All-provider course timetable

Successfully managing upwards depends on your confidence, diplomacy and influencing skills.

This workshop will empower you to handle tricky situations with your manager or colleagues:

• Benefits of ‘managing up’, what’s in it for you and them?
• Agreeing priorities and setting realistic expectations and boundaries
• Influencing when you don’t have authority
• Getting clarity on delegated work and appreciating the difficulties colleagues may be facing
• Challenging decisions in a way that is solutions-focussed and enables an open two-way discussion

You will also learn how to adapt to different personal styles in order to build an effective working relationships and understand how different drivers and motivators may affect someone else’s thinking, (why do they do that?).

This workshop provides an opportunity for those recruiting to professional services roles to update and refresh their understanding of the recruitment and selection processes at the University of Cambridge. It includes an overview of the current recruitment and selection process and how to create the conditions where you can recruit the best candidate, avoiding common pitfalls, whilst ensuring practice is fair to all candidates at each stage.

NOTE If you are new to recruitment and selection, it is recommended that you attend the 1 day Recruitment and Selection Skills workshop.

To provide an introduction to the Property Accounting Services team and the activities undertaken in the Section

Fire Safety Awareness training provided by the NHS for all embedded tenants.

Please note: This event will close for bookings one week before the event.

A thorough awareness of issues relating to research ethics and research integrity are essential to producing excellent research. This session will provide an introduction to the ethical responsibilities of researchers at the University, publication ethics and research integrity. It will be interactive, using case studies to better understand key ethical issues and challenges in all areas. There are three sessions running, you need attend only one.

This session provides you with a simple overview of the basics and how VAT applies to the University.

Presenting is a crucial skill for researchers, yet it is often something that even experienced scholars struggle with. This interactive workshop is designed for people who already have some experience of presenting and the basic principles involved, but would like to develop their skills in this area to a higher level.

This workshop provides the opportunity for practical experience of presenting within a supportive environment. During the workshop, you will be given time to design and deliver a short (5-10 minutes) presentation to a small audience comprised of your fellow researchers.

This course is designed for students with some presentation experience. It is possible to attend this course as an individual workshop, although we would recommend that you try to attend the series starting with the Basic Presentation Skills course.

One-to-one drop-in sessions for Public Health/EPI/Primary Care MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered.

This module introduces the statistical techniques of Exploratory and Confirmatory Factor Analyses. Exploratory Factor Analysis (EFA) is used to uncover the latent structure (dimensions) of a set of variables. It reduces the attribute space from a larger number of variables to a smaller number of factors. Confirmatory Factor Analysis (CFA) examines whether collected data correspond to a model of what the data are meant to measure. STATA will be introduced as a powerful tool to conduct confirmatory factor analysis. A brief introduction will be given to confirmatory factor analysis and structural equation modelling.

• Session 1: Exploratory Factor Analysis Introduction
• Session 2: Factor Analysis Applications
• Session 3: CFA and Path Analysis with STATA
• Session 4: Introduction to SEM and programming

This module introduces the statistical techniques of Exploratory and Confirmatory Factor Analyses. Exploratory Factor Analysis (EFA) is used to uncover the latent structure (dimensions) of a set of variables. It reduces the attribute space from a larger number of variables to a smaller number of factors. Confirmatory Factor Analysis (CFA) examines whether collected data correspond to a model of what the data are meant to measure. STATA will be introduced as a powerful tool to conduct confirmatory factor analysis. A brief introduction will be given to confirmatory factor analysis and structural equation modelling.

• Session 1: Exploratory Factor Analysis Introduction
• Session 2: Factor Analysis Applications
• Session 3: CFA and Path Analysis with STATA
• Session 4: Introduction to SEM and programming

This laptop only course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environments. 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 or Python 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

Both R and Python are free software environments that are suitable for statistical and data analysis.

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 or Python and moreover know when, and when not, to apply these techniques.

Before undertaking any piece of primary research it’s important to be aware of as much of the existing literature as possible. A systematic literature review can also be a research end in itself. And it’s not something to be taken lightly. But how can you be sure you’re being as rigorous as necessary? How can you manage the references you find, document the process, and also know when to stop searching?

This session assumes attendees have already had prior introductory training in literature searching. It is a prerequisite that you have attended either Introduction to Literature Searching (if you are a University of Cambridge staff member or student) or Getting the Best Results - Improving Your Database Searching (if you are an NHS staff member). Exceptions will be made if you received similar training from another department or university - please contact us if you have any questions about prerequisites.