All-provider course timetable
Monday 25 March 2019
09:00 |
Systemslink training
Finished
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09:30 |
Administrator Development Programme
Finished
Selection for this programme is via nomination by School Secretaries, Heads of Division or Heads of Non-School Institutions during the summer. Nominees will need to demonstrate the benefit of participating, both for themselves and their institution. Please speak to your line manager and/or appropriate nominator if you would like to be considered. Please see further information about key themes and speakers on the programme flyer. |
The course details are being finalised, for now please book a provisional place here and we will let you know when the details and application packs are available AAT Level 4, Professional Diploma in accounting. Students will be placed on the public day release programme with an external provider Once you have registered here you will need to complete the application form at the back of the briefing pack. This pack is available on our website https://www.finance.admin.cam.ac.uk/training/professional-qualifications/aat/university-programme Dates will be added once they have been confirmed |
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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. This event is supported by the BBSRC Strategic Training Awards for Research Skills (STARS) grant (BB/P022766/1). 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. |
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12:00 |
A course designed to take you step-by-step through academic writing and publication, with tips and resources to make writing up as simple as possible. The course will demystify the peer-review process, and help you to improve the precision and clarity of your academic writing. |
13:00 |
FS4 Unconscious Bias
Finished
Unconscious Bias refers to the biases we hold that are not in our conscious control. Research shows that these biases can adversely affect key decisions in the workplace. The session will enable you to work towards reducing the effects of unconscious bias for yourself and within your organisation. Using examples that you will be able to relate to, we help you to explore the link between implicit bias and the impact on the organisation. The overall aim of the session is to provide participants with an understanding of the nature of Unconscious Bias and how it impacts on individual and group attitudes, behaviours and decision-making processes. |
13:15 |
An overview of the benefits available to University employees, as part of the CAMbens Employee Benefits package. |
13:30 |
Core Statistics
Finished
This laptop only 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 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 generalised linear model analysis. 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. |
14:30 |
FAIR data are those that are Findable, Accessible, Interoperable and Reusable. Sounds simple enough, but what do each of these terms mean in a practical sense and how can you tell if your own research data is FAIR? The Research Data Team at the Office of Scholarly Communication join forces with FOSTER Open Science to offer a practical workshop to help you get to grips with the key principles and consider how you can start to make your own data FAIRer. Once you have completed How FAIR is your research data? An online course (for researchers and postgraduate students in all disciplines) we invite you to attend this workshop session with the Research Data Team from the Office of Scholarly Communication to discuss your experiences in assessing the FAIRness of your data, including any problems you encountered. You are welcome to bring examples of your data to this session to further develop your skills, or try your hand at FAIRifying more example datasets from Apollo. |
FAIR data are those that are Findable, Accessible, Interoperable and Reusable. Sounds simple enough, but what do each of these terms mean in a practical sense and how can your researchers tell if their research data is FAIR? The Research Data Team at the Office of Scholarly Communication join forces with FOSTER Open Science to offer this workshop to help you get to grips with the key principles and consider how you can help your researchers make their data FAIRer. Once you have completed How FAIR is that research data?: an online course (for research support staff including librarians and administrators in all disciplines) we invite you to attend this workshop session with the Research Data Team from the Office of Scholarly Communication to discuss your experiences in assessing the FAIRness of your data, including any problems you encountered. We will also discuss guidelines on how to best support researchers in making their data FAIR. |
Tuesday 26 March 2019
09:15 |
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09:30 |
In addition to applying for a provisional place here, you will need to complete an application form which can be found on our website https://www.finance.admin.cam.ac.uk/training/professional-qualifications/aat/university-programme
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During the programme you will explore your future in a practical way and learn how to develop your potential. You will undertake realistic self-assessment and set challenging goals. Key areas covered include communication skills, assertiveness, self confidence, improving your work/life balance and developing positive skills and attitude. If you want to progress and develop, then this programme is for you. |
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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. This event is supported by the BBSRC Strategic Training Awards for Research Skills (STARS) grant (BB/P022766/1). 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. |
