Probability Theory and Mathematical Statistics (UESTC) UESTC2012

  • Academic Session: 2024-25
  • School: School of Engineering
  • Credits: 14
  • Level: Level 2 (SCQF level 8)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No

Short Description

The objective of this course is to introduce the basic concepts of probability and statistics. It ranges from interpretation of probability, conditional probability, random variables and distributions, expectation, parameter estimation, to testing of hypotheses.

Timetable

Course will be delivered continuously in the traditional manner at UESTC.

Requirements of Entry

Mandatory Entry Requirements

None

Recommended Entry Requirements

None

Excluded Courses

None

Co-requisites

None

Assessment

Assessment

25% homework, 75% closed-book final exam (2 hours) 

Main Assessment In: December

Are reassessment opportunities available for all summative assessments? No

No

Due to the nature of the coursework and sequencing of courses, it is not possible to reassess the coursework.

The initial grade on coursework project will be used when calculating the resit grade.

Course Aims

This course aims to introduce basic concepts of probability theory and mathematical statistics, and to help the students apply probability distributions and statistical inferences to the analysis or the evaluations of real data. 

Intended Learning Outcomes of Course

By the end of this course students will be able to:

State the basic concepts of probability and statistics.

Select and apply appropriate techniques of probabilistic computations to random experiment.

Explain the link between probability theory and mathematical statistics.

Apply probability distributions to descriptive statistics of observable data.

Analyse random samples and make statistical inferences about hypothesises.

Design solutions for complex problems in statistical survey.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.