An introductory course in computer science and programming practise.
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Content and learning outcomes
Advanced programming in Matlab. Program quality. Testing and error search. Datatypes: boolean, integer, float, array, struct, object. Abstract data types: stack, queue, tree. Searching, sorting, recursion. Hashing. The C programming language. Applications to problems in computer science and numerical analysis.
Intended learning outcomes
An overall goal with the course is to improve the programming technique and the knowledge about program and data structures. This course is given within the Master program Scientific Computing to give the necessary prerequisites for following courses in visualization, parallel programming and high performance computing but can also be taken as an independent course in computer science for English speaking students.
After completing the course the student should be able to
- write structured programs in Matlab and small programs C
- do systematic error search in programs
- describe and use different data types
- use abstraction as a tool to simplify programming
- choose a suitable algorithm for a given problem
- compare algorithms with respect to time and memory needs, complexity
- describe algorithms for searching and sorting
- formulate and implement recursive algorithms
- describe fundamental algorithms for compression
- implement and use stacks, queues, trees, hash tables and hash functions
- use priority queues.
Literature and preparations
Degree of Bachelor of Science or corresponding and 15 university credits in mathematics and 6 univeristy credits in computer science or programming techniques. English B, or equivalent.
Degree of Bachelor of Science or corresponding and one elementary course in programming (e.g. Matlab, Pascal, C, etc) and computer science.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- LAB1 - Laboratory Work, 1.5 credits, grading scale: P, F
- LAB2 - Laboratory Work, 1.5 credits, grading scale: P, F
- LAB3 - Laboratory Work, 1.5 credits, grading scale: P, F
- TEN1 - Examination, 3.0 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 DD2325
Main field of study
The course is given in English.
Only one of the following courses can be counted in your degree: DD2325, DD1320, DD1321, DD1325, DD1327, DD1338, DD1339, DD1340, DD1341, DD1343, DD1344, DD1345, EL2310, HI1201, ID1020.
In this course, the EECS code of honor applies, see: