COMP52515: Computational Linear Algebra and Continuous Systems

• PHYS52015 Introduction to Scientific and High Performance Computing

• None

• n/a

• Provide advanced knowledge and critical understanding of paradigms, fundamental ideas, algorithms and methods behind the modelling and simulation of continuous systems
• Provide advanced knowledge and critical understanding of paradigms, fundamental ideas and methods in design, development, and use of numerical linear algebra in the solution of continuous systems

• Computational Linear Algebra
• Continuous Systems

Subject-specific Knowledge:

• Understanding and critical reflection of advanced ideas, numerical techniques and algorithms used to study continuous models
• Understanding and critical reflection of advanced approaches to high performance numerical linear algebra, and its use in simulation

Subject-specific Skills:

• Basic familiarity with state-of-the-art algorithms to solve large-scale and data intense challenges
• Competence to translate discrete problem descriptions into algorithmic formulations; competent and educated selection of appropriate solution algorithms

Key Skills:

• Familiarity with advanced paradigms and modern algorithms underlying scientific computing for continuous systems and numerical linear algebra

• 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 Ultra.
• 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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