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Lund University

Mathematics: Introduction to Higher Analysis

<p>The course is a compulsory course given in the second semester's studies within the Bachelor's programme in mathematics and is intended to be read in parallel with a course in analysis in several variables. The course can also be given as a stand-alone course or as part of a course package. The overarching goal o…

  • Higher education
  • Information unavailable
  • 23 March 2026
  • Information unavailable
  • Information unavailable
  • 50 %

Overview

<p>The course is a compulsory course given in the second semester's studies within the Bachelor's programme in mathematics and is intended to be read in parallel with a course in analysis in several variables. The course can also be given as a stand-alone course or as part of a course package. The overarching goal of the course is for students to develop understanding of central concepts, results and methods of relevance for further studies that involve mathematical analysis. Additionally, the course aims to expose students to research literature in mathematics.</p><p>The course treats:</p> <ul> <li>Properties of the real numbers R: completeness axiom, Cauchy sequences, cardinality of rational and irrational numbers.</li> <li>Topology in Rn: open and closed sets, p-norms, convergence, compactness and the Bolzano-Weierstrass theorem, connected sets.</li> <li>Continuous functions in Rn: intermediate value theorem, min-max theorem, uniform continuity, continuity of inverse functions, implicit function theorem.</li> <li>Convergence of sequences and series of functions: pointwise, absolute and uniform convergence, termwise differentiation and integration, power series.</li> <li>Examples of applications to selected topics relevant to mathematical research at the Centre for mathematical sciences.</li> </ul><p>https://www.maths.lu.se/english/education/</p>

Admission scores

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Entry requirements

Admission to the course requires at least 30 credits in mathematics including knowledge corresponding to MATA31 Analysis in One Variable, 15 credits, MATA32 Algebra and Vector Geometry, 7.5 credits and NUMA01 Computational Programming with Python, 7.5 credits.

The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.

Source, measure and data quality
Source
Skolverket Susa-navet
Period
2026-03-23
Measure
Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
Population
Education offering e.uoh.lu.matb33.52506.20261
Last checked
2026-09-23T10:38:33.477975+00:00
Limitation
Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.

Programme content

Uppgift saknasVerified data is not connected to this education offering.

Study structure

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Application and important dates

  1. Programme or course starts
  2. Programme or course ends

Salary and salary distribution

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Common occupations after graduation

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Students

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Geographical background

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Previous upper-secondary schools and programmes

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Completion and outcomes

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About the provider

Lund University

Provider for the published education offering.

Sources and data quality

Education facts for the selected offering come from Skolverket Susa-navet.

Retrieved . Published . Times are shown in Swedish local time.

Source identity and publication version
Publication version
8e217193-f5fa-4778-b085-a4521fd03e8d
Education identity in the source
i.uoh.lu.matb33.52506.20261
Offering identity in the source
e.uoh.lu.matb33.52506.20261
Education-form source code
HS
Education code in the source
MATB33
Change time according to the source
2025-07-09T12:36:27

The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.