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All-provider course timetable

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Wed 11 Dec – Thu 12 Dec

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Wednesday 11 December

09:00
UTBS: Training Administrator Training [Places] 09:00 - 13:00 University Information Services, Roger Needham Building, Ely Training Room 2

This course is designed for Training Administrators of a new provider on the University Training Booking System (UTBS) and it will take them through theory and practicals on how to administer their training programme on the UTBS.

Medicine: SSC 2 (For Year 4 clinical students only) new [Places] 09:00 - 10:30 eLearning 1 - School of Clinical Medicine

Your SSC will require that you find scientific literature in order to read around a topic, even if you're are not doing a systematic review as the eventual outcome. It is a great opportunity to gain Key Skills which will be valuable for the SSC, your Year 5 Paeds CAT, and the rest of your professional life.

This session will be a refresher in how to search medical/healthcare databases effectively and efficiently, save and record literature search terms, and keep track of the results that you find.

Medicine: SSC 1 (For Year 4 clinical students only) new [Places] 09:00 - 10:30 eLearning 3 - School of Clinical Medicine

Your SSC will require that you find scientific literature in order to read around a topic, even if you're are not doing a systematic review as the eventual outcome. It is a great opportunity to gain Key Skills which will be valuable for your SSC, your Year 5 Paeds CAT, and the rest of your professional life.

This session will teach you how to search medical/healthcare databases effectively and efficiently, save and record literature search terms, and keep track of the results that you find.

09:15
Inclusive Leadership Programme (Academic and Research Leaders) new (3 of 4) In progress 09:15 - 13:00 Greenwich House, Edmonton Room

This programme is designed to support academic and research leaders and managers with the skills and insights they need to lead others effectively. Group leaders and PIs/senior researchers with responsibility for others are particularly encouraged to attend.

It will enable participants to reflect on their current leadership style and provide techniques they can use to effectively manage a diverse range of perspectives and create an inclusive culture across the University. Those with responsibility for others have a key role to play in shaping a positive working environment, supporting progression and ensuring equality, including pay equality. Given the University's strategic priorities, it is critical that leaders and managers understand the impact of their decisions throughout the employment timeline and know how to reduce the risk of sex, race or other discrimination, whether explicit or implicit.

The programme is delivered in partnership with Pearn Kandola, experts in evidence-based inclusive leadership development.

09:30
How to Excel - Part 1 & 2 (For Finance Staff) (1 of 2) Not bookable 09:30 - 12:30 Finance Division, Greenwich House, Ferrara Room (IT Training Room)

This course will enable the participants to practice existing spreadsheet skills and develop more advanced skills within the context of UFS data. There will be the opportunity to extract data from the system and learn to manipulate, analyse and use it for reporting purposes. The course runs over two sessions and participants will need to attend both of these sessions.

IAFIG-RMS: Bioimage analysis with Python new charged (3 of 5) In progress 09:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

THIS EVENT IS NOW FULLY BOOKED!

The aim of this 5 days course is to develop motivated participants toward becoming independent BioImage Analysts in an imaging facility or research role. Participants will be taught theory and algorithms relating to bioimage analysis using Python as the primary coding language.

Lectures will focus on image analysis theory and applications. Topics to be covered include: Image Analysis and image processing, Python and Jupyter notebooks, Visualisation, Fiji to Python, Segmentation, Omero and Python, Image Registration, Colocalisation, Time-series analysis, Tracking, Machine Learning, and Applied Machine Learning.

The bulk of the practical work will focus on Python and how to code algorithms and handle data using Python. Fiji will be used as a tool to facilitate image analysis. Omero will be described and used for some interactive coding challenges.

Research spotlight talks will demonstrate research of instructors/scientists using taught techniques in the wild.

This event is organized in collaboration with the Image Analysis Focused Interest Group and is sponsored by the Royal Microscopical Society.

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.

Postdoc Welcome Event [Places] 09:30 - 12:00 Postdoc Centre @ Eddington, Sanders Hall

A must-attend morning with information tailored to postdocs in Cambridge, whether University-based or employed by Colleges or Research Institutions.

At this event, you will be given information about: o Your contract o Professional development & the careers service o Accommodation (including how to apply for accommodation at the new North West Cambridge development) o The postdoc community at Cambridge

and have ample opportunity to meet other postdocs and network.

10:00
Transport and Movement of Radioactive Materials [Places] 10:00 - 12:00 Greenwich House, Cairo Room

This short course is designed to provide basic information to consignors, stores personnel, and departmental drivers on the nature of radioactivity, its effects on people and how we protect ourselves from 'radiation'. You do not need any previous knowledge of the nature or effects of radioactivity. We also cover in detail the rules and regulations concerning transport and movement of radioactive substances.

