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COSHH Training - Expression of interest

Safety, Health & Environment |

Training

 Keywords:  COSHH, Health and Safety, SHE.
More details
By registering your interest for this course you will be added to a waiting list and informed once a course is scheduled. This training session is provided for staff and post graduate researchers that use, handle, transport, purchase, store or dispose of hazardous substances. The training focuses on: legislation routes of entry and effects on the body safe systems of work risk assessment and control measures responsibilities under DSEA Regulations risk assessment and zoning
Register Interest

Risk Assessment Training - Expression of interest

Safety, Health & Environment |

Training

 Keywords:  Health and Safety, Risk Assessment, SHE.
More details
By registering your interest for this course you will be added to a waiting list and informed once a course is scheduled. This training session is aimed at staff who undertake risk assessments for activities where the health and safety of staff, students or others may be adversely affected. The session provides an overview of the relevant legislation and explains the principles of hazard and risk identification and control. There is an opportunity to practice undertaking a risk assessment. On completion, participants will then be able to put safe systems of work in place and drive the risk assessment process forward. This session usually takes three hours to deliver.
Register Interest

Manual Handling Training - Expression of interest

Safety, Health & Environment |

Training

More details
By registering your interest for this course you will be added to a waiting list and informed once a course is scheduled. This training session is aimed at staff who undertake manual handling tasks as part of their normal work activity. The training focuses on the University's legal requirements, their practical application and demonstration of lifting techniques. Attendees will be expected to partake in the practical aspect.
Register Interest

Academic Skills Drop-In

Academic Achievement |

Academic Skills

Date: Mon, 21 Jul 2025
Time: 10:00 AM - 1:00 PM
Location: Student Life Building - The Hub, Upper Ground Floor
Format: Drop-in
More details
Academic Skills drop-ins are great for asking questions about things like understanding assignment briefs and questions, planning assignment answers, looking at assignment drafts, and writing with academic style. So, come along at any time during the drop-in and bring your questions.

First steps in Python

Academic Achievement |

Maths and Statistics

 Remaining Places:  16
Date: Tue, 22 Jul 2025
Time: 10:00 AM - 4:00 PM
Location: John Foster Building - IT Suite C
Format: Class
More details

Python is currently one of the most popular programming languages, and is used in many different fields, such as physics and engineering, data science, and web development. This full day session is an introduction to Python. The workshop will make use of Jupyter notebooks as a development and presentation environment, although you are welcome to use other Python development environments if you prefer.

Content will include:

  • The use of Jupyter notebooks
  • Python syntax and data structures
  • Branching, looping, and creating functions
  • String formatting
  • File input and output
  • The Python standard library

The day will run from 10am to 4pm with morning and afternoon breaks, and an hour for lunch.

Further information will be posted on the Maths & Statistics Canvas module before the class.
Book

Continuous Monitoring and Enhancement (CME) for Programme and Module Leaders of Collaborative Programmes – User Workshop

Academic Registry |

Training

 Remaining Places:  25
 Keywords:  Academic Staff.
Date: Tue, 22 Jul 2025
Time: 10:00 AM - 11:30 AM
Location: Online
Format: Workshop
More details
Briefing for programme and module leaders If you have any queries about this session please contact Lucy McKenzie

Academic Skills Drop-In

Academic Achievement |

Academic Skills

Date: Tue, 22 Jul 2025
Time: 10:00 AM - 1:00 PM
Location: Student Life Building - The Hub, Upper Ground Floor
Format: Drop-in
More details
Academic Skills drop-ins are great for asking questions about things like understanding assignment briefs and questions, planning assignment answers, looking at assignment drafts, and writing with academic style. So, come along at any time during the drop-in and bring your questions.

Maths/Stats/Data analysis drop-in

Academic Achievement |

Maths and Statistics

Date: Wed, 23 Jul 2025
Time: 10:00 AM - 1:00 PM
Location: Avril Robarts Library - Skills Area 2
Format: Drop-in
More details

Drop by and ask our Maths & Stats tutors for advice on topics in mathematics, statistics, or data analysis — quantitative or qualitative — including use of software, e.g. Excel, R, SPSS, NVivo, Matlab, Python,... Just remember to bring your maths, statistics, or data analysis query with you, as well as any relevant course materials or data.

You may also like to enrol on the Maths & Statistics Canvas NCSKI02 module to find resources and recordings of classes.

Next Steps in Python

Academic Achievement |

Maths and Statistics

 Remaining Places:  22
Date: Thu, 24 Jul 2025
Time: 10:00 AM - 4:00 PM
Location: John Foster Building - IT Suite C
Format: Class
More details

Python has an extensive range of libraries available. This workshop will look at some of the libraries which are most used in scientific work.

Content will include:

  • Numerical computing with Numpy
  • Visualising data with Matplotlib
  • Data handling with Pandas

The day will run from 10am to 4pm with morning and afternoon breaks, and an hour for lunch.

Further information will be posted on the Maths & Statistics Canvas module before the class.
Book

Maths/Stats/Data analysis drop-in

Academic Achievement |

Maths and Statistics

Date: Fri, 25 Jul 2025
Time: 10:00 AM - 1:00 PM
Location: Student Life Building - The Hub, Upper Ground Floor
Format: Drop-in
More details

Drop by and ask our Maths & Stats tutors for advice on topics in mathematics, statistics, or data analysis — quantitative or qualitative — including use of software, e.g. Excel, R, SPSS, NVivo, Matlab, Python,... Just remember to bring your maths, statistics, or data analysis query with you, as well as any relevant course materials or data.

You may also like to enrol on the Maths & Statistics Canvas NCSKI02 module to find resources and recordings of classes.

Supporting learning with Canvas Quizzes

Teaching and Learning Academy |

Academic Practice Development

Date: Mon, 28 Jul 2025
Time: 10:00 AM - 10:00 AM
Location: Online
Format: Class
More details
Canvas quizzes are an important component for supporting a high quality active blended learning experience for students. Quizzes are a helpful accompaniment to course materials to test knowledge, support engagement and check students are keeping on track with their studies. This session will cover the basics of how to create a quiz, pedagogic approaches with respect to sharing and delivering them to students and how to incorporate quizzes into effective Canvas course management.
Book

Postgraduate Dissertation Question Time

Academic Achievement |

Academic Skills

Date: Mon, 28 Jul 2025
Time: 5:00 PM - 6:30 PM
Location: Online
Format: Class
More details
Join us for this online chat if you have questions about completing your dissertation.
Book

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