Key information
- Faculty
- Faculty of Mathematical and Physical Sciences
- Teaching department
- Mathematics
- Credit value
- 15
- Restrictions
-
This module is normally taken as an option by second or third year students on single or combined honours mathematics degrees, who have taken MATH0011, providing some knowledge in Python, and MATH0006 and MATH0010, providing a background in linear algebra and mathematical methods . It may be suitable for other students with a suitable background in all these areas.
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
Throughout the last fifty years fast numerical methods have revolutionised the applications of mathematics, making it possible to simulate huge problems in science and engineering that are intractable by analytic methods. This course is designed to give an overview of the design, analysis and implementation of the most fundamental numerical techniques in numerical linear algebra, the interpolation of functions, and the evaluation of integrals. The course will be heavily based on Python as programming language. While we present many Python examples throughout the course, students are strongly advised to have either some previous programming experience in any language or to have taken MATH0011, which includes Python programming.
Module deliveries for 2024/25 academic year
Intended teaching term:
Term 2 ÌýÌýÌý
Undergraduate (FHEQ Level 5)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
60%
Exam
40%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
123
- Module leader
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Dr Max Jensen
- Who to contact for more information
- math.ugteaching@ucl.ac.uk
Last updated
This module description was last updated on 19th August 2024.
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