Who should attend? Departmental drivers from departments that consign radioactive materials or waste and stores managers and radiation protection supervisors who are responsible for consigning or transporting radioactive materials between departments or on the public roads.

Welcome to Key Travel [Places] 10:00 - 11:00

Key Travel is the University’s preferred supplier for travel services and has recently linked up with Booking.com. This webinar is a great opportunity to find out more about how Key Travel can support you with your travel booking needs, how you can get the best out of their Online Booking Tool and the savings you could achieve.

10:30
Drupal: An Introduction [Standby] 10:30 - 13:00 University Information Services, Roger Needham Building, Ely Training Room 1

This course will cover the most essential features and concepts of Drupal Content Management Service through hands on activities.

11:00
Menopause Café - Alison Richard Building new CANCELLED 11:00 - 12:00 Sidgwick Site, Alison Richard Building, Atrium

Menopause Cafés exist to increase awareness of the impact of the menopause on those experiencing it, their friends, colleagues, and families.

Anybody interested in sharing stories, experiences, and questions about menopause is welcome!

Will be held in the Alison Richard Building Café on the ground floor just past Reception.

Medicine: SSC Systematic Reviews (For Year 4 clinical students only) new [Places] 11:00 - 12:00 eLearning 1 - School of Clinical Medicine

This is a course designed for students undertaking a systematic review for their SSC project. It will cover all aspects of the systematic review process: ensuring your database search is as comprehensive as possible (and knowing when to stop), how to manage the process and results of the systematic review, and how to save references and cite them effectively.

13:30
Recruitment Essentials: Appointing the Right Candidate (Academic Appointments) [Full] 13:30 - 15:30 University Centre, Cormack Room


This workshop provides an opportunity for academic staff to understand the recruitment and selection process and how to create the conditions where you can recruit the best candidate and avoid common pitfalls. It includes an overview of the recruitment and selection process and identifies the key principles to ensure practice is fair to all candidates at each stage.

The course is primarily aimed at academic staff involved in making selection decisions for academic roles and those with responsibility for coordinating academic recruitment procedures.

14:00
Introduction to Research Integrity at Cambridge new [Places] 14:00 - 16:00 17 Mill Lane, Seminar Room E


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 and explore issues of good research practice, research integrity and research misconduct. It will be interactive, using case studies to better understand key ethical issues and challenges in all areas.

The course will:

  • explore the issue of research misconduct in academia and facilitate discussion of why and how it occurs
  • explain the University and national expectations around research integrity and examine how this effects researchers
  • discuss some of the challenges to the integrity of research and ask what individuals, groups and institutions can do to tackle them
  • introduce the University’s research ethics system


The course will be delivered by the Research Governance Team in the Research Strategy Office.

Python 3: Advanced Topics (Self-paced) [Places] 14:00 - 17:00 University Information Services, Phoenix Teaching Room 1, New Museums Site

This course is part of the Scientific Computing series and is suitable for people who have Python experience equivalent to either of the introductory courses: Introduction for Absolute Beginners or Introduction for Programmers

These sessions consist of a selection of self-paced mini-courses, each taking at most a half-day. Python expert(s) from the UCS will be present to answer questions or address difficulties with these. Attendees can select from the available topics to most closely meet their individual needs. Attendees are welcome to attend more than one session to work through multiple topics. If an attendee finishes a topic with time to spare they may select another, and so on.

CamSIS Search [Places] 14:00 - 17:00 University Information Services, Roger Needham Building, Ely Training Room 1

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.

Managing Stress in Times of Uncertainty new [Places] 14:00 - 15:00 Institute of Criminology, Room B3

Stress and its partner anxiety are part of life for us all. In fact, without them, we would not achieve nearly as much as we do. However, too much stress can become problematic. In these times of uncertainty, it is more important than ever to prioritise our mental health, to recognise when we and others are struggling, and to find strategies to help us manage its impact. This talk will put stress and anxiety in context and offer ways in which to think about and manage their effect on us both physiologically and mentally.

Presenter: Ashley Meggitt MSc Ashley is an associate lecturer and research psychologist working at Anglia Ruskin University. He holds a master's degree in psychology and is studying for his PhD. He spent 25 years of his first career working within the Cambridge University and College environment and is well versed with many of the challenges this brings. He has also spent the last 5 years volunteering for a mental health charity.

JTC: 1-to-1 Language Learning Advice new [Full] 14:00 - 14:30 John Trim Centre

A 30 minute appointment with a Language Adviser to explore opportunities and resources to help you with your plans and aims for your language learning. We advise on learning strategies across a range of 180+ languages in our learning centre. Click here to view our current index of languages.

These appointments are for advice on learning languages other than English. Should you want support for language skills in English, please do not book into one of these appointments but send your request to adtis@langcen.cam.ac.uk instead.

