<?xml version="1.0" encoding="ISO-8859-1" standalone="yes" ?>
<document>
<title>Computability and Complexity Theory</title>
<cid>DFI-BK</cid>
<sapsubmodule>P610-0278</sapsubmodule>
<bkey>dim</bkey>
<ctypes>
<hours>4</hours>
<type>V</type>
</ctypes>
<cp>6</cp>
<semester>1</semester>
<mandatory>yes</mandatory>
<language>German</language>
<exam>Oral examination</exam>
<curriculum>
<curriculum_entry>
<cid>DFI-BK</cid>
<branch>Computer Science</branch>
<semester>1</semester>
<mandatory_tag>mandatory course</mandatory_tag>
</curriculum_entry>
<curriculum_entry>
<cid>KIM-BK</cid>
<branch>Computer Science and Communication Systems</branch>
<semester>1</semester>
<mandatory_tag>mandatory course</mandatory_tag>
</curriculum_entry>
<curriculum_entry>
<cid>PIM-BK</cid>
<branch>Applied Informatics</branch>
<semester>1</semester>
<mandatory_tag>mandatory course</mandatory_tag>
</curriculum_entry>
<curriculum_entry>
<cid>PIM-BK</cid>
<branch>Applied Informatics</branch>
<semester>1</semester>
<mandatory_tag>mandatory course</mandatory_tag>
</curriculum_entry>
<curriculum_entry>
<cid>PIM-BK</cid>
<branch>Applied Informatics</branch>
<semester>1</semester>
<mandatory_tag>mandatory course</mandatory_tag>
</curriculum_entry>
</curriculum>
<workload>
60 class hours (= 45 clock hours) over a 15-week period.The total student study time is 180 hours (equivalent to 6 ECTS credits).There are therefore 135 hours available for class preparation and follow-up work and exam preparation.</workload>
<prerequisites>
</prerequisites>
<knowledge>[?]</knowledge>
<prerequisitesfor>
</prerequisitesfor>
<convenor>Prof. Dr. Maximilian Altmeyer</convenor>
<convenor-person-key>mat</convenor-person-key>
<lecturers>
<lecturer>Prof. Dr. Maximilian Altmeyer</lecturer>
<lecturer-person-key>mat</lecturer-person-key>
</lecturers>
<objectives>The students will be able to define the most important concepts from the computability and complexity theory and explain them using examples. They can understand the basic mathematical properties of hardware and software and are able to identify and apply theoretical concepts that solve practical problems. Students can explain the principal limitations to which certain problems are subject and analyze new problems with regard to these limitations.

The students can determine the complexity of problems regarding runtime and storage space and implement this knowledge to draw conclusions about the practical implementation of algorithms.
</objectives>
<content>1   Automata and languages
       * Finite and infinite automata
       * Regular expressions
       * Kleene&quot;s recursion theorem
       * Quotient automaton
2   Computability theory
       * Turing machines
       * Church-Turing thesis
       * Generators
       * Decidability
       * Reduction
3   Complexity theory
       * Time complexity
       * NP-completeness
       * Space complexity

</content>
<media>Lecture, exercises, discussions</media>
<literature>SIPSER Michael: Introduction to the theory of computation, Course Technology, 3rd edition, 2012
SAKAROVITCH Jacques: Elements of Automata Theory, Cambridge University Press, 2009

</literature>
<offered>
</offered>
<moduldb-query>Thu Jun 11 06:19:13 CEST 2026, CKEY=pbk, BKEY=dim, CID=[?], LANGUAGE=en, DATE=11.06.2026</moduldb-query>
</document>
