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Adobe Photoshop CC: Introduction (Level 1) Thu 21 May 2020   09:30 CANCELLED

Adobe Photoshop CC is the latest version of the favourite image manipulation and editing tool of the professional graphics industry and photographers. It enables digital and scanned-in photographs, pictures and graphics files to be edited and offers a dazzling array of drawing, special effects and filtering tools. Knowing where to start with such a comprehensive and feature-filled package can be daunting. This presentation aims to equip new users with the basics, using live demonstrations throughout.

Please note: This course requires that you use your CRSid and Raven password to log into Adobe Creative Cloud. If you currently log in to use Microsoft Office, then the same login details are used, and you do not need to do anything except to know your Raven password.

Otherwise, if you do not know your password, or have not changed your Raven password in the last three years, you must do so before attending the course, please go here: https://password.csx.cam.ac.uk/ you can set the same password.

Please arrive to START THE COURSE PROMPTLY in order to set up the Adobe environment, if you don’t then you may find it more difficult to follow the instructor.

ATLAS.ti Cloud: Quick Tour (Online) new Self-taught Booking not required

This is a course created by the professional academic trainers at ATLAS.ti and selected for curation by UIS training staff.

The course can be accessed here

ATLAS.ti Macintosh: Quick Tour (Online) new Self-taught Booking not required

This is a course created by the professional academic trainers at ATLAS.ti and selected for curation by UIS training staff.

The course can be accessed here

ATLAS.ti Windows: Quick Tour (Online) new Self-taught Booking not required

This is a course created by the professional academic trainers at ATLAS.ti and selected for curation by UIS training staff.

The course can be accessed here

ATLAS.ti: An Introduction for Qualitative Research Wed 19 Feb 2020   09:30 Finished

This course will introduce ATLAS.ti a Computer Aided Qualitative Data Analysis Software (CAQDAS) which supports qualitative and mixed methods research. It provides a means to collect, organise and analyse content from interviews, focus group discussions, surveys and audio.

ATLAS.ti: Free Webinars (Online) new Self-taught Booking not required

These are a series of webinars run by the professional academic trainers at ATLAS.ti and selected for curation by UIS training staff.

You can register for the webinars here

C++: Programming in Modern C++ Wed 4 Jan 2017   09:30 Finished

This is an introduction to programming in modern C++, based on the book "'Programming: Principles and Practice using C++"' (2nd ed.) by Bjarne Stroustrup. The aim is to teach participants how to write non trivial, practical programs that are comprehensible and portable. Participants should also be able to understand and modify most well-written C++ applications, though not necessarily every aspect of them.

C++ is a large and complicated language, which is reflected in the length of this course. The creator of C++, Prof. Stroustrup, estimates that newcomers to programming will have to devote in excess of 200 hours' of work to learn how to program in C++ properly. Please bear that in mind if signing up for the course. It would also be of help (though not essential) if attendees have some prior programming experience in another language, e.g. Python.

An introduction to using the bibliography program EndNote to store references and notes and use them to achieve correct referencing in your documents without re-typing. This course covers both EndNote Desktop and the free, browser based, "lite" version, EndNote Online.

Using EndNote will enable you to keep a note of references as you research online so that you will always be able to document your sources correctly. It can save you time as you should never need to retype references and you can alter their layout with a couple of mouse-clicks.

Endnote: Train The Trainer new Wed 14 Dec 2016   10:00 Finished

The course is a train the trainer session including an introduction to EndNote 8, plus an opportunity to discuss supporting EndNote in a Research University environment, use of EndNote for Systematic Reviews and Q&A session.

Excel 2016: Analysing and Summarising Data Thu 14 May 2020   09:30 CANCELLED

This hands-on course is a follow on from the Excel: Introduction course.

Excel 2016: Managing Data & Lists Tue 12 May 2020   09:30 CANCELLED
LaTeX: Introduction to Text Processing Tue 28 Apr 2020   10:00 CANCELLED

LaTeX is a powerful document description language built on top of TeX. It is available on Unix, Windows and Macintoshes. It can be used for the presentation of plain text (including accented characters and letters outside the English alphabet), the typesetting of mathematics, the generation of tables, and producing simple diagrams. It is particularly suited for the writing of theses, papers and technical documents.

