All-provider course timetable
Tuesday 7 September 2021
| 09:00 |
A series of 30 minute drop-in sessions to talk with one of the Simplifying our Processes team. We offer expert, impartial advice relating all things process improvement and want to support our colleagues on their own continuous improvement journeys. Please note, these sessions are informal, 1-2-1 meetings where colleagues can ask for advice and guidance from the Simplifying our Processes team. These are not workshops or taught sessions. The Simplifying our Processes team will be available 9-10 and 4-5 every Tuesday and Friday - each hour can be split into two sessions of 30 minutes depending on demand. |
| 09:30 |
PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors to assist you with instant and personalised feedback and to help you to run/execute the scripts which we will be using during the course. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. R is one of the leading programming languages in Data Science. It is widely used to perform statistics, machine learning, visualisations and data analyses. It is an open source programming language so all the software we will use in the course is free. This course is an introduction to R designed for participants with no programming experience. We will start from scratch by introducing how to start programming in R and progress our way and learn how to read and write to files, manipulate data and visualise it by creating different plots - all the fundamental tasks you need to get you started analysing your data. During the course we will be working with one of the most popular packages in R; tidyverse that will allow you to manipulate your data effectively and visualise it to a publication level standard. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here. |
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These sessions are aimed at those who are brand new to HEAT (Higher Education Access Tracker) and who will want to be added to the live database as their institution’s Operational Lead or User with all Reports. If you are only going to need Read Only or Read Only with Export permissions this training is not required. |
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| 10:00 |
Accessibility: How to Produce Accessible Documents - An Introduction (Live Online with MS Teams)
Finished
This course will show you basic principles and processes for creating accessible documents in Microsoft Word and PowerPoint and PDFs. |
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This course will concentrate on how to use the Cognos reporting tool to help manage departmental research grants. These reports can be divided into three main categories:
In this course we will not access the Grants module in CUFS. The course material will be split across 2 webinars on consecutive days |
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| 11:00 |
Ron Chambers, Kate Livingstone and Abraham Martin will be talking about identifying some best practices for our effective collaboration |
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Postdocs: Researcher Development & Support (one-to-one sessions) The postdoc RD team are offering one-to-one meetings online for all postdocs. These meetings will be tailored to your individual needs and provide an opportunity to consider and discuss a variety of topics relating to learning, skills and personal development. This is not an exhaustive list but areas for discussion could include:
Each meeting will last for up to 45 minutes and, given the present circumstances relating to Covid-19, will be conducted online using Teams. |
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| 14:00 |
PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are lead through the core concepts of Python including Python syntax, data structures and reading/writing files. These are illustrated by a series of example programs. Upon completion of the course, participants will be able to write simple Python programs. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here. |
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This course is for those who are new to the Recruitment Administration System (RAS) or those who wish to have a refresher.
Please note that the course is taught using Microsoft Teams and you must have Teams installed on your computer to participate. See System requirements below for more information Please Note: It is important that when you book on this course, on your booking confirmation page, click on Add to Calendar to start the process to import the course appointment into your calendar. This contains the link to the MS Teams course meeting under Joining Instructions that you will use to join on the day of the course.
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| 14:30 |
This course is an introduction to the CHRIS system and will cover an overview of key elements of the system that you will interact whilst undertaking HR tasks. Prior to attending please check that you can log into the CHRIS system successfully.
Please Note: that you will require Microsoft Teams installed and VPN access to CHRIS setup to participate on this course. See System requirements below for more information. Please Note: It is important that when you book on this course, on your booking confirmation page, click on Add to Calendar to start the process to import the course appointment into your calendar. This contains the link to the MS Teams course meeting under Joining Instructions that you will use to join on the day of the course.
