## MA2MPR-Mathematical Programming

Module Provider: Mathematics and Statistics
Number of credits: 10 [5 ECTS credits]
Level:5
Terms in which taught: Autumn term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded: MA1MSP Mathematical and Statistical Programming
Current from: 2018/9

Module Convenor: Dr Zuowei Wang

Type of module:

Summary module description:

This module introduces students to the valuable skill of programming with clear links to applications in mathematics. Various programming languages will be taught, for example Matlab, Maple and C/C++. Examples from pre-requisite module will be used to illustrate various programming techniques.

Aims:

• To develop basic and intermediate programming skills in the context of other modules being taken;

• To introduce the concepts of program design;

• To introduce computer programming languages relevant to mathematics;

• To introduce good programming practice in the structure, maintenance and in-program documentation of the code;

• To be able to display results visually using graphics capabilities of the languages;

• By the end of the module students should be able to dissect a given problem into an algorithm suitable for programming in languages such as Matlab.

Assessable learning outcomes:

• Students will be able to demonstrate the ability to transfer mathematical problems into programs in computer languages such as Matlab;

• Students will be able to demonstrate good programming practice in structure, maintenance and documentation of code;

• Student will be able to display results visually using graphics capabilities of the languages;

• Students will be able to formulate simple real world problems into computer programmes and find the numerical solutions accordingly;

• Students will be able to appreciate and analyse the errors in the numerical outputs of their programmes by comparing with exact solutions.

• Students will further develop their transferable skills in the area of programming for the mathematical sciences;

• This module will support the learning process in other mathematical modules.

Outline content:

• An introduction to the concept of programming, including top-down design

• Various mathematical concepts will be analysed and appropriate programming techniques applied to facilitate solution and understanding

• Scientific programming languages will be introduced, including Matlab, in which developed algorithms will be implemented.

Brief description of teaching and learning methods:

Lectures, computer labs, self-guided study as well as summative and formative assignments. Worksheets and self- evaluation /feedback mechanisms.

Contact hours:
 Autumn Spring Summer Lectures 8 Practicals classes and workshops 12 Guided independent study 80 Total hours by term 100.00 Total hours for module 100.00

Summative Assessment Methods:
 Method Percentage Set exercise 100

Summative assessment- Examinations:

Not applicable.

Summative assessment- Coursework and in-class tests:

A number of programming assignments during the term.

Formative assessment methods:

A number of non-assessed programming exercises and worksheets to illustrate the material being taught, resulting in detailed feedback to enhance programming skills.

Penalties for late submission:

The Module Convenor will apply the following penalties for work submitted late, in accordance with the University policy.

• where the piece of work is submitted up to one calendar week after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for the piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of five working days;

• where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

The University policy statement on penalties for late submission can be found at:http://www.reading.ac.uk/web/FILES/qualitysupport/penaltiesforlatesubmission.pdf

You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Assessment requirements for a pass:

A mark of 40% overall.

Reassessment arrangements:

Alternative course work.