LiL: ArcGIS Pro 2.4: Essential Training (Online) new Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: ArcGIS: Python Scripting (Online) new Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: AutoCAD 2020 Mac: Essential Training (Online) new Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: AutoCAD 2021: Essential Training (Online) new Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: AutoCAD 2021: Introduction (Online) new Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Analytics: Learning (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Curation Foundations (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Management: Document Retention (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Science Foundations: Data Mining (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Science Foundations: Fundamentals (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Science: Ask Good Questions (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Science: Manage Your Team (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Science: Using Agile Methodology (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Visualization for Data Analysts (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Visualization: Best Practices (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Visualization: Design (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Visualization: Learning (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Visualization: Storytelling (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Data Visualization: Tips and Tricks (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Design Research: Introduction (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Endnote: Essential Training (Online) new Self-taught Booking not required

This is a LinkedIn Learning course for those who wish to get started with Endnote and is provided by University of Cambridge's subscription to LinkedIn Learning.

This course can be acccessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Excel: Data Analysis (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Excel: Data Analysis: Forecasting (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Excel: Learning VBA (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Excel: Statistical Process Control (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: LabVIEW: Data Acquisition (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: LabVIEW: Introduction (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: MATLAB - Learning MATLAB (Online) new Self-taught Booking not required

A recommended LinkedIn Learning course, provided by the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: MATLAB 2018 Essential Training (Online) new Self-taught Booking not required

A recommended LinkedIn Learning course, provided by the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Online Searching Tips and Tricks (Online) new Self-taught Booking not required

This a curated course by the Digital Literacy Skills programme as part of the University of Cambridge's subscription to LinkedIn Learning.

This course can be acccessed here.

LiL: Python: Advanced (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Python for Students (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Python: Data Analysis (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Python: Data Ingestion (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Python: Data Visualization(Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Python: Statistics Essential Training (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Python: Use with Excel (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Quantitative Research: Foundations (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: R: Data Science: Lunchbreak Lessons (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: R: Excel Users (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: SPSS: Academic Research (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: SPSS: Statistics: Essential Training (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: SQL: Statistics: Essential Training (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Stata - Introduction (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Statistics Collection for Researchers (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Statistics: Everyday (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Statistics: Foundations: 1 (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Statistics: Foundations: 2 (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Statistics: Foundations: 3 (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: SurveyMonkey: Essential Training (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Tableau and R for Analytics Projects (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Text Processing: R Essential Training (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: UX Research: Agile Teams (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: UX Research: Foundations (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: UX Research: Methods: Card Sorting (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: UX Research: Methods: Going Guerrilla (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: UX Research: Methods: Interviewing (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: XML Essential Training new Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Create custom visualizations and automate your data analysis tasks.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Learn MATLAB for financial data analysis and modeling.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

MathWorks Academy: MATLAB Fundamentals (Online) new Self-taught Booking not required

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

This course provides a comprehensive introduction to common features and workflows in MATLAB.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

MathWorks Academy: MATLAB Onramp (Online) new Self-taught Booking not required

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

This course is an introductory tutorial on commonly used features and workflows.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

Get started quickly using deep learning methods to perform image recognition.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

Learn the basics of practical machine learning methods for classification problems.

This course can be accessed here.

MathWorks Academy: MATLAB Onramp Stateflow (Online) new Self-taught Booking not required

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

Learn the basics of creating, editing, and simulating state machines in Stateflow.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Improve the robustness, flexibility, and efficiency of your MATLAB code.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

MathWorks are running a series of regular live webinars, tailored to Professors, PhD students & Post-Docs.

Each Wednesday you will discover a technical topic where you can learn about the latest MATLAB capabilities for your research applications.

To register for the sessions click here

These technical sessions will be followed up on Tuesdays with a session covering online teaching, including ready-to-use resources. You will explore how to use MATLAB to increase student engagement in your course.

his is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

MathWorks Academy: MATLAB Simulink Onramp (Online) new Self-taught Booking not required

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

This is an introductory tutorial on commonly used features and workflows.

This course can be accessed here.

MathWorks Academy: MATLAB: Deep Learning (Online) new Self-taught Booking not required

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Learn the theory and practice of building deep neural networks with real-life image and sequence data.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Use matrix methods to solve systems of linear equations and perform eigenvalue decomposition.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Get started quickly with basic descriptive statistics and data fitting.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Get started quickly with an introduction to symbolic math.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

MathWorks Academy: MATLAB: Machine Learning (Online) new Self-taught Booking not required

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Explore data and build predictive models.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Use root finding methods to solve nonlinear equations.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Use MATLAB ODE solvers to numerically solve ordinary differential equations.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

Mendeley for Researchers: introduction (Online) new Self-taught Booking not required

This is a course created by Mendeley and selected for curation by UIS training staff.

