Course finder
Full Year
Text Technologies for Data Science (UG) (INFR11229)
Subject
Informatics
College
SCE
Credits
20
Normal Year Taken
4
Delivery Session Year
2023/2024
Pre-requisites
As above. No part time visiting students permitted.
Course Summary
This course follows the delivery and assessment of Text Technologies for Data Science (INFR11145) exactly. Undergraduate students must register for this course, while MSc students must register for INFR11145 instead.
Course Description
This course follows the delivery and assessment of Text Technologies for Data Science (INFR11145) exactly. Undergraduate students must register for this course, while MSc students must register for INFR11145 instead.
Assessment Information
Written Exam 30%, Coursework 70%, Practical Exam 0%
Additional Assessment Information
Exam 30%Coursework 70%Course Work 1 10%, individual work covers implementing basic search engineCourse Work 2 20%, individual work covering IR evaluation and web searchCourse Work 3 40%, is a group project, where each group is 4-6 membersAll of the coursework is heavy on system implementation, and thus being familiar with programming and software engineering is a pre-requisite. Python is required for implementation of Course Work 1 and Course Work 2. For Course Work 3, students are free to use the implementation language they prefer.
view the timetable and further details for this course
Disclaimer
All course information obtained from this visiting student course finder should be regarded as provisional. We cannot guarantee that places will be available for any particular course. For more information, please see the visiting student disclaimer: