311.244 (24S) Statistical Learning
Überblick
- Lehrende/r
- LV-Titel englisch Statistical Learning
- LV-Art Vorlesung-Übung (prüfungsimmanente LV )
- LV-Modell Präsenzlehrveranstaltung
- Semesterstunde/n 3.0
- ECTS-Anrechnungspunkte 4.5
- Anmeldungen 63
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 06.03.2024
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
After successfully completing this course, students are able to:
- formulate substantive questions in a suitable probabilistic framework
- comprehend probabilistic approach(es) and inferential methods that can be used to answer these questions in a data-driven fashion
- independently apply fundamental concepts of statistical learning to new data sets
- select the appropriate methods depending on research question and data types
- conduct independent analyses and formulate answers based on the outcomes
Lehrmethodik
- lectures
- homework problems
- case studies
Inhalt/e
- recap of basic probability
- discrete data models
- Gaussian models
- fundamental concepts of Bayesian and frequentist statistics
- regression
- advanced statistical learning methods in alignment with the students' interest
Erwartete Vorkenntnisse
- fundamental linear algebra (matrix computations)
- basic understanding of probability (including knowledge about important discrete and continuous distributions)
- (some) prior exposition to statistical modeling
Literatur
Murphy, Kevin P.: Machine learning : a probabilistic perspective (any edition)
Prüfungsinformationen
Prüfungsmethode/n
- individual homework
- case studies
- final written exam in the last lecture with a possibility for a retake in early October if a student missed / failed the first attempt
Prüfungsinhalt/e
contents of the lecture
Beurteilungskriterien/-maßstäbe
correctness, level of comprehension, creativity to tackle new problems (if applicable)
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
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3.0h VU / 4.5 ECTS)
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6.6 Statistical Learning (
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- Bachelorstudium Robotics and Artificial Intelligence
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(Pflichtfach)
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4.6 Statistical Learning (
3.0h VU / 4.5 ECTS)
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4.6 Statistical Learning (
3.0h VU / 4.5 ECTS)
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Fach: Artificial Intelligence
(Pflichtfach)