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Showing courses 26-50 of 1082
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This course is designed to provide a basic introduction to how finances are managed at the University and is the ideal first course for anyone who will be working in an accounts area.

Not only does it provide an overview of how the University's Finance System (UFS) is structured but also which activities are performed centrally and which are done in departments. It introduces the concepts of the Financial Regulations and Finance Procedures as well as signposting where you can find more support, how to access UFS and what training may be appropriate for your role.

An overview of Amicus (online version) Self-taught Booking not required

This overview should take no more than 30 minutes to complete. You can view it as many times as you like, or complete certain sections and come back later.

This overview will showcase some of the benefits and give you a sneak peek of functionality within Amicus.

A short video with sound is included at the beginning of the overview. Headphones or speakers will be required for this part.

We hope you enjoy it.

An Overview Of Qualitative Data Collection And Analysis Tue 20 Oct 2020   12:30 In progress

With such a large variety of qualitative research methods to choose from, creating a research design can be confusing and difficult without a sufficiently informed overview. This module aims to provide an overview by introducing qualitative data collection and analysis methods commonly used in social science research. The module provides a foundation for other SSRMP qualitative methods modules such as ethnography, discourse analysis, interviews, or diary research. Knowing what is ‘out there’ will help a researcher purposefully select further modules to study on, provide readings to deepen knowledge on specific methods, and will facilitate a more informed research design that contributes to successful empirical research.

NB. This module has video content that needs watching prior to the advertised start date. Please register on the module's Moodle page by 12th October, 2020

Anti-Bribery & Corruption Training Self-taught Booking not required

The University and all its staff have a responsibility to ensure that neither their conduct, nor the conduct of any person or organisation entering into any contract or arrangement with the University contravenes the Bribery Act 2010.

This online course guides you through the scope of the Bribery Act and Criminal Finances Act and highlights some of the situations that you should be aware of.

AP: eInvoicing in Accounts Payable Self-taught Bookable

An Introduction to the University's eInvoicing system, how it works and what actions/processes are completed by the department.

This on-line course will enable end users to understand the basics of accounts payable, including processing basic invoices and expense claims.

This on-line course will enable Shared Services staff members to understand the basics of accounts payable, including processing basic invoices and expense claims.

This on-line course enables users to learn how to Secondary Approve invoices within the Accounts Payable module.

Apprenticeship Network Meeting Wed 2 Dec 2020   12:00 [Places]

A network meeting for university staff interested in establishing an apprenticeship under the Apprenticeship Levy to share questions, experiences and advice.

Approaches to Learning: Bitesize Self-taught Booking not required

Approaches to Learning: Bitesize

PPD bitesize online resources are short and high impact; including videos, quick tips guides and interactive bitesize modules. Develop your skills and knowledge quickly, easily, when you need. They complement face to face courses and more in-depth online modules.

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).

Assistive Technology: One-to-One Training Wed 28 Oct 2020   10:30   [More dates...] [Places]

This session is provided for University staff who have an Occupational Health referral or 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

12 other events...

Date Availability
Wed 28 Oct 2020 14:30 [Places]
Wed 4 Nov 2020 10:30 [Places]
Wed 4 Nov 2020 14:30 [Places]
Wed 11 Nov 2020 10:30 [Places]
Wed 11 Nov 2020 14:30 [Places]
Wed 18 Nov 2020 10:30 [Places]
Wed 18 Nov 2020 14:30 [Places]
Wed 25 Nov 2020 10:30 [Places]
Wed 25 Nov 2020 10:30 [Places]
Wed 25 Nov 2020 14:30 [Places]
Tue 8 Dec 2020 10:30 [Places]
Tue 15 Dec 2020 10:30 [Places]
Atlas.ti Wed 3 Feb 2021   15:00 [Places]

This course provides an introduction to the management and analysis of qualitative data using Atlas.ti. It is divided between pre-recorded lectures, in which you’ll learn the relevant strategies and techniques, and hands-on live practical sessions in Zoom, in which you will learn how to analyse qualitative data using the software.

The sessions will introduce participants to the following:

  • consideration of the advantages and limitations of using qualitative analysis software
  • setting-up a research project in Atlas.ti
  • use of Atlas.ti's menus and tool bars
  • importing and organising data
  • starting data analysis using Atlas.ti’s coding tools
  • exploring data using query and visualization tools

Please note: Atlas.ti for Mac will not be covered.

ATLAS.ti Cloud: Quick Tour (Online) new 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) new 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 Windows: Quick Tour (Online) new 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

Basic Quantitative Analysis (BQA 2) Mon 9 Nov 2020   10:00   [More dates...] Not bookable

Building upon the univariate techniques introduced in the Foundations in Applied Statistics (FiAS) module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata. It introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA).

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to apply these techniques to analyse real data using the statistical package, Stata.

You will learn the following techniques:

  • Cross-tabulations
  • Scatterplots
  • Covariance and correlation
  • Nonparametric methods
  • Two-sample t-tests
  • ANOVA

As well as viewing the pre-recorded mini lectures via Moodle and attending the live lab sessions, students are expected to do a few hours of independent study each week.

4 other events...