The course can be accessed here

Mendeley is a free, open source reference management program. It was originally primarily intended as a way to manage collections of PDF documents and this is still its main strength in comparison with other tools such as EndNote and Zotero.

Mendeley can be used to insert reference citations and a bibliography of cited references into Word and Open Office documents and may be of interest to anyone wanting a free reference management program which will create BibTeX citation keys and paste them into a LaTeX document.

This is a basic introductory course and probably will not be very useful to those who are already using the program and who have specific queries about the way it works.

Users who need help with more advanced features can request individual help via the UIS service desk email: service-desk@uis.cam.ac.uk

MySQL: Implementing a Relational Database Design Thu 21 Nov 2019   14:00 Finished

This beginners course equips you with the skills to implement a relational database design entity relationship diagram (ERD) into a MySQL database. Please be prepared for a fast paced course, but the materials provided can be used for consolidation after the course.

NVIVO 11 Macintosh: Introduction (Online) new Self-taught Booking not required

This is a course created by the professional academic trainers at NVIVO and selected for curation by UIS training staff.

The course can be accessed here

This is a course created by the professional academic trainers at NVIVO and selected for curation by UIS training staff.

The course can be accessed here

NVivo: An Introduction for Qualitative Research Wed 20 May 2020   09:30 CANCELLED

This course will introduce NVivo a Computer Aided Qualitative Data Analysis Software (CAQDAS) which supports qualitative and mixed methods research. It provides a means to collect, organise and analyse content from interviews, focus group discussions, surveys and audio.

NVIVO: Free Webinars (Online) new Self-taught Booking not required

These are a series of free webinars run by the professional academic trainers at NVIVO and selected for curation by UIS training staff.

You can access the webinars here

This course provides an introduction to Photogrammetry, or the creation of three-dimensional (3D) models from two-dimensional (2D) data obtained from photographs, while introducing related 3D concepts and technologies. Along with basic 3D concepts (point clouds, meshes, file formats) there will be an overview and experience of creating and managing 3D images, which will provide a better understanding of the process of capturing 3D data from a variety of objects (from a stone to a city). Specialist software (e.g. Agisoft Metashape) will be introduced in order to build a 3D model from a series of photos, using a trial version of the product to produce and adjust your 3D model.

Exploring some of the competing methods of capturing 3D data in several fields, including 3D scanning and CT scanning, will be combined with an overview of preparing the results for use in research, in publications, and in VR/AR/XR projects. In addition, some useful sources of information and guidance will be provided, along with software and hardware tips and some of the key repositories used for sharing your models, or for making use of models made by others, or just for getting inspired. This course also will provide an opportunity to meet others who are already using or would like to use photogrammetry or other 3D technologies in their research or personal projects.

PowerPoint 2016: Further Use (Self-paced) Thu 2 Mar 2017   09:30 Finished
PowerPoint 2016: Introduction Tue 7 Mar 2017   09:30 Finished
  • This course gives a "quick start" introduction to Microsoft PowerPoint which is a widely used software application for preparing presentations

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).

Python 3: Advanced Topics (Self-paced) Wed 11 Mar 2020   09:30 Finished

This course is part of the Scientific Computing series and is suitable for people who have Python experience equivalent to either of the introductory courses: Introduction for Absolute Beginners or Introduction for Programmers

These sessions consist of a selection of self-paced mini-courses, each taking at most a half-day. Python expert(s) from the UCS will be present to answer questions or address difficulties with these. Attendees can select from the available topics to most closely meet their individual needs. Attendees are welcome to attend more than one session to work through multiple topics. If an attendee finishes a topic with time to spare they may select another, and so on.

Python 3: Introduction for Absolute Beginners Mon 11 May 2020   14:00 CANCELLED

This course is part of the Scientific Computing series.

This course is aimed at those new to programming and provides an introduction to programming using Python, focussing on scientific programming. This course is probably unsuitable for those with programming experience, even if it is just in shell scripting or Matlab-like programs. By the end of this course, attendees should be able to write simple Python programs and to understand more complex Python programs written by others.

As this course is part of the Scientific Computing series, the examples chosen are of most relevance to scientific programming.

