All-provider course timetable

Have you heard about High Performance Computing, but are not sure what it is or whether it is relevant for your work? Would you like to use a HPC, but are not sure where to start? Are you using your personal computer to run computationally demanding tasks, which take long and slow down your work? Do you need to use software that runs on Linux, but don't have access to a Linux computer? If any of these questions apply to you, then this course might be for you!

Knowing how to work on a High Performance Computing system is an essential skill for applications such as bioinformatics, big-data analysis, image processing, machine learning, parallelising tasks, and other high-throughput applications.

In this course we will cover the basics of High Performance Computing, what it is and how you can use it in practice. This is a hands-on workshop, which should be accessible to researchers from a range of backgrounds and offering several opportunities to practice the skills we learn along the way.

As an optional session for those interested, we will also introduce the (free) HPC facilities available at Cambridge University (the course is not otherwise Cambridge-specific).

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

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.

Leadership Essentials is a key programme suitable for those with responsibilities for others’ work, behaviour and development, which aims to help managers refresh and build their skills and experience in this area. As well as clarifying key responsibilities, it focuses on critical areas that some can find more difficult, such as giving and receiving feedback effectively and handling challenging conversations. The programme incorporates tutor input; opportunities for discussion, reflection and sharing of good practice with others with similar responsibilities. It also includes curated e-learning resources to support managers with their ongoing learning and development.

Participants are required to attend both half day sessions.

Before attending, please take some time to review the short Leadership Essentials: Management Responsibilities Films of other University colleagues talking about their role as a manager.

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

Please note: This course will be class room based/face to face teaching at CUED.

This course is designed for students and staff of the Judge Business School at Cambridge University, who have prior knowledge of Mandarin Chinese and wish to learn how to better communicate with native Chinese speakers in business settings.

For the language elements, the course is focused on key business communications in four areas: Present yourself and your business; establish business relations; business work and travel; and promote your business.

Another element of the course is to equip students to communicate effectively in the Chinese business context, through gaining a good understanding of Chinese company culture through industry case studies.

More information can be found on our website.

A course specifically for University of Cambridge staff and students. Attendees will learn how to search medical/healthcare databases accessed with a Raven login (such as Medline and Embase) effectively and efficiently, to learn how to save searches and references, and to create and maintain a bibliography. This course is delivered at an introductory/refresher level, and assumes you have had no prior training in how to search databases.

All attendees are required to have a Raven login. NHS staff wanting to learn similar material should book onto our 'Getting the Best Results - Improving Your Database Searching' course instead.

UPDATE: This session is taking place in the Medical Library's training room, not online.

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.

This is an opportunity for the members of the University to go one-on-one with Tableau experts across the Business Information and Strategic Insights Team, who can help you solve challenges.

The course is designed to give attendees the necessary skills to carry out risk assessments.

PLEASE BE AWARE: This event is run online, if you wish to book for the in-person version, please click here.

This award winning 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 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.

Want to make it easier and more efficient when working with data in Excel? You'll e surprised how much you can do with Excel when managing your data. You will learn tips and tricks that will save you time over the course of your studies/career which can be transferred to home live too.

• This is the In Person Face to Face version of the Live Online Excel: Data & Lists course.

This hands-on course is a follow up from the Excel 365: For Beginners and Improvers course which comes in 2 forms:

• In Person Face to Face
• Live Online

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.

• See Related Courses below to take your skills further

This short session will set the scene for those moving in to a role with professional responsibility for other members of staff at the University, supporting their work, behaviour and development. As we all know from our personal and professional experience, leaders and managers play a critical role in ensuring a productive, motivating and respectful working environment. The interactive session will explore what it means to be a good manager of others and provide pointers to where to find important information and further development as needed.

It is aimed at staff across all areas, disciplines, staff groups and levels of responsibility, including staff who are:

• new to managing one or more others
• new to leading a service or research area
• new to Cambridge, either as a new manager or with previous experience

PLEASE BE AWARE: This event is run in-person, if you wish to book for the online version, please click here.

This award winning 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 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.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

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.

Cognos is a reporting tool that utilises data from CUFS to provide users with additional reports and options. This introductory course is designed for new reporters - covering everything from running a report successfully as well as a number of useful tips and shortcuts.

Note: This course is mandatory in order to attend either of the following two courses below.

• GL Part 2: Reporting in the General Ledger
• Grants Part 2: Grant reports in Cognos

What this introductory course does not do is go through in detail the outputs of each individual report. Report outputs are explained in further detail in the courses above.

Cannot make any dates? See the on-demand online version of the course. Completion of this course will count as Cognos attendance for the purpose of acceptance onto the above courses. You should ask your Key Contact to request Cognos access for you, prior to working through the on-demand material.