Content and teaching | Assessment | Availability

Module content and teaching

Principal aims

This module will provide an introduction to formal statistical inference, and computationally intensive methods. It is intended for students with a very strong mathematical background.

Principal learning outcomes

(a) Understand key ideas of parameter estimation. b) Understand how to apply Statistical tools in various applied problems. c) Develop suitable strategies for the extraction of parameters from data sets.

Timetabled teaching activities

Lectures per week: 3 hours, Classwork sessions: 1 hour per fortnight, Module duration: 10 weeks, Total contact hours: 35, Private study and group working: 90

Departmental link

http://www2.warwick.ac.uk/fac/sci/masdoc/current/msc-modules/st911

Other essential notes

Please note that this module is not available to taught MSC Taught Statistics students.

Module assessment

Assessment group	Assessment name	Percentage
15 CATS (Module code: ST911-15)
A (Assessed work only)	Oral examination	50%
	Essay (20 pages)	50%

Module availability

This module is available on the following courses:

Core

N/A

Optional Core

• Postgraduate Taught Mathematics and Statistics (G3G2) - Year 1

Optional

• Postgraduate Taught Mathematics (G1P0) - Year 1
• Postgraduate Taught Mathematics (G1P0) - Year 2
• Postgraduate Taught Interdisciplinary Mathematics (G1P9) - Year 1
• Postgraduate Taught Mathematics (Diploma plus MSc) (G1PC) - Year 1
• Postgraduate Taught Mathematics (Diploma plus MSc) (G1PC) - Year 2
• Postgraduate Taught Interdisciplinary Mathematics (Diploma plus MSc) (G1PD) - Year 1
• Postgraduate Taught Interdisciplinary Mathematics (Diploma plus MSc) (G1PD) - Year 2
• Postgraduate Research Mathematics of Systems (G1PG) - Year 1