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DD1345 Fundamentals of Programming and Computer Science 7.5 credits

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Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DD1345 (Autumn 2009–)
Headings with content from the Course syllabus DD1345 (Autumn 2009–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Basic programming in Python
  • Classical data structures: stacks, queues, lists, trees, graphs,hash tables
  • Algorithms and algorithms analysis: searching and sorting,optimization, pattern matching, complexity measures,theoretical limits
  • Abstraction techniques: abstract data types, interfaces
  • Problem solving techniques: recursion, hierarchical decomposition,abstraction
  • Programming and visualization in Matlab

Intended learning outcomes

After the course, the student should be able to

  • use the algorithms and the data structures in the course to dealsuccessfully with practical problems of the types occurring in labsand exams (these are all on the web), 
  • analyse the properties of algorithms in practical problems of thetypes occurring in labs and exams,
  • use Matlab for calculations and visualization of mathematicalproblems

in order to

  • develop computer scientific thinking and thereby efficientlysolve programming problems.

Literature and preparations

Specific prerequisites

For single course students: completed upper secondary education including documented proficiency in Swedish corresponding to Swedish B, English corresponding to English A. Furthermore: 7,5 hp in mathematics and 6 hp in computer science or programming techniques.

Literature

Course literature will be announced at least 4 weeks before course start at course home page.

Examination and completion

Grading scale

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

Examination

  • LAB2 - Laboratory Work, 1.5 credits, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F
  • LAB1 - Laboratory Work, 3.0 credits, grading scale: P, 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.

If the course is discontinued, students may request to be examined during the following two academic years.

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.

Examiner

No information inserted

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

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Computer Science

Main field of study

Technology

Education cycle

First cycle

Supplementary information

Only one of the following courses can be counted in your degree: DD100N, DD1310, DD1311, DD1312, DD1314, DD1315, DD1340, DD1341, DD1342, DD1343, DD1345, DN1212, HI1024, HI1026, ID1004, ID1301.