Inhalt

[ 536DASCICSV21 ] VL (*)Introduction to Computational Statistics

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS B3 - Bachelor 3. Jahr Statistik Milan Stehlik 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Bachelorstudium Artificial Intelligence 2021W
Ziele (*)Students learn to understand the theory and the correct application of advanced topics in computational statistics as well as to independently implement and apply selected methods.
Lehrinhalte (*)Computer arithmetic, methods of non-linear optimization and root finding, EM algorithm, pseudorandom number generation, numerical integration, Jackknife and bootstrap, permutation tests, regression, precision of statistical computation.
Beurteilungskriterien (*)Exam, Project
Lehrmethoden (*)Lecture by instructor; Discussion of the projects, where the solution is presented by the students in a project report; Independent development and application of computational statistical methods
Abhaltungssprache Englisch
Literatur (*)Slides. Supplementary reading (books, articles) will be announced each semester.
Lehrinhalte wechselnd? Nein
Äquivalenzen (*)in combination with 536DASCICSU21: UE Introduction to Computational Statistics (1.5 ECTS) equivalent to 951STCOCSTK14 KV Computational Statistics (4 ECTS)
Präsenzlehrveranstaltung
Teilungsziffer -
Zuteilungsverfahren Direktzuteilung