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This introduction to building mobile apps explores the basic elements and options for an app, from the simpler menu-driven and webpage rendering approaches, to some of the possibilities involved in orientation and location-sensitive data inputs and augmented reality techniques. The course will include a review of some existing apps which help demonstrate many of the options available for apps, and provide the opportunity to design a basic app incorporating some of those elements. There will also be an overview of important security considerations, and ways to share and distribute a more polished app, either independently or via existing app repositories and stores. |
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This course will cover the use of Falcon Content Management Service by content and site managers. Please note: Falcon on Plone will be migrating to Falcon-on-Drupal over the the 2019-2020 academic year. If you are new to Falcon on Plone and have a requirement to learn the Falcon system, this course is for you. If your department plans to migrate soon (please ask your departmental IT Officer) there is a Falcon on Drupal: Migration from Falcon On Plone - An Introduction course. If you are new to Drupal there is a Drupal: An introduction course. |
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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. |
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Consultancy 101 is a training workshop designed to provide advice for academics and researchers that carry out consultancy for external organisations, and to explain why consulting can be a great way to share research knowledge. Are you considering becoming a consultant? Perhaps you are already consulting, but want to find out how to work more effectively, get the best price for your skills or discover how to simplify your administrative work? Cambridge Enterprise is delighted to offer this half-day training course to academics and researchers of the University. We will share expertise on best practice, tips on making life easier, and troubleshoot some of the key issues faced by consultants. This is an ideal opportunity to develop your skills. The workshop will offer a refresher for those already acting as consultants, and as an introduction for those considering consultancy in the near future. Book here to attend our workshop. |
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09:55 |
This induction briefing is mandatory for all new or temporary staff, new students, and visitors (from other departments or elsewhere) to the Cavendish Laboratory who are staying for more than one week, or are visiting regularly. It begins with a short HR induction. You will also need to book and attend Part 2 Induction if you do practical work - it follows 10 minutes after this session. |
10:00 |
Giving presentations is an essential skill for a researcher, be it in your deparment, at a major conference, or in your next job interview! You know your subject but sometimes issues of performance and clarity stop you being your best. Perhaps you can't project your voice, perhaps you are terrified of the Q&A, perhaps you feel your slides let you down, or perhaps you just don't know what to do to get better. This is a highly interactive workshop that requires you to throw yourself into the activities. Everyone will be involved as we apply some of the material from the online Presentation and Performance toolkit and try it out in a safe and supportive environment. The workshop is especially designed for those who feel less confident with the performance aspects of giving presentations. If you are comfortable standing up and talking in front of others then we recommend starting with the online materials. |
11:30 |
This risk assessment briefing follows the basic departmental induction and is mandatory for all new staff, students or visitors who will be doing one or more of the following:
You may only attend this session if you have done Part 1 (see "prerequisites" below). |
12:00 |
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A course to take you through conference poster design, with tips and resources to help with the content and presentation in order to ensure you communicate your research effectively. The course will cover where to source good quality, free graphics, how to include references in your poster, and advice about how best to present it at a conference. |
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12:20 |
JTC: English speaking practice
Finished
A relaxed one-to-one practice speaking session with volunteer native speaker Please book no more than 2 sessions per week and not back to back. |
12:40 |
JTC: English speaking practice
Finished
A relaxed one-to-one practice speaking session with volunteer native speaker Please book no more than 2 sessions per week and not back to back. |
13:00 |
JTC: English speaking practice
Finished
A relaxed one-to-one practice speaking session with volunteer native speaker Please book no more than 2 sessions per week and not back to back. |
13:30 |
The series aims to help outreach practitioners at the University develop Evaluation Plans for their current projects and embed evaluation into the development of any future outreach activity. To get the full benefit from the series, participants are expected to attend all three workshops. We understand that for practitioners this may be difficult due to workload, so we have allowed the option to sign up and indicate if you are unlikely to make one or more of the sessions. If you are unable to attend a session the expectation would be that you read up on the content before the subsequent session and complete any tasks. |
14:00 |
This induction is required for anyone planning to work unsupervised at the Maxwell Centre, Department of Physics. It has two parts:
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14:25 |
This induction is required for anyone planning to work unsupervised at the Maxwell Centre, Department of Physics. It has two parts:
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