Last planned examination: Spring 2019
Decision to discontinue this course: No information inserted
A course in computer science focusing on basic theory, models, and methods for classification of data with special emphasis on object recognition in digital images.
After the course you should be able to:
in order to
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Single course students:
SF1604 Linear Algebra, SF1625 Calculus in one variable, SF1626 Calculus in Several Variables, DD1337 Programming or corresponding courses
SF1901 Probability Theory and Statistics, DD2431 Machine Learning
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Föreläsningsanteckningar, delas ut vid kursstart.
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.
In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.
Laboratory assignments (LAB1; 1,5 university credits)
Hand in exercise (INL1; 1,5 university credits)
Examination (TEN1; 3 university credits )
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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 DD2427Computer Science and Engineering
Second cycle
Discuss with course leader.
Josephine Sullivan, tel: 790 6136, e-post: sullivan@kth.se