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DD1343 Computer Science and Numerical Methods, part 1 7.5 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus DD1343 (Autumn 2009–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Introduction to how a computer works and introduction to computer hardware. Programming in a modern programming language (Python). Computer science concepts such as structures for algorithms and data. Principles for data abstraction, modularization, and program structuring.

During the second year the theoretical knowledge is applied in a programming project.

Intended learning outcomes

After passed course the student is expected to be able to:

  • utilize computers to solve technical problems
  • break down problems into smaller manageable problems
  • create user friendly and well-structured programs
  • discuss concepts in computer science with correct terms
  • find and use right technique for a given problem
  • utilize Matlab for graphic utilization.

In more details the student is expected to be able to:

  • utilize right technique to manage error caused by unsuitable program inputs
  • create flexible programs
  • find and use right data structure and technique for a given problem
  • write technical documentation for your own programs.

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

High school mathematics (scientific program). Some computer experience (the concepts of operating system and file and experience from one computer application, e.g. word processing). 5B1115/SF1608 Matematik I.

Equipment

No information inserted

Literature

Will be announced at least 4 weeks before course start at course web page.

Examination and completion

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

Grading scale

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

Examination

  • LAB1 - Laboratory Work, 3.0 credits, grading scale: P, F
  • MAT1 - Calculation Tasks, 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.

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.

Other requirements for final grade

Laboratory assignments (LAB1; 3 university credits)
Written examination (TEN1; 3 university credits)
Laboratory assignment in Matlab (MAT1; 1,5 university credits)

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

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

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

Main field of study

Technology

Education cycle

First cycle

Add-on studies

DN1243 Computer Science and Numerical Methods, part 2.

Contact

Vahid Mosavat, e-post: vahid@kth.se

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.