All-provider course timetable

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.

Participants will need to bring their own laptop or tablet. If you cannot bring your own device, please contact librarytraining@medschl.cam.ac.uk.

Demonstration and discussion of the new Academic Structure that is scheduled to go live in CamSIS in February 2018. The Academic Structure is the way that students and their qualifications and courses are categorised in CamSIS.

Do you need a date in your diary to keep your language study ticking over?

Study your target language in the company of a friendly group. Decide on your academic, professional or personal focus, talk to others over tea and discuss strategies with a Language Adviser. Then we start and enjoy our own listening, reading, pronunciation practice etc.

Our learning centre offers 180+ languages! Be pestered to attend! We have quality biscuits.

If the course is in progress, registering your interest equals booking a place

If you don't wish to join at this stage but would like to be added to the mailing list to be kept up to date with the study group, please follow this link and search for 'Langcen-studygroup.

Need help with iDiscover? Call in at the General Enquiries Helpdesk (on the landing above the Entrance Hall) where a member of Library staff will be able to help you search our print and online collections, answer any questions you have, or give you a general overview.

Every Friday between 9.00 and 10.15.

This course is for IT Support Staff who may support users of Exchange Online. It will describe the mechanisms for migrations from Hermes and an on-premise Exchange service. The practical exercises will cover a range of operating systems and mail clients.

Please note that this is a one day course with two sessions and a break to lunch.

This course is for IT Support Staff who may support users of Exchange Online. It will describe the mechanisms for migrations from Hermes and an on-premise Exchange service. The practical exercises will cover a range of operating systems and mail clients.

Please note that this is a one day course with two sessions and a break to lunch.

One session covering the Cinahl database, targeted at nurses. Learn how to get the best out of your literature searches.

The Cisco Certified Network Associate (CCNA) programme is open to University IT Supporters. It covers network technology, protocols and theory at deeper levels reflective of University practices. There is a fee to attend this course and an additional fee to take the CCNA (200-120) certification exam.

CCNA Routing and Switching provides a comprehensive overview of networking concepts and skills, from network applications to the protocols and services provided to those applications by the lower layers of the network, with an emphasis on practical application, work-force readiness, and soft-skills development. You will progress from basic networking to more complex enterprise and theoretical networking models later in the curriculum.

There are four modules in the recommended sequence:

• Introduction to Networks
• Routing and Switching Essentials
• Scaling Networks
• Connecting Networks

We offer this program as instructor led with online access to the curriculum with the support of interactive media and an online networks laboratory called NETLAB. There is a mix of lecture, demonstrations and a heavy emphasis on practical activities using live lab equipment and a simulation package.

Introduction to Networks is the first module of four modules in CCNA. Please book onto this first module to reserve your place for the whole programme.

This module introduces the architecture, structure, functions, components, and models of the Internet and computer networks. The principles of IP addressing and fundamentals of Ethernet concepts, media, and operations are introduced to provide a foundation for the curriculum. By the end of the course, you will be able to build simple LANs, perform basic configurations for routers and switches, and implement IP addressing schemes.

This three day course is intended to open doors to applying statistics - whether directly increasing skills and personally undertaking analyses, or by expanding knowledge towards identifying collaborators. The end goal is to drive confident engagement with data analysis and further training - increasing the quality and reliability of interpretation, and putting that interpretation and subsequent presentation into the hands of the researcher. Each day of the course will deliver a mixture of lectures, workshops and hands-on practicals – and will focus on the following specific elements.

Day 1 focuses on basic approaches and the computer skills required to do downstream analysis. Covering: Basic skills for data manipulation in R. How to prepare your data effectively. Principles of experimental design and how this influences analysis.

On day 2, participants will explore the core concepts of statistics – so that they can begin to see how they can be applied to their own work, and to also help with better critical evaluation of the work of others. Covering: Basic statistics concepts and practice: power, variability, false discovery, t-test, effect size, simulations to understand what a p-value means.

On day 3 we will continue to explore core concepts of statistics, focusing on linear regression and multiple testing correction.

Course materials are available here.

This event is supported by a BBSRC Strategic Training Awards for Research Skills (STARS) grant.

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

By law, a copy of every UK print publication must be given to the British Library by its publishers, and to five other major libraries, including Cambridge University Library, that request it. Since April 2013 Legal Deposit has included material published digitally and online.

Non-print Legal Deposit material is accessed via designated PCs in the University Library and Affiliated Libraries.

