Statistics

Faculteit Science and Engineering
Jaar 2017/18
Vakcode WISTAKI-07
Vaknaam Statistics
Niveau(s) bachelor
Voertaal Engels
Periode semester I a
ECTS 5
Rooster rooster.rug.nl

Uitgebreide vaknaam Statistics
Leerdoelen The aim of the course is that
- the students learn to reason from a statistical point of view;
- the students learn how to implement various statistical test to solve practical data-driven problems;
- the students learn the first principles of a linear and logistic regression model;
- the students learn how to programme simulation and analysis methods in R.

The student is able
- to formulate a real problem in terms of quantitative measurable outcomes;
- to explore the data from an applied problem in terms of descriptive statistics and/or visualizations in R;
- to formally analyze the data using a variety of statistical tools, such as hypothesis tests, confidence intervals, linear regression, logistic regression and ANCOVA in R;
- to interpret and critically discuss the results of the formal analysis;
- to programme stochastic simulations in R.
Omschrijving Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding these relationships. The course will make use of the R programming environment to analyze the data and will be encouraged to use R to implement stochastic simulations.
Uren per week
Onderwijsvorm Hoorcollege (LC), Practisch werk (PRC)
(4 hours lectures, 4 hours computer labs)
Toetsvorm Opdracht (AST), Practisch werk (PR), Schriftelijk tentamen (WE)
(There will be 3 obligatory homework assignments. Each of the homeworks is worth 20%. The final (computer) exam counts for 40%. It will involve practical R-based exercises as well as theoretical questions.)
Vaksoort bachelor
Coördinator prof. dr. E.C. Wit
Docent(en) prof. dr. E.C. Wit
Verplichte literatuur
Titel Auteur ISBN Prijs
Using R for introductory statistics, 2014, CRC Press
Verzani, J. ISBN 9781466590731 ca. €  43,00
Entreevoorwaarden
Opmerkingen Voor KI studenten is dit vak verplichte voorkennis voor het bachelorproject
Opgenomen in
Opleiding Jaar Periode Type
BSc Informatica 2 semester I a verplicht
BSc Kunstmatige Intelligentie 2 semester I a verplicht