| NMAC17 | Statistical Theory , 4,5 ECTS credits. /Statistisk teori/ |
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Area of Education: Subject area: |
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| Advancement level
(A-D): C
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| Aim: The students shall understand and use basic probability theory and statistics. The theory and methods are primarily focused on such that apply in biology and chemistry. The students shall understand, use and be able to construct mathematical models that apply to biological systems. |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Organisation: Lectures, seminars and compulsory computer sessions. Biological experiments for collecting data and applying statistical methods. |
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| Course contents: The course treats basic methods to analyze and describe data from biological and chemical experiments. Decriptive statitics. Simple regression. One- and twoway ANOVA. Non parametric tests. Experimental design. Basic knowledge about Matlab. Some theory of ordinary differential equations. Second order linear equations. Dynamical systems: Phase portrait and stability analysis. Logistic equations. Lotka-Volterra equations. Models for epidemics. Difference equations. |
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| Course literature: Zar: Biostatistical Analysis. Enander et al:The Matlab Handbook. Mooney and Swift, 1999: A Course in Mathematical Modeling. |
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| Examination: | |||
| Written examination Computer exercises |
2,5 p 0,5 p |
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Course language is . Department offering the course: MAI. Director of Studies: Eva Enqvist Examiner: Course Syllabus in Swedish |
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