Course code STAT340

STAT340 Applied methods in statistics

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Showing course contents for the educational year 2015 - 2016 .

Course responsible: Solve Sæbø
ECTS credits: 10
Faculty: Department of Chemistry, Biotechnology and Food Science
Teaching language: EN, NO
(NO=norsk, EN=Engelsk)
Teaching exam periods:
The course starts in the spring semester. Teaching and evaluation is also in the spring semester.
Course frequency: Anually
First time: Study year 2015-2016
Course contents:
Short introduction to R and R Studio. Practical analysis in R using various statistical methods followed by theoretical and practical interpretation of the results. The methods taught will be a collection from the following list: Multiple regression, ANOVA, random effects models, generalized linear models (logistisc, poisson, multinomial regression etc), classification (lda, qda, knn, logistic, multinomial, etc), clustering, multivariate analysis (PCA, PLS, CCA, etc), time series, spatial statistics.
Learning outcome:
The students should master the use of R as a tool for practical data analysis. They should know the assumptions, applications and theoretical background for the methods presented. It will be emphasised that the students, to a given problem, are able to formulate the problem in such a way that it can be analysed by means of suitable metods. Furthermore, the students should learn to decide which method(s) to use to model and analyse the problem, and to do the analysis. The students also learn the practical interpretation of and the assess the validity of models, methods and results.
Learning activities:
1. Lectures. 2. Supervised exercises in groups. 3. Compulsory assignment. 4. Individual study.
Teaching support:
During lectures and exercises. In addition, the teacher offers academic guidance during regular office hours.
Will be announced on the course pages on Fronter.
STAT100, or equivalent.
Recommended prerequisites:
Mandatory activity:
There will be one compulsory assignment near the end of the course.
Written exam (100%)
Nominal workload:
Lectures:  28 hours. Exercises 28 hours. Individual study 244 hours.
Entrance requirements:
Special requirements in Science
Reduction of credits:

STAT300 - 50%

STAT310 - 50%

STAT330 - 50%

Type of course:
Lectures: 2 hours per week. Exercises: 2 hours per week.
An external examiner approves the examination questions and assesses 25 randomly selected examination papers.
Examination details: One written exam: A - E / Ikke bestått