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Mathematical Methods 2 (MATH0011)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Mathematics
Credit value
15
Restrictions
This module is normally only taken as a compulsory course by (i) first year students on Mathematics single and combined honours degrees (ii) second year students on the Mathematical Computation degree. It may also be taken by affiliate students with suitable backgrounds or suitably qualified BASc students.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module consists of two parts: first an introduction to programming for the mathematical sciences (4 weeks) and then an introduction to multivariable calculus (5 weeks). Programming is becoming an increasingly important tool for mathematicians both in industry and in research. In view of this, some elements of basic scientific computation should be part of any modern undergraduate curriculum in Mathematics. Multivariable calculus on the other hand is of fundamental importance in a variety of fields of pure and applied mathematics such as electromagnetism, fluid mechanics, differential geometry and integration theory. The aim of the first part is to introduce the students to the ideas of computer programming and its uses in scientific computing for science and its applications. The programming language Python will be considered in the course, but the underlying principles are general. Students should learn how to write accurate programs for the computational solution of mathematical problems. The aim of the second part is to introduce the students to the ideas of the calculus of several variables, and to develop their understanding of functions of several variables, their derivatives and integrals.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Undergraduate (FHEQ Level 4)

Teaching and assessment

Mode of study
In person
Methods of assessment
75% Exam
25% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
336
Module leader
Professor Rod Halburd
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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