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DD1342 Program Construction 6.0 credits

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 DD1342 (Autumn 2008–)
Headings with content from the Course syllabus DD1342 (Autumn 2008–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The basics of a modern programming language. The programming language
used is Java.

Computer science concepts.

Modularization and program structuring.

Applications in modelling and simulation.

Intended learning outcomes

After completing this course the students will be able to

  * Write small imperative programs.
  * Use control structures and functions.
  * Design and implement simple graphic interfaces.
  * Explain the ADT notion and exemplify its usability.
  * Use ADT:s to solve given programming problems.
  * Describe the MVC model for program structuring and
    how it can be extended to program a physical simulation.
  * Use the extended MVC model to write a program for a given
    pysical simulation or animation.
  * Describe basic concepts in object oriented programming:
    class, object, interface, reference and inheritance.
  * For a given programming task, implement a well modularized
    program where objects are used both as modules and as data.
  * Understand and use program documentation.
  * Discuss programming using computer science terms.

  grades C, D and E will be based on the degree of
  achievement of the learning outcomes above.
 
  For grades A and B:

  * Choose a problem and design and implement a modularized
    program, individually (for grade A) or together with
    another student (grade B).

  For grade A:

  * Write documentation of how to use the program and its modules.
  * Write documentation of the construction process for the program.

and therefore they can

  * effectively use computers in their studies and working life,
  * take other courses in computer science and numerical analysis.

Literature and preparations

Specific prerequisites

No information inserted

Literature

To be announced at least 2 weeks before the course start at the web page for the course.

Examination and completion

Grading scale

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

Examination

  • LAB1 - Laboratory Assignments, 6.0 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.

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

Other requirements for final grade

Laboratory assignments (LAB1; 6 university credits).

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

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.