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PHYS51715: Software Development Project

It is possible that changes to modules or programmes might need to be made during the academic year, in response to the impact of Covid-19 and/or any further changes in public health advice.

Type Tied
Level 5
Credits 15
Availability Available in 2023/24
Module Cap None.
Location Durham
Department Physics

Prerequisites

Corequisites

  • COMP52130 and MATH51930

Excluded Combinations of Modules

  • PHYS51545 and PHYS51645

Aims

  • Critical understanding of the paradigms, fundamental ideas, the calculational methods and the computer experimental underpinnings of modern theoretical particle physics through on characteristic use case.
  • Ability in applying the theory and practice of computational and data analysis methods to selected computational challenges.
  • Overview over computational and data research challenges in modern, computer-driven particle theory.

Content

  • Introductory lectures/workshops tied to project scope
  • Program development and analysis for one chosen challenge
  • Virtual experimentation and data analysis
  • Reporting on research insight

Learning Outcomes

Subject-specific Knowledge:

  • Knowledge in the area of the chosen project.
  • Understanding of the interplay of project topic with methodological challenges.

Subject-specific Skills:

  • Specialised and highly advanced calculational, computational and data analysis skills in the areas studied
  • Solving complex, novel and specialised problems, draw conclusions and deploy physical intuition, with minimal guidance

Key Skills:

  • Problem solving, written presentation of an argument
  • Software/tool development
  • Ability to learn actively and reflectively, to develop intuition, and theability to tackle unfamiliar and complex new material
  • Self-organisation, self-discipline and self-knowledge
  • Responsible research

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Project topics will be chosen from all MISCADA subject specialisations.
  • Students will attend a kick off workshop where they are presented potential projects.
  • Students will indicate their project preferences. Students will be assigned a team project. The organisers will try to take the student's preferences into account.
  • Students will attend lectures from the specialisation areas in agreement with their supervisor if these lectures support their project. These lectures are not assessed.
  • Student teams will independently realise the project.
  • Student teams will report on their project and give a project presentation.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Introduction Workshop160 minutes1 
Weekly project meetings81 per week60 minutes8 
Submodules from specialisation (in agreement with supervisor; not assessed) 
Presentation of project outcomes1120 minutes2 
Self-study139 

Summative Assessment

Component: CourseworkComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
Presentation15 min34 
Report66 

Formative Assessment

Through regular meetings with project supervisors

More information

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