Teaching

In maths you will learn by methods such as:

  • lectures
  • tutorials with debates and discussions
  • workshops
  • computer assisted learning
  • practical classes during which you design, carry out and analyse experiments

We also teach the use of professional mathematical software packages in order to allow you to explore maths beyond the limits of traditional teaching. This also prepares you for the way in which mathematicians work across various industries.

For psychology, throughout Levels 1-4 you will engage in research, moving from assigned and specified activities or studies to more independent practical work.

Most modules at Levels 1 and 2 have two lectures and one tutorial or workshop each week, including online workshops.

At Level 3 you will have lectures each week and tutorials centring around coursework. At Level 4, teaching is in much smaller groups and our module options are based on the research expertise of our staff, and vary slightly from year to year.

In your final year a supervisor will oversee a dissertation project where you will apply your research skills.

Assessment

Assessments are carried out through coursework and exams, and vary in type and weighting from module to module. Methods of assessment include:

  • exams
  • continuous assessment
  • coursework
  • homework
  • computer assignments
  • class tests
  • projects
  • essays
  • posters
  • oral presentations
  • carrying out and reporting psychological experiments
  • scientific practical reports
  • online multiple-choice questions
  • workbooks

Core Modules

These modules are an essential part of your course.

Module code: MA11001 Credits: 20 Semester: Semester 1

Optional Modules

You need to choose one or more of these modules as part of your course.

Module code: MA12002 Credits: 20 Semester: Semester 1

Core Modules

These modules are an essential part of your course.

Module code: MA21001 Credits: 20 Semester: Semester 1

Optional Modules

You need to choose one or more of these modules as part of your course.

Module code: MA22004 Credits: 20 Semester: Semester 1

Core Modules

These modules are an essential part of your course.

Module code: MA31002 Credits: 15 Semester: Semester 1

Optional Modules

You need to choose one or more of these modules as part of your course.

Module code: MA32001 Credits: 15 Semester: Semester 1

This module examines analysis, which is an area of pure mathematics forming the foundation for other areas of maths. The concept of convergence is also covered, which forms part of the framework used by computers to solve complicated equations for mathematical models in physics, biology, and economics.

Optional Modules

You need to choose one or more of these modules as part of your course.

Module code: MA41003 Credits: 15 Semester: Semester 1

This module explores calculus, specifically to find derivatives of functions. Ordinary Differential Equations (ODEs) are equations involving derivative terms.

Very few ODEs can be solved exactly, so methods have been developed to find approximate solutions. In this module, you will learn the basic numerical methods for calculating these approximate solutions.

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