Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2017-2018 (archived)

Module FOUD0701: Core Foundation Maths for Bioscientists

Department: Foundation Year (Durham)

FOUD0701: Core Foundation Maths for Bioscientists

Type Open Level 0 Credits 20 Availability Available in 2017/18 Module Cap None. Location Durham

Prerequisites

  • None.

Corequisites

  • None.

Excluded Combination of Modules

  • 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
Lectures 10 Weekly 2 20
Seminars 10 Weekly 3 30
Tutorials 10 Weekly 1 10
Preparation and Reading 140
Total 200

Summative Assessment

Component: Invigilated Test Component Weighting: 50%
Element Length / duration Element Weighting Resit Opportunity
Invigilated Test 2 hours 100% Resit
Component: Potfolio of Tests and Coursework Component Weighting: 50%
Element Length / duration Element Weighting Resit Opportunity
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.


Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University