The course is included in these curricula and study modules
- Information technology 2014 - Analytical methods and data science
- Information technology 2015 - Analytical methods and data science
- Information technology 2016 - Analytical methods and data science
- Information technology 2017 - Analytical methods and data science
- Information technology 2018 - Web and visualization
- Information technology 2019 - Web and visualization
- Business administration 2014 (logistics) - Web and visualization ii
- Business administration 2014 (marketing) - Web and visualization ii
- Business administration 2014 (tourism) - Web and visualization ii
- Business administration 2015 (logistics) - Web and visualization ii
- Business administration 2015 (marketing) - Web and visualization ii
- Business administration 2015 (tourism) - Web and visualization ii
- Business administration 2016 (logistics) - Web and visualization ii
- Business administration 2016 (marketing) - Web and visualization ii
- Business administration 2016 (tourism) - Web and visualization ii
- Information- and mediatechnology 2012 (media technology) - Web technology
- Information- and mediatechnology 2013 (media technology) - Web technology
The course takes place in period
4 (2020-03-23 to 2020-07-31)
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 teach students to
read
graphs, handle data, read charts, make charts
and
to
use the JavaScript library D3.js for
visualization of data.
Learning outcomes
At the end of the course the student is
expected
to be able to visualize data both conceptually
and
on a web page using the JavaScript library
D3.js.
The student is expected to be able to
understand
and create charts as well as graphs.
Course contents
Data visualization on Websites with the Data-
Driven Documents library D3.js:
- Line charts
- Dot charts
- Pie charts
- Histograms
- Box plots
- Network graphs
Prerequisites and co-requisites
Web Development
Front-end programming
Statistics and probability
Study activities
- Lectures - 50 hours
- Practical exercises - 20 hours
- Individual studies - 30 hours
Workload
- Total workload of the course: 100 hours
- Of which autonomous studies: 100 hours
- Of which scheduled studies: 0 hours
Mode of Delivery
Participation in tuition
Assessment methods
Assessment requirements
Projects and exercises.
Teacher
- Biström Dennis
- Karlsson Jonny
Examiner
Biström Dennis
Home page of the course
Group size
No limit (35 students enrolled)
Assignments valid until
12 months after course has ended
Course enrolment period
2020-03-09 to 2020-04-05
Assessment methods
Date will be announced later - Other assignments
Date | Time | Room | Title | Description | Organizer |
---|---|---|---|---|---|
2020-04-20 | 09:15 - 14:00 | F365 | Visualisering av information | Biström Dennis | |
2020-04-27 | 09:15 - 14:00 | F365 | Visualisering av information | Biström Dennis | |
2020-05-04 | 09:15 - 14:00 | F365 | Visualisering av information | Biström Dennis | |
2020-05-07 | 09:15 - 14:00 | F365 | Visualisering av information | Biström Dennis | |
2020-05-11 | 09:15 - 14:00 | F365 | Visualisering av information | Biström Dennis | |
2020-05-15 | 09:15 - 14:00 | F365 | Visualisering av information | Kodtillfälle #1 | Biström Dennis |
2020-05-18 | 09:15 - 14:00 | F365 | Visualisering av information | Biström Dennis | |
2020-05-22 | 09:15 - 14:00 | F365 | Visualisering av information | Biström Dennis | |
2020-05-25 | 09:15 - 14:00 | F365 | Visualisering av information | Kodtillfälle #2 | Biström Dennis |
2020-05-29 | 09:15 - 11:15 | E387 | Visualisering av information | Presentationstillfälle | Biström Dennis |
2020-05-29 | 12:00 - 14:15 | E387 | Visualisering av information | Presentationstillfälle | Biström Dennis |