Algorithms and Complexity

Theoretical Computer Science - Bridging Course
Graduate Course - Winter Term 2022/23
Fabian Kuhn


Course Description

The aim of the course is to provide basic knowledge of theoretical computer science to computer science M.Sc. students who do not yet have this necessary background (e.g., because of a different major during their undergraduate studies). The course introduces the (mathematical) foundations of theoretical computer science. We will see what can be computed and how efficiently, as well as what cannot. More specifically, the following topics will be included:

  • Automata
  • Formal languages
  • Formal grammars
  • Turing machines
  • Decidability
  • Complexity theory
  • Logic

Course Format

The course is based on existing recordings provided by Diego Tipaldi combined with weekly interactive exercise lessons. This will prepare the participants for the final exam.


In conjunction with the the recorded lecture we offer weekly exercise lessons. The exercise lessons will take place in person every Monday at 10:15 - 12:00 in building 106, seminar room 106-04-007 on the 4th floor. We will also enable participation via Zoom for the the students who cannot join us physically. The link on how to access the Zoom meeting is available in the data access section below


There will be an introductory session in the first week of the semester on Monday, 17.10.2022 at 10:15 in building 106, seminar room 106-04-007 on the 4th floor.

Data Access

Zulip: An instant messaging platform (Zulip) is offered for all students to discuss any issues related to the course whether among themselves or with the tutor. To join Zulip, click on the invitation link which is also given here.

Zoom: The link on how to access the weekly Zoom meetings is available here.

Important note: The link on how to access Zoom or join Zulip can only be accessed from within the university network (i.e., use VPN to access the page from home or access the internet via the university eduroam).

Course Material

The course is based on existing recordings provided by Diego Tipaldi

Topic Slides Recordings
Introduction PDF n/a
Mathematical Preliminaries PDF MP4 (44:30)
DFA, NFA, Regular Languages PDF MP4 (1:14:04)
Closure of Regular Languages
Regular expressions MP4 (1:37:55)
Non-regular languages MP4 (22:12)
Context Free Grammars I PDF MP4 (1:34:09)
Context Free Grammars II MP4 (42:00)
Pushdown Automata MP4 (1:11:18)
Pumping Lemma for Context Free Grammars MP4 (1:29:51)
Turing Machines I PDF MP4 (52:31)
Turing Machines II MP4 (1:23:03)
Decidability and decidable languages PDF MP4 (52:54)
Decidability, Cardinality, Cantor's diagonal argument MP4 (1:15:40)
Decidability and the Halting Problems MP4 (12:50)
Complexity I PDF MP4 (1:28:51)
Complexity II MP4 (1:34:27)
Complexity III MP4 (1:28:08)
Propositional Logic and basic definitions, CNF/DNF, logical entailment. PDF MP4 (37:11)
Propositional Logic, Deduction/Contraposition/Contradiction Theorems MP4 (1:00:14)
Propositional Logic, Derivations, Soundness and Completeness of calculi MP4 (53:16)
Propositional Logic, Refutation-completeness and Resolution MP4 (04:16)
First Order Logic, Derivations PDF MP4 (46:47)
First Order Logic, Satisfaction, Closed Formulae, Overview on Normal Forms MP4 (1:39:04)

Text Books:

[sipser] Introduction to the Theory of Computation
Michael Sipser
PWS Publishing, 1997, ISBN 0-534-95097-3
[HMU] Introduction to Automata Theory, Languages, and Computation
John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman
Addison-Wesley, 3rd edition, 2006, ISBN 81-7808-347-7
[mendelson] Introduction to Mathematical Logic
Elliott Mendelson
CRC Press, 6th edition, 2015, ISBN-13: 978-1482237726
[enderton] A Mathematical Introduction to Logic
Herbert B. Enderton
Academic Press, 2nd edition, 2001, ISBN-13: 978-0122384523