Introductory description

N/A.

Module web page

Module aims

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Part I: Group Project

1. Project teams of 10 students and 2 project supervisors (1 academic, 1 research software engineer).
2. Students will design, specify, implement and document a small-scale simulation package to solve a problem within the modelling of heterogeneous systems: examples include DFT, molecular dynamics or computational fluid dynamics.
3. Projects must meet all 3 key CDT challenges: Cross-disciplinarity, robust software design, uncertainty quantification.
4. Students will present and demonstrate their software to the CDT.
   Part II:
5. Software created in individual projects is distributed to students. Each student receives two distinct codes.
6. Students examine the compliance of the codes with research software engineering principles, with a particular focus on usability (e.g. by examining documentation), portability (e.g. by running on a different platform) and sustainability (e.g. by recapitulating parts of the code). Software authors and assessors are encouraged to engage with each other. ILO II.2.
7. Students run the codes with an ensemble of input values and study the variation of the results (sensitivity analysis). ILO II.1.
8. Students compare the outcome of this analysis with the error estimates provided by the software authors. ILO II.3.
9. Students provide critical feedback on the error estimates to the software authors in an error estimate assessment report (3 pages per software). ILO II.4.
10. Students present their feedback to the authors and the cohort in a brief presentation. Authors and other cohort members judge the quality of the feedback and award a peer mark.

Learning outcomes

By the end of the module, students should be able to:

• Part I: Group ProjectCreate a piece of research software implementing methods and using software design principles introduced in previous modules in the course, addressing a cross-discipline research computing challenge.
• Part I: Group ProjectPlan and manage the research software engineering project from the specification phase to a deliverable outcome, including documentation.
• Part I: Group ProjectAnalyse and validate research software results, both by using automated testing and manual comparisons.
• Part I: Group ProjectFormulate and quantify the uncertainty in the output of research software, thus giving an measure of the reliability of a computed quantity.
• Part I: Group ProjectDemonstrate effective communication and documentation skills, both within the group and for the benefit of a future software user.
• Part I: Group ProjectDemonstrate the ability to work as a member of a team to achieve shared objectives within the scope of the project and monitor and adjust a personal programme of work on an ongoing basis.
• Part II: Peer-to-Peer Project EvaluationConstruct error estimates of third-party simulation codes using a simulation ensemble with varied input parameters.
• Part II: Peer-to-Peer Project EvaluationValidate a code’s compliance with research software engineering principles, including usability, portability, and sustainability.
• Part II: Peer-to-Peer Project EvaluationCritically assess the error estimates provided by the software authors.
• Part II: Peer-to-Peer Project EvaluationProvide critical feedback to software authors in an error estimate assessment report and oral presentation, thus demonstrating effective written and oral communication skills.

Indicative reading list

J. C. Carver, N. P. Chue Hong, G. K. Thiruvathukal, Software Engineering for Science
S. Oliveira, D.E. Stewart: Writing scientific software : a guide for good style
R. Stephens: Beginning software engineering

Interdisciplinary

Mixes domain-specific simulation and mathematics with implementation and software engineering.

Subject specific skills

Scientific software development, domain-specific knowledge.

Transferable skills

Teamwork, collaborative code development, presentation skills, portfolio writing.