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Department of Mathematics

Numerical Analysis (G5147)

Numerical Analysis

Module G5147

Module details for 2022/23.

15 credits

FHEQ Level 5

Module Outline

• Numerical differentiation with order of approximation
• Finite Difference approximations of very basic initial value problems
• Direct solvers for linear systems: LU, Cholesky, QR
• Basic iterative solvers: Jacobi/Gauss-Seidel/SOR
• Nonlinear equations: Banach fixed point theorem, Newton’s method

Module learning outcomes

Be familiar with numerical methods for approximating basic initial value problems;

Implement numerical methods to evaluate the solution of linear systems of equations;

Understand the theory behind iterative techniques for solving nonlinear equations;

Develop presentation skills.

TypeTimingWeighting
Coursework5.00%
Coursework components. Weighted as shown below.
PresentationT2 Week 7 100.00%
Coursework10.00%
Coursework components. Weighted as shown below.
PortfolioT2 Week 11 100.00%
Unseen ExaminationSemester 2 Assessment70.00%
Coursework10.00%
Coursework components. Weighted as shown below.
Problem SetT2 Week 4 25.00%
Problem SetT2 Week 6 25.00%
Problem SetT2 Week 9 25.00%
Problem SetT2 Week 11 25.00%
Coursework5.00%
Coursework components. Weighted as shown below.
EssayT2 Week 6 100.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterLecture2 hours11111111111
Spring SemesterWorkshop1 hour01111111111
Spring SemesterClass1 hour11100000000
Spring SemesterLecture1 hour11111111111
Spring SemesterClass1 hour11111111111
Spring SemesterPractical1 hour01111100000

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Chandrasekhar Venkataraman

Convenor, Assess convenor
/profiles/203407

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