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Mathematical Methods 1 (PHAS0002)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Physics and Astronomy
Credit value
15
Restrictions
In order to take this module, students should normally have achieved at least a grade B in A-level Mathematics or another equivalent qualification. Knowledge of A-level 'Further Mathematics' is not required.
Timetable

Alternative credit options

This module is offered in several versions which have different credit weightings (e.g. either 15 or 30 credits). Please see the links below for the alternative versions. To choose the right one for your programme of study, check your programme handbook or with your department.

  1. Mathematical Methods 1 (MATH0010)

Description

Outline:

This module aims to provide students with the mathematical foundations required for all the first term and some of the second term modules in the first year of our physics-related degree programmes, and to give students practice in mathematical manipulation and problem-solving. Topics include: complex numbers, vectors, (partial) differentiation, integration, series and limits.Ìý

Aims:

  • To provide the mathematical foundations required for all term 1 modules and some of the Term 2 modules in the first year of the Physics and Astronomy programmes; To prepare students for the term 2 follow-on mathematics course PHAS0009 Mathematical Methods II; To give students practice in mathematical manipulation and problem solving.

Intended Learning Outcomes:

After completing this course, the student should be able to:

  • understand the relation between the hyperbolic and exponential functions;
  • differentiate simple functions and apply the product and chain rules to evaluate the differentials of more complicated functions;
  • find the positions of the stationary points of a function of a single variable and determine their nature;
  • understand integration as the reverse of differentiation;
  • evaluate integrals by using substitutions, integration by parts, and partial fractions;
  • understand a definite integral as an area under a curve and make simple numerical approximations;
  • differentiate up to second order a function of 2 or 3 variables and test when an expression is a perfect differential;
  • change the independent variables by using the chain rule and work with polar coordinates;
  • find the stationary points of a function of two independent variables and show whether these correspond to maxima, minima or saddle points;
  • evaluate line integrals along simple curves in three-dimensional space;
  • manipulate real three-dimensional vectors, evaluate scalar and vector products, find the angle between two vectors in terms of components;
  • construct vector equations for lines and planes and find the angles between them, understand frames of reference and direction for interception using vectors;
  • express vectors, including velocity and acceleration, in terms of basis vectors in polar coordinate systems; understand the concept of convergence for an infinite series and apply simple tests to investigate it; expand an arbitrary function of a single variable as a power series (Maclaurin and Taylor), make numerical estimates and apply l’Hôpital’s rule to evaluate the ratio of two singular expressions; represent complex numbers in Cartesian and polar form on an Argand diagram;
  • perform algebraic manipulations with complex numbers, including finding powers and roots;
  • apply de Moivre’s theorem to derive trigonometric identities and understand the relation between trigonometric and hyperbolic functions using complex arguments.

Teaching and Learning Methodology:

This module is delivered via weekly lectures supplemented by a series of workshops and additional discussion. In addition to timetabled lecture hours, it is expected that students engage in self-study in order to master the material. This can take the form, for example, of practicing example questions and further reading in textbooks and online.

Indicative Topics:

  • Complex Numbers;
  • Vectors;
  • Differentiation;
  • Integration;
  • Partial Differentiation;
  • Series & LimitsÌý

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 4)

Teaching and assessment

Mode of study
In person
Methods of assessment
80% Fixed-time remote activity
10% Coursework
10% In-class activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
249
Module leader
Professor Stan Zochowski
Who to contact for more information
s.zochowski@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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