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Module

CME1027 : Data Analysis in Process Industries

  • Offered for Year: 2020/21
  • Module Leader(s): Dr Aamir Khan
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters
Semester 2 Credit Value: 5
ECTS Credits: 3.0

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 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

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
Structured Guided LearningLecture materials101:0010:00Recorded lecture Material
Guided Independent StudyAssessment preparation and completion110:0010:00Exam revision
Guided Independent StudyAssessment preparation and completion11:301:30Exam
Guided Independent StudyAssessment preparation and completion110:0010:00Coursework
Scheduled Learning And Teaching ActivitiesWorkshops61:006:00Synchronous tutorials
Guided Independent StudyIndependent study112:3012:30Review course material
Total50:00
Teaching Rationale And Relationship

Pre-recorded videos will be used in conjunction with textual material to introduce each topic and worked examples, in place of normal lectures. In-person classroom time will not be possible for this large group this year. Live (synchronous) on-line tutorials will be used to address student queries, with on-screen mathematical work.


Students should consult their individual timetable for up-to-date delivery information.

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

Exams
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 presenting data-intensive questions and testing the application of statistical techniques on these.

Reading Lists

Timetable