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6 matching courses
Courses per page: 10 | 25 | 50 | 100

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.

Introduction to Archival Photography workshop new Wed 10 Jun 2020   11:00 [Places]

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.

Introduction to Text-mining with Python new Thu 30 Apr 2020   10:00 [Places]

This session will introduce basic methods for reading and processing text files in Python with Jupyter Notebooks. We will 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. We will talk about the 5 steps of text-mining and what resources to use when learning text mining for your research in your own time.

Pre-requisites: No prior knowledge of Python is required, and no installations will be needed. We will use web services available in your browser to follow along.

Required preparation: A short internet-based exercise in working with variables and text in Python.

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.

Mapping the Past new Thu 7 May 2020   11:00 [Places]

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.

Sources to Data new Wed 3 Jun 2020   11:00 [Places]

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.