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Showing courses 31-40 of 2405
Courses per page: 10 | 25 | 50 | 100

The Accounts Receivable (AR) module of the University’s Finance System (CUFS) deals with managing customer information and managing income generated from sales and donations.

In this course we will be looking at some of the key aspects such as:

  • creating external invoices
  • creating internal invoices
  • receipting income relating to invoices
  • receipting other income

We will also provide you with some basic information relating to banking procedures and to the University’s Online Store (also known as eSales).

Asbestos Awareness Training Wed 12 Jun 2024   09:00   [More dates...] [Places]

This training will provide delegates with a basic knowledge of asbestos awareness, the risks and the legal requirements under the Control of Asbestos Regulations 2012.

Asbestos awareness training is mandatory for all University personnel meeting the prerequisites of the Asbestos Regulations and ACoPs (Accepted Codes of Practice). Training is typically required for personnel who could inadvertently disturb asbestos during the course of their work/activities or instruct someone to do so, eg personnel who work on buildings.

1 other event...

Date Availability
Mon 24 Jun 2024 09:00 [Places]
Assistive Technology: One-to-One ONLINE Thu 9 May 2024   11:00   [More dates...] [Places]

This session is provided for students who have a Disability Resource Centre referral for specialised one-to-one support. Bespoke sessions cover support for users with:

  • Mobility issues, such as an upper limb disorder, where ergonomic keyboards and mice or speech recognition software may be required
  • Visual impairment requirements where magnification or text scanning to alternative format can assist users to view a computer screen or read and listen to text
  • Specific learning difficulties, who may find speech recognition software or mind mapping software useful

A session typically fall into 2 categories:

  • Looking at available hardware, software or IT techniques that can aid in the development of tailored strategies and solutions to help users independently access computing facilities
  • Providing training for Assistive Technology software packages to help users progress with the software

At time of booking please specify the following details in the Special Requirements box

  • Name of person that referred you
  • A brief outline of type of assistance required e.g. software training, workstation evaluation or general support and advice
  • If you require wheelchair access to the venue

7 other events...

Date Availability
Tue 30 Apr 2024 11:00 [Full]
Thu 9 May 2024 14:00 [Places]
Tue 14 May 2024 11:00 [Places]
Tue 14 May 2024 14:00 [Places]
Thu 16 May 2024 11:00 [Places]
Thu 16 May 2024 14:00 [Places]
Tue 11 Feb 2025 11:00 CANCELLED
ATLAS.ti Cloud: Quick Tour (Online) Self-taught Booking not required

This is a course created by the professional academic trainers at ATLAS.ti and selected for curation by UIS training staff.

The course can be accessed here

ATLAS.ti: Free Webinars (Online) new Self-taught Booking not required

These are a series of webinars run by the professional academic trainers at ATLAS.ti and selected for curation by UIS training staff.

You can register for the webinars here

ATLAS.ti Macintosh: Quick Tour (Online) Self-taught Booking not required

This is a course created by the professional academic trainers at ATLAS.ti and selected for curation by UIS training staff.

The course can be accessed here

ATLAS.ti: Video Tutorials (Online) new Self-taught Booking not required

These are a series of video tutorials created by the professional academic trainers at ATLAS.ti and selected for curation by UIS training staff.

You can view the tutorials here

ATLAS.ti Windows: Quick Tour (Online) Self-taught Booking not required

This is a course created by the professional academic trainers at ATLAS.ti and selected for curation by UIS training staff.

The course can be accessed here

Autism and ADHD-friendly Two-Day Writing Retreat new Mon 1 Jul 2024   09:30 [Places]

The Two-Day writing retreat is designed to offer structured sessions of academic writing for PhD students who wish to come and work in a supportive environment, and discuss strategies for good working practices that accommodate neurodivergence. You do NOT need to have a confirmed diagnosis to attend this retreat.

We start the first day with an introduction that discusses the kinds of challenges that Autism and ADHD can present in doctoral research, as well as strengths. This is followed by discussion sessions on finding adaptive ways to work when handling executive dysfunction, or issues with your environment. The rest of the first day is dedicated to writing, with short sessions to test out new ways to approach your work. The second day will be a dedicated writing retreat, with time in a comfortable environment to crack on with some writing! A full schedule for the two days will be sent out at least a week in advance.

You will be writing alongside fellow graduate students. There will be a ‘quiet room’ and a ‘noisy room’ to accommodate various working styles/activities, and attendees are welcome to bring along any fidget objects etc. that would normally help them focus. We will also bring a selection of these to try out!

If you have attended before you are very welcome to come again – feel free to skip the introductory talk or just go get settled in the ‘quiet room’ to start your work.

Lastly, tea, coffee and biscuits will be provided, but you will need to arrange your own lunch.

Bayesian Statistics new Tue 7 May 2024   10:00 [Places]

The purpose of this course is to familiarise students with the basic concepts of Bayesian theory. It is designed to provide an introduction to the principles, methods, and applications of Bayesian statistics. Bayesian statistics offers a powerful framework for data analysis and inference, allowing for the incorporation of prior knowledge and uncertainty in a coherent and systematic manner.

Throughout this course, we will cover key concepts such as Bayes' theorem, prior and posterior distributions, likelihood functions, and the fundamental differences between Bayesian and frequentist approaches. You will learn to formulate and estimate statistical models, update beliefs using new data, and make informed decisions based on the posterior probabilities generated through Bayesian inference. By the end of this course, you will possess the necessary skills to perform Bayesian data analysis, interpret results, and apply Bayesian methods in various contexts.