Module Catalogues, Xi'an Jiaotong-Liverpool University   
 
Module Code: CEN902
Module Title: Statistical Methods
Module Level: Level 4
Module Credits: 0.00
Academic Year: 2019/20
Semester: SEM2
Originating Department: Civil Engineering
Pre-requisites: N/A
   
Aims
This module aims to provide the fundamental knowledge of statistical science required for research in the engineering disciplines.


The module is open and can be taken by all Master’s students to partially fulfill the requirements for Additional Learning Activities.
Learning outcomes 
A Gain knowledge of the three major types of statistical analysis used in engineering research – Descriptive statistics, Inferential statistics, Predictive statistics

B Appraise the various statistical methods used for data analysis, hypothesis testing and statistical modelling.

C Evaluate the suitability and applicability of the various statistical methods for given engineering problems.

D Apply statistical theory in the analysis of engineering data.

E Ability to analyse data, extract qualitative and quantitative information and present key elements of the analysis in a written report.

Method of teaching and learning 
Learning and teaching is achieved through formal lectures and practical classes associated with each lecture.
Syllabus 
Every lecture described in the Syllabus below is accompanied by a corresponding practical session.

1) Basic descriptive statistics (2 lectures): Measurement theory, Data distribution, Central tendency, Measurements of dispersion (sample and population), Precision and accuracy, Central limit theorem.

2) Inferential Statistics (2 lectures): Frequency distribution, The normal curve, Null hypothesis testing, Errors in hypothesis testing, Power of a statistical test, T-test.

3) Predictive Statistics (2 lectures): Discrete random variables and probability distributions, Continuous random variables and probability distributions.

Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 12    12      51  75 

Assessment

Sequence Method % of Final Mark
1 Data Analysis 40.00
2 Module Report 60.00

Module Catalogue generated from SITS CUT-OFF: 12/7/2019 7:04:27 PM