Digital Skills Programme
The University of Lucerne offers its students courses to strengthen their digital skills. Take a look at the current course offerings below. Courses are open to Master and doctoral students of all faculties as well as postdoctoral researchers at the University of Lucerne. They are particularly recommended for students of the programme Lucerne Master in Computational Social Sciences (LUMACSS).
Course Offer
Introduction to Machine Learning in R
Nicolas Attalides
Course dates:
Friday, 26 September, 9.30 a.m. to 4.30 p.m. - on-site in room 4.B54
Saturday, 27 September, 9.30 a.m. to 4.30 p.m. - on-site in room 4.B54
Friday, 3 October, 9.30 a.m. to 4.30 p.m. - online
Friday, 10 October, 9.30 a.m. to 4.30 p.m. - online
Credits: 2 ECTS
Mode: first block in-person (room 4.B54), second block online
Limit: Max. 15 participants, first come, first serve
Please note: Course participants are expected to have a good working knowledge of the R programming language. It is assumed that participants have some prior experience in basic data analysis (such as data manipulation and visualisation) and a basic understanding of statistics.
Registration is closed!
Introduction to Statistics in R
Nicolas Attalides
Course dates:
Saturday, 4 October, 9.30 a.m. to 4.30 p.m.
Saturday, 11 October, 9.30 a.m. to 4.30 p.m.
Credits: 1 ECTS
Mode: online
Limit: Max. 15 participants, first come, first serve
Please note: Basic skills in programming with R are required. Ideally, you have attended an “Introduction to R” course or have been coding in R for a few months. This course does not require any previous knowledge of statistics.
Registration is closed!
Bluesky Data: Collection, Cleaning, and Analysis
Resul Umit
Course dates:
Friday, 17 October, 10 a.m. to 4.30 p.m.
Saturday, 18 October, 10 a.m. to 4.30 p.m.
Friday, 24 October, 10 a.m. to 4.30 p.m.
Saturday, 25 October, 10 a.m. to 4.30 p.m.
Credits: 2 ECTS
Mode: online
Limit: Max. 15 participants, first come, first serve
Please note: Participants should have basic knowledge of the R programming language, such as working with data frames and basic functions.
Registration is closed!
Introduction to Building Packages in R and Version Control
Nicolas Attalides
Course date:
Saturday, 8 November, 9.30 a.m. to 4.30 p.m.
Credits: 0.5 ECTS
Mode: online
Limit: Max. 15 participants, first come, first serve
Please note: Course participants are expected to have some basic knowledge of the R programming language. Prior experience in basic data analysis (such as data manipulation and visualisation) or writing functions would help the learning experience but is not required.
Registration is closed!
Experimental (Survey) Methods in Social Sciences
Emma Hoes & Jonathan Klüser
Course dates:
Friday, 14 November, 9.15 a.m. to 4.30 p.m. - on-site in room HS 3
Saturday, 15 November, 9.15 a.m. to 4.30 p.m. - on-site in room 3.B57
Friday, 21 November, 9.15 a.m. to 4.30 p.m. - on-site in room 1.507 (1. floor above Baloo)
Saturday, 22 November, 9.15 a.m. to 4.30 p.m. - on-site in room 3.B47
Credits: 3 ECTS
Mode: on-site
Limit: Max. 15 participants, first come, first serve
Please note: No background in experimental methods required, but Students should be familiar with basic research design and be comfortable working in R.
Registration is closed!
Introduction to SQL
Nicolas Attalides
Course dates:
Saturday, 6 December, 9.30 a.m. to 4.30 p.m.
Saturday, 13 December, 9.30 a.m. to 4.30 p.m.
Credits: 1 ECTS
Mode: online
Limit: Max. 15 participants, first come, first serve
Please note: If you want to work within a data team (as a scientist, engineer or analyst), SQL is the must-have tool! No prior knowledge of SQL is required.
THIS COURSE IS FULLY BOOKED - register here to join the waiting list!
Archive
Introduction to Web Scraping and Text Analysis in R
Course dates:
Friday, 7 March 2025, 9.30 a.m. to 4.30 p.m.
Saturday, 8 March 2025, 9.30 a.m. to 4.30 p.m.
Saturday, 15 March 2025, 9.30 a.m. to 4.30 p.m.
