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DD1315 Programming Techniques and Matlab 7.5 credits

Administer About course

An introductory course in programming technique with Python. It also provides a short module to introduce MATLAB.

It's possible to participate in the course remotely.

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 DD1315 (Spring 2022–)
Headings with content from the Course syllabus DD1315 (Spring 2022–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Fundamental computer concepts.
Programming in a modern programming language (Python). Data structures and classes. Problem-solving through division into sub-problems. Program structuring. Several smaller programming assignments as well as one larger, individual programming assignment with strong emphasis on structuring and specification of included modules.
Interactive computation, programming and two-dimensional graphical presentation in Matlab.

Intended learning outcomes

Having passed the course, the student should be able to:

  • design programs without code repetitions
  • divide a larger problem in manageable parts
  • divide a program
  • apply control structures
  • design and present user friendly output
  • create flexible applications
  • choose appropriate names of identifiers
  • design interactive programs
  • use and design composite data types (classes)
  • transfer data between file and program,
  • review others' programs
  • handle matrices and use matrix operations in Matlab
  • use existing functions from the Matlab library for computation and visualisation,
  • write own Matlab functions,

in order to be able to

  • use programming to solve problems,
  • apply the problem solving methodology also within other fields than programming,
  • discuss software development with experts
  • assess commercial programs
  • independently and in a group be able to solve problems by designing programs of up to 500 lines in a modern programming language.
  • utilise Matlab as an aid for numerical computations and visualisation in other courses.

Literature and preparations

Specific prerequisites

No information inserted

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

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

Examination

  • MAT1 - Programming Assignments, 1.5 credits, grading scale: P, F
  • LAB3 - Programming Assignments, 3.0 credits, grading scale: A, B, C, D, E, FX, F
  • LAB2 - Programming Assignments, 1.5 credits, grading scale: P, F
  • LAB1 - Programming Assignments, 1.5 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.

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