Data analysis and statistical methods
Faculteit  Science and Engineering 
Jaar  2017/18 
Vakcode  WMEE14000 
Vaknaam  Data analysis and statistical methods 
Niveau(s)  master 
Voertaal  Engels 
Periode  semester I a 
ECTS  5 
Rooster  rooster.rug.nl 
Uitgebreide vaknaam  Data analysis and statistical methods  
Leerdoelen  After the course students should be able to: (1) Solve basic problems relating to probability, distributions, error analysis, hypothesis testing, and linear regressions and explain more complex statistical methods, such as time series and multivariate analysis. (2) Use these techniques to analyze realistic data sets and to assess which techniques are appropriate for a certain problem. (3) Understand the theory behind the statistical methods, which helps to: (a) Evaluate usefulness and limits of statistical methods depending on context. (b) Use the knowledge gained in this course to investigate and correctly apply new statistical methods that might be encountered during the master research project (not specifically tested at the end) 

Omschrijving  Content: Probability distributions commonly encountered in environmental science and their properties, estimation of means and other parameters, hypothesis testing using parametric and nonparametric methods, experimental uncertainties and error propagation, linear regression and fitting, introduction to time series analysis Structure: 2 x 2 hour lecturestutorials / week: The lectures are focused on understanding the theoretical background of a statistical technique and the illustration of the technique with the help of simple examples. The tutorials will be used to discuss the assigned problem sets (Approximately 3 problem sets will be assigned). 1 x 2 hour computer practicum/week: Application of statistical techniques using the statistical programming language R. During the course the students will work on individual projects, where every student analyzes a real data set using methods learned in this course and writes a small report. During the last week of the course extra time will be devoted to finishing this project. 

Uren per week  variabel  
Onderwijsvorm  Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC), Werkcollege (T)  
Toetsvorm 
Opdracht (AST), Schriftelijk tentamen (WE), Verslag (R)
(Approximately 3 Problem sets (30% of the total grade); Final exam (40%, grade must be > 5.5 to pass the course, if the exam grade is <5.5 the highest total course grade can at maximum be a 5); Project report (30%)) 

Vaksoort  master  
Coördinator  U. Dusek  
Docent(en)  U. Dusek, PhD.  
Verplichte literatuur 


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