Course syllabus for Mathematics, statistics and methods

The course syllabus contains changes
See changes

Course syllabus adopted 2020-02-12 by Head of Programme (or corresponding).

Overview

  • Swedish nameMatematik, matematisk statistik med metoder
  • CodeMVE491
  • Credits9 Credits
  • OwnerTAFFS
  • Education cycleFirst-cycle
  • Main field of studyMathematics, Civil and Environmental Engineering
  • DepartmentMATHEMATICAL SCIENCES
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language Swedish
  • Application code 60124
  • Maximum participants40
  • Open for exchange studentsNo
  • Only students with the course round in the programme overview.

Credit distribution

0120 Project 1.5 c
Grading: UG		1.5 c
0220 Examination 7.5 c
Grading: TH		7.5 c
  • 29 Okt 2020 pm J
  • 07 Jan 2021 pm J
  • 18 Aug 2021 pm J

In programmes

Examiner

  • Anders Muszta
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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.

Aim

The course aims to strengthen participant’s knowledge of mathematics and to provide them with knowledge of basic probability theory and statistical methods applicable to technology and social sciences. The main purpose of the mathematics module is to strengthen participant’s knowledge of those areas of mathematics that are used in the statistics module of the course.

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

  • Plan the gathering of data
  • Utilise descriptive statistical tools and statistical methods to describe and interpret data
  • Explain the effect randomness has on different scenarios, for example on measurements
  • Utilise and explain mathematical concepts within mathematical statistics, as well as have knowledge of definitions, and to be able to perform mathematical computations based on concepts introducted during the course.

Content

The course comprises three modules: introductory mathematical analysis, introductory mathematical statistics and a project work. The introductory mathematical analysis addresses the following concepts: variable, function, limit, derivative and integral as well as infinitesimal calculus, methods of integration, with a view to basic probability theory such as density function and distribution function, expected value and variance. The introductory mathematical statistics addresses the concepts random variable, normal distribution, interval estimator, linear regression and principles of hypothesis testing. The project work analyses data gathered in a previous course, or some other data source of the social sciences, by utilising methods introduced during the course.

Organisation

The course is given in the format of lectures, practicals and a few sessions devoted to assistance with the project work.

Examination including compulsory elements

The course is examined by a written exam, graded using the scale TH. To obtain a final grade the project work needs to have obtained a pass grade.

The course syllabus contains changes

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