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CSC-40054 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

For academic year: 2024/25 Last Updated: 20 November 2024

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

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2024/25

The module equips learners with the knowledge of database operations and a variety of tools and statistical techniques to enable them to make sense of the exponential growth of big data. The learners will understand big data issues and advanced analytics and statistical modelling techniques and evaluate their applicability to different types of problems.

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: 2
evaluate machine learning methods in the context of statistical analysis of data representing social or natural systems: 1
develop advanced applications of statistical data analytics techniques using an advanced specialist programming language (e.g. R, Python, and Matlab): 1
assess the options of storing, managing and manipulating very large volumes of data in the context of research or business organisations: 1
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

24 hours of classroom-based lectures as the active learning
24 hours of classroom-based tutorials as the active learning
24 hours of preparation for tutorials as the independent study
24 hours of preparation for the open-book exam as the independent study
2 hours of the open-book exam as the independent study
52 hours for research and preparing the coursework assignment as the independent study

School Rules

Knowledge of Programming is essential. Students not having a background in programming are required to attend the course CSC-40044 (System Design and Programming) offered by the department

Description of Module Assessment

1: Assignment weighted 50%
Written report


2: Open Book Examination weighted 50%
Online open book exam with 28-hour window


The University undertakes a continuous review of its teaching and research provision to ensure programmes are of a high quality and changes may be made to modules where it is necessary and reasonable to do so. Please be aware that minor changes to modules, such as a change to an individual assessment, can occur up until enrolment, although we endeavour to give you as much notice as possible of any changes. Details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/legalgovernancecompliance/governance/actcharterstatutesordinancesandregulations/studenttermsconditions/

Last Updated: 20 November 2024