- Module code: ST911
- Module name: Fundamentals of Modern Statistical Inference
- Department: Statistics
- Credit: 15
Module content and teaching
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
Other essential notes
Please note that this module is not available to taught MSC Taught Statistics students.
|Assessment group||Assessment name||Percentage|
|15 CATS (Module code: ST911-15)|
|A (Assessed work only)||Assessed Course Work||50%|
|Assessed Course Work||50%|
This module is available on the following courses:
- Postgraduate Taught Mathematics (G1P0) - Year 2
- Postgraduate Taught Mathematics (Diploma plus MSc) (G1PC) - Year 2
- Postgraduate Taught Interdisciplinary Mathematics (Diploma plus MSc) (G1PD) - Year 2