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: MA1CA Calculus and MA1LA Linear Algebra and MA1FM Foundations of Mathematics
Non-modular pre-requisites:
Co-requisites:
Modules excluded: MA1MSP Mathematical and Statistical Programming
Current from: 2020/1

Module Convenor: Dr Peter Sweby

Email: p.k.sweby@reading.ac.uk

Type of module:

Summary module description:

This module introduces students to the valuable skill of programming with clear links to applications in mathematics. Programming concepts will be taught in the context of the Matlab programming language but are applicable to other programming languages. Examples from other mathematics modules taken will be used to illustrate various programming techniques.

Aims:

•ÌýTo develop basic and intermediate programming skills in the context of other modules being taken or having been taken in Part 1;

•ÌýTo introduce the concepts of program design;

•ÌýTo introduce computer programming languages relevant to mathematics, in particular Matlab;

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

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

•ÌýBy 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:

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

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

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

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

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

Additional outcomes:

• 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:

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

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

•ÌýThe Matlab programming languages will be introduced, 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:

Ìý	Autumn	Spring	Summer
Lectures	10
Practicals classes and workshops	12
Guided independent study:	78
Ìý	Ìý	Ìý	Ìý
Total hours by term		0	0
Ìý	Ìý	Ìý	Ìý
Total hours for module	100

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 and Tests during theÌýterm.

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.

Ìý

Penalties for late submission:

The Module Convenor will apply the following penalties for work submitted late:

• where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day[1] (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:
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.

Additional Costs (specified where applicable):
1) Required text books:
2) Specialist equipment or materials:
3) Specialist clothing, footwear or headgear:
4) Printing and binding:
5) Computers and devices with a particular specification:
6) Travel, accommodation and subsistence:

Last updated: 28 April 2020