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MAS2906 : Computational Probability and Statistics with R

  • Offered for Year: 2022/23
  • Module Leader(s): Dr Lee Fawcett
  • Owning School: Mathematics, Statistics and Physics
  • Teaching Location: Newcastle City Campus
Semester 1 Credit Value: 10
ECTS Credits: 5.0


To introduce and reinforce a range of concepts in probability and statistics with particular emphasis on illustrations in R, including methods that will be useful towards future project work. To reinforce the computing in R studied within MAS1608, and to move towards expectations of more independent programming.

Module summary

Computational methods are of great use in a wide range of applications of probability and statistics. This module builds on the probability and the use of R introduced at Stage 1. Students will be introduced to additional concepts and techniques, some of increasing mathematical and computational sophistication. In implementing these methods, students will attain a deeper understanding of foundational probability and statistics, increasing competence with mathematical/statistical computing, and an increasing ability to use such methods independently, towards project-orientated goals.

Outline Of Syllabus

Review of basic ideas in R: Vector and dataframe subsetting and manipulation, data summaries, functions and control statements. Review of probability ideas: illustrations of properties of univariate, bivariate and trivariate distributions in R, including use of conditional distributions. Transformations of random variables, with illustrations in R. Sampling distributions. Illustration of properties of hypothesis tests and confidence intervals.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion471:0047:00Preparation time for lectures, background reading, coursework review
Scheduled Learning And Teaching ActivitiesLecture111:0011:00Formal Lectures – Present in Person
Scheduled Learning And Teaching ActivitiesPractical111:0011:00Computer Practicals – Present in Person
Scheduled Learning And Teaching ActivitiesPractical111:0011:00Problem Classes – Synchronous On-Line
Scheduled Learning And Teaching ActivitiesDrop-in/surgery51:005:00Synchronous On-Line
Guided Independent StudyIndependent study151:0015:00Completion of in course assessments
Teaching Rationale And Relationship

Practicals are used for the delivery of theory and explanation of methods, illustrated with examples, and for giving general feedback on marked work. Problem Classes are used to help develop the students’ abilities at applying the theory to solving problems.

Assessment Methods

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

Description Length Semester When Set Percentage Comment
Written Examination1201A50Off-campus test
Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises1M25Problem-solving exercises
Prob solv exercises1M25Problem-solving exercises
Assessment Rationale And Relationship

A substantial class test is appropriate for the assessment of the material in this module. The coursework assignments allow the students to develop their problem solving techniques, to practise the methods learnt in the module, to assess their progress and to receive feedback; these assessments have a secondary formative purpose as well as their primary summative purpose.

Reading Lists