Mathematical Statistics

Summary

Admission requirements

The equivalent of English 6/English B in Swedish secondary school.
Pass in following course: MA209A Analysis A and Linear Algebra, 15 credits or alternatively at least 15 credits from MA301A - Calculus with Applications and MA300A - Linear Algebra with Applications.

Syllabus

Syllabus for students autumn 2021, autumn 2020, autumn 2019

Course Code:
MA210A revision 1
Swedish name:
Matematisk statistik
Level of specialisation
G1F
Main fields of study:
No main fields
Language:
English
Date of ratification:
24 October 2016
Decision-making body:
Faculty of Technology and Society
Enforcement date:
02 September 2019

Entry requirements

The equivalent of English 6/English B in Swedish secondary school.
Pass in following course: MA209A Analysis A and Linear Algebra, 15 credits or alternatively at least 15 credits from MA301A - Calculus with Applications and MA300A - Linear Algebra with Applications.

Specialisation and progression relative to the degree regulations

The course meets the degree requirement for the degree of Bachelor of Science in Engineering in Computer Science.
The course is an elective programme course.

Purpose

The purpose of the course is that the student develops knowledge and gain basic skills in statistical models in order to handle the stochastic variations and also be familiar with some data analysis methodologies, which are based on probability theory, for instance, parameter estimate, correlation and regression analysis, hypothesis testing.

Contents

The Course contains the following moments:

  • Probability theory: classical probability, Stochastic variables in one and higher dimension, some well-known distributions, Central limit theorems, Approximations
  • Inference theory: Sampling, Descriptive statistics, Point-wise estimate, Confidence Interval, Comparison in pair and for independent samples, Hypothesis testing, Analysis of variance
  • Statistical models: Correlation, Simple linear regression, Nonlinear regression, Multiple regression
  • SPSS program

Learning outcomes

Knowledge and understanding
On completion of the course the student shall demonstrate:

  • knowledge of descriptions for data set, such as mean, median, variance, standard deviation and scatter diagram
  • understanding of basic concepts and laws for stochastic variables
  • knowledge of several statistical models often used in natural science and technology
  • skill in usage of computer program SPSS for data analysis
Skills and abilities

On completion of the course the student shall demonstrate:
  • skills to identify proper stochastic models for analysis of collected data
  • skills to choose statistic models for experiment
  • the ability to independently plan survey, conduct sampling of data, carry out a complete data analysis and interpret simulation results
  • the ability to communicate in written or orally statistic results with people of various knowledge in statistics
Judgement and approach

On completion of the course the student shall demonstrate:
  • ability to critically examine the results published in Newspaper and Scientific journal
  • insight about the role of statistics in modern society and the responsibility for individuals how statistics should be used properly

Learning activities

Lectures, lessons, computer labs and individual studies.

Assessments

Requirements for pass: Pass on written examination (6.5 credits) and passed computer lab reports (1.0 credit).
The final grade is based on the written examination.

Grading system

Fail (U), Three (3), Four (4), or Five (5).

Course literature and other teaching materials

Recommended literature:
  • Walpole, Ronald E. (red.) (2014). Probability and statistics for engineers & scientists. 9th ed., Pearson new international ed. Harlow, Essex: Pearson Education Limited

Course evaluation

The university provides all students who are participating in, or have completed, a course to express their experiences and views on the course through a course evaluation which is organized at the end of the course. The university will collate the course evaluations and provide information about their results and any actions prompted by them. The results shall be made available to the students. (HF 1:14).

Interim rules

When a course is no longer given, or the contents have been radically changed, the student has the right to re-take the examination, which will be given twice during a one year period, according to the syllabus which was valid at the time of registration.

Contact

The education is provided by the Faculty of Technology and Society at the department Materials Science and Applied Mathematics.

Further information

Studentservice TS - Malmö Universitet,

Application

02 September 2019 - 10 November 2019 Day-time 50% Malmö Application code: mau-98336 This course is offered as part of a program

Tuition fees

for non-EU students only

First instalment: 16000 SEK
Full tuition Fee: 16000 SEK

Open for late application

Apply

31 August 2020 - 08 November 2020 Day-time 50% Malmö This course is offered as part of a program

30 August 2021 - 07 November 2021 Day-time 50% Malmö This course is offered as part of a program