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| 16:00 |
A series of 30 minute drop-in sessions to talk with one of the Simplifying our Processes team. We offer expert, impartial advice relating all things process improvement and want to support our colleagues on their own continuous improvement journeys. Please note, these sessions are informal, 1-2-1 meetings where colleagues can ask for advice and guidance from the Simplifying our Processes team. These are not workshops or taught sessions. The Simplifying our Processes team will be available 9-10 and 4-5 every Tuesday and Friday - each hour can be split into two sessions of 30 minutes depending on demand. |
Wednesday 8 September 2021
| 09:30 |
PLEASE NOTE: The Bioinformatics Team are presently teaching this course live online, with tutors available to help you throughout if have any questions. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching in our training room. This award winning virtually delivered course is intended to provide a strong foundation in practical statistics and data analysis using the Python 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:
Python is an open source programming language so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. 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 Python and moreover know when, and when not, to apply these techniques. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here. |
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Web Recruitment Training - Managing Vacancies & Sending Correspondence (Live Online Using MS Teams)
Finished
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. The system used is Web Recruitment.
Please note that the course is taught using Microsoft Teams and you must have Teams installed on your computer to participate. See System requirements below for more information Please Note: It is important that when you book on this course, on your booking confirmation page, click on Add to Calendar to start the process to import the course appointment into your calendar. This contains the link to the MS Teams course meeting under Joining Instructions that you will use to join on the day of the course.
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| 10:00 |
Living our values through the way we work: a series of panel discussions for leaders and managers
Finished
Discussion Topic: Recruitment: how can we make sure we get it right? This series follows on from the very popular first series held from April-July 2021. These informal drop-in sessions are designed to provide both new and more experienced leaders and managers, across all staff groups, with a safe space to share practice and discuss some of the challenges that can arise when supporting others to develop and strengthen their performance. Each session will start an hour of Q&A and discussion with a panel of experienced managers drawn from across the University. This will be followed by half an hour of small group discussion to allow participants the opportunity to meet other managers and share practice, in a smaller, more intimate setting. Those wishing to leave after the first hour and not stay on for final half hour in break out rooms, are free to do so. The format of the sessions is designed to facilitate peer support and learning. The sessions are not training sessions, although recommendations for training and other resources will be provided. Comments from Series 1 participants: “I am loving all of these sessions and am so happy to have discovered a platform where ‘it all makes sense’” “It’s lovely to convene a group of people interested in leadership and developing their skills in this area.” “I intend to participate in as many sessions as I can because this forum gives a focused approach on developing leadership skills that are expected within the University. I had been looking for some sort of a planned approach to this and am really glad I found this.” Panellists Dr Jeanne Estabel - Departmental Administrator, Department of Biochemistry Andrew Rowland - Resourcing Adviser, Human Resources Division Questions we will consider during the session 1. Why is this such an important subject for managers and what can be the impact of getting recruitment decisions wrong? 2. How do you think approaches to recruitment have changed over time? 3. How can we ensure that we are truly inclusive when recruiting? 4. What are the benefits of recruiting internally or externally? 5. What, in your experience, are the most common mistakes that are made when recruiting and how can they be avoided? 6. What approaches to recruitment have you found have worked well? 7. What key piece of advice would you give to managers about to recruit to a vacancy? |
| 14:00 |
There is an increasing emphasis in research on the management and sharing of data. Many funding bodies that support research undertaken at Cambridge require not only open access to any publications based on that research, but also to the data underlying it. This course will help you understand funders’ requirements for management and sharing of research data, and will provide opportunities to create your own data management plan and test out resources that will make the data management process easier. UPDATE: Please note that this session is taking place remotely, not in the Medical Library as previously advertised. Please do not go to the Medical Library training room. You will be contacted by the training team with information about how to join the session remotely. Please note: this session may be recorded. By signing up for the session, you register your consent for recording to take place. Please email librarytraining@medschl.cam.ac.uk if you have any questions about this. |
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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. |
