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Regular version of the site
2021/2022

Research Seminar "Geometric Foundations of Analysis"

Type: Optional course (faculty)
When: 1, 2 module
Open to: students of one campus
Instructors: Andrey Levin
Language: English
ECTS credits: 6
Contact hours: 60

Course Syllabus

Abstract

We introduce and study the basic notions of analysis: metric spaces, continuity, differentiation and integration. We also prove some applications, such as the mean value theorem, and Cauchy inequality.
Learning Objectives

Learning Objectives

  • The goal of the course is to teach the students to handle the basic notions of analysis: metric spaces, continuity, differentiation and integration.
Expected Learning Outcomes

Expected Learning Outcomes

  • The students learn the mean value theorem and its applications
  • The students learn the notion of absolutely convergent series
  • The students learn the notion of compactness
  • The students learn the notion of complete metric spaces
  • The students learn the notion of continuous maps
  • The students learn the notion of differentiation
  • The students learn the notion of integration
  • The students learn the notion of metric spaces
Course Contents

Course Contents

  • Metric spaces
  • Continuous maps
  • Integration
  • The mean value theorem
  • Derivatives
  • Absolutely convergent series
  • Compactness
  • Complete metric spaces
Assessment Elements

Assessment Elements

  • non-blocking home assignments
  • non-blocking midterm
  • non-blocking final exam
Interim Assessment

Interim Assessment

  • 2021/2022 2nd module
    0.5 * midterm + 0.5 * home assignments
Bibliography

Bibliography

Recommended Core Bibliography

  • Rudin, W. (1976). Principles of mathematical analysis.

Recommended Additional Bibliography

  • V. A. Zorich. (2016). Mathematical Analysis I (Vol. 2nd ed. 2015). Springer.