Date Availability
Mon 9 Nov 2020 10:00 Not bookable
Wed 11 Nov 2020 10:00 Not bookable
Wed 11 Nov 2020 10:00 Not bookable
Wed 27 Jan 2021 09:00 Not bookable

Across all AHSS disciplines (and within) there are varying views of what research is. Though not a definitive means by which to conceptualize research, this course offers Thomas Kuhn’s idea of the ‘research paradigm’ as a heuristic and expedient entry point into key terms and concepts often encountered by research students and the tactic assumptions underpinning them. This can and often does result in an ability to understand the significance of one’s own research, the research of others and the broader intellectual context in which both are situated.

Better Decision Making: Bitesize Self-taught Booking not required

Better Decision Making: Bitesize

PPD bitesize online resources are short and high impact; including videos, quick tips guides and interactive bitesize modules. Develop your skills and knowledge quickly, easily, when you need. They complement face to face courses and more in-depth online modules.

PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout.

InterMine is a freely available open-source data warehouse built specifically for the integration and analysis of complex biological data sets.

InterMine-based data analysis platforms are available for many organisms including mouse, rat, budding yeast, plants (over 87 plant genomes), nematodes, fly, zebrafish, Hymenoptera, Planaria, and more recently human.

Genomic and proteomic data within InterMine databases includes pathways, gene expression, interactions, sequence variants, GWAS, regulatory data and protein expression. InterMine provides sophisticated query and visualisation tools both through a web interface and a powerful web service API, with multiple language bindings including Python and R.

This course will focus on programmatic access to InterMine through the API and InterMine searches will be done using Python and R scripts. The exercises will mainly use the fly, human and mouse databases, but the course is applicable to anyone working with data for which an InterMine database is available (a comprehensive list of InterMine databases is available here.

This event is organised alongside a half day course on Biological data analysis using the InterMine User Interface. More information on this event are available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout.

InterMine is a freely available open-source data warehouse built specifically for the integration and analysis of complex biological data.

InterMine-based data analysis platforms are available for many organisms including mouse, rat, budding yeast, plants (over 87 plant genomes), nematodes, fly, zebrafishHymenoptera, Planaria, and more recently human.

Genomic and proteomic data within InterMine databases includes pathways, gene expression, interactions, sequence variants, GWAS, regulatory data and protein expression. InterMine provides sophisticated query and visualisation tools both through a web interface and a powerful web service API, with multiple language bindings including Python and R.

This course will focus on the InterMine web interface and will introduce participants to all aspects of the user interface, starting with some simple exercises and building up to more complex analysis encompassing several analysis tools and comparative analysis across organisms. The exercises will mainly use the fly, human and mouse databases, but the course is applicable to anyone working with data for which an InterMine database is available (a comprehensive list of InterMine databases is available here.)

This event is organised alongside a half day course on Biological data analysis using the InterMine API. More information on this event is available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

Biological Safety Online Training new Self-taught Bookable

A video presentation on The Management of Biological Safety at the University of Cambridge.

A Raven password is needed to access this online course, although you can log in as a Friend. If you don't already have a Raven password please visit http://www.cam.ac.uk/cs/docs/faq/n5.html

Brexit and the new Immigration System Wed 4 Nov 2020   13:00   [More dates...] [Places]


This course is recommended for those responsible for the recruitment and selection of staff and those with HR responsibilities.

With Brexit, and the end of the transition period on 31 December 2020, the UK government intends to launch a new immigration system from 1 January 2021. This system will apply to all non-UK nationals entering the UK for the first time, and non-EEA nationals already resident in the UK who are seeking to extend their existing visas.

The new system is loosely based on the existing immigration system, but with some changes. The aim of this course is to help those involved with recruitment and selection to navigate the new rules which regulate the recruitment of individuals who are subject to immigration control, whilst ensuring full compliance. The course will also outline other key visa routes such as Global Talent and Tier 5.

1 other event...

Date Availability
Tue 17 Nov 2020 13:00 [Places]
      • There is a capacity number for this workshop so if you are on the waiting list or standby it is unlikely we can offer a place. We will however be running it again later in the term or early in Lent.***

In this live session Dr Beatrice Gini from the Office of Scholarly Communication will work with you to deepen your understanding of how researchers are expected to manage their data. We will examine an example Data Management Plan, discussing whether the proposed practices for recording, storing, organising and sharing data are suitable for a research project. This will be an opportunity to discuss what good data management looks like for different projects. To make the most of the session, spend some time beforehand to explore these resources: https://libguides.cam.ac.uk/research-skills/rdm and bring any questions you may have to the live session.

This live training session sits within an online programme supporting PPD skills for postgraduates: http://ppd4phd.com/

11 other events...

Date Availability
Mon 21 Sep 2020 00:00 In progress
Fri 30 Oct 2020 12:00 [Standby]
Thu 5 Nov 2020 12:00 [Places]
Mon 9 Nov 2020 12:00 [Full]
Fri 13 Nov 2020 12:00 [Places]
Thu 19 Nov 2020 12:00 [Places]
Mon 23 Nov 2020 12:00 [Places]
Tue 24 Nov 2020 12:00 [Places]
Thu 26 Nov 2020 12:00 [Full]
Fri 27 Nov 2020 11:00 [Standby]
Fri 27 Nov 2020 12:00 [Standby]
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