Advanced course focusing on areas on the border between computer science and discrete mathematics and covering modern techniques for construction of efficient algorithms.
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Content and learning outcomes
The course will describe and analyze a number of algorithms for combinatorial computational problems.
Algorithmic concepts: Randomized algorithms, approximation algorithms, fixed-parameter algorithms.
Intended learning outcomes
After passing the course, the student should be able to
- explain different advanced algorithmic concepts such as randomized algorithms, approximation algorithms, fixed-parameter algorithms
- analyze, select, use, and verify algorithms that are based on the above concepts,
- develop efficient algorithms that are based on the above concepts,
- independently explore existing advanced algorithms, implement them, and improve them using heuristics,
- communicate algorithmic ideas in a clear, formal way
in order to
- construct and evaluate computer programs that use computer resources efficiently.
Literature and preparations
- Knowledge in algorithms and complexity, 7,5 credits, corresponding completed course DD1352/DD2350/DD2352.
- Knowledge in discrete mathematics, 7,5 credits, corresponding to completed course SF1610/SF1662/SF1679/SF1688.
Probability theory and statistics equivalent to SF1912/SF1914/SF1915/SF1916/SF1920/SF1921/SF1922/SF1923/SF1924.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- ÖVN1 - Exercise, 6.0 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.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
- 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.
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.Course web DD2440
Main field of study
Please discuss with the instructor.
In this course, the EECS code of honor applies, see: