313.110 (20S) Statistical Learning

Sommersemester 2020

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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 scheme

Position 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)
  • 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)
  • 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)
  • 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)
  • 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)

Equivalent courses for counting the examination attempts

Sommersemester 2019
  • 313.110 VO Statistical Learning (2.0h / 4.0ECTS)