Programme/Approved Electives for 2021/22
Available as a Free Standing Elective
The module will introduce a set of techniques for pre-processing and processing of raw data. Students will be able to discuss the relative merits of techniques falling under the same category and be able to select the most appropriate. The module will also touch on the important issues of ethics and security related with the acquisition, storing, processing and dissemination of data and information.
Following on from Data Science I, this module will dive further into the processes techniques used to extract information from raw data. The module will also introduce the concepts of ethics and security in relation to collecting, storing and disseminating data and information.
Intended Learning Outcomes
Describe and discuss the ethical implications of collecting and storing data.: 1Compare different techniques for processing data in order to identify the best one for the intended purpose.: 1Demonstrate appropriate use of data mining, machine learning and AI techniques used for extracting information from data.: 1
Lectures: 24hPractical classes: 12hIndependent study: 114h
CSC-10058 is a prerequisite.
1: Coursework weighted 100%
Description of Module Assessment
CourseworkStudents will be given a problem that will require the use of a supplied set of data. Pre-processing and analysis of the given set will be required in order to prove/disprove a given hypothesis. Students will have to produce a written report (3000 words) explaining their workings and the reasoning/justification behind their work (i.e. their choice of data processing techniques).