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Courses in Stud.IP

current semester
link to course in Stud.IP Studip_icon
Statistical Models (GÜ)
Subtitle:
This course is part of the module: Statistical Models
Semester:
SoSe 24
Course type:
Exercise
Course number:
lv3118_s24
Lecturer:
Prof. Dr. Matthias Schulte, Nihat Ay, Melina Wienkamp
Description:

Linear models and regression:

- Linear regression

- Nonlinear regression

- Logistic and Poisson regression

- Generalised linear models


Graphical Models and Causality:

- Conditional independence statements

- Hammersley-Clifford theorem

- Gibbs sampling

- Bayesian networks

- Causal inference

- Markov random fields

- Graphical and hierarchical models

- Applications  
Performance accreditation:
m1870-2023 - Statistical Models<ul><li>p1902-2023 - Statistical Models: Klausur schriftlich</li></ul>
ECTS credit points:
2
Stud.IP informationen about this course:
Home institute: Institut für Mathematik (E-10)
Registered participants in Stud.IP: 121
former semester
link to course in Stud.IP Studip_icon
Statistical Models (GÜ)
Subtitle:
This course is part of the module: Statistical Models
Semester:
SoSe 24
Course type:
Exercise
Course number:
lv3118_s24
Lecturer:
Prof. Dr. Matthias Schulte, Nihat Ay, Melina Wienkamp
Description:

Linear models and regression:

- Linear regression

- Nonlinear regression

- Logistic and Poisson regression

- Generalised linear models


Graphical Models and Causality:

- Conditional independence statements

- Hammersley-Clifford theorem

- Gibbs sampling

- Bayesian networks

- Causal inference

- Markov random fields

- Graphical and hierarchical models

- Applications  
Performance accreditation:
m1870-2023 - Statistical Models<ul><li>p1902-2023 - Statistical Models: Klausur schriftlich</li></ul>
ECTS credit points:
2
Stud.IP informationen about this course:
Home institute: Institut für Mathematik (E-10)
Registered participants in Stud.IP: 121

Courses

For information on courses and modules, please refer to the current course catalogue and module manual of your degree programme.

Module / Course Period ECTS Credit Points
Module: Electrical Power Systems I: Introduction to Electrical Power Systems WiSe 6
Module: Electrical Power Systems II: Operation and Information Systems of Electrical Power Grids WiSe 6
Module: Electrical Power Systems III: Dynamics and Stability of Electrical Power Systems SuSe 6
Module: Electrical Engineering II: Alternating Current Networks and Basic Devices SuSe 6
Module: Electrical Engineering Project Laboratory SuSe 6
Module: Process Measurement Engineering SuSe 4
Module: Smart Grid Technologies WiSe, SuSe 6

Course: Seminar on Electromagnetic Compatibility and Electrical Power Systems

Further Information

 WiSe, SuSe 2

SuSe: Summer Semester
WiSe: Winter Semester

TU Hamburg
Institute of Electrical Power and Energy Technology (ieet) E-6
Prof. Dr.-Ing. Christian Becker
Harburger Schloßstraße 36
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
Fax : +49 40 42878 2382
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