MATH1840 Introduction to Statistical Modelling
10 Credits Class Size: 50
Module manager: C.C. Taylor
Email:
Taught: Semester 2 (Jan to Jun) View Timetable
Year running
2006/07
Co-requisites
MATH1715, MATH1725, MATH1815, MATH1825
This module is not approved as an Elective
Objectives
On completion of this module, students should be able to:
Appreciate the role of statistics and the need for modelling in informatics;
Make informed use of statistical software;
Summarise data by numbers, tables, or graphical displays, as appropriate;
Model univariate and bivariate data using simple probability models;
Syllabus
(i) Context: why study statistics?
(ii) Types of data (categorical vs. ordinal vs. numerical)
(iii) Processing data: means, medians, standard deviations
(iv) Visual data exploration: boxplots, histograms, scatter plots, estimates of probability distributions
(v) Dealing with data that is noisy, has erroneous values, or missing values
(vi) Probability; data distributions; skewness + data transformations
(vii) Descriptive vs. inferential statistics; hypothesis testing
(viii) Linear regressions; correlation
(ix) Errors: goodness of fit; outliers; mean square error
Teaching Methods
Lectures: 20 x 1 hour;
Practical classes: 3 x 1 hour
Private study
2 hours reading per lecture;
3 hours per practical;
15 hours problem sheets;
13 hours revision
Opportunities for Formative Feedback
5 homeworks (problem sheets);
2 practicals
Reading List
The reading list is available from the Library website
Last updated: 7/23/2007
Errors, omissions, failed links etc should be notified to the Catalogue Team