Module CS4138 T

Module part: Model Checking (ModelCha14)


Duration

1 Semester

Turnus of offer

each winter semester

Credit points

6

Course of studies, specific fields and terms:

  • Master Computer Science 2019, module part, Module part
  • Master MES 2020, module part, computer science / electrical engineering
  • Master Entrepreneurship in Digital Technologies 2020, module part, Module part
  • Master Entrepreneurship in Digital Technologies 2014, module part, Module part
  • Master MES 2014, module part, computer science / electrical engineering
  • Master Computer Science 2014, Module part of a compulsory module, Module part

Classes and lectures:

  • Model Checking (exercise, 1 SWS)
  • Model Checking (lecture, 3 SWS)

Workload:

  • 20 hours exam preparation
  • 100 hours private studies and exercises
  • 60 hours in-classroom work

Contents of teaching:

  • Quality aspects of software systems
  • Analysis and verification techniques for software systems
  • Basic techniques for model checking
  • Advanced techniques for model checking

Qualification-goals/Competencies:

  • The students can describe and compare analysis and verification techniques.
  • They can construct, analyse and evaluate specifications of correctness and safety properties.
  • They can characterize different system models and can formally represent sysstems in suitable models.
  • They can illustrate different techniques for model checking hardware and software systems and can select and apply suitable techniques.
  • They can explain the structure of model checkers and can use model checkers.
  • They can evaluate the possibilities and limitations of model checking.

Grading through:

  • exam type depends on main module

Responsible for this module:

  • Siehe Hauptmodul

Literature:

  • C. Baier, J.-P. Katoen : Principles of Model Checking MIT Press, 2008

Language:

  • English, except in case of only German-speaking participants

Notes:

(Is equal to CS4138SJ14)
(Part of Module CS4507)


Prerequisites for attending the module:
- None

Prerequisites for the exam:
- Successful completion of homework assignments during the semester.

Last Updated:

27.11.2019