PHYS52015: Core Ib: Introduction to Scientific and High-Performance Computing

• A UK first or upper second class honours degree (BSc) or equivalent in Physics or a subject with basic physics courses OR in Computer Science OR in Mathematics OR in any natural sciences with a strong quantitative element. Programming knowledge in at least one programming language and commitment to learning C and Python independently if not known before.

• PHYSPGNEW02

• None

• Provide basic knowledge and critical understanding of paradigms, fundamental ideas and trends in High Performance Computing (HPC)
• Provide basic knowledge and critical understanding of paradigms, fundamental ideas, algorithms and methods of numerical simulation.

• Introduction to High-Performance Computing
• Introduction to numerical methods, scientific computing and simulation

Subject-specific Knowledge:

• understanding and critical reflection of fundamental ideas and techniques in the application of HPC techniques
• understanding and critical reflection of fundamental ideas and techniques in the application of numerical methods

Subject-specific Skills:

• Competent and educated selection and application of programming languages, algorithms and computing tools for specific problems.

Key Skills:

• familiarity with basic paradigms and modern concepts underlying scientific computing

• Teaching will be by lectures and workshops.
• The lectures provide the means to give a concise, focused presentation of the subject matter of the module.
• When appropriate, the lectures will also be supported by the distribution of written material, or by information and relevant links on DUO.
• Regular problem exercises and workshops will give students the chance to develop their theoretical understanding and problem solving skills.
• Students will be able to obtain further help in their studies by approaching their lecturers, either after lectures or at other mutually convenient times.
• Student performance will be summatively assessed through coursework.
• The formative coursework provides opportunities for feedback, for students to gauge their progress and for staff to monitor progress throughout the duration of the module.

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