The Plymouth student scientist

Typically a student will do a research project in the final year of degree in mathematics. This will involve research into a topic, a presentation and writing a report on the research. The very best reports are published in a journal such as the Plymouth Student Scientist.

This year two students have had their work published:

A Comparison of Exact and Heuristic Algorithms to Solve the Travelling Salesman Problem, Matthew Chatting

Algebraic Number Theory and Fermat’s Last, Edward Evans

Year 10 taster days

There are two Year 10 taster days running on Monday 17th and Tuesday 18th December.

The aim of the days are to encourage the students to consider mathematics at A level, which, while vital for a maths degree, is also useful for students to have for all STEM disciplines.

There are about 500 students and 50 teachers from 25 schools across Devon and Cornwall signed up over the two days. The days are organized by Dr Jenny Sharp.     Further information about mathematical activities for school students, which are run through out the year,  can be found here.

Some of the activities at the taster days are:

  • The Creation of Number
  • Boat Building
  • Solving the Josephus Problem
  • How seeing patterns can help you solve some problems
  • Breaking the Cipher
  • Guesstimation
  • Games and Probability
  • Experimental Design

Trip to OR career day in Birmingam

On Tuesday 27 November 2018, the majority of the second year undergraduate students in mathematics at University of Plymouth visited the Operational Research  career open day in Birmingham.   

The career day was organized by the Operational Research Society. Operational research is the area of mathematics, which helps businesses make decisions and how to efficiently organize their work. Hence OR is an important sector, which employs a lot of mathematics graduates.

The events at the open day were:

  • Listen to talks on OR with interesting case studies.
  • Find out how to apply for an OR, analytics, or data science roles.
  • Meet employers and see how areas like artificial intelligence, machine learning and big data could be part of your new job. 
  • Hear graduates’ experiences of working in OR and analytics.