# FI:IA008 Computational Logic - Course Information

## IA008 Computational Logic

**Faculty of Informatics**

Spring 2024

**Extent and Intensity**- 2/2/0. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).

Taught in person. **Teacher(s)**- Dr. rer. nat. Achim Blumensath (lecturer)
**Guaranteed by**- Dr. rer. nat. Achim Blumensath

Department of Computer Science - Faculty of Informatics

Supplier department: Department of Computer Science - Faculty of Informatics **Course Enrolment Limitations**- The course is also offered to the students of the fields other than those the course is directly associated with.

The capacity limit for the course is 111 student(s).

Current registration and enrolment status: enrolled:**0**/111, only registered:**31**/111, only registered with preference (fields directly associated with the programme):**22**/111 **fields of study / plans the course is directly associated with**- there are 52 fields of study the course is directly associated with, display
**Course objectives**- At the end of the course students should be familiar with main research and applications in computational logic; They will be able to use automatic provers for propositional and predicate logic and also for its extensions; They will be familiar with, and able to use, methods for inductive inference in those logics;
**Learning outcomes**- After successfully completing this course students should be familiar with several logics, including propositional logic, first-order logic, and modal logic. They should be familiar with various proof calculi for these logics and be able to use such calculi to test formulae for satisfiability and or validity. In addition, they should have basic knowledge about automatic theorem provers and they way these work.
**Syllabus**- Resolution for propositional logic.
- Resolution for first-order logic.
- Prolog.
- Fundamentals of database theory.
- Tableaux proofs for first-oder logic.
- Natural deduction.
- Induction.
- Modal logic.
- Many-valued logics.

**Literature**- NERODE, Anil and Richard A. SHORE.
*Logic for applications*. New York: Springer-Verlag, 1993. xvii, 365. ISBN 0387941290. info - FITTING, Melvin.
*First order logic and automated theorem proving*. 2nd ed. New York: Springer, 1996. xvi, 326. ISBN 0387945938. info - NIENHUYS-CHENG, Shan-Hwei and Ronald de WOLF.
*Foundations of inductive logic programming*. Berlin: Springer, 1997. xvii, 404. ISBN 3540629270. info - PRIEST, Graham.
*An introduction to non-classical logic : from if to is*. 2nd ed. Cambridge: Cambridge University Press, 2008. xxxii, 613. ISBN 9780521854337. info

- NERODE, Anil and Richard A. SHORE.
**Teaching methods**- lectures, exercises.
**Assessment methods**- A final written exam.
**Language of instruction**- English
**Further Comments**- The course is taught annually.

The course is taught: every week.

- Enrolment Statistics (recent)

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