This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Undergraduate Handbook 2016-2017 (archived)
Module FOUD0701: Core Foundation Maths for Bioscientists
Department: Foundation Year (Durham)
FOUD0701: Core Foundation Maths for Bioscientists
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Open | 0 | 20 | Available in 2016/2017 | None. | Durham |
Pre-requisites
- None.
Corequisites
- None.
Excluded Combinations
- None
Aims
- To improve confidence in algebraic manipulation through the study of mathematical techniques and development of investigative skills.
- To introduce and develop a knowledge of logarithms and their uses.
- To introduce and develop a knowledge of trigonometry.
- To introduce and develop understanding of a range of standard techniques for differentiation and integration.
- To include trigonometric and logarithmic functions.
- To introduce and develop a bank of mathematical skills, which students can apply in a range of biological sciences contexts
- To introduce and develop understanding of basic statistical principles to provide a foundation for future study.
Content
- Quadratic equations, factorisation, graphs, quadratic formula.
- Trigonometry, sine, cosine, tangent.
- Sequences and Series , Arithmetic, geometric, use of sigma notation.
- Indices and Logarithms: laws, solution of equations.
- Reduction of a given relation to linear form, graphical determination of constants.
- Rate of change, increasing/decreasing functions, maxima and minima.
- Differentiation of: algebraic polynomials ,composite functions (chain rule), sum, product or quotient of two functions, trigonometric and exponential functions.
- Evaluation of integrals by using standard forms or partial fractions.
- Second derivatives of standard functions.
- Factor theorem.
- Percentage use
- Linear equations, Substitution and transposition of formulae
- Pythagoras' theorem
- Standard Index form
- Area and Volume, Symmetry
- Applications in scientific calculations
- Introduction to statistics: Mean. mode, median, standard deviation and histograms
- Proportional reasoning and Application of number to biomedical calculations
Learning Outcomes
Subject-specific Knowledge
- By the end of this module the student will have acquired the knowledge to be able to:
- confidently manipulate a range of algebraic expressions as needed in a variety of contexts.
- use logarithms to solve problems and to predict relationships from graphs.
- differentiate and integrate a number of different types of functions.
Subject-specific Skills
- By the end of this module the student will have acquired the skills to be able to:
- recall, select and use knowledge of appropriate integration and differentiation techniques as needed in a variety of contexts.
- confidently manipulate a range of algebraic expressions and use a range of techniques as required in problems appropriate to the syllabus.
Key Skills
- By the end of the module students will be able to:
- communicate effectively in writing.
- be able to apply number both in the tackling of numerical problems and in the collecting, recording, interpreting and presenting of data.
- be able to demonstrate problem solving skills.
- Invigilated test covers learning outcomes:SSK1. SSK2, SSK3, SSS1, SSS2, KS1, KS2, KS3, (ie everything)
- Class tests cover all above
- Coursework covers all above.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Theory, initial concepts and techniques will be introduced during lectures and seminars.
- Much of the learning, understanding and consolidation will take place through the use of structured exercise during seminar and tutorial sessions and students own time.
- Manipulative skills and ability to recall, select and apply mathematics including calculus will be assessed by an end of module test and a portfolio of tasks including some short invigilated tests and solutions to questions set on a weekly basis.
- Logarithms and prediction of relationships from graphs will be consolidated and assessed within a coursework task.
- In addition to obtaining an overall weighted mark of 50% or above, students must obtain a mark of 50% or above for the following element/s - Invigilated test.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total Hours | Attendance Monitored |
|---|---|---|---|---|---|
| Lectures | 10 | Weekly | 2 | 20 | Yes |
| Seminars | 10 | Weekly | 3 | 30 | Yes |
| Tutorials | 10 | Weekly | 1 | 10 | Yes |
| Preparation and Reading | 140 | ||||
| Total | 200 |
Summative Assessment
| Component | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Invigilated Test | 50% | Invigilated Test | 2 hours | 100% | Resit |
| Potfolio of Tests and Coursework | 50% | Class Test | 2 hours 15 mins | 50% | Resit |
| Coursework | 50% | Resubmission |
Formative Assessment
Students will be given self testing units on a weekly basis. The module has variety form of assessment; portfolio tasks with a rapid marking turnaround fulfill a formative as well as summative role.
Students who do not attend monitored activities shown under Teaching Methods
and Learning Hours, or who fail to complete the summative or formative
assessment(s) specified above, may be subject to the Academic Progress
procedures defined in the University's General Regulation V, and may be
required to leave the University.