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Do you have an idea for a new Community of Practice? Or perhaps you have an existing group that you think might be suitable to become a Community of Practice. If, after looking at the guidance on the CoPs Sharepoint Hub, you would like to talk through your plans with a member of the CoP Support Group (CSG), then these 30min drop in sessions are for you! Please note, these sessions are informal, 1-2-1 meetings where colleagues can ask for advice and guidance from the Communities of Practice support team. If there is more than of you working on an idea together, we suggest one of you book on and invites the other(s) CoP initiator(s)/leader(s). We will assume you have already familiarised yourself with the information and guidance on the Sharepoint, and have already begun to develop your ideas for a CoP. |
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The Bioinformatics Team are presently teaching this course live online, with tutors available to help you throughout if have any questions. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching in our training room. This award winning virtually delivered 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:
R is an open source programming language so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. 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. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here. |
Thursday 9 September 2021
| 09:30 |
PLEASE NOTE: The Bioinformatics Team are presently teaching this course live online, with tutors available to help you throughout if have any questions. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching in our training room. This award winning virtually delivered course is intended to provide a strong foundation in practical statistics and data analysis using the Python 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:
Python is an open source programming language so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. 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 Python and moreover know when, and when not, to apply these techniques. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here. |
| 10:00 |
In this session we will discuss together how to get your mentoring relationship off to a good start, how to build trust with your mentee and build your confidence as a mentor. We will also touch on how to overcome any obstacles in the mentoring relationship. |
| 11:00 |
Japanese: Beginner Intensive
Finished
Introductory course to Japanese. This course is for those with no previous knowledge of Japanese. Communicative context, with videos, audio, texts and conversation. |
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In this session we will discuss together how to get your mentoring relationship off to a good start, how to build trust with your mentor and build your confidence as a mentee. We will also touch on how to overcome any obstacles in the mentoring relationship. |
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| 12:00 |
Research Ethics and Integrity
Finished
Integrity and ethics are core to the requirements of being a research leader, producing excellent research and helping others do the same. This session will, through a mixture of presentation, discussion and case studies, explore the University's expectations as regards ethics and integrity and how research leaders can apply them in their own work and support their teams and colleagues to meet the highest standards. The course will explore issues of research integrity and misconduct, examine the challenges posed by authorship and provide an introduction to the University's approach to handling research ethics. The course will be delivered by the Research Governance and Integrity Team in the Research Strategy Office. |
| 13:00 |
UIS Staff Summer Garden Gathering
Finished
It’s been a long time since we’ve seen each other in person and as the pandemic restrictions are easing, we’d like to celebrate the end of the summer with an informal outdoor gathering at Fitzwilliam College Grove and Chapel Lawn. Afternoon tea style food, individually boxed to include:
Followed by tea and coffee An outdoor bar is also available to purchase a selection of soft and alcoholic drinks |
| 14:00 |
The Bioinformatics Team are presently teaching this course live online, with tutors available to help you throughout if have any questions. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching in our training room. This award winning virtually delivered 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:
R is an open source programming language so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. 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. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here. |
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The contract between academic publisher Elsevier and UK Universities is due for renewal in December 2021. The UK Universities sector is entering negotiations with Elsevier with two core objectives: to reduce costs to levels UK universities can sustain, and to provide full and immediate open access to UK research. The outcome of negotiations may affect how you read and publish research. If we have to step away from a deal, the way you access some publications may change. Many funders have open access requirements, and a deal could mean that you can publish in open access journals ‘for free’ as the cost are incorporated in the deal, as is already the case with many other publishers. If a deal cannot be reached, some Elsevier journals may no longer fulfil funder policies. Come along to this virtual town hall meeting to hear more about the aims of the negotiations and their potential impacts, and to contribute your own views to the debate. The event will include:
You can find out more about the negotiations on this webpage: https://www.openaccess.cam.ac.uk/publishing-open-access/university-cambridge-and-elsevier-draft-landing-page You can submit questions in advance of the meeting through this form: https://forms.office.com/r/TL1Meq91E1 Please note that these talks may be recorded and shared within the University of Cambridge, although audience questions will not be. |
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Japanese: Beginner Intensive
Finished
Introductory course to Japanese. This course is for those with no previous knowledge of Japanese. Communicative context, with videos, audio, texts and conversation. |