Complexity Theory studies the computational properties of decision problems. In this course, we introduce some of
the most important notions of complexity theory. We define the basic complexity classes (P, NP, PSpace, etc.) and
provide tools for showing that a problem belongs to, or is as hard as any problem in these classes.
The course is aimed to students with little or no knowledge of the topic.
Chair of Automata Theory
Institute of Theoretical Computer Science
Faculty of Computer Science
Technische Universität Dresden
Institute of Theoretical Computer Science
Faculty of Computer Science
Technische Universität Dresden
Introduction to Complexity Theory
Dr. Rafael Peñaloza
Course Description
Organisation
The lecture takes place once a week. Additionally, there is a
fortnightly tutorial held by
Dr. Marcel Lippmann.
Exercise sheets will be available approximately one week before the
tutorials.
The lectures and the tutorials will take place in room E05 at the following times: Mondays 13:00-14:30 and Tuesdays 9:20-10:50. The exact distribution of lectures and tutorials can be found in the table below.
The lectures and the tutorials will take place in room E05 at the following times: Mondays 13:00-14:30 and Tuesdays 9:20-10:50. The exact distribution of lectures and tutorials can be found in the table below.
Monday | Tuesday | |
13 Oct. – 17 Oct. | — | Lecture |
20 Oct. – 24 Oct. | — | Lecture |
27 Oct. – 31 Oct. | Tutorial (exercise sheet 1) |
Lecture |
3 Nov. – 7 Nov. | — | Lecture |
10 Nov. – 14 Nov. | Tutorial (exercise sheet 2) |
Lecture |
17 Nov. – 21 Nov. | — | Lecture |
24 Nov. – 28 Nov. | Lecture | Lecture |
1 Dec. – 5 Dec. | Tutorial (exercise sheet 3) |
Lecture |
8 Dec. – 12 Dec. | — | Lecture |
15 Dec. – 19 Dec. | Tutorial (exercise sheet 4) |
Lecture |
5 Jan. – 9 Jan. | — | — |
12 Jan. – 16 Jan. | Tutorial (exercise sheet 5) |
Lecture |
19 Jan. – 23 Jan. | — | Lecture |
26 Jan. – 30 Jan. | Tutorial (exercise sheet 6) |
Lecture |
2 Feb. – 6 Feb. | — | Lecture |
SWS/Modules
SWS: 2/1/–
This course can be used in the following modules:
This course can be used in the following modules:
- Bachelor-Studiengang Informatik: INF-B-510 (Vertiefung), INF-B-520 (Vertiefung zur Bachelor-Arbeit)
- Master/Diplom-Studiengang Informatik: INF-BAS6 (Theoretische Informatik), INF-VERT6 (Theoretische Informatik)
- Master in Computational Logic: MCL-TCSL (Theoretical Computer Science and Logic), MCL-PI (Principles of Inference), MCL-KR (Knowledge Representation), MCL-MV (Modeling and Verification)
- Diplom-Studiengang Informatik (Studienordnung 2004): Fachgebiet Theorie der Programmierung, Fachgebiet Intelligente Systeme
Literature
The following books are relevant for the lecture:
- Christos H. Papadimitriou. Computational Complexity, Addison Wesley, 1994.
- Michael Sipser. Introduction to the Theory of Computation, PWS, 1997.