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Cambridge Digital Humanities

Cambridge Digital Humanities course timetable

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Thu 9 Apr – Mon 15 Jun

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April 2020

Thu 30
Introduction to Text-mining with Python [remote delivery] new (1 of 2) [Full] 11:00 - 12:00 Cambridge Digital Humanities Online

This online session will introduce basic methods for reading and processing text files in Python with Jupyter Notebooks. We'll discuss why you might wish to do text-mining, and whether coding with Python is the right choice for you. We'll run through the 5 steps of text-mining, and start to walk through an example that reads in a text corpus, splits it into words and sentences (tokens), removes unwanted words (stopwords), counts the tokens (frequency analysis), and visualises results.

This initial session is one hour long and will be delivered remotely by video conferencing. During the session we will cover the essentials of working with the Jupyter Notebooks provided so that you can carry on working through the materials in your own time. The first session will be followed by a second, optional Q&A session for troubleshooting issues and recapping essentials.

Required preparation: A short internet-based exercise in working with variables and text in Python will be sent out one week prior to the session. You will also get instructions on how to find the materials we will be using and how to log onto the video conferencing platform. Please make sure you have some time to prepare properly so that we can concentrate on teaching during the remote session.

May 2020

Thu 7
Mapping the Past new (1 of 2) [Full] 11:00 - 12:30 Cambridge Digital Humanities Online

We are currently reformatting our Learning programme for remote teaching; this will require some rescheduling so bookings will reopen and new sessions will be created for online courses as soon as possible. In the interim we would encourage you to register your interest so as to be notified of the new schedule. Please be aware that we hope to run many of our courses online, but that this is dependent on staff availability and resources so please be aware we may have to postpone or cancel some sessions

This intensive workshop is split into two 1.5hr sessions. Participants will learn to collect and process geospatial data from historical sources and process it using geographical information systems from Google Maps to Arc-GIS.

The first introduces research techniques for collecting, arranging and analysing geospatial data from historical sources, and is taught by Oliver Dunn. This session will be held 11:00–12:30 in the IT Training Room, Cambridge University.

The second introduces historical geographical information system Arc-GIS (provided). Student are taken through the map creation process step-by-step. This is taught by Max Satchell. This session will be held 13:30–15:00 in the Top Lab in Geography, Downing Site.

No equipment is necessary.

Introduction to Text-mining with Python [remote delivery] new (2 of 2) [Full] 11:00 - 12:00 Cambridge Digital Humanities Online

This online session will introduce basic methods for reading and processing text files in Python with Jupyter Notebooks. We'll discuss why you might wish to do text-mining, and whether coding with Python is the right choice for you. We'll run through the 5 steps of text-mining, and start to walk through an example that reads in a text corpus, splits it into words and sentences (tokens), removes unwanted words (stopwords), counts the tokens (frequency analysis), and visualises results.

This initial session is one hour long and will be delivered remotely by video conferencing. During the session we will cover the essentials of working with the Jupyter Notebooks provided so that you can carry on working through the materials in your own time. The first session will be followed by a second, optional Q&A session for troubleshooting issues and recapping essentials.

Required preparation: A short internet-based exercise in working with variables and text in Python will be sent out one week prior to the session. You will also get instructions on how to find the materials we will be using and how to log onto the video conferencing platform. Please make sure you have some time to prepare properly so that we can concentrate on teaching during the remote session.

Mapping the Past new (2 of 2) [Full] 13:30 - 15:00 Cambridge Digital Humanities Online

We are currently reformatting our Learning programme for remote teaching; this will require some rescheduling so bookings will reopen and new sessions will be created for online courses as soon as possible. In the interim we would encourage you to register your interest so as to be notified of the new schedule. Please be aware that we hope to run many of our courses online, but that this is dependent on staff availability and resources so please be aware we may have to postpone or cancel some sessions

This intensive workshop is split into two 1.5hr sessions. Participants will learn to collect and process geospatial data from historical sources and process it using geographical information systems from Google Maps to Arc-GIS.

