Measure, Integration and Probability - MATH5825

   
   
   
 
Campus: Kensington Campus
 
 
Career: Postgraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 3
 
 
Fee Band: 2 (more info)
 
 
Further Information: See Class Timetable
 
 

Description


Measure Theory is a part of Mathematics that provides foundation for the advanced theory of integration, probability theory, ergodic theory, harmonic analysis, statistics and other branches of Mathematics. The course covers the construction of measures and the corresponding theories of integration that are suitable for various problems arising in applied Sciences; the laws of large numbers such as the Strong Law of large Numbers and the Central Limit Theorem. The course also provides foundation for applications of measure theory in other branches of Pure Mathematics.