Data Visualisation

fakultatywne

Profile of studies: general

Form of studies: full-time

Type of course: optional

Language of the course: English

Scientific discipline: sociological sciences

Prerequisites: none.

Number of teaching hours: 15 hours

Teaching methods: exercises, computer workshop, consultations, tests

ECTS credits: 2

Balance of student workload: participation in classes - 15 hours, consultations - 7 hours, preparation for classes - 20 hours, preparation

for a final test - 5 hours, final test - 3 hours. Total 50 hours.

Student workload related requiring direct teacher participation - 25 hours (1 ECTS). Student workload that does not require the teacher's

direct participation - 25 hours (1 ECTS).

Topics:

1. history and basic functions of data visualisation

2. data visualisation in MS Office or similar environment

3 Chartjunk - ability to critically evaluate and improve data visualisation

4. data visualisation on the Flourish platform

5. data storytelling

Cole Nussbaumer Knaflic, Storytelling with Data: A Data Visualization Guide for Business Professionals, Wiley, 2015.

Chip Heath, Karla Starr, Making Numbers Count: The Art and Science of Communicating Numbers, Avid Reader Press / Simon & Schuster, 2022.

Student:

KP6_UW11 is able to analyse collected quantitative and qualitative data, also with the use of specialized software

KP6_UO2 is able to prepare a multimedia presentation

KP6_KO4 demonstrates an active attitude towards the possibility of improving his/her knowledge, also according to modern technologies

Assessment criteria: attendance, active participation in course (and adequate preparation for classes), final test.

A minimum of 51% of the points obtained by the student is necessary to obtain a positive grade.

Grading scale:

10 points = 5

9 points = 4+

8 points = 4

7 points = 3+

6 points = 3

0-5 points = 2