With the amount of material now deposited electronically increasing, the University Library is offering informal training sessions with staff from the Reference Department. Whether you require a general overview or have specific enquiries, these sessions will be of help to you.

A member of staff will be available from 11.30-12.00 every Wednesday. There is no need to book a place; please make yourself known to staff at the enquiry desk in the main Reading Room.

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.

This three day course is intended to open doors to applying statistics - whether directly increasing skills and personally undertaking analyses, or by expanding knowledge towards identifying collaborators. The end goal is to drive confident engagement with data analysis and further training - increasing the quality and reliability of interpretation, and putting that interpretation and subsequent presentation into the hands of the researcher. Each day of the course will deliver a mixture of lectures, workshops and hands-on practicals – and will focus on the following specific elements.

Day 1 focuses on basic approaches and the computer skills required to do downstream analysis. Covering: Basic skills for data manipulation in R. How to prepare your data effectively. Principles of experimental design and how this influences analysis.

On day 2, participants will explore the core concepts of statistics – so that they can begin to see how they can be applied to their own work, and to also help with better critical evaluation of the work of others. Covering: Basic statistics concepts and practice: power, variability, false discovery, t-test, effect size, simulations to understand what a p-value means.

On day 3 we will continue to explore core concepts of statistics, focusing on linear regression and multiple testing correction.

Course materials are available here.

This event is supported by a BBSRC Strategic Training Awards for Research Skills (STARS) grant.

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

Moodle as the Virtual Learning Environment will be supporting teaching and learning at the University.

This training session will introduce participants to Moodle and cover the system basics such as the course structure, enrolment to a course, and roles for course members.

Do you need a date in your diary to keep your language study ticking over?

Study your target language in the company of a friendly group. Decide on your academic, professional or personal focus, talk to others over tea and discuss strategies with a Language Adviser. Then we start and enjoy our own listening, reading, pronunciation practice etc.

Our learning centre offers 180+ languages! Be pestered to attend! We have quality biscuits.

If the course is in progress, registering your interest equals booking a place

If you don't wish to join at this stage but would like to be added to the mailing list to be kept up to date with the study group, please follow this link and search for 'Langcen-studygroup.

Need help with iDiscover? Call in at the General Enquiries Helpdesk (on the landing above the Entrance Hall) where a member of Library staff will be able to help you search our print and online collections, answer any questions you have, or give you a general overview.

Every Friday between 9.00 and 10.15.

This three day course is intended to open doors to applying statistics - whether directly increasing skills and personally undertaking analyses, or by expanding knowledge towards identifying collaborators. The end goal is to drive confident engagement with data analysis and further training - increasing the quality and reliability of interpretation, and putting that interpretation and subsequent presentation into the hands of the researcher. Each day of the course will deliver a mixture of lectures, workshops and hands-on practicals – and will focus on the following specific elements.

Day 1 focuses on basic approaches and the computer skills required to do downstream analysis. Covering: Basic skills for data manipulation in R. How to prepare your data effectively. Principles of experimental design and how this influences analysis.

On day 2, participants will explore the core concepts of statistics – so that they can begin to see how they can be applied to their own work, and to also help with better critical evaluation of the work of others. Covering: Basic statistics concepts and practice: power, variability, false discovery, t-test, effect size, simulations to understand what a p-value means.

On day 3 we will continue to explore core concepts of statistics, focusing on linear regression and multiple testing correction.

Course materials are available here.

This event is supported by a BBSRC Strategic Training Awards for Research Skills (STARS) grant.

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

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

In this course, we give an introduction to the R environment and explain how it can be used to import, manipulate and analyse tabular data. After the course you should feel confident to start exploring your own dataset using the materials and references provided.

The course website providing links to the course materials is here.

Please note that although we will demonstrate how to perform statistical analysis in R, we will not cover the theory of statistical analysis in this course. Those seeking an in-depth explanation of how to perform and interpret statistical tests are advised to see the list of Related courses. Moreover, those with some programming experience in other languages (e.g. Python, Perl) might wish to attend the follow-on Data Analysis and Visualisation in R course.

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.

Moodle as the Virtual Learning Environment will be supporting teaching and learning at the University.

This is an advanced course for those who administer courses in Moodle and would like to use the Feedback activity to survey their course members.

This course covers the system steps involved in creating and maintaining:

• Alumni groups
• Boards
• Committees

This course covers the system steps required to add actions in Amicus:

• Adding an action
• Assigning actions
• Reminders
• Completing actions