Introduction to programming

This course provides basic knowledge in programming with a specific focus on providing a solid background knowledge to understand and implement data science algorithms.

First, you will be introduced to basic programming, including an overview of programming tools and essential terminology.

Next, the course will delve into Python syntax and explore important data structures such as trees and lists, which are required to understand algorithms used in data science. The course also introduces common programming concepts such as iteration, recursion, object-oriented programming and file management. In addition, essential algorithms frequently used in data science, such as sorting and searching, will be covered.

Finally, the course will introduce you to computational programming concepts, emphasizing in particular their relevance to handling numerical data in the field of data science.

The language of instruction is English.


Teaching Format

The teaching activities consist of lectures, exercises and tutoring.


Assessment

The course is examined through:

  • on-campus written exam and
  • assignments.

Examiner


The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
Note that the course literature can be changed up to two months before the start of the course.


Course reports are displayed for the three most recent course instances.








Study counsellors

Margrét Håkansson and Mitra Wijkman

master@dsv.su.se
+468161686

Visiting hoursPlease contact us via email if you want to book a meeting. We are available on Campus in Kista and via Zoom.

Phone hoursThursday 12.30–2 pm

Irregular office hoursFirst phone hours for spring 2026: Thursday 15 January

Cookie settings

By allowing third-party services, you accept their cookies and the use of tracking technologies necessary for them to function properly.