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2006/07 Undergraduate Module Catalogue

MATH1840 Introduction to Statistical Modelling

10 creditsClass Size: 50

Module manager: C.C. Taylor

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2006/07

This module is mutually exclusive with

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

Methods of assessment

75% hour examination;
25% continuous assessment

Reading list

The reading list is available from the Library website

Last updated: 23/07/2007

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