CSC-10060 - Introduction to Data Science II
Coordinator: Peter T Wootton Room: MAC2.20 Tel: +44 1782 7 33767
Lecture Time: See Timetable...
Level: Level 4
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2021/22

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2021/22

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.

Aims
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.: 1
Compare different techniques for processing data in order to identify the best one for the intended purpose.: 1
Demonstrate appropriate use of data mining, machine learning and AI techniques used for extracting information from data.: 1

Study hours

Lectures: 24h
Practical classes: 12h
Independent study: 114h

School Rules

CSC-10058 is a prerequisite.

Description of Module Assessment

1: Coursework weighted 100%
Coursework
Students 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).