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Vår 2020
STA3001 Computerintensive Statistics  10 stp
The course is administrated by
Faculty of Science and Technology
Type of course
The course is mandatory in the study program Statistics  master. It may be taken independent of study program upon approval of the Department of mathematics and statistics.
Course contents
The course includes stochastic simulation, bootstrapping, Bayes theory, Laplace methods, the EM algorithm and Markov chain Monte Carlo (MCMC) techniques. The course is lectured in 5 parts. After each part the students must work independently with mandatory homework exercises. These must be approved to take the final exam, and the grades will be a part of the total evaluation.
Application deadline
Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester. Applicants from outside the Nordic countries: 1 October for the spring semester and 15 April for the autumn semester.
Admission requirements
Bachelor of science degree in statistics/mathematics or equal.
Application code is 9371.
Objective of the course
The course includes stochastic simulation, bootstrapping, Bayes theory, Laplace methods, the EM algorithm and Bayesian methods like Markov cahin Monte Carlo (MCMC) and Integrated nested Laplace approximations (INLA). After each part the students must work independently with mandatory homework exercises.
The candidate shall:
 obtain a solid knowledge and understanding of stochastic simulation, bootstrapping, Bayes theory, Laplace methods, the EM algorithm, MCMA and INLA techniques.
 be able to apply these concepts to solve theoretical problems.¿
 be able to apply these concepts in independent homework exercises using computers.
Language of instruction
The language of instruction and the syllabus is English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.
Teaching methods
Lectures: 40 h Coursework: 30 h
Assessment
Oral exam (50%) and approved mandatory homework sets (50%).
Assessment scale: Letter grades AF.
Coursework requirements A passing grade is required on the mandatory homework sets for permission to take the exam.
Date for examination
Oral examination 19.05.2020
The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.
Course overlap
STA8001 Computerintensive Statistics 10 stp
Lectures Spring 2020 First attendance: Wedensday 16th of Jan 09:15, REALF A228 

Lectures 
f.aman. Georg Elvebakk 