����ɫ��

 Up to 48 hours

 September, 2024 to December-2024

(2 x 1 hour lectures; 1 hour lab for the semester)

See timetabled lectures for ICE-2702

Basics of Applied Data Science

Basics of Python relevant for Data Science e.g. NumPy, Pandas, Matplotlib and Seaborn visualisation

First session 02.10.25  See timetabled lectures for OSX-3018.  

����ɫ�� teaching weeks 11-16 (weeks commencing 24.11.25 - 26.01.26).  The sessions will be in person and online.

See timetabled lectures for ENS-4307

The module equips students with the fundamental ecological knowledge necessary to design, execute and evaluate restoration projects.
The preliminary syllabus is divided into three thematic blocks covering ten topics:

Block I: Conceptual basis and ecological theory
1.    Introduction to ecological restoration
2.    Setting objectives and evaluating success in restoration projects
3.    Ecological basis of restoration

Block II: Restoration in tree-dominated ecosystems
4. Restoration of woodlands in Britain
5. Reforestation in (semi-)arid environments
6. Restoration in burnt areas
7. Restoration in tropical environments

Block III: Restoration in non-forested and man-made systems
8. Restoration of lakes, wetlands, rivers and riverbanks
9. Restoration in civic works and infrastructures
10. Natives, aliens, invasive species and “science-fiction” in restoration

����ɫ�� teaching weeks 5-11 (weeks starting 29.09.25 - 10.11.25).

See timetabled lectures for ENS-4303

Contact Prof. John Healey for further information

This module addresses the world’s forests and woodlands, focussing on their role as resources (biodiversity and ecosystem services) and the ecological knowledge (related to dynamics and resilience) required for assessment, conservation, sustainable forest management and policy development.

You will use a diverse range of learning approaches, with an emphasis on “learning by doing” in field practicals (for students in ����ɫ��), analysis and interpretation of the data you collect, and group literature research, presentation and discussion. Each topic will start with an introductory lecture, then class groups will research its key questions in preparation for a follow-up seminar.

This module gives you a key insight into the contribution of forest management, degradation and global deforestation to the climate and biodiversity crises.

Through this module you will be able to: (i) plan, carry out and analyse ecological assessment of forests/woodlands, their biodiversity and resilience; (ii) research, critically evaluate, present and discuss key questions in forest ecology, conservation, ecosystem services.

The world of Data Protection, Personally Identifiable Information and Research Data Management is an intricate and involved one. To make matters worse, governments and enforcement bodies are almost constantly moving the goal posts. As a large amount of the research and student projects that occur within the College are based on social science aspects, questionnaires and other data collection, the College Ethics Committee are arranging this session to help all researchers identify the portions that apply to their work making construction of Ethics Clearance applications easier for all.

During this session we will cover:
* What is Personal Information?
* Anonymity, Pseudonymity, Anonymisation and Pitfalls [in the session it would be good to outline confidential vs anonymous, including when collecting anonymous data in person (eg collecting questionnaire data face-to-face)]
* How do Data Protection Laws Apply?
* Design Approaches to Minimise Issues with Studies
* Data Sovereignty, Management and Retention
* Researcher and Supervisor Responsibilities

While the session is scheduled for 90 minutes, the presentation will not take nearly that long. The extra time is included to allow all participants to have enough time to ask questions, which are usually beneficial to all.

The module has a mixture of lectures and practical GIS classes. Most weeks will have one lecture and one practical computer class, but some weeks have drop-in sessions only, to allow questions to be answered and problems to be worked through.

See timetabled lectures for ENS-2001.  

The aim of this training is to introduce beginners to bash, Supercomputing Wales, Illumina sequence data, some basic population genomics analyses and visualisation in R. Our draft schedule is:

Day 1 - Introduction to bash

Day 2 - Introduction to SCWales and slurm

Day 3 - Illumina data, read trimming, merging, mapping and filtering

Day 4 - ANGSD, calculating covariance matrices, distance matrices, genome wide heterozygosity

Day 5 - Introduction to R and R markdown, PCA, Manhattan plots, NJ phylogenetic analysis

You can the course lecture material here (use left/right arrow keys to advance slides): . And the course worksheet here:  

Sessions will run in person and this year we are also providing hybrid online delivery. In general we believe the best learning experience is provided by attending the in-person sessions, so this should be considered preferable.

The course is aimed at MSc/starting PhD level, but we have also had postdocs and PIs attending and benefiting from the sessions. We are also happy for people to drop in/out of individual sessions to suit their requirements

Semester 2 – dates and venue to be confirmed.  See timetabled lectures for DXX-3115.  

Semester 2 – dates and venue to be confirmed.  See timetabled lectures for DXX-3707.  

Course title

 Genetics and the Conservation of Small Populations

Duration

 Spring semester (S2)

Staff member

 Aaron Comeault

Time/Date/Venue/Module code

 ENS-4404

Description

This module provides training in the field of conservation genetics, as it is applied at the forefront of current conservation efforts. As such, you will gain theoretical and practical experience in deploying and interpreting genetic data and analyses in conservation. Core concepts that you will be encouraged to critically engage with will include understanding when the use of genetic approaches in conservation are appropriate and what trade-offs exist between genetic and ‘non-genetic’ approaches to conservation? Additional core questions we will address include how do evolutionary processes differ between small and large populations? And, how are genetic tools used to inform in-situ conservation management, ex-situ conservation programmes, and biodiversity monitoring schemes? Upon completion of this module, you will have gained the tools necessary to develop and apply comprehensive conservation genetics approaches to real-world problems in conservation.

Number of places

 5

Other information/Contact

 To register please contact Aaron Comeault

Semester 2 module.

See timetabled lectures for ENS-4406