Semester 2 Training

Ada Lovelace portrait plus code

During the first semester, we have successfully run 19 remotely-delivered training events, reaching more than 350 researchers across the College and beyond. 

Below you can find the details of the training events coming up in the second semester: 

 

JANUARY 

  • 11th January: Using Geospatial Data to Inform Historical Research in R. Silent Disco. Our 'Silent Discos' are based on tutorials from the Programming Historian website. One primary focus of historical scholarship is explaining the complex relationships that influence change in the past. This Silent Disco Tutorial will allow you to discover how to represent geographical historical data using R. 

  • 20th January: Workshop: Visual AI and The Humanities An Introduction. This workshop will showcase the state of the art in Visual AI for cultural heritage and the digital humanities and provide a hands-on introduction to some simple techniques for searching and classifying imagery in books, paintings, photographs and film. 

  • 25th January: DisInformation - Mapping the Lifecycle of Media Manipulation. In this session, Dr. Joan Donovan demonstrates a case study approach to mapping the life cycle of media manipulation campaigns. This method seeks to analyse the order, scale and scope of manipulation campaigns by following media artefacts through space and time, drawing together multiple relationships to sort through the tangled mess.

  • 26th January: Intro to Databases with SQLite. In this workshop we will use SQLite, a flexible open-source database, to learn some of the basic concepts of database design and usage. In this workshop you will learn: Basic database design. 

  • 28th January: Digital Method of the Month: Text Analysis. Join our third Digital Method of the Month discussion on the practicalities of performing text analysis on your data. Text analysis allows for patterns in language to be studied at large scale, enabling “distant reading” of books, magazines, newspapers, and other digitized texts.  Join us to learn about the resources that the programming language Python offers for text analysis. 

 

FEBRUARY 

  • 03rd February – 17th March (7 classes): Introduction to programming in Python. This course is designed to introduce programming to people who have never programmed before. Join us on this seven sessions class that will help you pick up Python bases. 

  • 04th February: Intro to managing digitalised documents. This workshop will present an introduction to working with digitised data and IIIF. The meeting will cover using image and presentation API while sharing good practices and providing examples. 

  • 05th February: Silent Disco: Building a website with Jekyll and GitHub Pages. Our 'Silent Discos' are based on tutorials from the Programming Historian website. This session will focus on how to build your own website using Jekyll and Github Pages.

  • 08th – 15th February (2 classes): Working with Transkribus and OCR. This training will explain and demonstrate the Handwritten Text Recognition (HTR) platform Transkribus, a popular tool since its release for making historical documents more readable and accessible.

  • 19th February: Data Visualisation Techniques. This seminar will inform you about some of the basic techniques and give you some useful tips for when you are trying to present your data visually. It will cover topics such as the use of colour, choice of visualisation technique, how to avoid some common pitfalls and make sure you are not misrepresenting your data. 

  • 25th February: Effective Data Visualisation. In order to communicate this knowledge effectively, it is often essential to use visualizations to provide a clear picture of your key arguments. This workshop will cover the basics and principles of effective data visualisation. 

  • 26th February: Digital Method of the Month: Machine Learning. Join our fourth Digital Method of the Month discussion on the practicalities of using machine learning techniques in your research. 

 

MARCH 

  • 04th March: Library Carpentry: Introduction to working with Data (Regular Expressions). This Library Carpentry lesson introduces people with library- and information-related roles to working with data using regular expressions. The lesson provides background on the regular expression language and how it can be used to match and extract text and to clean data.

  • 11th March: Library Carpentry: Introduction to Working with Data (Tidy Data). This Library Carpentry lesson introduces people with library- and information-related roles to working with spreadsheets. The lesson will go through good practices and suggestions on how to better organise data within spreadsheets. 

  • 12th March: Introduction to the Bash Command Line: Silent Disco. Our 'Silent Discos' are based on tutorials from the Programming Historian website. This session will focus on how to start using the Bash Command-Line.

  • 15th -22nd March (2 sessions): Copyright and Licenses. Do copyright and licenses confuse you? Come join us on a two sessions workshop with Niel Chue Hong from SSI (Software Sustainability Institute) on how to use correctly copyrighted material and best practices on copyright your own work. 

  • 16th March: Introduction to Sentiment Analysis. Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral. Its use has become relatively widespread, being used to analyse, customer feedback, social media, user surveys, and more. 

  • 23rd March – 22nd April (10 sessions): Visualisation and Statistics with R Studio. This course will give you an introductory overview of basic techniques for visualising your data with R, as well as statistical techniques for analysing your dataset.

  • 26th March – 29th March (2 sessions): Spatial Data Visualisation. This two sessions workshop will cover the basics of producing good spatial data visualisation. The attendees will be guided step by step on how to produce effective map visualisations with QGis. 

  • 29th March: Digital Method of the Month: 3D Scanning. Join our fifth Digital Method of the Month discussion on the different methodologies available to record 3D data. 

 

APRIL

  • 08th April: Library Carpentry: OpenRefine. This Library Carpentry lesson introduces people with library- and information-related roles to cleaning datasets with OpenRefine. At the conclusion of the lesson, you will understand what the OpenRefine software does and how to use the OpenRefine software to work with data files. 

  • 09th April: Getting Started with Markdown: Silent Disco. Our 'Silent Discos' are based on tutorials from the Programming Historian website. This session will focus on how to use Markdown to format Html pages. 

  • 12th April – 19th April (2 sessions): Recording 3D Data 1: Lidar Scanning Tutorial Learn how to operate the University of Edinburgh’s BLK360 LIDAR scanners. The two sessions will cover set up and data capture, convert raw LIDAR scan data into point cloud format for use in a range of post-processing and analysis software.​​​​​​ 

  • 15th April: Library Carpentry: Unix Shell. This Library Carpentry lesson introduces librarians to the Unix Shell. At the conclusion of the lesson, you will: describe the basics of the Unix shell; explain why and how to use the command line; use shell commands to work with directories and files; use shell commands to find and manipulate data. 

  • 26th April: Recording 3D Data 2: Photogrammetry with 3DF Zephyr. Learn the basics of photogrammetry imaging, and a standard workflow to generate 3D models from your photosets. 

  • 27th April: Digital Method of the Month: Databases. Join our sixth Digital Method of the Month discussion on where to start to implement databases in your research.  

  • 30th April – 14th May: Integrating Statistical and Spatial Data Analysis. This intermediate-level workshop consisting of three sessions with a focus on developing skills in data visualisation, analysis and integration using both R studio and QGIS. 

 

MAY