Programming skills mainly in C and Java. Design and analysis of algorithms: dynamic programming, amortized analysis, estimating the complexity of an algorithm. Algorithms: computational geometry, graph algorithms, number theoretic algorithms, string matching.
DD2462 Advanced Course in Programming and Problem Solving, Part 2 10.0 credits
This course has been discontinued.
Last planned examination: Autumn 2011
Decision to discontinue this course:
No information insertedContent and learning outcomes
Course contents
Intended learning outcomes
The student should be able to:
* correctly solve algorithmic problems while keeping a deadline
* analyze problems and choose appropriate techniques, algorithms and data structers
* use and adapt standard algorithms in areas such as graph theory, number theory and geometry to solve given problems
* work effectively in small groups while meeting deadlines
in order to
* compete successfully in international programming contests.
Literature and preparations
Specific prerequisites
Recommended prerequisites
DD2461 Advanced course in Programming and Problem Solving, Part 1 or corresponding.
Equipment
Literature
None.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LAB1 - Laboratory Work, 10.0 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
Examiner
Ethical approach
- 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
Course room in Canvas
Offered by
Main field of study
Education cycle
Add-on studies
Contact
Supplementary information
The number of participants is limited to 12. Principle of selection: number of course points.