CME8014 : Data Analysis and Reconciliation for Control (Inactive)
- Inactive for Year: 2020/21
- Module Leader(s): Dr Jie Zhang
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
Aims
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
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 24 | 1:00 | 24:00 | N/A |
| Guided Independent Study | Assessment preparation and completion | 30 | 1:00 | 30:00 | Assessment preparation |
| Scheduled Learning And Teaching Activities | Practical | 7 | 1:00 | 7:00 | Computer lab |
| Scheduled Learning And Teaching Activities | Small group teaching | 5 | 1:00 | 5:00 | Tutorials |
| Guided Independent Study | Independent study | 34 | 1:00 | 34:00 | Review lecture material and prepare for small group teaching |
| Total | 100:00 |
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
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Report | 2 | M | 100 | Assignment 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
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CME8014's Timetable