The course is included in these curricula and study modules

The course takes place in period

4 (2024-03-18 to 2024-07-31)

Level/category

Professional studies

Teaching language

English

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

2

Total number of ECTS

5 cr

Competency aims

In this study unit the focus lies on the following
competencies:

Different kinds of charts for information
visualization.

Programming technologies for creating charts (e.g.
D3.js).

SDG's in focus:
#9 Industry, Innovation and Infrastructure

Learning outcomes

Upon completion of this study unit:

You understand how different charts can be used
for different kinds of information. (Knowledge)

You can utilize D3.js or similar technologies for
creating charts in a web context. (Skills)

You understand how interactivity can improve
information accessibility. (Approach)

Course contents

Data visualization on Websites with the Data-
Driven Documents library D3.js:
- Line charts
- Dot charts
- Histograms
- Network graphs

Introduction to data visualization using Python
and Matplotlib.

Prerequisites and co-requisites

Web Development
Front-End programming
Statistics and probability

Study activities

  • Lectures - 33 hours
  • Individual studies - 102 hours

Workload

  • Total workload of the course: 135 hours
  • Of which autonomous studies: 135 hours
  • Of which scheduled studies: 0 hours

Mode of Delivery

Participation in tuition

Assessment methods

Assessment requirements

Projects, quizzes and exercises.

Teacher

Dayama Niraj

Examiner

Dayama Niraj

Home page of the course

Group size

No limit

Assignments valid until

12 months after course has ended

Course enrolment period

2023-11-24 to 2023-12-22

Assessment methods

Date will be announced later - Other assignments

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