Credits: 1.5 ECTS
Mode: remote
Limitationi: max. 15 participants
Classification Algorithms in Text Analytics
Course dates:
28 March 2025, 9.15 a.m. to 5 p.m.
29 March 2025, 9.15 a.m. to 5 p.m.
4 April 2025, 9.15 a.m. to 5 p.m.
5 April 2025, 9.15 a.m. to 5 p.m.
Credits: 4 ECTS
Mode: remote
Limitation: max. 15 participants
Introduction to Shiny in R
Course dates:
Friday, 25 April 2025, 9.30 a.m. to 4.30 p.m.
Saturday, 26 April 2025, 9.30 a.m. to 4.30 p.m.
Credits: 1 ECTS
Mode: remote
Limitation: max. 15 participants
Telling stories with Data - A Hands-on Introduction to Data Journalism
Course dates:
31 May 2025, 9.30 a.m. to 5 p.m.
6 June 2025, 9.30 a.m. to 5 p.m.
Credits: 1.5 ECTS
Mode: remote
Limitation: max. 15 participants
Requirements: participants need to demonstrate basic knowledge of R, statistics, and coding in R
Registration
TikTok: Theories, Tools, and Techniques for Content Analysis
Course dates:
28 September 2024, 10 a.m. to 4.30 p.m.
5 October 2024, 10 a.m. to 4.30 p.m.
7 December 2024, 10 a.m. to 4.30 p.m.
Credits: 2 ECTS
Mode: Day 1 & 2 online, day 3 on-site
Limitation: max. 20 participants
Introduction to Machine Learning in R
Course dates:
19 October 2024, 9.30 a.m. to 4.30 p.m.
25 October 2024, 9.30 a.m. to 4.30 p.m.
26 October 2024, 9.30 a.m. to 4.30 p.m.
Credits: 1.5 ECTS
Mode: remote
Limitation: max. 15 participants
Introduction to Statistics in R
Course dates:
29 November 2024, 9.30 a.m. to 4.30 p.m.
30 November 2024, 9.30 a.m. to 4.30 p.m.
Credits: 1 ECTS
Mode: remote
Limitation: max. 15 participants
Introduction to Visualisations in R
Course dates:
Saturday, 7 December 2024, 9.30 a.m. to 4.30 p.m.
Saturday, 14 December 2024, 9.30 a.m. to 4.30 p.m.
Credits: 1 ECTS
Mode: remote
Introduction to Building Packages in R and Version Control
Course dates:
Sunday, 8 December 2024, 9.30 a.m. to 4.30 p.m.
Credits: 0.5 ECTS
Mode: remote
Automated Image and Video Analysis
Course dates:
25 January 2024, 9.30 a.m. to 5.00 p.m.
26 January 2024, 9.30 a.m. to 5.00 p.m.
27 January 2024, 9.30 a.m. to 5.00 p.m.
Registration deadline: 23 January 2024
Credits: 1.5 ECTS
Mode: on site
Thursday and Friday: 3.B55
Saturday: 3.B52
limitation: max. 20 participants
Introduction to R
Course dates:
23 February 2024, 9.30 a.m. to 4.30 p.m.
24 February 2024, 9.30 a.m. to 4.30 p.m.
Registration deadline: 11 February 2024
Credits: 1 ECTS
Mode: remote
limitation: max. 15 participants
Introduction to Shiny in R
Course dates:
1 March 9.30 a.m. to 4.30 p.m.
2 March 9.30 a.m. to 4.30 p.m.
Registration deadline: 18 February 2024
Credits: 1 ECTS
Mode: remote
limitation: max. 15 participants
Big Data Analytics
Course dates:
15 March 2024, 9.15 a.m. to 5 p.m.
16 March 2023, 9.15 a.m. to 5 p.m.
22 March 2023, 9.15 a.m. to 5 p.m.
23 March 2023, 9.15 a.m. to 5 p.m.
Registration deadline: 28 February 2024
Credits: 4 ECTS
Mode: remote
limitation: max. 15 participants
Data wrangling and visualization with Tidyverse
Course dates:
