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Modellprüfung - Beweiser und Algorithmen
Subtitle:
Diese Lehrveranstaltung ist Teil des Moduls: Modellprüfung - Beweiser und Algorithmen
Semester:
SoSe 24
Course type:
Lecture
Course number:
lv1979_s24
Lecturer:
Prof. Dr.-Ing. Görschwin Fey, Dr. Gianluca Martino
Description:

Correctness is a major concern in embedded systems. Model checking can fully automatically proof formal properties about digital hardware or software. Such properties are given in temporal logic, e.g., to prove "No two orthogonal traffic lights will ever be green."

And how do the underlying reasoning algorithms work so effectively in practice despite a computational complexity of NP hardness and beyond?

But what are the limitations of model checking?
How are the models generated from a given design?
The lecture will answer these questions. Open source tools will be used to gather a practical experience.

Among other topics, the lecture will consider the following topics:

  • Modelling digital Hardware, Software, and Cyber Physical Systems

  • Data structures, decision procedures and proof engines

    • Binary Decision Diagrams

    • And-Inverter-Graphs

    • Boolean Satisfiability

    • Satisfiability Modulo Theories

  • Specification Languages

    • CTL

    • LTL

    • System Verilog Assertions

  • Algorithms for

    • Reachability Analysis

    • Symbolic CTL Checking

    • Bounded LTL-Model Checking

    • Optimizations, e.g., induction, abstraction

  • Quality assurance

Performance accreditation:
695 - Modellprüfung - Beweiser und Algorithmen<ul><li>695 - Modellprüfung - Beweiser und Algorithmen: mündlich</li></ul><br>m1397 - Modellprüfung - Beweiser und Algorithmen<ul><li>p1309 - Modellprüfung - Beweiser und Algorithmen: mündlich</li><li>vl360 - Verpflichtende Studienleistung Modellprüfung - Beweiser und Algorithmen - Fachtheoretisch-fachpraktische Studienleistung: Fachtheoretisch-fachpraktische Studienleistung</li></ul>
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Institut für Eingebettete Systeme (E-13)
Registered participants in Stud.IP: 21
Documents: 1
former semester
link to course in Stud.IP Studip_icon
Modellprüfung - Beweiser und Algorithmen
Subtitle:
Diese Lehrveranstaltung ist Teil des Moduls: Modellprüfung - Beweiser und Algorithmen
Semester:
SoSe 24
Course type:
Lecture
Course number:
lv1979_s24
Lecturer:
Prof. Dr.-Ing. Görschwin Fey, Dr. Gianluca Martino
Description:

Correctness is a major concern in embedded systems. Model checking can fully automatically proof formal properties about digital hardware or software. Such properties are given in temporal logic, e.g., to prove "No two orthogonal traffic lights will ever be green."

And how do the underlying reasoning algorithms work so effectively in practice despite a computational complexity of NP hardness and beyond?

But what are the limitations of model checking?
How are the models generated from a given design?
The lecture will answer these questions. Open source tools will be used to gather a practical experience.

Among other topics, the lecture will consider the following topics:

  • Modelling digital Hardware, Software, and Cyber Physical Systems

  • Data structures, decision procedures and proof engines

    • Binary Decision Diagrams

    • And-Inverter-Graphs

    • Boolean Satisfiability

    • Satisfiability Modulo Theories

  • Specification Languages

    • CTL

    • LTL

    • System Verilog Assertions

  • Algorithms for

    • Reachability Analysis

    • Symbolic CTL Checking

    • Bounded LTL-Model Checking

    • Optimizations, e.g., induction, abstraction

  • Quality assurance

Performance accreditation:
695 - Modellprüfung - Beweiser und Algorithmen<ul><li>695 - Modellprüfung - Beweiser und Algorithmen: mündlich</li></ul><br>m1397 - Modellprüfung - Beweiser und Algorithmen<ul><li>p1309 - Modellprüfung - Beweiser und Algorithmen: mündlich</li><li>vl360 - Verpflichtende Studienleistung Modellprüfung - Beweiser und Algorithmen - Fachtheoretisch-fachpraktische Studienleistung: Fachtheoretisch-fachpraktische Studienleistung</li></ul>
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Institut für Eingebettete Systeme (E-13)
Registered participants in Stud.IP: 21
Documents: 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