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University of Cambridge Training

All-provider course timetable

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Tue 28 Feb 2012 – Mon 2 Apr 2012

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Tuesday 28 February 2012

14:00
Module 10:Time Series Analysis (2 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.

Module 4: Linear Regression (Series 2) (2 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.

16:00
Module 4: Linear Regression (Series 3) (2 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.

Module 4: Linear Regression (Series 1) (2 of 4) Finished 16:00 - 18:00 Titan Teaching Room 1, New Museums Site

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 29 February 2012

14:00
Module 4: Linear Regression for Judge students (2 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 (3 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 1 March 2012

09:15
Soccer Skills 1 (1 of 2) Finished 09:15 - 10:15 CHRISD Training Room 1


Would you like to play like Beckham, then this is the course for you!

Friday 2 March 2012

09:00
Soccer Skills 1 (2 of 2) Finished 09:00 - 16:00 CHRIS Training Room F59


Would you like to play like Beckham, then this is the course for you!

Tuesday 6 March 2012

14:00
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.

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.

16:00
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.

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

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 7 March 2012

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 8 March 2012

12:00

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

Tuesday 13 March 2012

10:15
Guide to Department Funds Finished 10:15 - 13:00 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.

14:00
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.

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.

16:00
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.

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

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 14 March 2012

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.

Monday 19 March 2012

14:15
Web Authoring: Introduction to HTML (Level 1) Finished 14:15 - 17:00 Titan Teaching Room 1, New Museums Site

This is a practical-based course for people new to writing Web pages. Only the basics of HTML (hypertext markup language) will be covered, but there are other courses for those wishing to extend their knowledge. By the end of the course participants will have created three personal linked web pages.

Wednesday 28 March 2012

09:00
Navigator: A Personal Development Programme for Men (1 of 4) Finished 09:00 - 16:30 Hughes Hall: Pavilion Room

Personal development is unique to each individual. It is about having time for yourself to take stock and consider your next moves. During this 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, improving your work/life balance and developing positive skills and attitude. If you want to progress and develop, then this programme is for you.

You should plan to attend all four sessions.

Sunday 1 April 2012

14:15
Web Authoring: Introduction to HTML (Level 1) Finished 14:15 - 17:00 Titan Teaching Room 1, New Museums Site

This is a practical-based course for people new to writing Web pages. Only the basics of HTML (hypertext markup language) will be covered, but there are other courses for those wishing to extend their knowledge. By the end of the course participants will have created three personal linked web pages.

Monday 2 April 2012

14:15
Web Authoring: Beyond the Basics (Level 2) Finished 14:15 - 17:00 Titan Teaching Room 1, New Museums Site

This follows on from the Introduction to HTML and is a practical-based course.

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