcomes
- Apply advanced analytics methods to solve complex data analytics problems.
- Design an approach to AI and Data Analytics problems in specialised domains including natural language processing, speech and vision.
- Critique emerging technologies in Artificial intelligence (AI), considering their scope, limitations and application.
- Apply principles of responsible AI at every stage of the Data Analytics and AI-enabled application development.
Degree list
The following degrees include this course