(Please note that if you are seeking advice about our taught courses, you are encouraged to drop in to the Language Centre or book early in the term rather than wait for an appointment. See our website for details.)

Advising appointments can be used to:

  • Decide on your short term and longer term goals
  • Discuss learning strategies for independent language study
  • Formulate a personal learning plan
  • Evaluate your progress so far and identify your next steps
  • Tackle more challenging aspects of your language learning, e.g., strategies for developing listening
  • Talk about ways of shaping a self-study session
  • Explore resources in specialist areas
  • Consider how taught course options in Cambridge can fit in to a longer term plan
  • Find out more about intensive language courses abroad
15:00
JTC: 1-to-1 Language Learning Advice new [Full] 15:00 - 15:30 John Trim Centre

A 30 minute appointment with a Language Adviser to explore opportunities and resources to help you with your plans and aims for your language learning. We advise on learning strategies across a range of 180+ languages in our learning centre. Click here to view our current index of languages.

These appointments are for advice on learning languages other than English. Should you want support for language skills in English, please do not book into one of these appointments but send your request to adtis@langcen.cam.ac.uk instead.

(Please note that if you are seeking advice about our taught courses, you are encouraged to drop in to the Language Centre or book early in the term rather than wait for an appointment. See our website for details.)

Advising appointments can be used to:

  • Decide on your short term and longer term goals
  • Discuss learning strategies for independent language study
  • Formulate a personal learning plan
  • Evaluate your progress so far and identify your next steps
  • Tackle more challenging aspects of your language learning, e.g., strategies for developing listening
  • Talk about ways of shaping a self-study session
  • Explore resources in specialist areas
  • Consider how taught course options in Cambridge can fit in to a longer term plan
  • Find out more about intensive language courses abroad
16:00
JTC: 1-to-1 Language Learning Advice new [Full] 16:00 - 16:30 John Trim Centre

A 30 minute appointment with a Language Adviser to explore opportunities and resources to help you with your plans and aims for your language learning. We advise on learning strategies across a range of 180+ languages in our learning centre. Click here to view our current index of languages.

These appointments are for advice on learning languages other than English. Should you want support for language skills in English, please do not book into one of these appointments but send your request to adtis@langcen.cam.ac.uk instead.

(Please note that if you are seeking advice about our taught courses, you are encouraged to drop in to the Language Centre or book early in the term rather than wait for an appointment. See our website for details.)

Advising appointments can be used to:

  • Decide on your short term and longer term goals
  • Discuss learning strategies for independent language study
  • Formulate a personal learning plan
  • Evaluate your progress so far and identify your next steps
  • Tackle more challenging aspects of your language learning, e.g., strategies for developing listening
  • Talk about ways of shaping a self-study session
  • Explore resources in specialist areas
  • Consider how taught course options in Cambridge can fit in to a longer term plan
  • Find out more about intensive language courses abroad

Thursday 12 December

09:00
Adobe Photoshop CC: Advanced (Level 2) [Places] 09:00 - 12:30 University Information Services, Phoenix Teaching Room 2, New Museums Site

Following on from the Photoshop CC: Introduction (Level 1) course, this course covers some of the more advanced features of Adobe Photoshop CC, which is the latest version of the popular image manipulation and editing tool for graphics and design professionals and photographers. The course will explore some of the more advanced features of Photoshop. Techniques will be explained and demonstrated, and participants will then be given the opportunity to practice these for themselves.

Please note: This course requires that you use your CRSid and Raven password to log into Adobe Creative Cloud. If you currently log in to use Microsoft Office, then the same login details are used, and you do not need to do anything except to know your Raven password.

Otherwise, if you do not know your password, or have not changed your Raven password in the last three years, you must do so before attending the course, please go here: https://password.csx.cam.ac.uk/ you can set the same password.

Please arrive to START THE COURSE PROMPTLY in order to set up the Adobe environment, if you don’t then you may find it more difficult to follow the instructor.

To provide an opportunity for someone from elsewhere in Finance Division to spend half a day in the Treasury & Investments Team to get an overview and appreciation of what they do. The Treasury & Investments team are ofering two sessions, one on Treasury and one on Investments. Ideally participants should attend this one (Treasury) before attending the Investments session however this is not a pre-requisite.

09:30
Lifting and Manual Handling [Places] 09:30 - 11:00 Greenwich House, Jaffna Room

This awareness training is for all staff who are regularly involved in moving and carrying loads and setting up equipment etc. The course involves theory, video and a practical demonstration by the instructor.

Also available to deliver in departments and colleges where a more bespoke course maybe useful. See Unscheduled events for more details.

IAFIG-RMS: Bioimage analysis with Python new charged (4 of 5) In progress 09:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building, Downing Site

THIS EVENT IS NOW FULLY BOOKED!

