Text & Sequence Analytics

This module provides advanced knowledge of modern techniques for natural language processing and sequence analysis. It also presents insights into how artificial intelligence and algorithms can be applied to text analytics.

1. Think in abstract ways about complex unstructured text-based computing problems.

2. Apply current theoretical and programmatic techniques to text applications and problems.

3. Understand the challenges and limitations of current approaches to text and sequence analysis.

4. Applying abstract algorithmic approaches to complex, unstructured and highly noisy text-based problems.

5. Analyse large volumes of unstructured text-based data and extract meaningful patterns and insights.