Course syllabus adopted 2021-02-26 by Head of Programme (or corresponding).
Overview
Swedish name:
Tillämpad statistik
Code:
SJO915
Credits:
7.5 Credits
Owner:
TSILO
Education cycle:
First-cycle
Main field of study:
Shipping and Marine Technology
Department:
MECHANICS AND MARITIME SCIENCES
Grading:
TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
Teaching language
EnglishApplication code
81113Maximum participants
60Open for exchange students
YesOnly students with the course round in the programme overview.
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
|---|---|---|---|---|---|---|---|
| 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 |
|
In programmes
Examiner
- To personal page
Martin Schreuder
- Senior Lecturer, Marine Technology, Mechanical Engineering
Martin Schreuder
- Senior Lecturer, Marine Technology, Mechanical Engineering
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 MadsenISBN 978-3-642-17655-2
Examination including compulsory elements
Part A: Hand-in assignmentsPart 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 about disability study support.