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MA913 - Scientific Computing

  • Module code: MA913
  • Module name: Scientific Computing
  • Department: Mathematics Institute
  • Credit: 15

Content and teaching | Assessment | Availability

Module content and teaching

Principal aims

Module Aims: a) Understand the theoretical concepts of parallel computing; b) Gain practical skills and confidence in using standard software packages for parallelising algorithms; c) Apply the ideas and techniques to computational problems in mathematical and statistical sciences; d) Critically address issues of design, performance and validation of software.

Principal learning outcomes

Approach and solve problem involving numerical computations with confidence and skill; Understand theoretical issues relating to numerical algorithms; Have a deep understanding of some of the main ideas and techniques in solving computationally problems in mathematical and statistical sciences; Critically address issues of design, performance and validation of code development.

Timetabled teaching activities

The module will be delivered both through lectures on theoretical ideas and software design, and directed computer lab work to obtain skills in implementing, testing and improving performance.

Departmental link

http://go.warwick.ac.uk/ma913/

Other essential notes

Available for MSc Mathematics and Statistics (MASDOC) students

Module assessment

Assessment group Assessment name Percentage
15 CATS (Module code: MA913-15)
A (Assessed work only) Oral examination (20 minutes) 50%
  Coursework 50%

Module availability

This module is available on the following courses:

Core

N/A

Optional Core

N/A

Optional
  • Postgraduate Taught Mathematics (G1P0) - Year 2
  • Postgraduate Taught Mathematics (Diploma plus MSc) (G1PC) - Year 2
  • Postgraduate Taught Interdisciplinary Mathematics (Diploma plus MSc) (G1PD) - Year 2
  • MSc in Scientific Computing (G5P5) - Year 2