# CME1027 : Data Analysis in Process Industries

• Offered for Year: 2024/25
• Module Leader(s): Dr Aleksandra Svalova
• Owning School: Engineering
• Teaching Location: Newcastle City Campus
##### Semesters

Your programme is made up of credits, the total differs on programme to programme.

 Semester 2 Credit Value: 5 ECTS Credits: 3.0 European Credit Transfer System

#### Aims

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, process, and engineering industries.

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
Regression analysis: method of least squares.

#### Teaching Methods

##### Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion11:301:30Exam
Scheduled Learning And Teaching ActivitiesLecture111:0011:00Lectures
Guided Independent StudyAssessment preparation and completion110:0010:00Exam revision
Structured Guided LearningAcademic skills activities11:001:00Excel walkthrough videos
Structured Guided LearningAcademic skills activities17:007:00Tutorial questions
Scheduled Learning And Teaching ActivitiesPractical11:001:00Computer practical
Scheduled Learning And Teaching ActivitiesDrop-in/surgery51:005:00Drop-in tutorials
Guided Independent StudyIndependent study113:3013:30Review course material
Total50:00
##### 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 Excel will help demonstrate how to use software to carry out data analysis.

#### Assessment Methods

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

##### Exams
Description Length Semester When Set Percentage Comment
Written Examination902A90Statistics exam, in person
##### Exam Pairings
Module Code Module Title Semester Comment
Mathematical Modelling & Statistical Methods For Engineering2N/A
##### Other Assessment
Description Semester When Set Percentage Comment
Written exercise2M10Assignment 1 (approx. 4-5 pages)
##### 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.