The first introduces research techniques for collecting, arranging and analysing geospatial data from historical sources, and is taught by Oliver Dunn. This session will be held 11:00–12:30 in the IT Training Room, Cambridge University.

The second introduces historical geographical information system Arc-GIS (provided). Student are taken through the map creation process step-by-step. This is taught by Max Satchell. This session will be held 13:30–15:00 in the Top Lab in Geography, Downing Site.

No equipment is necessary.

Wed 20
Evolve your Python Code into a Workflow for Text-based Research new [Full] 13:00 - 16:00 Cambridge Digital Humanities Online

We are currently reformatting our Learning programme for remote teaching; this will require some rescheduling so bookings will reopen and new sessions will be created for online courses as soon as possible. In the interim we would encourage you to register your interest so as to be notified of the new schedule. Please be aware that we hope to run many of our courses online, but that this is dependent on staff availability and resources so please be aware we may have to postpone or cancel some sessions

This workshop will develop your coding practice from testing ideas to creating an efficient workflow for your code, data and analysis. If you are using Jupyter Notebooks (but even if you’re not) this workshop will demonstrate how to better manage your code using good programming practices, and package your code into a program that is easier and quicker to run for lots of data and more reliable.

Required preparation (instructions provided): Python 3 installed on laptop; a text editor or IDE installed on laptop; git installed on laptop and signed up for GitHub; a short internet-based exercise in working with the command line.

June 2020

Wed 3
Sources to Data new [Full] 11:00 - 12:30 Cambridge Digital Humanities Online

We are currently reformatting our Learning programme for remote teaching; this will require some rescheduling so bookings will reopen and new sessions will be created for online courses as soon as possible. In the interim we would encourage you to register your interest so as to be notified of the new schedule. Please be aware that we hope to run many of our courses online, but that this is dependent on staff availability and resources so please be aware we may have to postpone or cancel some sessions

Archives typically hold records containing enormous quantities of data presented in a variety of scribal and print formats. Extracting this information has traditionally involved long hours of expensive manual data-entry work. Nowadays this work can be automated to a large degree and could soon open archives and allow for unprecedentedly large structured data sets for curators, researchers, and the public alike. This workshop will examine new methods for collecting historical data from manuscript and printed documents. We will look at archival photography, OCR, page structure recognition, and new handwritten text recognition systems. Cutting-edge Cambridge research in this field will be demonstrated.

Wed 10
Introduction to Archival Photography workshop new [Full] 11:00 - 12:30 Cambridge Digital Humanities Online

We are currently reformatting our Learning programme for remote teaching; this will require some rescheduling so bookings will reopen and new sessions will be created for online courses as soon as possible. In the interim we would encourage you to register your interest so as to be notified of the new schedule. Please be aware that we hope to run many of our courses online, but that this is dependent on staff availability and resources so please be aware we may have to postpone or cancel some sessions

This session focusses on providing photography skills for those undertaking archival research. Dr Oliver Dunn has experience spanning more than 10 years digitising written and printed historical sources for major university research projects in the humanities and social sciences. The focus is very much on low-tech approaches and small budgets. We’ll consider best uses of smartphones, digital cameras and tripods.

Mon 15
Machine Reading the Archive 2020 - end of programme workshop new [Places] 11:30 - 15:30 Cambridge Digital Humanities Online

We are currently reformatting our Learning programme for remote teaching; this will require some rescheduling so bookings will reopen and new sessions will be created for online courses as soon as possible. In the interim we would encourage you to register your interest so as to be notified of the new schedule. Please be aware that we hope to run many of our courses online, but that this is dependent on staff availability and resources so please be aware we may have to postpone or cancel some sessions

This public workshop will mark the end of the 2020 programme of Machine Reading the Archive, a digital methods development programme organised by Cambridge Digital Humanities with the support of the Researcher Development Fund.

It will showcase the digital archive projects created by our cohort of project participants as well as invited contributions from leading experts in the field.