Course syllabus for Multivariable analysis

The course syllabus contains changes
See changes

Course syllabus adopted 2019-02-07 by Head of Programme (or corresponding).

Overview

  • Swedish nameFlervariabelanalys
  • CodeTMA044
  • Credits7.5 Credits
  • OwnerTKELT
  • Education cycleFirst-cycle
  • Main field of studyMathematics
  • DepartmentMATHEMATICAL SCIENCES
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language Swedish
  • Application code 50135
  • Open for exchange studentsNo
  • Only students with the course round in the programme overview.

Credit distribution

0114 Laboratory 1.5 c
Grading: UG		1.5 c
0214 Examination 6 c
Grading: TH		6 c
  • 28 Okt 2020 pm J
  • 04 Jan 2021 am J
  • 27 Aug 2021 am J

In programmes

Examiner

Go to coursepage (Opens in new tab)

Course round 2

  • Teaching language Swedish
  • Application code 99231
  • Maximum participants20
  • Open for exchange studentsNo
  • Only students with the course round in the programme overview.

Credit distribution

0114 Laboratory 1.5 c
Grading: UG		1.5 c
0214 Examination 6 c
Grading: TH		6 c

    Examiner

    Go to coursepage (Opens in new tab)

    Eligibility

    General entry requirements for bachelor's level (first cycle)
    Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

    Specific entry requirements

    The same as for the programme that owns the course.
    Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

    Course specific prerequisites

    Calculus in one variable and Linear algebra. The student should also have basic knowledge of Matlab and ability to use Matlab in problem solving in Calculus and Linear algebra.

    Aim

    The purpose of the course is to, together with the other math courses in the program, provide a general knowledge in the mathematics required in further studies as well as in the future professional career.

    Learning outcomes (after completion of the course the student should be able to)

    - account for the basic concepts and calculations of multivariable analysis, perform the operations and use this knowledge in problem solving.
    - account for the connections between the different concepts and use these connections in problem solving.
    - use and combine different concepts in problem solving.
    - use the software MATLAB in problem solving.

    More detailed learning outcomes are found in course-PM, see the course home page.

    Content

    Functions from Rn to Rm, curves and surfaces.
    Limits, continuity, partial derivatives, differentiability, the chain rule, gradients, directional derivatives, tangent lines/planes, differentials.
    Jacobian matrices/determinants.
    Extreme values, optimisation on compact domains, optimisation with constraints, Lagrange multipliers. Numerical methods for optimisation.
    Multiple integration, improper integrals.
    Polar och spherical coordinates, change of variables in double and triple integrals.
    Some applications: volumes, center of mass, area of surfaces.
    Lineintegrales and Green's theorem.
    Surface and flux integrals, divergence and curl, Gauss' divergence theorem, Stokes's theorem.
    Short introduction to partial differential equations: the Laplace and wave equations.
    Numerical methods for problem solving using Matlab.

    Organisation

    Instruction is given in lectures and classes. More detailed information will be given on the course web page before start of the course:
    http://www.chalmers.se/math/SV/utbildning/grundutbildning-chalmers/arkitekt-och/elektroteknik

    Literature

    Literature will be written at the course web page
    http://www.chalmers.se/math/SV/utbildning/grundutbildning-chalmers/arkitekt-och/elektroteknik
    before the start of the course

    Examination including compulsory elements

    More detailed information of the examination will be given on the course web page before start of the course.
    Examples of assessments are:
    -selected exercises are to be presented to the teacher orally or in writing during the course,
    -other documentation of how the student's knowledge develops,
    -project work, individually or in group,
    -written or oral exam during and/or at the end of the course.
    -problems/exercises are to be solved with a computer and presented in writing and/or at the computer.

    The course syllabus contains changes

    • Changes to examination:
      • 2020-09-30: Grade raising No longer grade raising by GRULG