Group tutorials offered in the Lab are listed below. The Lab educational developer is responsible for the group tutorials, but they are taught by different Lab members. For info and applications, unless otherwise stated, contact pedagogisk_utvecklarehumlab.luse
Some tutorials are regularly scheduled: dates are announced on the Lab webpage at the beginning of each semester. Some tutorials are on demand: a date will be agreed on between the participants and the teacher when there is a large enough group for the tutorial to be given.
Introduction to the Humanities Lab
This two-hour session introduces the facilities available at the Humanities Lab. We will work with a series of short labs, each exploring data collected using equipment in the lab.
3D scanning is one of several different techniques for collecting 3D data available in the Humanities Lab. This three-hour tutorial offers an introduction to basic concepts in 3D data as well as an application of these concepts to 3D scanning. Applications to Stefan Lindgren.
AntConc - Search Your Corpus
AntConc is a corpus analysis toolkit that works with all kinds of texts in txt-format. It allows you to search for words, word combinations and strings of characters in a corpus of texts. This tutorial is an introduction to the basic search functions in AntConc. Depending on the participants’ interests, the tutorial can also cover how AntConc can be used in combination with in-text annotations, e.g. as a basic way to tag/code text files and use AntConc to search for codes in your corpus.
Audacity - Basic sound recording and editing
Audacity is a programme for recording and editing sound files. This tutorial will get you started with the programme by introducing the recording and listening functions as well as a few basic editing tools.
CLAN - Transcribing and analysing spoken data
CLAN is a programme for transcribing and analysing spoken language. Two CLAN tutorials are available:
CLAN 1– Transcribing for Beginners
This tutorial focuses on transcribing recordings in CLAN. After the two-hour session you will have produced a short transcript in the minCHAT format and synchronised it with the sound/video file.
CLAN 2– Analysing
This tutorial introduces some of the tools for analysis available in CLAN. More specifically we will go through transcription annotation and some of the programme’s analysis tools.
ELAN is an annotation tool designed at the Max Planck Institute for Psycholinguistics (Nijmegen) for the analysis of speech, sign language, and gesture. In this tutorial you will learn how to use ELAN to transcribe, code, and visualize audio and video material, and how to export the annotations into format suitable for subsequent analysis. Applications to Maria Graziano.
GPS (global positioning system) & data georeferencing
This tutorial will provide a general introduction to the use of RTK GPS for georeferencing spatial datasets. Different coordinate systems will be described, and users will have the possibility to get to know how to set up a GPS station, collect data and export them in a GIS. As an additional point, strategies to georeference 3D models derived from different acquisition techniques will be introduced. Applications to Giacomo Landeschi
LARM studio: Audio and Video Recording
- Recording Sound: Speech
This tutorial covers basic aspects of speech recording in the LARM studio, such as choice of microphone, audio mixer and basic post-production.
- Recording Sound: Music
This tutorial focuses on the technical aspects of music recording including choosing a microphone and setting up instruments for a recording, the audio mixer and software for editing music.
- Recording video
This tutorial focuses on how to use a video camera and set up the studio to record an interview.
- TV Production
This tutorial prepares the participant for independent recording of an interview (audio and video) in a TV studio. The tutorial covers aspect such as multiple cameras (as in live broadcasting), audio and video mixer, lighting and camera angles.
- Storytelling with Video
This tutorial teaches how to independently record and produce a basic short film from start to finish. NB: Participation to the tutorial "Recording video" or equivalent background knowledge is a pre-requisite.
Motion Capture (MoCap) system
Motion capture is a system that allows recording movements of objects or people with high precision. Besides its application in movies and video games, this technology is also emerging as an important research tool in several areas of investigation. For example, it is used to record and analyse the gestures we perform while speaking; to look in detail at how we interact with everyday objects; to create realistic 3D-characters; to examine how we walk in different conditions (for example, when we are tired). In this tutorial, you will learn the basics of 3D movement data and techniques with hands-on recording exercises, and data post-processing, analysis and visualization. Applications to Jens Nirme
PsychoPy - Setting up an experiment
PsychoPy is an open-source application that allows you to set up and run experiments where stimuli are presented on a computer screen in order to collect physiological or behavioural responses from participants. It is a free alternative to E-prime and Presentation, and is based on Python. In this tutorial you will learn the basics of PsychoPy, and you will implement and run a small experiment. No previous knowledge in programming is required. Applications to Marcus Nyström.
R-studio: Non-statistical uses
"R-studio", a computer program for organizing, analysing and visualizing data. This tutorial is intended for students and researchers who, one way or another, work with quantitative data. We will explore some of the possibilities offered by the program, and if time allows, do some exercises and/or talk about participants' own data. In order to participate, you need to bring your laptop with "R studio" installed. The program is free, and can be downloaded from https://www.rstudio.com. Applications to Joost van de Weijer.
Text mining, info extraction from text
Visualizing data in 3D and VR