CME8014 : Data Analysis and Reconciliation for Control

Semester 2 Credit Value: 10
ECTS Credits: 5.0


To provide an understanding of the use of data analysis methods relevant to the process industries.

This module provides an introduction to linear and nonlinear data analysis techniques and data reconciliation techniques relevant to the process industries.

Outline Of Syllabus

Data gathering, Data conditioning, Graphical techniques (e.g. Scatter and Box-Whisker plots), Correlation techniques, Linear regression (Single and Multi-variate), Principal Component Analysis, Principal Component Regression, Partial least Square Regression, Non-linear regression, Quality of estimates (Confidence bounds, standard errors, Hypothesis tests, Analysis of variance), Model validation, Data reconciliation. Application of techniques to real problems. Inferential Measurement.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion301:0030:00Assessment preparation
Scheduled Learning And Teaching ActivitiesLecture241:0024:00N/A
Scheduled Learning And Teaching ActivitiesPractical71:007:00Computer lab
Scheduled Learning And Teaching ActivitiesSmall group teaching51:005:00Tutorials
Guided Independent StudyIndependent study341:0034:00Review lecture material and prepare for small group teaching
Teaching Rationale And Relationship

Lectures convey the underlying principles of data analysis, data modelling, and data reconciliation. Computing laboratories aid the understanding of materials taught in the lectures. Tutorials address the problem in understanding the taught material on individual basis.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report2M100Assignment 20-40 pages. Issued week 1 semester 2
Assessment Rationale And Relationship

The assignment enables more realistic engineering problems to be set and the knowledge and skill learnt to be assessed fully.

Reading Lists