The aim of this 5 days course is to develop motivated participants toward becoming independent BioImage Analysts in an imaging facility or research role. Participants will be taught theory and algorithms relating to bioimage analysis using Python as the primary coding language.

Lectures will focus on image analysis theory and applications. Topics to be covered include: Image Analysis and image processing, Python and Jupyter notebooks, Visualisation, Fiji to Python, Segmentation, Omero and Python, Image Registration, Colocalisation, Time-series analysis, Tracking, Machine Learning, and Applied Machine Learning.

The bulk of the practical work will focus on Python and how to code algorithms and handle data using Python. Fiji will be used as a tool to facilitate image analysis. Omero will be described and used for some interactive coding challenges.

Research spotlight talks will demonstrate research of instructors/scientists using taught techniques in the wild.

This event is organized in collaboration with the Image Analysis Focused Interest Group and is sponsored by the Royal Microscopical Society.

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.

10:00
Understanding Implicit or Unconscious Bias [Places] 10:00 - 12:00 Greenwich House, Edmonton Room


This session will provide an introduction to implicit or unconscious bias and will help you start to understand how our biases influence the decisions we make. These may include decisions around recruitment, selection, assessment and broader interactions with others.

The session will include tutor input, group activities and videos and to raise awareness about how to recognise and begin to manage the impact of implicit bias. We will also consider further sources of guidance to support individuals in their roles with specific responsibilities e.g. for managing others, teaching etc.

Accessibility: How to Produce Accessible Documents - An Introduction (Workshop) new [Places] 10:00 - 12:00 University Information Services, Titan Teaching Room 1, New Museums Site

This course will show you basic principles and processes for creating accessible documents in Microsoft Word and PowerPoint and PDFs.

Core Statistics (5 of 6) In progress 10:00 - 13:00 Clinical School, E-learning 1, 2, 3 (Level 2)

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 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.

Chemistry: CT10 Vibrational Spectroscopy new [Places] 10:00 - 12:00 Unilever Lecture Theatre

Spectroscopic methods in biochemistry and biophysics are powerful tools to characterise the chemical properties of samples in chemistry and biology, including molecules, macromolecules, living organisms, polymers and materials. Within the wide class of biophysical methods, infrared spectroscopy (IR) is a sensitive analytical label-free tool able to identify the chemical composition and properties of a sample through its molecular vibrations, which produce a characteristic fingerprint spectrum. An infrared spectrum is commonly obtained by passing infrared radiation through a sample and determining what fraction of the incident radiation is absorbed at a particular energy. The energy at which any peak in an absorption spectrum appears corresponds to the frequency of a vibration of a part of a sample molecule. One of the great advantages of infrared spectroscopy is that virtually any sample in virtually any state may be studied, such as liquids, solutions, pastes, powders, films, fibres, gases and surfaces can all be examined. In this introductory course, the basic ideas and definitions associated with infrared spectroscopy will be described. First, the possible configurations of the spectrometers used to measure IR absorption will be discussed. Then, the vibrations of molecules, inorganic and organic chemical compounds, as well as large biomolecules will be introduced, as these are crucial to the interpretation of infrared spectra in every day experimental life.

Medicine: Introduction to Literature Searching (for University) new [Places] 10:00 - 12:00 Clinical School, Medical Library, Library Training Room

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.

JTC: Study Abroad Advice [Full] 10:00 - 10:30 John Trim Centre

A 30 minute appointment with a Language Adviser to explore intensive language courses abroad for your specific requirements. We can offer pointers for evaluating the options available and share information gleaned from students' feedback on courses that they have attended.

10:30
Menopause Café - Clinical Schools new [Places] 10:30 - 11:30 Clinical School, Cafe

Menopause Cafés exist to increase awareness of the impact of the menopause on those experiencing it, their friends, colleagues, and families.

Anybody interested in sharing stories, experiences, and questions about menopause is welcome!

14:00
Moodle: Getting Started [Full] 14:00 - 17:00 University Information Services, Roger Needham Building, Ely Training Room 2

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.

Core Statistics (6 of 6) In progress 14:00 - 17:00 Clinical School, E-learning 1, 2, 3 (Level 2)

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 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.

Medicine: Getting the best results - improving your database searching (for NHS staff only) new [Places] 14:00 - 16:00 Clinical School, Medical Library, Library Training Room

A course specifically for NHS staff. Attendees will learn how to search databases accessed with an Athens login (such as Medline, Embase and Cinahl) effectively and efficiently, to learn how to save searches and references, and to create and maintain a bibliography.

All attendees are required to have an NHS Athens login. University of Cambridge staff and students wanting to learn similar material should book onto the Introduction to Literature Searching (for University) course instead.