EPN-V2

ACIT4330 Mathematical Analysis Course description

Course name in Norwegian
Mathematical Analysis
Study programme
Master's Programme in Applied Computer and Information Technology
Weight
10.0 ECTS
Year of study
2022/2023
Curriculum
SPRING 2023
Schedule
Programme description
Course history

Introduction

The course focuses on the broad and rigorous approach necessary to do reliable research within the area of analysis and offers a deeper theoretical understanding that can supplement and be leveraged alongside the knowledge and skills from the previous two specialization courses (ACIT4310 Applied Computational and Mathematical Analysis and ACIT4321 Quantum Information Technology).

The course provides a perfect basis for any person who wants to venture into this area. It is also a springboard for functional analysis and operator algebras.

Recommended preliminary courses

A course in analysis at bachelor level is an advantage, preferably with some knowledge of real numbers, cardinality, metric spaces and uniform convergence.

Required preliminary courses

None.

Learning outcomes

A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of this course the student:

  • has basic knowledge of point set topology
  • has basic knowledge of measure theory
  • has basic knowledge of Fourier analysis
  • has basic knowledge of complex function theory

Skills

On successful completion of this course the student:

  • is able to prove some of the most fundamental results of mathematical analysis
  • is able to apply basic notions and results in proofs and derivations

General competence

On successful completion of this course the student:

  • is able to understand literature within these topics
  • can transfer with trust this understanding to own research.

Content

  • General topology, including locally compact Hausdorff spaces
  • Measure theory, including Riesz¿ representation theorem
  • Completeness of Lp spaces, product measures, and complex measures with the Radon- Nikodym theorem
  • Fourier analysis, including the inversion theorem
  • Complex function theory, including the Cauchy- and Liouville theorems, and harmonic functions

Lecturer might exclude or include topics depending on the students attending the course.

Teaching and learning methods

Lectures and tutored exercises.

Course requirements

None.

Assessment

Individual oral exam.

The oral exam cannot be appealed.

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New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

Permitted exam materials and equipment

No aids are permitted

Grading scale

Grade scale A-F.

Examiners

This course provides an overview over the most common services and components found in IT infrastructures in medium- to enterprise sized organizations and businesses. The services are focused around the internal functioning of the IT department such as backup, logging and configuration management as well as inventory and directory systems.

The courseis organized around weekly practical labs and lectures that complement each other. The student will get hands-on experience with the technologies as well as a holistic perspective on IT infrastructures.

Course contact person

Professor Lars Tuset