6 April 2024, 9.30 a.m. to 4.30 p.m.
27 April 2024, 9.30 a.m. to 4.30 p.m.
Registration deadline: 21 March 2024
Credits: 1 ECTS
Mode: remote
limitation: max. 15 participants
Introduction to Web Scraping and Text Analysis in R
Course dates:
12 April 2024, 9.30 a.m. to 4.30 p.m.
13 April 2024, 9.30 a.m. to 4.30 p.m.
Registration deadline: 28 March 2024
Credits: 1 ECTS
Mode: remote
limitation: max. 15 participants
Introduction to Machine Learning in R
Course dates:
10 May 2024, 9.30 a.m. to 4.30 p.m.
11 May 2024, 9.30 a.m. to 4.30 p.m.
Registration deadline: 25 April 2024
Credits: 1 ECTS
Mode: remote
limitation: max. 15 participants
Introduction to Visualisations in R
Course dates:
17 May 2024, 9.30 a.m. to 4.30 p.m.
18 May 2024, 9.30 a.m. to 4.30 p.m.
Registration deadline: 2 May 2024
Credits: 1 ECTS
Mode: remote
limitation: max. 15 participants
Introduction to Building Packages in R and Version Control
Course dates:
1 June 2024, 9.30 a.m. to 4.30 p.m.
Registration deadline: 16 May 2024
Credits: 0.5 ECTS
Mode: remote
limitation: max. 15 participants
Introduction to Statistics in R
Course dates:
7 June 2024, 9.30 a.m. to 4.30 p.m.
8 June 2024, 9.30 a.m. to 4.30 p.m.
Registration deadline: 23 May 2024
Credits: 1 ECTS
Mode: remote
limitation: max. 15 participants
Introduction to Shiny in R
Course dates:
22 September 2023, 9.30 a.m. to 4.30 p.m.
23 September 2023, 9.30 a.m. to 4.30 p.m.
Registration deadline: 13 September 2023
Credits: 1 ECTS
Mode: remote
limitation: max. 15 participants
Introduction to Web Scraping and Text Analysis in R
Course dates:
27 October 2023, 9.30 a.m. to 4.30 p.m.
28 October 2023, 9.30 a.m. to 4.30 p.m.
Registration deadline: 11 October 2023
Credits: 1 ECTS
Mode: remote
limitation: max. 15 participants
Experimental (Survey) Methods in Social Sciences
Course dates:
10 November 2023, 9.15 a.m. to 5.00 p.m.
11 November 2023, 9.15 a.m. to 5.00 p.m.
24 November 2023, 9.15 a.m. to 5.00 p.m.
25 November 2023, 9.15 a.m. to 5.00 p.m.
Registration deadline: 27 October 2023
Credits: 2 ECTS
Mode: on site
limitation: max. 20 participants
Canceled due to insufficient registrations
Automated Image and Video Analysis
Course dates:
17 November 2023, 9.30 a.m. to 5.00 p.m.
18 November 2023, 9.30 a.m. to 5.00 p.m.
24 November 2023, 9.30 a.m. to 5.00 p.m.
Registration deadline: 10 November 2023
Credits: 1.5 ECTS
Mode: on site
limitation: max. 20 participants
Canceled due to insufficient registrations
Information Visualizations in R
Course dates:
1 December 2023, 9.30 a.m. to 4.30 p.m.
2 December 2023, 9.30 a.m. to 4.30 p.m.
Registration deadline: 15 November 2023
Credits: 1 ECTS
Mode: remote
limitation: max. 15 participants
Building packages in R and version control
Course dates:
16 December 2023, 9.30 a.m. to 4.30 p.m.
Registration deadline: 29 November 2023
Credits: 0.5 ECTS
Mode: remote
limitation: max. 15 participants
Big Data Analytics
Course dates:
17 March 2023, 9.15 a.m. to 5 p.m.
18 March 2023, 9.15 a.m. to 5 p.m.
24 March 2023, 9.15 a.m. to 5 p.m.
25 March 2023, 9.15 a.m. to 5 p.m.
Registration deadline: 1 March 2023
Credits: 4 ECTS
Mode: remote
limitation: max. 15 participants
Introduction to Shiny in R
Course dates:
21 April 2023, 9.30 a.m. to 4.30 p.m.
22 April 2023, 9.30 a.m. to 4.30 p.m.
Registration deadline: 7 April 2023
Credits: 2 ECTS
Mode: remote
limitation: max. 15 participants
Introduction to web scraping and text analysis in R
Course dates:
