Entry requirements

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.

The equivalent of English 6 in Swedish secondary school.

Progression level in relation to degree requirements

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.

Course 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.

Assessment

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.

Course 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

Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).

Interim rules

If a course is no longer offered, or has undergone significant changes, the students must be offered two opportunities for re-examination based on the syllabus that applied at the time of registration, for a period of one year after the changes have been implemented.

Additional information

If a student has a Learning support decision, the examiner has the right to provide the student with an adapted test, or to allow the student to take the exam in a different format.

The syllabus is a translation of a Swedish source text.