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CS4038: DATA MINING AND VISUALIZATION (2014-2015)

Last modified: 22 Jul 2014 15:49


Course Overview

This course aims to make students familiar with basic data mining and visualisation techniques and software tools. Students will learn how to analyse complex datasets by applying data pre-processing, exploration, clustering and classification, time series analysis, and many other techniques. This course will also cover text mining and qualitative modelling. Through this course students will be able to analyse real-world datasets in various domains and discover novel patterns from them. This course is particularly suitable for those who are interested in working as data analysts or data scientists in the future.



Course Details

Study Type Undergraduate Level 4
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Dr Wei Pang
  • Dr Chenghua Lin

Qualification Prerequisites

  • Either Programme Level 3 or Programme Level 4

What courses & programmes must have been taken before this course?

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

  • CS4031 Data Mining and Visualisation (Studied)

Are there a limited number of places available?

No

Course Description

  • Data Mining: basic statistics, advanced data analysis techniques such as trend detectors, pattern detectors, qualitative models, basic data mining techniques such as classification and clustering.
  • Visualization: information visualization (basic concepts, advanced techniques such as treemaps); supporting user variation (abillities, knowledge, preferences)
  • Applications to real world problems: for example, medical decision support, supporting analysis of genome data

Further Information & Notes

Assistive technologies may be required for any student who is unable to use a standard keyboard/mouse/computer monitor. Any students wishing to discuss this further should contact the School Disability Co-ordinator. To be taken as part of the BSc honours programme in Computing Science.

Degree Programmes for which this Course is Prescribed

  • BSc Computing Science and Physics

Contact Teaching Time

Sorry, we don't have that information available.

Teaching Breakdown


Assessment

1st Attempt: 1 two-hour written examination (75%); continuous assessment (25%).

Resit: One 2-hour examination (100%). Only the marks obtained at first attempt can be used for Honours classification.

Formative Assessment

During lectures, the Personal Response System and/or other ways of student interaction will be used for formative assessment. Additionally, practical sessions will provide students with practice opportunities and formative assessment.

Feedback

Formative feedback for in-course assessments will be provided in written form. Additionally, formative feedback on performance will be provided informally during practical sessions.

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