All-provider course timetable
Friday 23 March 2018
09:00 |
This compulsory session introduces Research Data Management (RDM) to Chemistry PhD students. It is highly interactive and utilises practical activities throughout. Key topics covered are:
Refreshments are included for this course |
10:00 |
The sessions will be designed alongside managers and subject leaders to provide teams and groups with valuable opportunities to work together on developing ideas and strategic plans, which will contribute to the Strategy for Cambridge University Library and identify areas that could become part of a collaborative strategy for library services across Cambridge. |
13:30 |
Looking back at your experience of education you can probably remember those teachers and lecturers who were excellent. We remember the ones who were good because they have left a lasting impact on us; shaping both our learning in the past and our approach as teachers. Supervising undergraduate students at Cambridge can be one of the most rewarding activities for PhDs and Postdocs and this course is designed to make sure that you can offer your best and hopefully be one of those memorable teachers for someone else. This blended workshop incorporates personal reflection on teaching practice, discussion of real teaching scenarios, a chance to ask questions of an experienced supervisor and access to practical information about organising and carrying out your supervisions. This training is required by many colleges before you can carry out supervisions and is always a popular course. |
Monday 26 March 2018
09:30 |
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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. |
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Voice and Presentation (One-to-One)
CANCELLED
Would you like to make a positive initial impact and keep control of difficult situations? In this individualised and confidential one-hour session you will determine the objectives and work on exercises to address your specific interests. |
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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). 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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10:30 |
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10:35 |
Voice and Presentation (One-to-One)
CANCELLED
Would you like to make a positive initial impact and keep control of difficult situations? In this individualised and confidential one-hour session you will determine the objectives and work on exercises to address your specific interests. |
11:30 |
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11:40 |
Voice and Presentation (One-to-One)
CANCELLED
Would you like to make a positive initial impact and keep control of difficult situations? In this individualised and confidential one-hour session you will determine the objectives and work on exercises to address your specific interests. |
13:30 |
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13:45 |
Voice and Presentation (One-to-One)
CANCELLED
Would you like to make a positive initial impact and keep control of difficult situations? In this individualised and confidential one-hour session you will determine the objectives and work on exercises to address your specific interests. |
14:30 |
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14:50 |
Voice and Presentation (One-to-One)
CANCELLED
Would you like to make a positive initial impact and keep control of difficult situations? In this individualised and confidential one-hour session you will determine the objectives and work on exercises to address your specific interests. |
15:30 |
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15:55 |
Voice and Presentation (One-to-One)
CANCELLED
Would you like to make a positive initial impact and keep control of difficult situations? In this individualised and confidential one-hour session you will determine the objectives and work on exercises to address your specific interests. |
Tuesday 27 March 2018
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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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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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). 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 course covers viewing, processing and recording data for applications, adding notes and attachments, generating rejection emails, generating electronic reference requests, processing applicants through the selection process and transferring successful applicants to CHRIS. |
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10:00 |
It’s that time of year: the report is looming on the horizon and the reality of writing is here! Aimed at first-year PhD students, this course is designed to get you thinking and working effectively on your end-of-first-year report / Certificate of Postgraduate Studies. How do you start? What is expected? How do you make it work for you? These and many other important questions, hints and tips will be addressed in this half-day session.
Outcomes:
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The sessions will be designed alongside managers and subject leaders to provide teams and groups with valuable opportunities to work together on developing ideas and strategic plans, which will contribute to the Strategy for Cambridge University Library and identify areas that could become part of a collaborative strategy for library services across Cambridge. |
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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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