Course Details in 2025/26 Session


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Module Title LM Current Topics in Data Science
SchoolComputer Science
Department Computer Science
Module Code 06 32256
Module Lead Leandro Minku
Level Masters Level
Credits 20
Semester Semester 2
Pre-requisites
Co-requisites
Restrictions None
Exclusions
Description Data Science is a rapidly advancing field of study. This module will consist of a series of seminar-style short courses that will cover recent advances in the subject. Each topic will be introduced by a staff member and students will then develop their knowledge via directed reading and present their findings to the class. Each topic will be accompanied by weekly quizzes that will teststudents’ understanding.
Learning Outcomes By the end of the module students should be able to:
  • demonstrate an understanding and appreciation of recent advances in data science
  • make effective oral and written presentations
  • engage effectively in discussions about recent research in data science
Assessment 32256-01 : Continuous Assessment : Coursework (100%)
Assessment Methods & Exceptions Main Assessments: Continuous assessment (100%)
Supplementary Assessments: Continuous assessment (100%) over the Summer period
Other
Reading List