### Messages

### Timetable

### Material

We follow approximately chapters 1-5 of the book Arora, S., Barak, B. Computational Complexity: A Modern Approach. A draft of the book is available on the authors' page http://theory.cs.princeton.edu/complexity/

Another good text is

C. H. Papadimitriou: Computational complexity (1994)

### Tasks

### Conduct of the course

The course is evaluated based on a final exam and the exercises the student solved during the course.

The course exam will be organized in the December general exam of the department (11.12. at 16-19). A second possibility is offered in the January general exam. Please note that you need to sign up for the exam separately.

### Description

Optional course.

Master's Programme in Mathematics and Statistics is responsible for the course.

The course belongs to the Mathematics and Applied mathematics module.

The course is available to students from other degree programmes.

Routine in mathematics

Master studies

The course is an introductory course to computational complexity theory.

Recommended time/stage of studies for completion: 1. or 2. year

Term/teaching period when the course will be offered: varying

Turing machines, basic complexity classes, hierarchy theorems, reductions and completeness

C. H. Papadimitriou: Computational complexity (1994); S. Arora and B. Barak: Computational complexity: a modern approach (2009)

Lectures and exercise classes

Exam and excercises, Course will be graded with grades 1-5

Exam, other methods will be described later