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University of Cambridge Training

All-provider course timetable

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Mon 7 Mar 2011 – Tue 26 Apr 2011

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Monday 7 March 2011

14:00
Module 4: Linear Regression (Series 2) (3 of 4) Finished 14:00 - 16:00 Titan Teaching Room 2

Module introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.

Module 10:Time Series Analysis (3 of 4) Finished 14:00 - 16:00 Phoenix Teaching Room

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

The module introduces time series techniques relevant to forecasting in social science research and computer implementation of the methods.

16:00
Module 4: Linear Regression (Series 1) (3 of 4) Finished 16:00 - 18:00 Titan Teaching Room 1

Module introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.

Module 4: Linear Regression (Series 3) (3 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

Module introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.

Tuesday 8 March 2011

14:00
Module 4: Linear Regression for Judge students (3 of 4) Finished 14:00 - 16:00 Judge Business School, Computer Room

Module introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.

Module 11: Multilevel Modelling (4 of 4) Finished 14:00 - 16:00 Titan Teaching Room 2

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research

Thursday 10 March 2011

12:00

An introduction to the wide range of resources available at the MML Library and the UL, both in print and online.

Friday 11 March 2011

09:45

How to succeed in your PhD! A one day course which prepares final year PhD students for finishing the writing up, surviving the viva and moving on into postdoc or other employment. All research students in the Graduate School of Life Sciences are expected to attend this highly-recommended course at some point in their final year. The Michaelmas and Easter Term instances are in town and have a bias towards those studying in Biological Sciences; the Lent Term instance is on the Addenbrooke's site and has a bias towards those studying in Clinical Medicine.NB this course replaces both the 'Completing your PhD' and 'FUMO' courses.

Monday 14 March 2011

14:00
Module 4: Linear Regression (Series 2) (4 of 4) Finished 14:00 - 16:00 Titan Teaching Room 2

Module introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.

Module 10:Time Series Analysis (4 of 4) Finished 14:00 - 16:00 Phoenix Teaching Room

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

The module introduces time series techniques relevant to forecasting in social science research and computer implementation of the methods.

16:00
Module 4: Linear Regression (Series 1) (4 of 4) Finished 16:00 - 18:00 Titan Teaching Room 1

Module introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.

Module 4: Linear Regression (Series 3) (4 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

Module introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.

Tuesday 15 March 2011

14:00
Module 4: Linear Regression for Judge students (4 of 4) Finished 14:00 - 16:00 Judge Business School, Computer Room

Module introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.

Wednesday 16 March 2011

14:00
Laser Safety for Class 3B and 4 Laser Users and Research Supervisors charged (3 of 3) Finished 14:00 - 16:30 8 Mill Lane, Lecture Room 1

This course is an essential component of training for new laser users, which should be backed up by practical training in departments. It will provide you with an introduction to laser safety and the relevant regulations and standards that apply to laser use.

15:00
How to Keep a Lab Notebook (Lecture/workshop) Finished 15:00 - 17:00 Geography Dept

Your lab notebook is one of the most important and precious objects you, as a scientist, will ever have. This session explore how keeping an exemplary laboratory notebook is crucial to good scientific practice in lab research. The course will consist of a short talk, a chance to assess some examples of good and bad practice, with plenty of time for questions and discussion. You might like to bring along your own lab notebook for feedback. (Please note that issues relating to protection of Intellectual Property Rights will not be covered in this session)

Tuesday 22 March 2011

09:00
Access 2007: Level 1 (Win) (workbooks) Finished 09:00 - 12:30 Titan Teaching Room 2

The skills and knowledge acquired in Microsoft Access 2007 Level 1 are sufficient to create robust relational database systems, enter, edit and delete data in database files, produce information in forms and reports and generate queries on the data. Microsoft Access 2007 Level 1 is designed for people who need to know how to create effective databases and to manipulate data to provide viable information.

Watsonia workbook tutorials. Files for the exercises are provided on CDs.

10:00
Annual Departmental Safety Officer Event Finished 10:00 - 12:30 8 Mill Lane, Lecture Room 1

An annual event for Departmental Safety Officers. More details to follow...

