skip to navigation skip to content

University of Cambridge Training

All-provider course timetable

Show:

Mon 19 Oct 2020 – Fri 30 Oct 2020

Now Today



Monday 19 October 2020

14:00
Module 1: Foundations in Statistics (Series 3) (2 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
Module 1: Foundations in Statistics (Series 2) (2 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
16:00
Course to test optional sessions and the wait list new (1 of 3) Finished 16:00 - 17:00 Test Provider Lecture Room

« Description not available »

Course to test optional sessions and the wait list new (1 of 3) Finished 16:00 - 17:00 Test Provider Lecture Room

« Description not available »

Module 5: Further Regression Topics (2 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.

Tuesday 20 October 2020

14:00
Module 16: Comparative Historical Methods (2 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

Wednesday 21 October 2020

10:00
Course to test optional sessions and the wait list new (2 of 3) Finished 10:00 - 11:00 Test Provider Lecture Room

« Description not available »

Course to test optional sessions and the wait list new (2 of 3) Finished 10:00 - 11:00 Test Provider Lecture Room

« Description not available »

Saturday 24 October 2020

10:00
Course to test optional sessions and the wait list new (3 of 3) Finished 10:00 - 11:00 Test Provider Lecture Room

« Description not available »

Course to test optional sessions and the wait list new (3 of 3) Finished 10:00 - 11:00 Test Provider Lecture Room

« Description not available »

Sunday 25 October 2020

09:30
Cisco CCNA for IT Supporters: Module 1 - Network Fundamentals new charged (15 of 15) Finished 09:30 - 13:00 Balfour Macintosh Room

The Cisco Certified Network Associate (CCNA) programme is open to University IT Supporters. It covers network technology, protocols and theory at deeper levels reflective of university practices. There is a fee to attend this course.

You will learn the basics of routing, switching, and advanced technologies to acquire the skills required to provide a robust and secure network in your institution and it prepares you for CCNA certification.

We offer this program as instructor led with remote access to the curriculum and an online networks laboratory called NETLAB. There is a mix of lecture, demonstrations and a heavy emphasis on practical activities using live lab equipment and a simulation package. Further details and pricing information are available.

This is the first module of four modules in CCNA.

1. Networking Fundamentals 2. LAN Switching and Wireless 3. Routing Protocols and Concepts 4. Accessing the WAN

14:00
Module 6: Spatial Data Analysis (3 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
Course to test optional sessions and the wait list new (1 of 3) Finished 16:00 - 17:00 Test Provider Lecture Room

« Description not available »

Course to test optional sessions and the wait list new (1 of 3) Finished 16:00 - 17:00 Test Provider Lecture Room

« Description not available »

Module 1: Foundations in Statistics (Series 1) (3 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

Monday 26 October 2020

14:00
Module 1: Foundations in Statistics (Series 3) (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 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 2) (3 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
16:00
Module 5: Further Regression Topics (3 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.

Tuesday 27 October 2020

10:00
Course to test optional sessions and the wait list new (2 of 3) Finished 10:00 - 11:00 Test Provider Lecture Room

« Description not available »

Course to test optional sessions and the wait list new (2 of 3) Finished 10:00 - 11:00 Test Provider Lecture Room

« Description not available »

14:00
Module 16: Comparative Historical Methods (3 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 30 October 2020

10:00
Course to test optional sessions and the wait list new (3 of 3) Finished 10:00 - 11:00 Test Provider Lecture Room

« Description not available »

Course to test optional sessions and the wait list new (3 of 3) Finished 10:00 - 11:00 Test Provider Lecture Room

« Description not available »

14:15
Programming Concepts: Introduction for Absolute Beginners (1 of 2) Finished 14:15 - 17:00 UIS Online Microsoft Teams 1

This course is part of the Scientific Computing series.

This course is aimed at those new to programming, or who have never been formally taught the principles and basic concepts of programming. It provides an introduction to the basic concepts common to most high level languages (including Python, Java, Fortran, C, C++, Visual Basic). The aim of the course is to equip attendees with the background knowledge and confidence necessary to tackle many on-line and printed programming tutorials. It may also help attendees in deciding which programming language is suitable for their programming task.

Knowledge of the concepts presented in this course is a pre-requisite for many of the other courses in the Scientific Computing series of courses (although not for the "Python for Absolute Beginners" course).

17:00
Test course for bookings new Finished 17:00 - 18:00 Test Provider Lecture Room

« Description not available »

Override user: