All-provider course timetable
Friday 25 February 2011
| 09:30 |
IOSH Managing Safely
Finished
Managing Safely is ideally suited to managers, research supervisors, administrators with safety responsibilities and Departmental Safety Officers across all sectors of the University. It leads to a nationally recognised and accredited training certificate. Please contact the course organiser, Will Hudson (wjh29@admin.cam.ac.uk) for further details before booking on the course. It is an interactive course that includes state-of-the-art animation in the PowerPoint presentation, work books, DVDs, board games and quizzes, assessments, and a risk assessment project. |
Monday 28 February 2011
| 14:00 |
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
Finished
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 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 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 1 March 2011
| 09:00 |
Advanced Gardening Skills
Finished
|
| 14:00 |
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
Finished
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 |
Wednesday 2 March 2011
| 09:00 |
Advanced Gardening Skills
Finished
|
Thursday 3 March 2011
| 09:00 |
How to Have an Influence
Finished
Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? Then this is the course for you! |
| 10:00 |
Advanced Gardening Skills
Finished
|
Sunday 6 March 2011
| 04:05 |
Lecturing and Performance 6
Finished
Test course description |
Monday 7 March 2011
| 09:00 |
How to Have an Influence
Finished
Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? Then this is the course for you! |
| 14:00 |
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
Finished
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 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 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 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
Finished
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. |
Sunday 13 March 2011
| 12:00 |
Time Management FOR TESTING
Finished
Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? Then this is the course for you! You will learn many practical time management tips to help you work smarter, not harder. This course will cover setting priorities, dealing with interruptions, managing the paper mountain and email avalanche, guidelines for saying ‘no’ and it will show you how to change your use of time. |
Monday 14 March 2011
| 14:00 |
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
Finished
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 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 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. |