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DD100N Programming Techniques, Web Course 6.0 credits

Administer About course

An online course for programming beginners offered in Swedish.

Get started with the most popular programming language in the world – Python! This course will give you a head start on problem-solving programming.

This introductory Python programming course is a distance learning course with predetermined deadlines for code assignments and quizzes each week or bi-weekly. The course material consists of texts, code examples, and exercises and is done individually. The final oral presentation of the larger code project is mandatory. The students book it, and it will take place during the last week of the course (one hour/student, via Zoom, weekdays during the day). The course has no other scheduled sessions, and the students can work with the material when it suits them.

Tutoring is provided online only. Questions about admission and prerequisites should be sent to info@kth.se (KTH's Central Admissions), and other questions to dd100n-ka@kth.se. All admission to the course is made via antagning.se. For questions about registration, re-registration, and termination of studies, contact the Student Office.

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Autumn 2025 Start 25 Aug 2025 single courses students

Course location

KTH Campus

Duration
25 Aug 2025 - 12 Jan 2026
Periods
P1 (3.0 hp), P2 (3.0 hp)
Pace of study

17%

Application code

10052

Form of study

Distance Daytime

Language of instruction

Swedish

Course memo
Course memo is not published
Number of places

10 - 100

Target group

Non-programme students

Planned modular schedule
[object Object]
Schedule
Schedule is not published
Part of programme
No information inserted

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

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

Course syllabus DD100N (Spring 2024–)
Headings with content from the Course syllabus DD100N (Spring 2024–) 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. Use of simple graphical routines (for grade A). 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.

Intended learning outcomes

After passing 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 and classes
  • transfer data between file and program
  • review others' programs

in order to after the course

  • be able to use programming to solve problems
  • be able to apply the problem solving methodology also in other fields than programming
  • be able to discuss software development with experts
  • be able to assess programs in the magnitude on about five hundred rows of code
  • independently and in a group be able to solve problems by designing programs of up to 500 lines in a modern programming language.

Literature and preparations

Specific prerequisites

The upper secondary course Mathematics 4 or Mathematics D.

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) e. g. the course Preparation Course in Programming and Computer Science.

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

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, 1.5 credits, grading scale: P, F
  • LAB2 - Laboratory Work, 1.5 credits, grading scale: P, F
  • LAB3 - Laboratory Work, 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.

LAB1 and LAB2 have to be passed in order for the student to present any part of LAB3.

Examiner

Profile picture Emma Riese

Profile picture Vahid Mosavat

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 may be counted in your degree:
DD100N, DD1310-DD1319, DD1331, DD1337, DD1340-DD1343, DD1345, DN1212, HI1024, HI1026, ID1004, ID1018, ID1201, ID1301, SF1511, SF1513, SF1516-SF1519.

If you have questions regarding admission, prerequsites or wait list, please contact info@kth.se