Course Details in 2022/23 Session

Module Title	LM Current Topics in Data Science
School	Computer Science
Department	Computer Science
Module Code	06 37861
Module Lead	Hamid Dehghani
Level	Masters Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Guided independent study-200 hours Total: 200 hours
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	37861-02 : Continuous Assessment : Coursework (100%)
Assessment Methods & Exceptions	Assessment: Main Assessments: Continuous assessment (100%) Reassessment: Supplementary Assessments: Continuous assessment (100%) over the Summer period
Other
Reading List