2 June 2023, 9.30 a.m. to 4.30 p.m.
9 June 2023, 9.30 a.m. to 4.30 p.m.
Registration deadline: 17 May 2023
Credits: 2 ECTS
Mode: remote
Registration
limitation: max. 15 participants
Information Visualizations in R
Course dates:
16 June 2023, 9.30 a.m. to 4.30 p.m.
17 June 2023, 9.30 a.m. to 4.30 p.m.
Registration deadline: 1 June 2023
Credits: 2 ECTS
Mode: remote
Registration
limitation: max. 15 participants
Introduction to Shiny in R
Course dates:
14 October 2022, 9.30 a.m. to 4.30 p.m.
21 October 2022, 9.30 a.m. to 4.30 p.m.
Registration deadline: 30 September 2022
Credits: 2 ECTS
Mode: remote
Building packages in R and version control
Course dates:
4 November 2022, 9.30 a.m. to 4.30 p.m.
Registration deadline: 21 October 2022
Credits: 1 ECTS
Mode: remote
Information Visualizations in R
Course dates:
18 November 2022, 9.30 a.m. to 4.30 p.m.
25 November 2022, 9.30 a.m. to 4.30 p.m.
Registration deadline: 4 November 2022
Credits: 2 ECTS
Mode: remote
Introduction to web scraping and text analysis in R
Course dates:
2 December 2022, 9.30 a.m. to 4.30 p.m.
Registration deadline: 18 November 2022
Credits: 1 ECTS
Mode: remote
Web-Scraping with R
Course dates:
4 March 2022, 9.15 a.m. to 4.45 p.m.
5 March 2022, 9.15 a.m. to 1.00 p.m.
Registration deadline: 18 February 2022
Credits: 1 ECTS
Mode: tbd
Working with Twitter Data in R
Course dates:
7 March 2022, 9.15 a.m. to 4.45 p.m.
8 March 2022, 9.15 a.m. to 4.45 p.m.
Registration deadline: 20 February 2022
Credits: 2 ECTS
Mode: tbd
Big Data Analytics
Course dates:
9 March 2022, 9.15 a.m. to 4.45 p.m.
10 March 2022, 9.15 a.m. to 4.45 p.m.
17 March 2022, 9.15 a.m. to 4.45 p.m.
18 March 2022, 9.15 a.m. to 4.45 p.m.
Registration deadline: 22 February 2022
Credits: 4 ECTS
Mode: tbd
Computational Game Theory
Course dates:
21 March 2022, 9.15 a.m. to 4.45 p.m., HS13 Frohburgstrasse 3
22 March 2022, 9.15 a.m. to 4.45 p.m., HS13 Frohburgstrasse 3
Further information
Registration deadline: 6 March 2022
Credits: 2 ECTS
Mode: on site
Populism in time of Computational Social Sciences
Course dates:
28 March 2022, 9.15 a.m. to 4.45 p.m., HS13 Frohburgstrasse 3
29 March 2022, 9.15 a.m. to 4.45 p.m., HS13 Frohburgstrasse 3
Registration deadline: 13 March 2022
Credits: 2 ECTS
Mode: on site
Creating web application in R using Shiny
Course dates:
1 April 2022, 9.15 a.m. to 4.45 p.m.
8 April 2022, 9.15 a.m. to 4.45 p.m.
Registration deadline: 18 March 2022
Credits: 2 ECTS
Mode: tbd
Researching and assessing digital trade policies
Course dates:
13 April 2022, 9.15 a.m. to 4.45 p.m., 2.A23 Frohburgstrasse 3
14 April 2022, 9.15 a.m. to 4.45 p.m., 214 Inseliquai 10
Registration deadline: 28 March 2022
Credits: 2 ECTS
Mode: on site
Creating Academic Personal Websites
Course dates:
28 April 2022, 1.00 p.m. to 5.00 p.m.
29 April 2022, 9.15 a.m. to 4.45 p.m.
Registration deadline: 13 April 2022
Credits: 1 ECTS
Mode: remote
Introduction to Machine Learning in R
Course dates:
6 May 2022, 9.15 a.m. to 4.45 p.m.
13 May 2022, 9.15 a.m. to 4.45 p.m.
Registration deadline: 22 April 2022
Credits: 2 ECTS
Mode: remote
Spatial Data Analysis for Social Scientists
Course dates:
