Course Details in 2025/26 Session

Module Title	LH Applied Statistics
School	Mathematics
Department	Mathematics
Module Code	06 30553
Module Lead	Nick Webber
Level	Honours Level
Credits	20
Semester	Full Term
Pre-requisites
Co-requisites
Restrictions	Available only to students on the Jinan Dual Degree programmes
Contact Hours	Lecture-44 hours Practical Classes and workshops-4 hours Supervised time in studio/workshop-24 hours Guided independent study-128 hours Total: 200 hours
Exclusions
Description	This module provides an introduction to a wide range of applicable statistical techniques. A unifying theme is the transferability of statistical ideas. Common features shared by different fields of enquiry enable the development of statistical methodologies with applications throughout science, industry and business. Examples from such fields inform every aspect of the module. Topics covered which exhibit this transferability will include survival analysis, in which there are only lower bounds on some data values, multi-factor and other generalised linear models, of use when the influences of many factors must be unravelled, data mining techniques, applying when it is desired to search out relationships and, last but certainly not least, the principles and consequences of good statistically designed studies.
Learning Outcomes	By the end of the module students should be able to: Understand statistical association; Plan data collection and analyse data appropriately; Appreciate the use of statistics in various subject areas; Analyse censored data and multi factor data; Appreciate statistical aspects in business and industry, and data mining
Assessment	30553-01 : Raw Module Mark : Coursework (100%)
Assessment Methods & Exceptions	Assessment: 3 hour examination (80%), work done during semester (20%) Reassessment: best of 3 hour resit examination (100%) or 3 hour resit examination (80%) and work done during the semester (20%)
Other	Delivery Location: Jinan University, China via Flying Faculty
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