313.110 (20S) Statistical Learning
Overview
- Lecturer
- Course title german Statistical Learning
- Type Lecture
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 15
- Organisational unit
- Language of instruction English
- possible language(s) of the assessment English
- Course begins on 01.03.2020
Time and place
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Course Information
Intended learning outcomes
Kennenlernen der grundlegenden Data Science Methoden in der KI
Teaching methodology including the use of eLearning tools
Distance learning
Slides
Course content
- Graphical Modeling, Network Models
- Neural Network Modeling
- Dynamic Crypto Networks
- Kernel Methods
- Nonparametric Regression
- Digital Economy Data Analytics
- Regularization, Lasso and Elastic Net
Prior knowledge expected
Statistische Verfahren und Datenanalyse
Regressionsanalyse
Multivariate statistische Methoden
Literature
s. Slides
Examination information
Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Thematic Doctoral Programme Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(SKZ: ---, Version: 16W.1)
-
Subject: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(Compulsory subject)
-
Modeling-Analysis - Optimization of discrete, continuous and stochastic systems (
0.0h XX / 0.0 ECTS)
- 313.110 Statistical Learning (2.0h VO / 4.0 ECTS)
-
Modeling-Analysis - Optimization of discrete, continuous and stochastic systems (
0.0h XX / 0.0 ECTS)
-
Subject: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(Compulsory subject)
- Masterstudium Mathematics
(SKZ: 401, Version: 18W.1)
-
Subject: Applied Statistics
(Compulsory elective)
-
5.5 Statistical Learning (
2.0h VO / 4.0 ECTS)
- 313.110 Statistical Learning (2.0h VO / 4.0 ECTS)
-
5.5 Statistical Learning (
2.0h VO / 4.0 ECTS)
-
Subject: Applied Statistics
(Compulsory elective)
- Masterstudium Mathematics
(SKZ: 401, Version: 18W.1)
-
Subject: Applied Mathematics
(Compulsory elective)
-
Lehrveranstaltungen aus den Vertiefungsfächern (
0.0h XX / 12.0 ECTS)
- 313.110 Statistical Learning (2.0h VO / 4.0 ECTS)
-
Lehrveranstaltungen aus den Vertiefungsfächern (
0.0h XX / 12.0 ECTS)
-
Subject: Applied Mathematics
(Compulsory elective)
- Master's degree programme Technical Mathematics
(SKZ: 401, Version: 13W.1)
-
Subject: Angewandte Statistik
(Compulsory elective)
-
Statistische Entscheidungstheorie (
3.0h VU / 6.0 ECTS)
- 313.110 Statistical Learning (2.0h VO / 4.0 ECTS)
-
Statistische Entscheidungstheorie (
3.0h VU / 6.0 ECTS)
-
Subject: Angewandte Statistik
(Compulsory elective)
- Doctoral programme Doctoral programme in Technical Sciences
(SKZ: 786, Version: 12W.4)
-
Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Compulsory subject)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
16.0h XX / 32.0 ECTS)
- 313.110 Statistical Learning (2.0h VO / 4.0 ECTS)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
16.0h XX / 32.0 ECTS)
-
Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Compulsory subject)
Equivalent courses for counting the examination attempts
-
Sommersemester 2019
- 313.110 VO Statistical Learning (2.0h / 4.0ECTS)