Mathematical Analysis IV

Course code

MLM6504.DT

old course code

Course title in Estonian

Matemaatiline analüüs IV

Course title in English

Mathematical Analysis IV

ECTS credits

4.0

Assessment form

Examination

lecturer of 2023/2024 Spring semester

Maria Zeltser (language of instruction:Estonian)

lecturer of 2024/2025 Autumn semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

Course aims

To introduce the basic properties of multiple, line and surface integrals. To develop basic skills in solving problems and to demonstrate different types of applications.

Brief description of the course

Integrals depending on parameter. Double and triple integrals, line and surface integrals, their properties and existence, evaluation and applications. Formulae of Green, Gauss and Stokes. The elements of field theory.

Learning outcomes in the course

Upon completing the course the student:

- knows mathematical truths and is able to use methods in volume of a subject;

- is able to prove and apply them.

- knows mathematical truths and is able to use methods in volume of a subject;

- is able to prove and apply them.

Teacher

Maria Zeltser

Prerequisite course 1

Study programmes containing that course

Mathematics, Mathematical Economics and Data Analysis (MLMB/24.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/23.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/23.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)