All-provider course timetable
Monday 1 March 2021
10:00 |
Data 1
![]() « Description not available » |
14:00 |
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 |
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. |
Sunday 7 March 2021
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. |
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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. |
Monday 8 March 2021
14:00 |
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 |
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. |
Friday 12 March 2021
12:00 |
The UIS can help you obtain software for your work at academic rates, which may mean that it is free of charge while you are at Cambridge. This is a "prequel" to some of the courses we give that require specialist software. |
Sunday 14 March 2021
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. |
Monday 15 March 2021
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. |
Monday 24 May 2021
15:00 |
test course to investigate joining instruction behaviour |
Tuesday 25 May 2021
14:00 |
CamSIS Search
![]() CamSIS Search is a tool used within CamSIS to create lists of students and update student data. This course will show you how to understand the data structure and how to use CamSIS Search to create detailed student lists and update data. |
Tuesday 19 October 2021
16:00 |
« Description not available » |
Thursday 21 October 2021
10:00 |
« Description not available » |
Sunday 24 October 2021
10:00 |
« Description not available » |
Monday 25 October 2021
16:00 |
« Description not available » |
Wednesday 27 October 2021
10:00 |
« Description not available » |
Learning with your mobile device
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Friday 29 October 2021
10:00 |
« Description not available » |
Saturday 30 October 2021
10:00 |
« Description not available » |