# CALCULUS - 2022/3

Module code: MAT1030

In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.

We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice during the academic year 2021/22.

This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.

Module Overview

This module introduces students to the most important techniques in Calculus. In particular the module leads to a deeper understanding of the concepts of differentiation and integration. These concepts provide the fundamental tool for describing motion quantitatively. Tools and methods for differentiation and integration will be presented in detail. In addition linear first and second order differential equations will be studied and their importance for (partially) interpreting and understanding the world around us

Module provider

Mathematics

Module Leader

TURNER Matthew (Maths)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 4

JACs code: G100

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 95

Seminar Hours: 11

Guided Learning: 11

Captured Content: 33

Module Availability

Semester 1

Prerequisites / Co-requisites

None

Module content

- Complex numbers, modulus, argument, exponential form, De Moivre's theorem, hyperbolic functions, roots of complex numbers.

- Exponential, logarithmic and trigonometric functions.

Properties and types of functions. Inverse, parametric and implicit functions .Limits.

Equations. Plane polar coordinates. Curve sketching. Transformation of curves.

Techniques of differentiation - parametric, implicit and logarithmic.

Applications of differentiation.

Power series, manipulation and application; l’Hôpital’s rule. Taylor and Maclaurin series.

Techniques of integration; reduction formulae; arc length, areas of surfaces and volumes of revolution.

First order ODEs.Separation of variables. Integrating factor method. Homogeneous equations. Bernoulli equations.

Second order linear ODEs with constant coefficients.

Assessment pattern

Assessment type | Unit of assessment | Weighting |
---|---|---|

Online Scheduled Summative Class Test | ONLINE TEST | 25 |

Examination Online | ONLINE EXAM | 75 |

Alternative Assessment

N/A

Assessment Strategy

The __assessment strategy__ is designed to provide students with the opportunity to demonstrate:

· Understanding of and ability to interpret and manipulate mathematical statements.

· Subject knowledge through the recall of key definitions, theorems and their proofs.

· Analytical ability through the solution of unseen problems in the test and exam.

Thus, the __summative assessment__ for this module consists of:

One two hour examination (three best answers contribute to exam mark) at the end of Semester 1; worth 75% module mark.

One in-semester test; worth 25% module mark.

__Formative assessment and feedback__

Students receive written feedback via a number of marked coursework assignments over an 11 week period. In addition, verbal feedback is provided by lecturer/class tutor at biweekly seminars and weekly tutorial lectures.

Module aims

- This module provides techniques, methods and practise in manipulating mathematical expressions using algebra and calculus, building on and extending the material of A-level syllabus.

Learning outcomes

Attributes Developed | ||
---|---|---|

002 | Understand set notation and know the basic properties of real numbers | C |

003 | Analyse and manipulate functions and sketch the graph of a function in a systematic way | C |

004 | Differentiate functions by applying standard rules | C |

005 | Obtain Taylor & Maclaurin series expansions for a variety of functions | C |

006 | Evaluate integrals by means of substitution, integration by parts, partial fractions and other techniques | C |

007 | Apply differentiation and integration techniques to a variety of theoretical and practical problems | KT |

008 | Solve first order ordinary differential equations and second order ordinary differential equations with constant coefficients | K |

001 | Understand complex numbers, how to manipulate them and be able to solve problems involving them. | KC |

Attributes Developed

**C** - Cognitive/analytical

**K** - Subject knowledge

**T** - Transferable skills

**P** - Professional/Practical skills

Methods of Teaching / Learning

The l__earning /teaching __strategy is designed to:

- A detailed introduction to complex numbers, differentiation, integration and ordinary differential equations with constants coefficients
- Experience (through demonstration) of the methods used to interpret, understand and solve problems in calculus

The l

__earning /teaching__methods include:

- 4 x 1 hour lectures per week x 11 weeks, with written notes to supplement the module handbook and Q + A opportunities for students.
- (every second week) 1 x 1 hour seminar for guided discussion of solutions to problem sheets provided to and worked on by students in advance.

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk

Upon accessing the reading list, please search for the module using the module code: **MAT1030**

Programmes this module appears in

Programme | Semester | Classification | Qualifying conditions |
---|---|---|---|

Mathematics MMath | 1 | Compulsory | A weighted aggregate mark of 40% is required to pass the module |

Mathematics with Statistics MMath | 1 | Compulsory | A weighted aggregate mark of 40% is required to pass the module |

Mathematics with Statistics BSc (Hons) | 1 | Compulsory | A weighted aggregate mark of 40% is required to pass the module |

Mathematics BSc (Hons) | 1 | Compulsory | A weighted aggregate mark of 40% is required to pass the module |

Financial Mathematics BSc (Hons) | 1 | Compulsory | A weighted aggregate mark of 40% is required to pass the module |

Mathematics with Music BSc (Hons) | 1 | Compulsory | A weighted aggregate mark of 40% is required to pass the module |

Mathematics and Physics BSc (Hons) | 1 | Compulsory | A weighted aggregate mark of 40% is required to pass the module |

Economics and Mathematics BSc (Hons) | 1 | Compulsory | A weighted aggregate mark of 40% is required to pass the module |

Mathematics and Physics MPhys | 1 | Compulsory | A weighted aggregate mark of 40% is required to pass the module |

Mathematics and Physics MMath | 1 | Compulsory | A weighted aggregate mark of 40% is required to pass the module |

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.