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ME306: Real Analysis

Subject Area: Research Methods, Data Science, and Mathematics

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Course details

  • Department
    Department of Mathematics
  • Application code
    SS-ME306
Dates
Session oneNot running in 2024
Session twoOpen - 8 Jul 2024 - 26 Jul 2024
Session threeNot running in 2024

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Overview

Real Analysis is an area of mathematics that was developed to formalise the study of numbers and functions and to investigate important concepts such as limits and continuity.

These concepts underpin calculus and its applications. Real Analysis has become an indispensable tool in a number of application areas. In particular, many of its key concepts, such as convergence, compactness and convexity, have become central to economic theory.

This course covers the main aspects of real analysis: convergence of sequences and series and key concepts, including completeness, compactness and continuity, from the particular settings of real numbers and Euclidean spaces to the much more general context of metric spaces.

The course is particularly suitable for students who want to bolster their mathematical background as preparation for postgraduate study in economics and related areas and for professionals who want to follow recent developments in economic theory.

Key information

Prerequisites: Courses on multivariate calculus and linear algebra, both at intermediate level. In addition, students need to be familiar with methods of proofs and basic set theory. The course will begin with a brief review of this material. 

Level: 300 level. Read more information on levels in our FAQs

Fees: Please see Fees and payments

Lectures: 36 hours

Classes: 18 hours

Assessment: A midsession exam during the second week of the course and a comprehensive final exam on the Friday of the third week.

Typical credit: 3-4 credits (US) 7.5 ECTS points (EU)

Please note: Assessment is optional but may be required for credit by your home institution. Your home institution will be able to advise how you can meet their credit requirements. For more information on exams and credit, read Teaching and assessment

Is this course right for you?

This course will suit you if you want to develop your mathematical skills. You will learn how to do rigorous proofs and you will understand the key concepts of Real Analysis. These concepts play a central role in Economic Theory and in other domains. 

Outcomes

After completing this course, students will:

  • Have gained a thorough grounding in modern Real Analysis, including key concepts such as convergence, continuity, completeness and compactness
  • Be able to comprehend and critically reflect on mathematical statements and their proofs and to write their own formal proofs of mathematical results
  • Have developed a higher capacity for abstract and rigorous mathematical reasoning
  • Be well-equipped to study advanced applications of Real Analysis in disciplines such as Economics

Content

Colin Means, USA

The course was challenging and intensive, but this also made it incredibly rewarding.

Faculty

The design of this course is guided by LSE faculty, as well as industry experts, who will share their experience and in-depth knowledge with you throughout the course.

Johannes Ruf

Professor Johannes Ruf

Professor of Mathematics

Christoph Czichowsky

Dr Christoph Czichowsky

Associate Professor

Department

LSE’s Department of Mathematics is internationally-recognised for its teaching and research. Located within a world-class social science institution, the Department aims to be a leading centre for Mathematics in the social sciences. The Department has more than doubled in size in recent years, and this growth trajectory reflects the increasing impact that mathematical theory and techniques are having on subjects such as economics, finance and many other areas of the social sciences.

Students will engage with world-leading faculty and be exposed to cutting-edge research in the field, at the forefront of the intersection between mathematics and its use in other social science disciplines to solve global problems. This ensures that students within the department are equipped with the necessary analytical skills to tackle important mathematical challenges in a variety of sectors.

Apply

Applications are open

We are accepting applications. Apply early to avoid disappointment.