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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
- 29 March 2027
- Lund
- 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>
Admission scores
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
- 2027-03-29
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.matb33.52504.20271
- 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
Study structure
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- Programme or course starts
- Programme or course ends
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Previous upper-secondary schools and programmes
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About the provider
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.matb33.52504.20271
- Offering identity in the source
- e.uoh.lu.matb33.52504.20271
- Education-form source code
- HS
- Education code in the source
- MATB33
- Change time according to the source
- 2026-07-06T16:48:27
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.