Postgraduate Programme and Module Handbook 2023-2024 (archived)
Module PHYS51715: Software Development Project
Department: Physics
PHYS51715:
Software Development Project
Type |
Tied |
Level |
5 |
Credits |
15 |
Availability |
Available in 2023/24 |
Module Cap |
None. |
Prerequisites
Corequisites
Excluded Combination of Modules
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
- Knowledge in the area of the chosen project.
- Understanding of the interplay of project topic with methodological challenges.
- 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
- Problem solving, written presentation of an argument
- Software/tool development
- Ability to learn actively and reflectively, to develop intuition, and the
ability 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
Activity |
Number |
Frequency |
Duration |
Total/Hours |
|
Introduction Workshop |
1 |
|
60 minutes |
1 |
|
Weekly project meetings |
8 |
1 per week |
60 minutes |
8 |
|
Submodules from specialisation (in agreement with supervisor; not assessed) |
|
|
|
|
|
Presentation of project outcomes |
1 |
|
120 minutes |
2 |
|
Self-study |
|
|
|
139 |
|
Summative Assessment
Component: Coursework |
Component Weighting: 100% |
Element |
Length / duration |
Element Weighting |
Resit Opportunity |
Presentation |
15 min |
34% |
|
Report |
|
66% |
|
Through regular meetings with project supervisors
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University