lunduniversity.lu.se

Humanities Lab

The Joint Faculties of Humanities and Theology | Lund University

Group Tutorials

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 (link to email)

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. Check dates for the current semester here (link to email)

Introduction to the Humanities Lab

This two-hour session introduces the facilities available at the Humanities Lab. You will be shown the lab's equipments and studios and some data collected using equipment in the lab.

3D Scanning

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.

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 program for recording and editing sound files. This tutorial will get you started with the program by introducing the recording and listening functions as well as a few basic editing tools.

Audio & Video Recording (LARM Studio)

The following set of tutorials is related to the LARM-studio. (link, new window) Applications to Peter Roslund (link to email).

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.

BioPac System

The BioPac system is a system that measures electrophysiological responses from human participants.  At present, the system has three modules: one for galvanic skin response (GSR), one for heart beat frequency (ECG), and one for respiratory movement.These modules can be used individually or in combination with each other. In the tutorial, we will have a look at each of the three components and how they may be used for behavioral studies. Applications to Joost van de Weijer (link to email).

CLAN - Transcribing and analyzing spoken data

CLAN is a program for transcribing and analyzing spoken language. This tutorial focuses on transcribing recordings in CLAN. After the session you will have produced a short transcript in the minCHAT format and synchronised it with the sound/video file. The tutorial also introduces some of the tools for analysis available in CLAN. More specifically we will go through transcription annotation and some of the program’s analysis tools.

ELAN

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 (link to email).

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 (link to email).

Image-based modelling

This tutorial will introduce users to the use of digital cameras for the acquisition of images for image-based 3D reconstruction. A dedicated software will be presented and some key concepts about computer-vision techniques will be illustrated. Applications to Giacomo Landeschi (link to email).

Mining text with quantitative methods

Text mining is the process of discovering meaningful patterns and relationships in text. It is being used in many diverse settings: identify trends in social media, explore narratives in literature and historical discourse, and to discover drug–drug interactions in medical texts. This tutorial aims to give an introduction to quantitative methods for analysing text. We will illustrate a few tools, resources and workflows, including word embeddings, text clustering and binary text classification. The tutorial uses the cloud-based Google Colaboratory which lets you write and execute code, save and share your analyses, and access powerful computing resources, all from within a browser. You will need a Google account. Applications to Johan Frid (link to email).

Motion Capture (MoCap) system

Motion capture is a system designed to record movements of objects and/or people with high precision. Besides its application in animated 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 animate 3D-characters in VR (avatars); to examine how we walk in different conditions (for example, when we are tired); to track moving objects (engineering). 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 visualisation. Applications to Henrik Garde (link to email).

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 (link to email)

R-studio: Non-statistical uses

"R-studio" is 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 here (link, new window). Applications to Joost van de Weijer (link to email).

Visualising and exploring complex data in VR

Virtual reality (VR) is a powerful tool for creating interactive 3D visualisations of large multi-dimensional data sets. Millions of items can be loaded and explored in a new way by literally walking around in a dataset, viewing at details from different angles, detecting patterns, either while wearing a VR headset or on a plain computer screen navigating with mouse and keyboard. Aspects of data items can be filtered and highlighted on the fly. This tutorial includes an introduction to the basics of VR and game engines and an open source VR framework (Unity3D) that is designed to explore your own research data. No previous knowledge in programming is required but useful for a deeper understanding. In order to participate, you need to bring your laptop with "Unity 3D" installed (there is a free version). Applications to Henrik Garde (link to email).

Group tutorials in autumn 2019

Check here (link, new window) for the tutorials offered in autumn 2019