This module introduces students to the computer laboratory and statistical applications and which will support their learning during their programme of study. The module does not assume any experience of programming or statistical software packages and allows learners to become accustomed to the online learning platform of the University, the ICT resources of the School and the software that will be used in their modules (e.g. R). The module is practical and allows students to learn at their own pace.
Data Set Review
Assessing data relevance, determine if correct data is available, in an appropriate format and if the data set is representative. Recognising how and when to resolve inconsistencies in a data set using expert knowledge.
Probability Calculations
Perform probability calculations using logical operators.
Descriptive Statistics & Graphing
Describe a data set using descriptive statistics and standard graphical techniques.
Recode/Create Variables
Assess the number of attribute values, recode new variables from existing variables, categorise variables, create new variables using binning, clustering or aggregating existing variables.
Probability Distributions
Describe a data set using probability distributions.
Statistical Data Analysis
Design and conduct a statistical analysis on a data set.
Simulation
Design statistical experiments using simulation methods.
Regression Modelling
Build regression models.
A mix of live online software sessions supported by software development environment tools and pre-recorded video lectures.
| Module Content & Assessment | |
|---|---|
| Assessment Breakdown | % |
| Other Assessment(s) | 100 |