Coursework data handling

Students will be able to identify and discuss their own career aspirations or relevant skills and knowledge and how they impact on others. Students will be able to identify and demonstrate the perspectives or problem solving techniques of different disciplines. Students will be able to consider the role of their discipline in diverse cultural and global contexts.

Coursework data handling

This course combines lecture, seminar, and hands-on activities. This offering is co-sponsored by the Electronic Literature Organization. Consider this offering to build on: Scholarscapes, Augmented Dissemination via Digital Methods.

The course offers an introduction to the theory and practice of using Geographical Information Systems GIS in the digital humanities. The types of sources that we will cover include maps, texts and tabular data. The potential for using images and multimedia material will also be discussed.

We do not assume any familiarity with GIS although a good level of general competence with computers is helpful. Some advance reading may help. Additionally, if you have your own data that you would like to use in GIS and use then please bring it along as the final sessions of the course will allow you to work with you own data if you so wish.

Consider this offering to build on, or be built on by: An Introduction; Text Mapping as Modelling. Consider this offering in complement with: Computer-Assisted Analysis of Literary Texts; and more! Digital images are a container for much of the information content in the Web-based delivery of images, books, newspapers, manuscripts, maps, scrolls, single sheet collections, and archival materials.

To give scholars an unprecedented level of uniform and rich access to image-based resources hosted around the world, To define a set of common application programming interfaces that support interoperability between image repositories, and To develop, cultivate and document shared technologies, such as image servers and web clients, that provide a world-class user experience in viewing, comparing, manipulating and annotating images.

Course Offerings 10-14 June 2019

This course will introduce students to the basic concepts and technologies that make IIIF possible, allowing for guided, hands-on experience in installing servers and clients that support IIIF, and utilizing the advanced functionality that IIIF provides for interactive image-based research, such as annotation.

Introduction to APIs will open with the basics of Python, a scripting language widely used in industry and the academy because of its human readability.

We will proceed to the fundamentals of working with Application Programming Interfaces APIsthe most common way to programatically access webbased services and data. The course will be useful for those interested in understanding programming concepts, developing applications, and working with data.

Participants will use DH Box, a cloudbased digital humanities laboratory, for their development environment.

Coursework data handling

This is a hands-on course. Such data includes racist historical documents, ideologically laden materials, culturally controversial texts, politically charged topics, gendered works, etc.

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Aimed at people who work with culturally sensitive datasets, and those who are interested in critical reflection on visualization practice, the course will combine hands-on activities and discussion. Participants will create data visualizations using R and instructor-provided stock code, and then interrogate their visualizations, identifying the extent and severity of the ethical pitfalls they inevitably contain.

By the end of the week, participants will have produced several visualizations and prepared a position statement on ethical visualization appropriate for their own cultural and disciplinary contexts. No previous knowledge in coding, R, or visualizations is required.

Participants are welcome to bring their own treacherous data, or they may use sample projects provided by the instructors.

BBC Bitesize - GCSE Computer Science

If you are unsure as to whether your data will work in this class, please feel welcome to contact the instructors in advance. We will cover the reasons for publishing open data, how we can create open data, and how we can work with open data.

We will see how linked open data allows us to share data and incorporate data from other projects. We will learn about data models, data formats, and software tools for working with linked open data. Consider this offering to in relation to the following. Applied Theories and Methods good for evaluating the vocabularies that we find ; Feminist Digital Humanities: Theoretical, Social, and Material Engagements good for evaluating vocabularies that we find ; Queer Digital Humanities: How to end and archive your digital project; Agile Project Management.

Therefore, this movement of technologies from our hands onto our skin should, but often does not account for our broader, felt experiences. In this seminar we will explore the central role of the palpability, of feeling of our active senses, in WT design.

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This seminar will begin with small movement explorations to bring awareness to the rich information provided through our active, seeking senses. The remainder of each session will be spent tinkering with existing wearable technologies and dreaming up designs for new WT through hands-on play.

Participants will be able to explore and create with existing wearable technologies as well as various wearable microcontrollers, sensors and feedback output devices. No prior movement experience or experience with physical computing is assumed, but participants should come wearing comfortable clothing for movement explorations.

Coursework data handling

Consider this offering to build on and be considered in complement with: This class assumes students have some experience with a programming language Pythonhave used a text editor, and have encountered the command line.

In this class, students can expect to learn how to build these kinds of powerful, portable apps for their own datadriven projects.Prior Park College. One of the UK's largest, co-educational, Catholic, independent senior schools, set in a breathtaking location overlooking the World Heritage city of Bath.

Module directory The Module Directory provides information on all taught modules offered by Queen Mary during the academic year Fulfillment by Amazon (FBA) is a service we offer sellers that lets them store their products in Amazon's fulfillment centers, and we directly pack, ship, and provide customer service for these products.

Minority Teacher Incentive Program Nomination Form. Students Impacted by the Lincoln College of New England Closure. Connecticut Higher Education System Data . Data analysis courses address methods for managing and analyzing large datasets. Start your career as a data scientist by studying data mining, big data applications, and data product development.

This unit covers the claims handling process including notification, assessment, settlement and associated financial factors. Prepare for success with Enrolment plus.

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