184.767 Research Seminar LogiCS
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, SE, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SE Seminar

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

Written

Additional information

3 ECTS (75 h): 15 einheiten*2h=30h ->

VO 40%=30 h

UE 60%=45 h

Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: Directive concerning the handling of plagiarism (PDF)

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue16:00 - 18:0001.10.2019Seminarraum FAV 01 A (Seminarraum 183/2) LogiCS Seminar
Tue15:00 - 17:0008.10.2019 - 28.01.2020Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue16:00 - 18:0010.12.2019FAV Hörsaal 1 Helmut Veith - INF LogiCS Seminar
Tue15:00 - 17:0021.01.2020FAV Hörsaal 2 LogiCS Seminar
Research Seminar LogiCS - Single appointments
DayDateTimeLocationDescription
Tue01.10.201916:00 - 18:00Seminarraum FAV 01 A (Seminarraum 183/2) LogiCS Seminar
Tue08.10.201915:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue15.10.201915:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue22.10.201915:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue29.10.201915:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue05.11.201915:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue12.11.201915:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue19.11.201915:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue26.11.201915:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue03.12.201915:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue10.12.201916:00 - 18:00FAV Hörsaal 1 Helmut Veith - INF LogiCS Seminar
Tue17.12.201915:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue07.01.202015:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue14.01.202015:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar
Tue21.01.202015:00 - 17:00FAV Hörsaal 2 LogiCS Seminar
Tue28.01.202015:00 - 17:00Seminarraum FAV EG B (Seminarraum von Neumann) LogiCS Seminar

Examination modalities

For each of the topics covered in the lecture an exercise by the lecturer will be presented. Each student must complete two exercises selected from the research areas that are outside the area of the doctoral researcher's area of research.

Course registration

Begin End Deregistration end
03.10.2019 01:00 31.10.2019 20:00 01.11.2019 15:00

Curricula

Literature

No lecture notes are available.

Previous knowledge

Master's degree in mathematics, computer science or philosophy with an increased knowledge of logic and formal methods

Language

English