The course content may vary from course offering to course offering. Examples on topics are approximation algorithms, data mining, cryptography, parallel computations and probabilistic algorithms.

After passing the course, the student shall be able to

• discuss advanced concepts within the area of the course
• attack problems within the area of the course actively, both through own work and through search of relevant information
• assimilate and present the essential contents of scientific articles within the area of the course.

Schema HT-2022-SEMTEO22

The course is open to anyone, but the main target audience are advanced Master's students and doctoral students in computer science and mathematics. 

Although the formal prerequisites are quite limited, course participants will need mathematical maturity and a willingness to learn new stuff. It should be noted that this will be a somewhat demanding course. (But hopefully even more fun!)

Students at KTH with a permanent disability can get support during studies from Funka:

Funka - compensatory support for students with disabilities

A, B, C, D, E, FX, F

• ÖVN1 - Exercises, 7.5 credits, Grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Exercises ( ÖVN1 )

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.