Computer lab from Library Carpentry Durham 2019

Resources

The following page contains video training, seminars, lectures, events, and materials designed to help you to get the most out of your data.

Recorded Training

The following videos are from our YouTube channel, and are categorised by theme and by course.

All of our training can be used by all resources, but some include examples particular to one of our research themes. Have a look at our specialised training:

Bede
Digital Health
Digital Humanities
Machine Learning

Bede

IBM HPC training for Bede

Total time: 1:44:32
Part 1
Hardware and Software
00:53:57


Part 2
GPU Programming
00:32:12


Part 3
Application Porting and Tuning
00:18:23

IBM AI training for Bede

Total time: 1:51:21
Part 1
Running AI Workloads on IBM Power Systems
00:46:28


Part 2
WML-CE & Open CE
00:43:58


Part 3
Large Model Support
00:20:55

Python

Intermediate Python

Total time: 3:03:08
Part 1
Uploading and Preparing Text
00:46:49


Part 2
Plotting and Visualising Your Text
00:46:17


Part 3
Understanding Images
00:50:44


Part 4
Analysing Images
00:39:18

Python for the Humanities

Total time: 2:43:36


Part 1
Introducing Python
00:37:49


Part 2
Useful Python Functions
00:48:48


Part 3
Preparing your text
00:31:40


Part 4
Creating dictionaries and plotting your data
00:45:19

Web Scraping with Python

Total time: 00:59:39


Introduction to Python
Zhongtian Sun, Durham University 00:14:23


Scraping data from Twitter
Tahir Aduragba, Durham University 00:21:51


Topic modelling and Gensim
Jialin Yu, Durham University 00:23:25


Twitter analytics for health data research
00:58:28

R

R for Text Analysis

Total time: 2:09:00
Understanding R and R Studio
1:03:00


Making plots and word clouds
1:06:00
Reproducible analysis in R

Total time: 1:50:27
Part 1
Introduction and Overview
00:08:46


Part 2
Introduction to R and R Studio
00:19:54


Part 3
Adding data and basic calculations
00:09:11


Part 4
Basic Plotting with ggplot
00:12:22


Part 5
Using and Understanding the manual
00:11:47


Part 6
Importing, tidying and working with data
00:40:13


Part 7
Course summary
00:02:14


Preparing Your Corpus and Making Plots in R and R Studio
1:06:48

Data
Managing sensitive research data at the University of Bristol: from planning to publication
0:18:23
Cryo EM

Total time: 1:15:00
Tuning Characteristics for Cryo EM
00:13:49


Cryo EM, Genomics and other Life Sciences Workloads on Bede
00:37:56


Cryo EM Workflows on Bede
00:37:56

Other

Computer vision for the humanities

Total time: 2:18:39
Part 1
00:57:50


Part 2
00:43:30


Part 3
00:37:19

Ethics in computational research

Total time: 3:48:21
Part 1
Introduction to Ethics
1:32:24


Part 2
NHS and social care data
00:44:57


Part 3
Practical applications of NHS and social care data
1:44:39

GlueViz

Total time: 1:49:09
Part 1
00:57:47


Part 2
00:51:22

Machine Learning for Humanists

Total time: 5:31:39
Part 1
Basic Concepts of Machine Learning
1:32:24


Part 2
Topic modelling
1:35:04


Part 3
Deep learning: Text generation
1:23:42


Part 4
Deep Learning: Word Vectors
1:32:31

Vizualisation with Paraview

Total time: 1:15:50
Part 1
00:30:36


Part 2
00:45:14

Digital Health

Total time: 1:28:16
Clinical Code Set Selection in Primary Care Data
00:37:56


Analysing the 100,000+ accelerometer datasets in the UK Biobank
00:50:20


Ethics and deposit/sharing - Making them work together
00:17:50


Accelerating CASTEP Without Breaking - Is Perfectly Portable Performance Possible?
00:16:31


Newcastle RSE Team and CarpenPi
00:10:41


Mobile development projects in the Humanities
00:16:56

Lectures and Seminars

Bede Introductory Event
Bede introductory event
00:15:34


Covid Simulations on Bede
00:17:55


Incompressible SPH on Multiple GPUs
00:11:03


Agent Based Simulations Using FLAME GPU 2
00:13:48


Turbulent Flows with GASCANS (GPU-LBM)
00:13:48


Peano/ExaHyPE
00:13:48


Extending the reach of the UK BioBank data into the mitochondrial genome
00:38:52


Down and out in the magic kingdom
00:12:33


HPC: Why do so few people care?
00:07:13


The future of FAIR
00:41:50

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