All-provider course timetable

This course covers viewing, processing and recording data for applications, adding notes and attachments, generating rejection emails, generating electronic reference requests, processing applicants through the selection process and transferring successful applicants to CHRIS.

This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.

There are three core goals for this course:

1. Use R confidently for statistics and data analysis
2. Be able to analyse datasets using standard statistical techniques
3. Know which tests are and are not appropriate

R is a free, software environment for statistical and data analysis, with many useful features that promote and facilitate reproducible research.

In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to generalised linear model analysis. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory

After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques.

In this session, you will learn about:

• The State Pension system in the UK
• Private Pensions in the UK
• The Universities Superannuation Scheme (USS)

The session will be delivered by Head of Pensions at the University of Cambridge, and there will be ample opportunity for asking questions.

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

This course is aimed at new iProcurement users and provides an introduction to using iProcurement for creating requisitions and purchase orders.

iProcurement is also available as an online course for you to learn in your own time. Choose from our available online options if you are unable to make the classroom dates or prefer to study in this way.

CamSIS Search is a tool used within CamSIS to create lists of students and update student data. This course will show you how to understand the data structure and how to use CamSIS Search to create student lists.

CamSIS is Cambridge’s system for handling student information, records and transactions, from initial contact and application all the way through to graduation. This course will teach you the basics of using the system to view student records and to produce basic lists of students.

• Supporting documentation

Introduction to CamSIS https://www.vle.cam.ac.uk/course/view.php?id=138371

Introductory course to Chinese. This course is for those with no previous knowledge of Chinese. Communicative context, with videos, audio, texts and conversation.

This short session will provide an understanding of the principles, tools and techniques involved in Process Analysis with a view to improving business process effectiveness and efficiency. Delegates will have the opportunity to practice using the techniques that they learn via exercises designed to be enjoyable and thought provoking.

The course refers to the methodology used in conjunction with Triaster process mapping software available to users across the University of Cambridge.

• 14:15-14:25: Introduction to IT Portfolios. Mark Rowland will give a brief overview of what the Portfolios are and who in the University is responsible for each element.

• 14:25-14:55: The UIS Accessibility Working Group will update on work going on to ensure that we provide accessible services. They will highlight plans for institutions that will need to adapt to review the accessibility of their own websites and services and to write accessibility statements. There'll be a demo of screen reading technology working with inaccessible materials, and the difference that a few relatively simple updates can make to improve the experience for all.

• 14:55-15:05: Rich Wareham from UIS DevOps will share what UIS's technology staff hope to achieve by starting a new Community of Practice following a recent unconference event.

• 15:05-15:15: Break

• 15:15-15:50: Phoenix Software (our Microsoft Office365 partners) will update on some of the shared Office 365 experience across the University, including how some institutions are using Mimecast, such as for GDPR compliance. - POSTPONED

• 15:50-16:00: The recent Oxford IT Forum Conference was another excellent combination of talks and workshops, and vendor interaction. Brief highlights of the day will be provided by Ronald Haynes, along with ideas about further expanding our collaborative IT efforts with Oxford.

• 16:00-16:30: Celebratory refreshments -This will be the final seminar of this academic year, and as usual, there will be some light refreshments to celebrate the end-of-term!

A thirty minute introduction to the UL, aimed at those using our facilities and collections over the summer vacation period. An experienced member of staff will meet you in the Entrance Hall then lead you on a twenty minute tour of the UL,taking in the Locker Room, Open Bookstacks, Reading Room and West Room. Ten minutes are reserved after the tour for a question and answer session.

Speakers: Joanne Bishenden and Ian Matthias from PA Consulting Title: ourcambridge seminar: Engaging with Academics Effectively Wednesday 24 July 3-4pm Faculty of Classics, Lecture Theatre 1.02, Sidgwick Site

Explains how the Behavioural Attributes Framework is to be used in annual SRDs within Estate Management

This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.

There are three core goals for this course:

1. Use R confidently for statistics and data analysis
2. Be able to analyse datasets using standard statistical techniques
3. Know which tests are and are not appropriate

R is a free, software environment for statistical and data analysis, with many useful features that promote and facilitate reproducible research.

In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to generalised linear model analysis. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory

After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques.

Explains how the Behavioural Attributes Framework is to be used in annual SRDs within Estate Management

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This a trial service running throughout the summer vacation. We will appreciate any feedback that you provide.