Course Details in 2028/29 Session


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Module Title LH Measure Theory and Functional Analysis
SchoolMathematics
Department Mathematics
Module Code 06 41668
Module Lead Simon Goodwin
Level Honours Level
Credits 20
Semester Full Term
Pre-requisites
Co-requisites
Restrictions None
Contact Hours Lecture-40 hours
Practical Classes and workshops-10 hours
Guided independent study-150 hours
Total: 200 hours
Exclusions
Description This module provides an exploration of Lebesgue integration including measure theory, integration on measure spaces, and convergence theorems. The module emphasizes the advantages of Lebesgue integration over Riemann integration and its significance in various areas of mathematics. The module progresses to cover key concepts in functional analysis, such as normed spaces, Banach spaces, Hilbert spaces, and linear operators. The theory is developed and moves on to cover bounded linear operators and their spectral theory.
Learning Outcomes By the end of the module students should be able to:
  • Understand the principles of measure theory and their significance in Lebesgue integration.
  • Apply Lebesgue integration techniques to solve mathematical problems.
  • Analyze convergence theorems and their applications in integration.
  • Understand the fundamental concepts of normed spaces, Banach spaces, and Hilbert spaces.
  • Apply functional analysis techniques to solve problems involving linear operators and functional spaces.
  • Analyze the properties and applications of bounded linear operators and spectral theory.
Assessment
Assessment Methods & Exceptions Assessment:

2hr examination (80%)
In-course assessment (20%)

Reassessment:

Resit exam
Other
Reading List