184.766 Introduction to Logical Methods in Computer Science
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021W, VO, 2.0h, 3.0EC, to be held in blocked form

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to    

- describe the industrial relevance and long/short-term impact of logic-based
methods - understand practical limitations of logic-based methods


Subject of course

In this one-semester course, students gain an introductory overview of the main
research areas of the LogiCS Doctoral Program: Verification, Computational Logic
and Databases / Artificial Intelligence. For each of the three areas an overview is
given by presentations of the participating professors. The main objective of this
lecture is to stimulate interdisciplinary research and to inform students about the
research areas of the LogiCS Doctoral College. In the introduction to logical
methods, every student has to solve two exercises, which are selected from the
areas that do not correspond to the research area of the doctoral supervisor.

Teaching methods

- The course consists of in-class lectures and homework exercises.
- Lectures slide are made online.
- Exercise topics for homework exercise will be discussed during the in-class
lectures
- Homework solutions will be submitted online by students. These solutions will be
corrected
by the lecturers and returned to the students.
- There will be individual meetings with students providing feedback on their overall
course performance.

Mode of examination

Oral

Additional information

3 ECTS (75 h): 15 einheiten*2h=30h ->
VO 40%=30 h
UE 60%=45 h
Beachten Sie beim Verfassen der Ausarbeitung bitte die Richtlinie der TU Wien
zum Umgang mit Plagiaten: https://www.tuwien.ac.at/fileadmin/t/ukanzlei/Lehre_-
_Leitfaden_zum_Umgang_mit_Plagiaten.pdf

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon14:00 - 16:0021.02.2022 (LIVE)Modal Logic - Christian Fermüller
Tue10:00 - 12:0022.02.2022 (LIVE)Complexity Theory - Thomas Eiter
Tue14:00 - 16:0022.02.2022 (LIVE)Computational Argumentation - Stefan Woltran
Wed14:00 - 16:0023.02.2022 (LIVE)Description Logics - Magdalena Ortiz
Fri10:00 - 12:0025.02.2022 (LIVE)Software verification - Georg Weissenbacher
Mon10:00 - 12:0028.02.2022 (LIVE)First Order Theorem Proving - Laura Kovacs
Tue10:00 - 12:0001.03.2022 (LIVE)Runtime Verification - Ezio Bartocci
Wed10:00 - 12:0002.03.2022 (LIVE)SAT Solving - Armin Biere
Wed14:00 - 16:0002.03.2022 (LIVE)Hybrid Automata - Radu Grosu
Thu10:00 - 12:0003.03.2022 (LIVE)Reasoning on QBF - Martina Seidl
Thu14:00 - 16:0003.03.2022 (LIVE)Reactive Synthesis - Roderick Bloem
Fri15:00 - 17:0004.03.2022 (LIVE)Proof Theory - Agata Ciabattoni
Course is held blocked

Examination modalities

oral examination

Course registration

Begin End Deregistration end
15.12.2021 12:00 09.03.2022 12:00 21.02.2022 12:00

Curricula

Literature

No lecture notes are available.

Previous knowledge

Master's degree in Mathematics, Computer Science or Philosophy with the enhanced instruction in Logic and Formal Methods

Language

English