Course syllabus

Flerdimensionell analys med vektoranalys
Calculus in Several Variables

FMA435, 7,5 credits, G1 (First Cycle)

Valid for: 2012/13
Decided by: Education Board 1
Date of Decision: 2011-03-23

General Information

Main field: Technology.
Compulsory for: Pi1
Language of instruction: The course will be given in Swedish


The course aims at giving a basic treatment of calculus in several variables, including three-dimensional vector analysis. Particular emphasis is put on the role which calculus in several variables plays in applications in different subjects of technology, in order to give the future engineer a good foundation for further studies in mathematics as well as other subjects. The aim is furthermore to develop the student's ability in problem solving and to assimilate mathematical text.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

be able to compute with and handle elementary functions of several variables within the framework of the course, together with their derivatives and integrals, with confidence.

be familiar with different representations of curves, surfaces and volumes in two and three dimensions, and be able to use them in computations.

be able to carry out (specified) changes of variables in partial differential equations, and by this means to solve such equations.

be familiar with the theory of optimization, local as well as global, and be able to find the solution in simple cases.

be able to demonstrate an ability to independently choose methods to evaluate double and triple integrals, and be able to carry out the solution essentially correct.

be able to demonstrate an ability to independently choose methods to evaluate curve and surface integrals, and be able to carry out the solution essentially correct.

be familiar with the important theorems of vector analysis, and have an understanding of their physical interpretation.

be able to demonstrate a good ability to carry out algebraic calculations within the context of the course.

be able to give a general account of, and to illustrate the meaning of, such mathematical concepts in calculus in several variables that are used to construct and study mathematical models in the applications.

be able to account for the contents of some central definitions, theorems and proofs.

Competences and skills
For a passing grade the student must

in the context of problem solving, be able to demonstrate an ability to independently choose and use mathematical concepts and methods within calculus in several variables.

in the context of problem solving be able to integrate concepts from different parts of the course.

be able to demonstrate an ability to construct and analyse some simple mathematical models in calculus in several variables.

be able to demonstrate an ability to explain mathematical reasoning in a structured and logically clear way.

have a basic ability to use Maple for visualisation and formula manipulation, and be aware of its possibilities and limitations.


Part 1. Calculus in several variables

Generalities on functions of several variables. function surfaces, level surfaces, surfaces in parameter form, curvilinear coordinates.

Partial derivatives. Differentiability, tangent planes, error propagation. The chain rule. Applications to partial differential equations. Gradient, directional derivative, level curves. Study of stationary points. Curves, tangent, arc length. Surfaces, normal direction, tangent plane. Functional (Jacobi) matrix and determinant, linearisation. Implicit functions.

Optimization on compact and non-compact domains. Optimization with constraints.

Double and triple integrals.  Iterated integration. Change of variables. Integration using level curves. Improper integrals. Applications: volume, moment of inertia, centre of gravity.

Curve integrals. Green's formula with applications. Potential and exact differential.

Computer work. Visualization and formula manipulation using Maple.

Part 2. Threedimensional vector analysis

Surface integrals. Flow integrals. Divergence and rotation. Gauss' and Stokes' theorems. Potential and exact differential. The continuity equation.

Examination details

Grading scale: TH
Assessment: In the first subcourse a written test comprising theory and problem solving. (This test is identical to the one given for the course FMA430). In the second subcourse a written test. The final grade is the grade obtained in the first test. Computer work.

Code: 0108. Name: Calculus in Several Variables.
Credits: 6. Grading scale: TH. Assessment: Written test comprising theory and problem solving. The test is identical to the one given for the course FMA430. Contents: See part 1 above. (Coinciding with the contents of the course FMA430.)
Code: 0208. Name: Three-dimensional Vector Analysis.
Credits: 1,5. Grading scale: UG. Assessment: Written test in the middle of the study period. Retakes in appropriate examination periods. Contents: See part 2 above.
Code: 0308. Name: Computer Work.
Credits: 0. Grading scale: UG.


Required prior knowledge: FMAA01 or FMAA05, Calculus in One Variable, FMA420 Linear Algebra.
The number of participants is limited to: No
The course overlaps following course/s: FMA025, FMA430, FMAF15

Reading list

Contact and other information

Course coordinator: Studierektor Anders Holst,
Course homepage: