The course is included in these curricula and study modules
Level/category
Teaching language
Swedish
Type of course
Compulsory
Cycle/level of course
First
Recommended year of study
2
Total number of ECTS
5 cr
Competency aims
The aim of the course is to:
Learn the basics in programming and the logical flow of thought it requires
Familiarize the student with central terms and concepts of data science
Learn how to treat different kind of data
Fetching, formatting and saving data from websites
Learning outcomes
At the end of the course the student is expected to
be able to:
1. Write scripts in Python
2. Fetching data from the internet and saving it to variables
3. Treat and format different kinds of data
4. Saving data in common formats
Course contents
Basics of programming
Syntax, structure and functions
Python and tools/software
Introduction to objects
Prerequisites and co-requisites
None/Introduction to Web Design useful
Recommended or required reading
Python specifications
Online resources and documentation
Videotutorials and learning platforms (eg. Lynda)
The course material is available online and in electronic formats
Study activities
- Lectures - 20 hours
- Practical exercises - 20 hours
- Project- and production work/artistic activities - 53 hours
- Individual studies - 40 hours
Workload
- Total workload of the course: 133 hours
- Of which autonomous studies: 133 hours
- Of which scheduled studies: 0 hours
Mode of Delivery
Multiform education
Assessment methods
Essays, reports, productions and portfolio
Assessment requirements
To pass the course the student should pass the
following examinations:
Course projects accepted within assigned deadlines
Teacher
Biström Dennis
Examiner
Biström Dennis
Home page of the course
Group size
No limit
Assignments valid until
Until further notice
Assessment methods
Date will be announced later - Reports and productions