All-provider course timetable

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Email reference@cam.ac.uk to arrange a session. Tell us what you need help with and we’ll match you with a member of library staff who can show you what you need to know, whether it’s searching the catalogue, using Electronic Legal Deposit, finding open shelf books or something else entirely.

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• Nervous or intimidated about visiting the UL for the first time?
• Don’t know where to begin with a Literature search?
• Want to discuss your Personal Emergency Evacuation Plan?

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Email disability@cam.ac.uk to arrange a session. Tell us what you need help with and we’ll match you with a member of library staff who can show you what you need to know, whether it’s searching the catalogue, using Electronic Legal Deposit, finding open shelf books or something else entirely.

The AAT Level 3, Diploma in Accounting, introduces to students to more complex financial processes and accounting tasks, the principles of VAT, professional ethics and develops their spreadsheet skills.

These sessions are aimed at those who are brand new to HEAT (Higher Education Access Tracker) and who will want to be added to the live database as their institution’s Operational Lead or User. 

If you are only going to need Read Only or Read Only with Export permissions this training is not required.

A safety course for anyone either directly working with chemicals or who is responsible for persons working with chemicals including PIs, Post Grads, Post Docs and technicians.

This course aims to provide students with a range of specific technical skills that will enable them to undertake impact evaluation of policy. Too often policy is implemented but not fully evaluated. Without evaluation we cannot then tell what the short or longer term impact of a particular policy has been. On this course, students will learn the skills needed to evaluate particular policies and will have the opportunity to do some hands on data manipulation. A particular feature of this course is that it provides these skills in a real world context of policy evaluation. It also focuses primarily not on experimental evaluation (Random Control Trials) but rather quasi-experimental methodologies that can be used where an experiment is not desirable or feasible.

Topics:

• Regression-based techniques
• Evaluation framework and concepts
• The limitations of regression based approaches and RCTs
• Before/After, Difference in Difference (DID) methods
• Computer exercise on difference in difference methods
• Instrumental variables techniques
• Regression discontinuity design.

This compulsory course will equip you with the skills required to manage the research information you will need to gather throughout your graduate course, as well as the publications you will produce yourself. It will also help you enhance your online research profile and measure the impact of research.

A network event highlighting and supporting the vital work carried out by technicians.

There will be an introduction about the University's engagement with the Technician Commitment.

This will be followed by a breakfast with opportunities to network with technicians from different departments.

There will be presentations from technical staff and tours of the host department.

This laptop only course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environments. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.

There are three core goals for this course:

1. Use R or Python confidently for statistics and data analysis
2. Be able to analyse datasets using standard statistical techniques
3. Know which tests are and are not appropriate

Both R and Python are free software environments that are suitable for statistical and data analysis.

In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory

After the course you should feel confident to be able to select and implement common statistical techniques using R or Python and moreover know when, and when not, to apply these techniques.

Fire Warden training (1000-1130) will give clear instruction of the roles of designated fire wardens and assist fire safety managers to comply with current fire safety legislation. Use of Fire Extinguisher training (1145-1230) provides hands on experience in the correct use of portable fire extinguishers.

The course will outlay bioinformatic analysis of cell populations from single-cell RNA including visualisation, clustering and functional analysis of genes. This will be using the programming language R and packages such as Seurat. Participants are encouraged to bring their own laptop to follow along.

Lesson 1

• 4.00 - 4.45pm = Setting up
• 4.45 - 5.00pm = Break, questions
• 5.00 - 6.00pm = Introduction to scRNA-Seq

Lesson 2

• 1.00 - 1.45pm = QC, Normalising, Feature Selection
• 1.45 - 2.00pm = Break, questions
• 2.00 - 3.00pm = Scaling, Dimensionality reduction, Determining dimensionality of dataset

Lesson 3

• 1.00 - 1.45pm = Clustering, UMAP/t-SNE
• 1.45 - 2.00pm = Break, questions
• 2.00 - 3.00pm = Cluster biomarkers, Assigning cell type identity, Differential expression, Enrichment

Lesson 4

• 1.00 - 1.45pm = Work on dataset from Stanford/literature/own dataset
• 1.45 - 2.00pm = Break, questions
• 2.00 - 3.00pm = Work on dataset from Stanford/literature/own dataset