24 September 2021, 1.00 p.m. to 5.00 p.m.
25 September 2021, 1.00 p.m. to 5.00 p.m.
28 September 2021, 1.00 p.m. to 5.00 p.m.
29 September 2021, 1.00 p.m. to 5.00 p.m.
Registration deadline: 17 September 2021
Credits: 2 ECTS
Mode: remote
Quantitative Text Analysis for Beginners Using R and quanteda
Course dates:
1 October 2021, 9.15 a.m. to 4.45 p.m.
15 October 2021, 9.15 a.m. to 4.45 p.m.
29 October 2021, 9.15 a.m. to 4.45 p.m.
Registration deadline: 17 September 2021
Credits: 3 ECTS
Mode: remote
Introduction to Python
Course dates:
19 October 2021, 1.00 p.m. to 5.00 p.m.
20 October 2021, 1.00 p.m. to 5.00 p.m.
28 October 2021, 1.00 p.m. to 5.00 p.m.
5 November 2021, 1.00 p.m. to 5.00 p.m.
Registration deadline: 4 October 2021
Credits: 2 ECTS
Mode: remote
Introduction to Programming for App Development
Course dates:
10 November 2021, 12 p.m. to 4 p.m.
11 November 2021, 12 p.m. to 4 p.m.
18 November 2021, 12 p.m. to 4 p.m.
19 November 2021, 12 p.m. to 4 p.m.
Registration deadline: 26 October 2021
Credits: 2 ECTS
Mode: remote
Data Visualization for Social Sciences
Course dates:
13 May 2022, 9.15 a.m. to 4.45 p.m.
14 May 2022, 9.15 a.m. to 4.45 p.m.
Registration deadline: 5 May 2022
Credits: 2 ECTS
Mode: remote
App Development
Course dates:
11 May 2022, 12 p.m. to 4 p.m.
12 May 2022, 12 p.m. to 4 p.m.
19 May 2022, 12 p.m. to 4 p.m.
20 May 2022, 12 p.m. to 4 p.m.
Registration deadline: 26 April 2022
Credits: 2 ECTS
Mode: tbd
Big Data Analytics
Luigi Curini
Course dates:
10 March 2021, 9.15 a.m. to 4.45 p.m.
11 March 2021, 9.15 a.m. to 4.45 p.m.
18 March 2021, 9.15 a.m. to 4.45 p.m.
19 March 2021, 9.15 a.m. to 4.45 p.m.
Registration deadline: 22 February 2021
Credits: 4 ECTS
Mode: remote
App Development
Stefano Balietti
Course dates:
5 May 2021, 12 p.m. to 3 p.m.
6 May 2021, 12 p.m. to 3 p.m.
7 May 2021, 12 p.m. to 3 p.m.
12 May 2021, 12 p.m. to 3 p.m.
14 May 2021, 12 p.m. to 3 p.m.
Registration deadline: 19 April 2021
Credits: 2 ECTS
Mode: remote
Spatial Data Analysis for Social Scientists
Jessica Di Salvatore
Course dates:
29 April 2021, 9.00 a.m. to 5.00 p.m.
6 May 2021, 9.00 a.m. to 5.00 p.m.
Registration deadline: 22 April 2021
Credits: 2 ECTS
Mode: remote
Social media data mining with Python
Jonathan Bright
Course dates:
11 May 2021, 9.00 a.m. to 12.30 p.m.
14 May 2021, 9.00 a.m. to 12.30 p.m.
20 May 2021, 9.00 a.m. to 12.30 p.m.
21 May 2021, 9.00 a.m. to 12.30 p.m.
Registration deadline: 28 April 2021
Credits: 2 ECTS
Mode: remote
Data Journalism
Lucas Leemann; Theresa Gessler
Course dates:
21 April 2021, 9.00 a.m. to 5.00 p.m.
22 April 2021, 9.00 a.m. to 5.00 p.m.
Registration deadline: 20 April 2021
Credits: 2 ECTS
Mode: remote
Contact
Dr. Samuel D. Schmid
Programme Manager Digital Skills
University of Lucerne
Department of Political Science
Frohburgstr. 3
P.O. Box 4466
6002 Lucerne, Switzerland
Room 3.A18
T +41 41 229 56 04
lumacss@unilu.ch
Appointments by prior arrangement
