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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).
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.
Date | Availability | |
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Mon 24 Jun 2024 | 09:00 | [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
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 |
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.
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.