Friday 25 March 2011

09:45
RSVP: wRiting, Submitting, Viva, emPloyment (Lectures and seminars) Finished 09:45 - 17:00 8 Mill Lane, Lecture Room 1

How to succeed in your PhD! A one day course which prepares final year PhD students for finishing the writing up, surviving the viva and moving on into postdoc or other employment. All research students in the Graduate School of Life Sciences are expected to attend this highly-recommended course at some point in their final year. The Michaelmas and Easter Term instances are in town and have a bias towards those studying in Biological Sciences; the Lent Term instance is on the Addenbrooke's site and has a bias towards those studying in Clinical Medicine.NB this course replaces both the 'Completing your PhD' and 'FUMO' courses.

Monday 18 April 2011

02:00
How to Keep a Lab Notebook (Lecture/workshop) Finished 02:00 - 17:00 Geography Dept

Your lab notebook is one of the most important and precious objects you, as a scientist, will ever have. This session explore how keeping an exemplary laboratory notebook is crucial to good scientific practice in lab research. The course will consist of a short talk, a chance to assess some examples of good and bad practice, with plenty of time for questions and discussion. You might like to bring along your own lab notebook for feedback. (Please note that issues relating to protection of Intellectual Property Rights will not be covered in this session)

Tuesday 19 April 2011

09:30

This course will benefit anyone in a work environment and is designed to provide candidates with an understanding of health and safety requirements placed on employers and employees. If you require training before the next planned course please contact the course leader as it may be possible to arrange some training earlier if there is enough demand. There will be a nominal fee (20 ukp) for certification with the Chartered Institute of Environmental Health if you are a member of the University. If the University is not your employer, please contact the course leader for details and fee. Please note candidates must bring their University Card or another form of photo ID with them on the day in order to be able to attend the course.

10:00
Guide to Department Funds (1 of 2) Finished 10:00 - 13:15 Greenwich House: Training Room 2

Much of the session comprises a case study based on a medium sized University department. Delegates will examine University regulations and procedures and decide the actions for various scenarios and correct anomalies for selected sources of funds.

12:15
Graduate Seminars in Neuroscience (1 of 3) Finished 12:15 - 13:15 Videoconferencing Suite

Understanding the brain is widely cited as being the most difficult task facing us today. Ultimately we want the combined knowledge from various approaches to provide us with insight into how nervous systems generate behaviours, and how we can intervene when it goes wrong. More than ever, critical analysis needs to be applied to neuroscience data. This critical ability is an essential component of any scientific training, yet it is often lost during the (relatively short) course of a PhD, where the focus is on generating data. Journal clubs, guest lectures and dicussions will provide a basis for developing critical skills in neuroscience.

Wednesday 20 April 2011

09:30

This course will benefit anyone in a work environment and is designed to provide candidates with an understanding of health and safety requirements placed on employers and employees. If you require training before the next planned course please contact the course leader as it may be possible to arrange some training earlier if there is enough demand. There will be a nominal fee (20 ukp) for certification with the Chartered Institute of Environmental Health if you are a member of the University. If the University is not your employer, please contact the course leader for details and fee. Please note candidates must bring their University Card or another form of photo ID with them on the day in order to be able to attend the course.

10:00
Guide to Department Funds (2 of 2) Finished 10:00 - 12:45 Greenwich House: Training Room 2

Much of the session comprises a case study based on a medium sized University department. Delegates will examine University regulations and procedures and decide the actions for various scenarios and correct anomalies for selected sources of funds.

Tuesday 26 April 2011

12:15
Graduate Seminars in Neuroscience (2 of 3) Finished 12:15 - 13:15

Understanding the brain is widely cited as being the most difficult task facing us today. Ultimately we want the combined knowledge from various approaches to provide us with insight into how nervous systems generate behaviours, and how we can intervene when it goes wrong. More than ever, critical analysis needs to be applied to neuroscience data. This critical ability is an essential component of any scientific training, yet it is often lost during the (relatively short) course of a PhD, where the focus is on generating data. Journal clubs, guest lectures and dicussions will provide a basis for developing critical skills in neuroscience.

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