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CME1027 : Data Analysis in Process Industries

  • Offered for Year: 2021/22
  • Module Leader(s): Dr Cristiano Villa
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semester 2 Credit Value: 5
ECTS Credits: 3.0


To provide students with a fundamental understanding of the basic statistical techniques (summary statistics, probability distributions, interval estimation and regression analysis) routinely used in the chemical and process industries.

This module addresses a real area of practical applicability in the process and manufacturing industries. One area that has become increasingly important is that of statistics. This course provides the basis for all subsequent statistical modules by introducing the fundamental statistical tools to undertake a preliminary statistical analysis of any data. More specifically the course introduces basic statistical tools that enable data to be presented, described and interpreted in an appropriate and statistically robust manner.

Outline Of Syllabus

Introduction: Descriptive statistics;
Probability: probability theory; probability distributions (continuous and discrete); normal distribution; Statistical Inference and hypothesis testing: Sampling distributions and confidence intervals – One sample problems (mean, standard deviation, paired comparisons) and Two sample problems (comparison of means, ratio of variances);
Regression analysis: method of least squares.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion110:0010:00Exam revision
Guided Independent StudyAssessment preparation and completion11:301:30Exam
Scheduled Learning And Teaching ActivitiesLecture111:0011:00In person lectures
Structured Guided LearningAcademic skills activities17:007:00Tutorial questions
Structured Guided LearningAcademic skills activities11:001:00Minitab and excel walkthrough videos
Scheduled Learning And Teaching ActivitiesDrop-in/surgery61:006:00In-person drop-in tutorials
Guided Independent StudyIndependent study113:3013:30Review course material
Teaching Rationale And Relationship

In-person lectures convey the statistical concepts and theory and their application in process engineering. Tutorial questions will be supplied for students' to work through each week. Drop-in tutorials will be used to address student queries and aid understanding. Short video walkthroughs of Minitab and excel will help demonstrate how to use software to carry out data analysis.
Alternative arrangements: should the public health situation require a move away from in-person activities, the lectures will be delivered asynchronously online through short videos. Drop-in tutorials will be delivered through synchronous video calls with mathematical working done on a virtual whiteboard.

Assessment Methods

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

Description Length Semester When Set Percentage Comment
Written Examination902A100N/A
Assessment Rationale And Relationship

The examination enables the assessment of whether the students have understood the methodologies and whether they are sufficiently conversant with the application of the techniques to real world scenarios.
The written statistics assessment in Semester 2 is appropriate for testing the application of statistical techniques to engineering based problems.
Should the public health situation require a move away from in-person examinations, a take-home alternative will be supplied.

Reading Lists