Total Credits: 20
Level: Level 4
Target Students: Students taking the MSc Scientific Computing and the MSc Financial and Computational Mathematics in the School of Mathematical Sciences; Also available to Year 4 MMath students and other MSc students.
|Spring||Assessed by end of Spring Semester|
Prerequisites: For MMath students, G12INM is a pre-requisite. MSc students should have a solid background in mathematics, including calculus, linear algebra, and ordinary differential equations as covered by the entry requirements. Some programming experience (Matlab, C++, Python, etc) is expected.
|G12INM||Introduction to Numerical Methods|
Summary of Content: Four major topics for the computational solution of problems in applied mathematics are considered in this module:
Method and Frequency of Class:
|Activity||Number Of Weeks||Number of sessions||Duration of a session|
|Lecture||12 weeks||1 per week||2 hours|
|Workshop||12 weeks||1 per week||1 hour|
Method of Assessment:
|Exam 1||60||2.5 hour written examination|
|Coursework 1||20||Assessed coursework including a computing component|
|Coursework 2||20||Assessed coursework including a computing component|
Dr K van der Zee
Education Aims: This module introduces computational methods for solving problems in applied mathematics. Students taking this module will develop knowledge and understanding to design, justify and implement relevant computational techniques and methodologies.
Learning Outcomes: A student who completes this module successfully should be able to:
L1 - Formulate and analyse polynomial approximations;
L2 - Formulate and analyse computational methods for the solution of nonlinear equations;
L3 - Formulate and analyse relevant numerical methods for ODEs and PDEs;
L4 - Implement computational algorithms using a sophisticated programming language.
Offering School: Mathematical Sciences
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