THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2021/2022

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: Introductory Probability and Statistics (MATH11203)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThe course content is delivered online, with 5 hours of optional drop-in workshop support sessions.

This course is an optional course for MScs OR, ORwCO, ORwR and CAM.

The course gives an introduction to Probability and Statistics.
Course description Probability
- Axioms; basic laws of probability.

Random variables
- properties; discrete and continuous distributions; central limit theorem.

Point and interval estimation
- Unbiased and consistent estimators; confidence intervals.

Hypothesis testing
- Type I and II errors; p-values; normal and t-tests.

Regression and correlation
- Correlation; linear regression; hypothesis tests; confidence intervals.

Introduction to practical R
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Students MUST NOT also be taking Probability and Statistics (MATH11008)
Other requirements Prohibited Combinations: MATH11008: Probability and Statistics or equivalent introductory course in Statistics

Availability - only available to students on the MSc programmes OR, ORwCO and ORwR.
Course Delivery Information
Academic year 2021/22, Not available to visiting students (SS1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Seminar/Tutorial Hours 5, Online Activities 25, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 68 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework : 100%
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. demonstrate a conceptual understanding of fundamental concepts of probability and be able to derive basic results from them
  2. explain their reasoning about probability clearly and precisely, using appropriate technical language.
  3. apply statistical techniques to simple problems.
  4. interpret the output from statistical analyses.
  5. use the statistical computer package R to perform a number of statistical analyses.
Reading List
Recommended, but not essential :
Devore and Berk (2012) Modern mathematical statistics with applications. 2nd edition. An electronic copy of Devore and Berk is available to download from the University Library.

Rice (1995) Mathematical statistics and data analysis. 2nd edition.

For additional R support :
Crawley (2013) The R Book An electronic copy of Crawley is available to download from the University Library.
Additional Information
Graduate Attributes and Skills Not entered
KeywordsIPS
Contacts
Course organiserDr Skarleth Carrales Escobedo
Tel:
Email: mcarrale@exseed.ed.ac.uk
Course secretaryMiss Gemma Aitchison
Tel: (0131 6)50 9268
Email: Gemma.Aitchison@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information