Course syllabus for Applied statistics

Course syllabus adopted 2021-02-26 by Head of Programme (or corresponding).

Overview

  • Swedish nameTillämpad statistik
  • CodeSJO915
  • Credits7.5 Credits
  • OwnerTSILO
  • Education cycleFirst-cycle
  • Main field of studyShipping and Marine Technology
  • DepartmentMECHANICS AND MARITIME SCIENCES
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language English
  • Application code 81125
  • Maximum participants60
  • Open for exchange studentsYes
  • Only students with the course round in the programme overview.

Credit distribution

0117 Written and oral assignments, part A 1.5 c
Grading: UG		 1.5 c
0217 Examination, part B 6 c
Grading: TH		 6 c
  • 09 Jan 2023 pm L
  • 04 Apr 2023 am L
  • 14 Aug 2023 pm L

In programmes

Examiner

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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.

Course specific prerequisites

None.

Aim

The aim of the course is to give basic knowledge about:

- Methods to compile and present data
- Methods to scrutinize statistical analyses
- Methods to make conclusions about populations from samples

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

- Describe basic statistic concepts
- Describe different ways to present data
- Describe how to collect data
- Apply basic probability theory
- Define density and distribution functions
- Analyze a normally distributed variable
- Apply basic statistical analysis

Content

- Presentation of data
- Description of data
- Density- and distribution functions
- Probability theory
- Statistical tests
- Sampling
- Regression and correlation

Organisation

The teaching consist of lectures, tutorials and supervision of assignments.

Literature

"Statistics for Non-Statisticians" by Birger Madsen
ISBN 978-3-642-17655-2

Examination including compulsory elements

Part A: Hand-in assignments
Part B: Written exam

The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.