Course code STAT300

STAT300 Statistical data analysis

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Showing course contents for the educational year 2014 - 2015 .

Course responsible: Thore Egeland
ECTS credits: 10
Faculty: Department of Chemistry, Biotechnology and Food Science
Teaching language: EN
(NO=norsk, EN=Engelsk)
Limits of class size:
Minimum 5, maximum 100.
Teaching exam periods:
This course starts in January block. This course has teaching/evaluation in January block, Spring parallel, .
Course frequency: Annually
First time: Study year 2005-2006
Last time: 2015V
Course contents:
Basic aspects within multivariate statistical analysis of data. Simple matrix algebra. Linear regression, selection of explanatory variables, checking assumptions, and validation of models. Multicollinearity. Multivariate normal distribution. Principal component analysis, and factor analysis. Discriminant analyis, classification, and cluster analysis. Partial Least Squares (PLS) and canonical correlation analysis.
Learning outcome:
The students learn about the assumptions, applications, and theoretical background for the most common methods within multivariate statistical analysis. It will be emphasised that the students, to a given problem in their study period or later, in work, are able to formulate the problem in such a way that it can be analysed by means of suitable multivariate statistical method(s). Furthermore, the students learn to decide which method(s) to use used to model and analyse the problem, and to do the analysis, (if necessary) by means of suitable software. The students also learn the practical interpretation of and to assess the validity of models, methods, and results.
Learning activities:
1. Ordinary lectures. 2. Supervised exercises in groups. 3. Compulsory assignments. 4. Self-study.
Teaching support:
During lectures and exercises. In addition, the teacher offers academic guidance during regular office hours.
Will be announced on Fronter.
STAT100, EDS220 or equivalent.
Recommended prerequisites:
Mandatory activity:
Compulsory assignments. The first one as a part of STAT200.
3.5 hour written examination.
Nominal workload:
Theory: 150 hours. Exercises: 110 hours. Compulsory assignments: 40 hours.
Entrance requirements:
Special requirements in Science
Reduction of credits:
ECN201 (5 credits), STAT200 (5 credits).
Type of course:
January: 4 hours of organised teaching each day, for most days it will be 2 hours of lectures and 2 hours of exercises (identical to STAT200). Spring: 4 hours of organised teaching each week, for most weeks it will be 2 hours of lectures and 2 hours of exercises.
Teaching together with STAT200 in the january block
An external examiner approves the examination questions and assesses 25 randomly selected examination papers.
Examination details: :