Maths 1 for Foundation

Module title	Maths 1 for Foundation
Module code	INT0020
Academic year	2018/9
Credits	20
Module staff	Joaquin Navarrete Navarro (Lecturer)

Duration: Term	1	2	3
Duration: Weeks		12

Number students taking module (anticipated)	100

Description - summary of the module content

Module description

How can you record and manipulate the quantities of different goods in your company warehouse? How can you find out whether your rival company is telling the truth about their products without taking them all to pieces? How high will your fireworks go before they turn and fall back onto the amazed onlookers? How does changing one small thing affect all the other things dependent on it? What is the trajectory of an asteroid escaping from orbit? You can answer all these questions if you study the mathematics taught in this module!

Pre-requisite modules: INT0007 Foundation Mathematics

Module aims - intentions of the module

This module aims to provide a foundation in mathematics for students who intend to follow a degree programme in the areas of Accountancy, Finance, Mathematics, Psychology, Engineering or related disciplines. It builds on the knowledge and skills developed in Foundation Mathematics. Students will be expected to manage their time successfully in order to complete a series of coursework and other tasks.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

On successfully completing the module you will be able to...

1. Use scientific mathematical notation
2. Manipulate algebraic expressions and functions
3. Demonstrate understanding of and apply mathematical techniques in calculus and statistics
4. Recognise and construct graphs from algebraic, logarithmic and exponential functions
5. Use some statistical techniques to describe and analyse data

ILO: Discipline-specific skills

On successfully completing the module you will be able to...

6. Demonstrate understanding of mathematical principles required in business and scientific disciplines
7. Construct and solve mathematical models representing situations in the business and scientific worlds
8. Use the results of calculations to make predictions and interpret answers
9. Describe and interpret sets of data using statistical analysis

ILO: Personal and key skills

On successfully completing the module you will be able to...

10. Interpret and analyse data
11. Communicate effectively in the written form

Syllabus plan

Estimation, absolute and relative answers.
Algebra. Algebraic fractions: cancelling, adding, subtracting, multiplying, and dividing. Partial fractions. The modulus function. Simultaneous equations, 1 linear and 1 quadratic. Inequalities. Division of a polynomial by a linear orquadratic polynomial. The factor theorem. The remainder theorem. Binomial expansion of (1+x)ⁿand (a+bx)ⁿ , where n isan integer or a fraction.
Vectors. Addition, Modulus, Scalar Product, Angle between vectors, Equation of line, Vector Product.
Function notation: y=f(x). Curve sketching of quadratic and cubic functions. Application of simple transformations on the graph y = f(x). Domain and range. Composite Functions.
Matrices. Addition, Subtraction, Multiplication of up to 3x3 matrices. Inverse of 2x2 matrix. Using matrices to solve simulations equations.
Co-ordinate geometry. Sketching curves given by Cartesian equations. Asymptotes.
Differentiation. e^x, In x. The chain rule, the product rule, the quotient rule. Connected rates of change.
Integration of exponentials, log functions. Integration: by substitution, by parts, of rational functions using partial fractions.
Probability. Random variables. The probability function.
Statistics. The binomial distribution. Hypothesis testing using the normal distribution.

Learning and teaching

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching Activities	Guided independent study	Placement / study abroad
60	140	0

Details of learning activities and teaching methods

Category	Hours of study time	Description
Scheduled Learning and Teaching activities	60	Small group lessons, including lectures, examples, practice and use of computing techniques.
Guided Independent Learning	140	Study of written notes, practise examples, using resources supplied on ELE and other on-line learning material.

Assessment

Summative assessment (% of credit)

Coursework	Written exams	Practical exams
20	80	0

Details of summative assessment

Form of assessment	% of credit	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
Coursework assignments	20	15 hours	1-10	Online feedback immediately after submission
Mid-Term Examination	30	2 hours	1-11	Verbal feedback in class tutorial
Final Examination	50	2 hours	1-11	Written feedback on formal submission
	0
	0
	0

Re-assessment

Details of re-assessment (where required by referral or deferral)

Original form of assessment	Form of re-assessment	ILOs re-assessed	Timescale for re-assessment
Examination and Coursework	Examination	1-11	Notified at commencement of module.

Re-assessment notes

The grade for the referred exam, and therefore the module grade, will be capped at 40%. Re-assessment, which is only available if all coursework has been completed, will not include coursework marks or mid-term exam marks. Resubmission of coursework is impractical since coursework answers are made available to students at the close of original submission.

Deferred exams will not be capped and will include both summative coursework and examination marks in the final module grade.

Resources

Indicative learning resources - Basic reading

Hanrahan, V., Matthews, J., Porkess, R. & Secker, P. (2004). MEI AS Pure Mathematics C1 and C2: MEI Structured Mathematics (3rd Ed.). London: Hodder Murray.

Berry, C., Hanrahan, V., Porkess, R., Secker, P.(2004). MEI A2 Pure Mathematics C3 and C4: MEI Structured Mathematics (3rd Ed.). London: Hodder Murray.

Eccles, A., Francis, B., Graham, A.,& Porkess, R. (2004). MEI Statistics 1: MEI Structured Mathematics (3rd Ed.). London: Hodder Murray.

Eccles, A., Francis, B., Green, N.,& Porkess, R. (2004). MEI Statistics 2: MEI Structured Mathematics (3rd Ed.). London: Hodder Murray.

Berry, C., Martin, D., & Heard, T., (2004). MEI AS Further Pure Mathematics FP1: MEI Structured Mathematics (3rd Ed.). London: Hodder Murray.

Indicative learning resources - Web based and electronic resources

ELE – http://vle.exeter.ac.uk/mod/resource/view.php?id=25831

Module has an active ELE page

Indicative learning resources - Other resources

Pledger, K., Attwood, G., MacPherson, A., Moran, B., Petran, J. & Wilkins, D. (2004). Core Mathematics 1: Heinemann Modular Mathematics. Oxford: Heinemann Educational.
Pledger, K., Attwood, G., MacPherson, A., Moran, B., Petran, J., Staley, G. & Wilkins, D. (2004). Core Mathematics 2: Heinemann Modular Mathematics. Oxford: Heinemann Educational.
Pledger, K., Attwood, G., MacPherson, A., Moran, B., Petran, J., Staley, G. & Wilkins, D. (2004). Core Mathematics 3: Heinemann Modular Mathematics. Oxford: Heinemann Educational.
Attwood, G., Dyer, G. & Skipworth, G. (2000). Statistics 1: Heinemann Modular Mathematics. Oxford: Heinemann Educational.

Key words search

Mathematics, Foundation Mathematics, Foundation Statistics

Credit value	20
Module ECTS	10
Module pre-requisites	Foundation Maths
NQF level (module)	3
Available as distance learning?	No
Origin date	01/09/2009
Last revision date	25/07/2013