Bookings for this course are placed on hold in response to the rapidly changing events due to COVID-19. The status of these courses will be reviewed towards the end of April 2020. See the University's COVID-19 page for up to date information.

This course is part of the Scientific Computing series.

This full-day course introduces the Python programming language to those who are already familiar with another high level programing language such as C/C++, Fortran, Java, Perl or Visual Basic. The aim of this course is to give such programmers sufficient familiarity with Python that they can attend any of the more advanced Python courses organised by the Computing service and easily follow any of the widely available Python tutorials on the more complex aspects of the language.

This course covers all the material contained in the "Programming: Python for Absolute Beginners" course, but in a more abbreviated fashion suitable for those who already have significant programming experience. This course does NOT cover the more complex aspects of the language (for such topics see the other Computing Service Python courses), nor is there much explicit discussion of the object oriented features of Python.

If you are an accomplished and experienced programmer you may find this course too slow, you may prefer to self-teach the course rather than attend in person, the full set of notes can be downloaded.

After some years of dominance by packages owned by the Thomson Reuters organisation, the number of options available for managing references and inserting formatted reference citations into documents has expanded considerably. This course aims to provide a basic over-view which will assist you to select one which is best suited to your scholarly interests and field of work.

Coverage of packages is not intended to be exhaustive but you should come away with a broad-brush idea of what reference management software can and can't do to assist your work and the strengths and weaknesses of some of the most common ones.

Unix: Building, Installing and Running Software Mon 2 Mar 2020   14:00 Finished

This course is part of the Scientific Computing series.

It is common for a student or researcher to find a piece of software or to have one thrust upon them by a supervisor which they must then build, install and use. It is a myth that any of this requires system privilege. This course demonstrates the building, installation and use of typical software ranging from trivially easy examples (the "configure, make, install" scheme) through to the evils of badly written Makefiles. Common errors and what they mean will be covered and by the end of the course the student should be able to manage their own software without needing to pester their system administrator.

Bookings for this course are placed on hold in response to the rapidly changing events due to COVID-19. The status of these courses will be reviewed towards the end of April 2020. See the University's COVID-19 page for up to date information.

The course is designed to take someone from having no knowledge of the Unix command line to being able to navigate around directories, and doing simple file manipulation. Then some of the more basic commands, will be introduced, including information on how to get more help from the system itself. Finally accessing remote computers by ssh and the most basic of shell scripts will be introduced.

Unix: Simple Shell Scripting for Scientists Tue 16 Jun 2020   14:00 CANCELLED

Bookings for this course are placed on hold in response to the rapidly changing events due to COVID-19. The status of these courses will be reviewed towards the end of April 2020. See the University's COVID-19 page for up to date information.

This course is part of the Scientific Computing series.

No previous experience of shell scripting is required for this course; however some knowledge of the interactive use of the bash shell is a prerequisite (see Simple Shell Scripting for Scientists: Prerequisites for details).

This course introduces shell scripting in bash for scientific computing tasks. Day one introduces very basic shell scripts in bash which process the command line in a simple fashion. Day two covers how to write more advanced shell scripts in bash. Day three covers how to make one's shell scripts more robust.

At the end of each day one or more exercises are set. It is VERY IMPORTANT that attendees attempt these exercises before the next day of the course. Attendees should make sure that they have allowed themselves sufficient study time for these exercises between each day of the course.

Web of Science: CPD Webinars (Online) new Self-taught Booking not required

These are free webinars to enable you to stay current with developments of the Web of Science abstract and citation database, created by the professional trainers at Web of Science and selected for curation by UIS training staff.

You can access the training here

Use your Raven password to access the Web of Science reference database

This course is mainly aimed at students writing their thesis. It is a task-focused version of the Word: Mastering Advanced Features which is aimed at staff creating reports. Please do not book yourself on both courses. It is designed to give a overview of the advanced features of Microsoft Word that are most relevant to producing dissertations, theses and other long documents.

This course is an introduction to reference management using the free, open-source program, Zotero. Zotero is a free plug-in for the Firefox web browser which allows you to collect and store references from online sources; add your own annotations and finally use your stored references to insert correct citations into a Word, Open Office, or LaTeX document.

LiL: Power Bi: Dashboard for Beginners (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Power BI: Project Online Reporting (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Power Bi: Service for Consumers (Online) Self-taught Booking not required

A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

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