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current semester
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Constraint Satisfaction Problems (HÜ)
Subtitle:
This course is part of the module: Constraint Satisfaction Problems
Semester:
SoSe 24
Course type:
Exercise
Course number:
lv3003_s24
Lecturer:
Prof. Dr. Antoine Mottet
Description:
This course gives an introduction to the topic of constraint satisfaction problems and their complexity. It will cover the basics of the theory such as the universal-algebraic approach to constraint satisfaction and several classical algorithms such as local consistency checking and the Bulatov-Dalmau algorithm. We will finally discuss the recent research directions in the field.Educational Objectives: After taking part successfully, students have reached the following learning results Professional Competence:- Knowledge:* Students can describe basic concepts from the theory of constraint satisfaction such as primitive positive formulas, interpretations, polymorphisms, clones* Students can discuss the connections between these concepts* Students know proofs strategies and can reproduce them- Skills:* Students can use CSPs to model problems fromcomplexity theory and decide their complexity using methods from the course.
Performance accreditation:
m1812-2021 - Constraint Satisfaction Problems<ul><li>p1803-2021 - Constraint Satisfaction Problems: mündlich</li></ul>
ECTS credit points:
3
Stud.IP informationen about this course:
Home institute: Theoretische Informatik (E-EXK6)
Registered participants in Stud.IP: 1
former semester
link to course in Stud.IP Studip_icon
Constraint Satisfaction Problems (HÜ)
Subtitle:
This course is part of the module: Constraint Satisfaction Problems
Semester:
SoSe 24
Course type:
Exercise
Course number:
lv3003_s24
Lecturer:
Prof. Dr. Antoine Mottet
Description:
This course gives an introduction to the topic of constraint satisfaction problems and their complexity. It will cover the basics of the theory such as the universal-algebraic approach to constraint satisfaction and several classical algorithms such as local consistency checking and the Bulatov-Dalmau algorithm. We will finally discuss the recent research directions in the field.Educational Objectives: After taking part successfully, students have reached the following learning results Professional Competence:- Knowledge:* Students can describe basic concepts from the theory of constraint satisfaction such as primitive positive formulas, interpretations, polymorphisms, clones* Students can discuss the connections between these concepts* Students know proofs strategies and can reproduce them- Skills:* Students can use CSPs to model problems fromcomplexity theory and decide their complexity using methods from the course.
Performance accreditation:
m1812-2021 - Constraint Satisfaction Problems<ul><li>p1803-2021 - Constraint Satisfaction Problems: mündlich</li></ul>
ECTS credit points:
3
Stud.IP informationen about this course:
Home institute: Theoretische Informatik (E-EXK6)
Registered participants in Stud.IP: 1

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