Programme And Module Handbook
Course Details in 2022/23 Session

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Module Title LM Language and Cognition (Extended)
SchoolComputer Science
Department Computer Science
Module Code 06 30245
Module Lead Mark Lee
Level Masters Level
Credits 20
Semester Semester 2
Restrictions None
Description Natural Language Processing enables computers to understand and reason about human languages such as English and has resulted in many exciting technologies such as conversational assistants, machine translation and (intelligent) internet search. This module will provide the theoretical foundations of NLP as well as applied techniques for extracting and reasoning about information from text.
Learning Outcomes By the end of the module students should be able to:
  • Demonstrate an understanding of the major topics in Natural Language Processing
  • Understand the role of machine learning techniques in widening the coverage of NLP systems.
  • Demonstrate an ability to apply knowledge-based and statistical techniques to real-world NLP problems
  • The student should demonstrate the capacity to independently study, understand, and critically evaluate advanced materials or research articles in the subject areas covered by this module.
Assessment Methods & Exceptions Assessments: Examination (80%), Continuous Assessment (20%)
Reassessment: Examination (100%)
Reading List