CT5018: Data Analytics

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Please note this module descriptor is indicative of the structure of this course and may be subject to change.

CT5018: Data Analytics

Module Title Data Analytics
Module Code CT5018
Module Tutor Thomas Win
School Business School
CAT Points 15
Level of Study 5
Brief Description This module provides an understanding of analytic techniques to process data and find useful patterns. Data can be in various forms such as textual, image or audio and can be collected from various sources such as sensors, devices, networks, log files, web, social media etc.
Students are assumed to have some background in programming.
Indicative Syllabus Students taking this module will have the opportunity to explore Octave, Matlab, Python, Machine learning, Predictive analytics, and Hadoop.
Learning Outcomes A student passing this module should be able to:
  1. Design and develop code to analyse data and find useful patterns.
  2. Demonstrate knowledge of distributed processing of large data sets across clusters of computers
  3. Flexibly and creatively apply techniques to build real world applications
  4. Apply skills relevant for academic progression and career development within the sector.
Learning and Teaching Activities Scheduled Contact Hours: 36
Independent Learning Hours: 114
Assessment (For further details see the Module Guide) 001: 100% Coursework: Individual, portfolio: 2000 words or equivalent
Special Assessment Requirements
Indicative Resources The current reading list can be found in the Module Guide, which your lecturer should make available via Moodle.

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