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MATH41220: Analysis

It is possible that changes to modules or programmes might need to be made during the academic year, in response to the impact of Covid-19 and/or any further changes in public health advice.

Type Tied
Level 4
Credits 20
Availability Available in 2023/24
Module Cap None.
Location Durham
Department Mathematical Sciences

Prerequisites

  • Prior knowledge of Complex Analysis and Anaysis in Many Variables at undergraduate level.

Corequisites

  • None

Excluded Combinations of Modules

  • None

Aims

  • To provide the student with basic ideas of measure, integration, and their applications

Content

  • Set theory.
  • Analysis of subsets of the real line.
  • Advanced concepts in continuity.
  • Measure theory.
  • Integration.
  • Convergence theorems.
  • Banach and Hilbert spaces.
  • Harmonic analysis.
  • Reading material on special topics in real analysis.

Learning Outcomes

Subject-specific Knowledge:

  • By the end of the module students will:
  • be able to solve novel and/or complex problems in Analysis.
  • have a systematic and coherent understanding of theoretical mathematics in the field of Analysis.
  • have acquired a coherent body of knowledge of these subjects demonstrated through one or more of the following topic areas:
  • Topology.
  • Measure theory.
  • Functional analysis.

Subject-specific Skills:

  • Students will have highly specialised and advanced mathematical skills which will be used with minimal guidance in the following areas: Analysis.
  • Ability to read independently to acquire knowledge and understanding in special topics in real analysis.

Key Skills:

  • Students will have enhanced problem solving and abstract reasoning skills.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Lectures demonstrate what is required to be learned and the application of the theory to practical examples.
  • Subject material assigned for independent study develops the ability to acquire knowledge and understanding without dependence on lectures.
  • Assignments for self-study develop problem-solving skills and enable students to test and develop their knowledge and understanding.
  • Formatively assessed assignments provide practice in the application of logic and high level of rigour as well as feedback for the students and the lecturer on students' progress.
  • The end-of-year examination assesses the knowledge acquired and the ability to solve predictable and unpredictable problems.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures422 per week for 20 weeks and 2 in term 31 Hour42 
Problems Classes8Four in each of terms 1 and 21 Hour 8 
Preperation and Reading150 
Total200 

Summative Assessment

Component: ExaminationComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
Written examination3 Hours100 

Formative Assessment

Eight written or electronic assignments to be assessed and returned. Other assignments are set for self-study and complete solutions are made available to students.

More information

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