ED1110 Vector Analysis 4.5 credits


The purpose of the course is to provide an understanding of the basic relations of vector analysis, to demonstrate practical applications of vector analysis and to train the student in problem formalization and in methods of solution.

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Offering and execution

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Course information

Content and learning outcomes

Course contents *

• basic vector algebra
• differentiation and integration of vector-valued functions in Cartesian, cylindrical and spherical coordinate systems
• the gradient and the directional derivative
• the potential
• line integrals and surface integrals
• Gauss' and Stoke's theorems
• the nabla operator and index notation
• integral theorems
• curvilinear coordinate system
• important vector fields and integration of these
• the equations of Laplace and Poisson.

Intended learning outcomes *

Having passed the course, the student should be able to:
• apply vector algebra and use the gradient of scalar field to solve elementary problems in physics
• carry out line, surface and volume integration as well as differentiation of scalar and vector fields
• interpret the divergence and the curl physically and apply these operators to carry out surface and line integration by means of Gauss and Stoke's theorems
• identify the most appropriate coordinate system for a given problem and apply the gradient, the divergence and the curl in the selected coordinate system
• use nabla operator and index notation to simplify and carry out vector analysis calculations
• solve Poisson's equation with appropriate boundary conditions for problems with cylindrical and spherical symmetries

in order to obtain understanding of vector analysis relationships, to demonstrate practical applications of vector analysis as well as to provide training in problem formulation and solution methods.

Course Disposition

The course employs learning focused pedagogy with goal oriented lectures.

Literature and preparations

Specific prerequisites *

No information inserted

Recommended prerequisites

Vector algebra; addition and subtraction of vectors, scalar product, projection of vectors, cross product.

Basic mathematical analysis in one and multiple variables.


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L. Frassinetti och J. Scheffel, Vektoranalys, Libers förlag, 2019.
A. Ramgard, Vektoranalys.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale *

A, B, C, D, E, FX, F

Examination *

  • TENA - Exam, 4.5 credits, Grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Continuous examination is used. It consists of home assignments as well as individual assignments and group assignments during class room tutorials. Final, written examination is also given (necessary for higher grades).
In agreement with KTH´s coordinator for disabilities, it is the examiner who decides to adapt an examination for students in possession of a valid medical certificate. The examiner may permit other examination forms at the re-examination of few students.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Jan Scheffel

Lorenzo Frassinetti

Ethical approach *

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web ED1110

Offered by

EECS/Electrical Engineering

Main field of study *

Electrical Engineering, Technology

Education cycle *

First cycle

Add-on studies

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Lorenzo Frassinetti

Supplementary information

In this course, the EECS code of honor applies, see: