Statistics

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), Opdracht (ASM), 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. The final grade = (0.2 HW1 + 0.2 HW2 + 0.2 HW3 + 0.4 CE) if CE >= 5 and else finale grade = CE, where HWi is grade of ith homework assignment and CE grade of (computer) exam which will involve practical R-based exercises as well as theoretical questions. The mark for the final exam should be larger or equal to 5.0 to pass the course.)
Vaksoort	bachelor
Coördinator	dr. W.P. Krijnen
Docent(en)	dr. W.P. Krijnen
Verplichte literatuur	Titel Auteur ISBN Prijs Using R for introductory statistics, 2014, CRC Press Verzani, J. ISBN 9781466590731 ca. €  43,00
Entreevoorwaarden	No prior knowledge is assumed.
Opmerkingen	This course unit constitutes compulsory prior knowledge for the Bachelor’s Project for Artificial Intelligence students. This course was registered last year with course code WISTAKI-07
Opgenomen in	Opleiding Jaar Periode Type BSc Artificial Intelligence 2 semester I a verplicht BSc Computing Science 2 semester I a verplicht BSc Courses for Exchange Students: AI - Computing Science - Mathematics - semester I a