STP80130 – Multivariate Analysis

Module CodeSTP80130
Module Name Multivariate Analysis
ECTS Weighting [1]5 ECTS
Semester TaughtSemester 2
Module Coordinator/s  Dr Emma Howard

Module Learning Outcomes

On successful completion of this module, students will be able to:

  1. Define and describe various classical dimension reduction techniques for multivariate data.
  2. Implement clustering algorithms and assess and compare the results.
  3. Implement classification algorithms and assess and compare the results.
  4. Implement and interpret output of data analysis performed by R.

Module Content

Topics covered in this module are:

  • Principal Components Analysis
  • Multidimensional Scaling
  • K-Nearest Neighbours
  • Discriminant Analysis
  • Hierarchical Clustering
  • K-means Clustering
  • R as applied to multivariate analysis

Teaching and Learning Methods

This module is taught over 4 weekly sessions (weeks 9-12 of the TCD Hilary Teaching Term). The module content is taught through online videos. All content is available through Blackboard. Each week will also feature a one hour synchronous online tutorial and a one hour synchronous R software lab. These will be taught by the module lecturer and/or teaching assistant.

Assessment Details

Assessment ComponentBrief Description Learning Outcomes Addressed% of TotalWeek SetWeek Due
Continuous AssessmentIndividual projectL01-L0480%N/AN/A
Continuous AssessmentSession quizzesL01-L0320%N/A N/A

Reassessment Details

Reassessment is a take-home exam (5hrs duration).

Contact Hours and Indicative Student Workload

Contact Hours (Video Material):10 hours
Contact Hours (Online tutorials and software labs):8 hours
Independent study (outside scheduled contact hours), broken down by:100 hours
Total Hours116 hours
All content will be delivered online (mix of synchronous and asynchronous formats).

Recommended Reading List

Material will be provided as needed. Further reading material will be recommended for each session.

Module Pre-requisites

Prerequisite modules:

Other/alternative non-module prerequisites: N/A

Module Co-requisites

N/A

Module Website

Blackboard