(in Polish) The practical application of Big Data in the work of a sociologist 480-SS1-2TBD1

Study profile: General academic

Form of studies: Full-time

Course type: Compulsory, Module_18/19, Elective, Practical

Level of education: First-cycle (Bachelor’s) studies

Field and discipline: Social sciences, sociology

Year/semester: Year II, semester IV

Number of teaching hours by type: 30 hours of laboratory classes

Teaching methods:
Laboratory, workshops, individual and group work, homework assignments, continuous assessment, recording of work performed during classes

Type of course

elective courses

Prerequisites (description)

Ability to use open-source software designed for processing large datasets, visualization, and computations. Data entry, importing, transformation, report creation, tables, charts, and visualizations.

Course coordinators

Piotr Laskowski

Learning outcomes

KP6_WG1 – knows and understands the definitions of the most important sociological terms and is able to identify specific issues addressed by sociology
KP6_UW8 – is able to identify social problems of a selected community/group and to analyze, assess, and propose solutions to them
KP6_KO1 – is determined to improve their social skills
KP6_KO2 – is open to group work, able to take on various roles within a team, and recognizes the need for creative team leadership

Assessment criteria

Teaching methods: Laboratory classes
Form of course completion: Graded credit

Continuous assessment during classes (assignments)
Possible final assessment in the form of a project based on a selected dataset (calculations, data transformations, data visualizations)

Bibliography

Big data, nauka o danych i AI bez tajemnic. Podejmuj lepsze decyzje i rozwijaj swój biznes! Autor: David Stephenson, 2019 Helion
Big Data. Rewolucja, która zmieni nasze myślenie, pracę i życie, Autor: Mayer-Schonberger Viktor , Cukier Kenneth, 2014 MT Biznes
Big Data and Social Science, Autorzy: Foster I., Ghani R., Jarmin R.S., Kreuter F., Lane J., (Eds.), 2016 Taylor & Francis Inc
Big Data Visualization (ebook)Książka w języku angielskim Autor: James D. Miller, 2017 Helion

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 480-SS1-2TBD1 in USOSweb