CSC-40054 - Data Analytics and Databases
Coordinator:
Lecture Time:
Level: Level 7
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2022/23

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2022/23


Aims
The module aims to equip learners with the knowledge of operations on databases and of a variety of tools and statistical techniques that enable them to make sense of the emergence and exponential growth of big data.
The learners will be able to critically evaluate and apply big data applications and advanced analytics and statistical modelling techniques appropriate to different types of problems.

Intended Learning Outcomes

evaluate available data and determine how best to analyse the information available to provide required outcomes: 1
evaluate machine learning methods in the context of statistical analysis of data representing social or natural systems: 2
develop advanced applications of statistical data analytics techniques using an advanced specialist programming language (e.g. R, Matlab): 1
assess the options of storing, managing and manipulating very large volumes of data in the context of research or business organisations: 2
assess a range of statistical approaches and apply the correct statistical approaches to extract information from a set of data typically available in a modern business or research organisation: 2

Study hours

6 hours scheduled online Q&A sessions
6 hours classroom-based tutorials
20 hours online lectures expected to be attended as independent study
14 hours online tutorial activity attended as independent study
108 hours independent study
2 hour exam

School Rules

None

Description of Module Assessment