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University of Cambridge Training

All-provider course timetable

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Mon 14 Sep 2020 – Sun 18 Oct 2020

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Monday 14 September 2020

10:00
Gardening for Beginners new charged (2 of 2) Finished 10:00 - 12:00 Balfour Macintosh Room

Beginners Gardening - how to garden

Thursday 17 September 2020

09:15
Computing for dummies new Finished 09:15 - 12:15 Phoenix Teaching Room

Basic computing skills for beginners

Sunday 20 September 2020

09:30
Cisco CCNA for IT Supporters: Module 1 - Network Fundamentals new charged (10 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

Sunday 27 September 2020

09:30
Cisco CCNA for IT Supporters: Module 1 - Network Fundamentals new charged (11 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

Wednesday 30 September 2020

09:30
Grooming new charged (1 of 2) Finished 09:30 - 16:30 Balfour Macintosh Room

grooming

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

« Description not available »

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

« Description not available »

Sunday 4 October 2020

09:30
Cisco CCNA for IT Supporters: Module 1 - Network Fundamentals new charged (12 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

10:30
Excel 2007 for Beginners (Self-paced) (1 of 3) Finished 10:30 - 12:30 Titan Teaching Room 2

This self-paced hands-on course gives an introduction to spreadsheets, databases and charting using Excel 2007. There is emphasis on short cuts and other efficient ways of working.

Monday 5 October 2020

10:30
Excel 2007 for Beginners (Self-paced) (2 of 3) Finished 10:30 - 12:30 Titan Teaching Room 2

This self-paced hands-on course gives an introduction to spreadsheets, databases and charting using Excel 2007. There is emphasis on short cuts and other efficient ways of working.

Tuesday 6 October 2020

10:30
Excel 2007 for Beginners (Self-paced) (3 of 3) Finished 10:30 - 12:30 Titan Teaching Room 2

This self-paced hands-on course gives an introduction to spreadsheets, databases and charting using Excel 2007. There is emphasis on short cuts and other efficient ways of working.

16:00
Introduction to the JSSS Programme Finished 16:00 - 17:00 New Museums Site, Babbage Lecture Theatre

« Description not available »

Wednesday 7 October 2020

09:30
Grooming new charged (2 of 2) Finished 09:30 - 16:30 Balfour Macintosh Room

grooming

Sunday 11 October 2020

09:30
Cisco CCNA for IT Supporters: Module 1 - Network Fundamentals new charged (13 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 15: Foundations of Qualitative Methods: Introduction and Overview (1 of 2) 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

Module 6: Spatial Data Analysis (1 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) (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 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 12 October 2020

14:00
Module 1: Foundations in 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 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) (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 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 (1 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 13 October 2020

14:00
Module 16: Comparative Historical Methods (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

Sunday 18 October 2020

09:30
Cisco CCNA for IT Supporters: Module 1 - Network Fundamentals new charged (14 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 15: Foundations of Qualitative Methods: Introduction and Overview (2 of 2) 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

Module 6: Spatial Data Analysis (2 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) (2 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

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