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University of Cambridge Training

All-provider course timetable

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Fri 28 Oct 2011 – Fri 11 Nov 2011

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Friday 28 October 2011

09:30
Intro to i-procurement for Buyers new charged (2 of 2) Finished 09:30 - 15:00 Greenwich House: Training Room 1

iProcurement, or iProc for short, is an internet way of ordering goods and services linked to an electronic Marketplace that contains hundreds and thousands of products. iProcurement is a new application accessed via the Cambridge University Finance System (CUFS). This course is also available on-line.

During the face to face standard course you will:

Set up system defaults Create Requisitions via the Marketplace and Non-Catalogue Approve your own requisitions (if within buying limit) Forward your requisitions for approval (if outside buying limit) Query and extract basic information from the system Make amendments If you are attending the buyers course you will also cover the following:

Suppliers Notifications Month End reports Converting requisitions into orders The course typically consists of small segments of trainer input and demonstration followed by exercises for individuals to work through for practice and to consolidate their understanding.

Tuesday 1 November 2011

00:00
Settling troubled souls new Finished 00:00 - 09:00 New Museums Site, Babbage Lecture Theatre

This course suggests ways to calm troubled souls

09:00
Introduction to Becoming a Knight new Finished 09:00 - 12:30 Hughes Hall: Pavilion Room

A short introduction on how to proceed from being a lowly squire to a noble knight

14:00
Module 6: Spatial Data Analysis (4 of 8) Finished 14:00 - 16:00 Geography Dept

Introducing students to methods of data analysis that are relevant to spatial data. Discussing nature of Geographic Information Science (GISc), describing how space is conceptualised and represented in a GIS.

16:00
Module 1: Foundations in Statistics (Series 1) (4 of 4) Finished 16:00 - 18:00 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 methods skills that are relevant across the social sciences.

This foundational course is for eligible graduate students who have no prior training in statistics.

It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:

  • Session 1: Variables and Measurement
  • Session 2: Describing a Variable
  • Session 3: Populations and Samples
  • Session 4: Statistical Models and Significance Tests

Wednesday 2 November 2011

14:00
Module 1: Foundations in Statistics (Series 2) (4 of 4) Finished 14:00 - 16:00 Titan Teaching Room 1, New Museums Site

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.

This foundational course is for eligible graduate students who have no prior training in statistics.

It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:

  • Session 1: Variables and Measurement
  • Session 2: Describing a Variable
  • Session 3: Populations and Samples
  • Session 4: Statistical Models and Significance Tests
Module 1: Foundations in Statistics (Series 3) (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 methods skills that are relevant across the social sciences.

This foundational course is for eligible graduate students who have no prior training in statistics.

It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:

  • Session 1: Variables and Measurement
  • Session 2: Describing a Variable
  • Session 3: Populations and Samples
  • Session 4: Statistical Models and Significance Tests
16:00
Module 5: Further Regression Topics (4 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

This module is concerned with greater knowledge of regression, through extension of the simple linear model; enabling students to assess the models they use, testing for problems such as collinearity, outliers/leverage, and heteroskdasticity.

Thursday 3 November 2011

10:00
Module 18: Researching Organisations (1 of 3) Finished 10:00 - 12:00 8 Mill Lane Lecture Room 4

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

14:00
Module 16: Comparative Historical Methods (4 of 4) Finished 14:00 - 15:30 8 Mill Lane, Lecture Room 1

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

Tuesday 8 November 2011

14:00
Module 6: Spatial Data Analysis (5 of 8) Finished 14:00 - 16:00 Geography Dept

Introducing students to methods of data analysis that are relevant to spatial data. Discussing nature of Geographic Information Science (GISc), describing how space is conceptualised and represented in a GIS.

16:00
Module 2: SPSS and Descriptive Statistics (Series 1) (1 of 4) Finished 16:00 - 18:00 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 methods skills that are relevant across the social sciences.

This module is essential for the statistical methods modules, which follow.

Wednesday 9 November 2011

14:00
Module 2: SPSS and Descriptive Statistics (Series 3) (1 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 methods skills that are relevant across the social sciences.

This module is essential for the statistical methods modules, which follow.

Module 2: SPSS and Descriptive Statistics for Judge Students (1 of 4) Finished 14:00 - 17:00 Judge Business School, Computer 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.

This module is essential for the statistical methods modules.

Module 2: SPSS and Descriptive Statistics (Series 2) (1 of 4) Finished 14:00 - 16:00 Titan Teaching Room 1, New Museums Site

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.

This module is essential for the statistical methods modules, which follow.

Module 12: Designing Surveys (1 of 4) Finished 14:00 - 15:30 8 Mill Lane, Lecture Room 1

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.

This module aims to provide students with an overview of survey methods, uses and limitations; to introduce students to the practicalities of design and use of surveys; to examine complexities of question and answer process; to examine practicalities of survey sampling and response.

16:00
Module 7: Regression and binary and categorical outcomes (1 of 4) Finished 16:00 - 18:00 Titan Teaching Room 2

Module is designed to teach students how to analyse different types of data using SPSS; including outputs, conducting diagnostic tests, calculating effect sizes and make predictions.

Thursday 10 November 2011

09:00
Reading Instructions: A Course for Students new (1 of 2) Finished 09:00 - 16:00 Hughes Hall: Pavilion Room

A fools guide to reading instructions for students who struggle with this key skill.

09:30
Advanced Ballroom Dancing Finished 09:30 - 17:00 Peterhouse: Lubbock Room


Would you like to be able to dance like they do on 'Strictly'? If so then this is the course for you!

General Introduction to Bioinformatics new (1 of 4) Finished 09:30 - 12:30 Department of Chemistry, Todd Hamied

Good stuff by DPJ

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10:00
Module 18: Researching Organisations (2 of 3) Finished 10:00 - 12:00 8 Mill Lane Lecture Room 4

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

13:30
General Introduction to Bioinformatics new (2 of 4) Finished 13:30 - 17:30 Department of Chemistry, Todd Hamied

Good stuff by DPJ

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14:00
Module 17 Conversation and Discourse Analaysis (1 of 4) Finished 14:00 - 15:30 8 Mill Lane, Lecture Room 1

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

Friday 11 November 2011

09:00
Reading Instructions: A Course for Students new (2 of 2) Finished 09:00 - 16:00 Hughes Hall: Pavilion Room

A fools guide to reading instructions for students who struggle with this key skill.

09:30
General Introduction to Bioinformatics new (3 of 4) Finished 09:30 - 12:30 Department of Chemistry, Todd Hamied

Good stuff by DPJ

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  • ccc
13:30
General Introduction to Bioinformatics new (4 of 4) Finished 13:30 - 17:30 Department of Chemistry, Todd Hamied

Good stuff by DPJ

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