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Mathematics 1AS (MATH 10300)

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Administrative Information

  1. Unit number and title: MATH 10300 Mathematics 1AS
  2. Level: C/4 (Open)
  3. Credit point value: 40 credit points
  4. Year: 12/13
  5. First Given in this form: 1990/91 (under the name Mathematics 1C)
  6. Unit Organiser: Richard Porter
  7. Lecturer: Dr. R. Porter/ Dr. C. Harris (Calculus 1 Lectures, weeks 1 - 12), Dr. M. Zaturska (Linear Algebra, weeks 13 - 18), Dr. L. Chen (Basic Statistics, weeks 17-23).
  8. Teaching block: 1 and 2
  9. Prerequisites: A-level Mathematics, or equivalent.

Unit aims

To introduce and develop skill in the mathematics and basic statistics needed to study the sciences at degree level.

General Description of the Unit

The unit begins with some basic ideas revising and extending school-level calculus, and then goes on to a thorough treatment of the calculus from the point of view of scientific applications. The subject is developed as far as differential equations and Fourier series. The mathematics is treated with enough logical precision to enable correct calculations and correct deductions to be made.

The linear algebra section deals with vectors, matrices and eigenvalues (which are fundamental to atomic physics, molecular chemistry, computational graphics, and many other branches of science and engineering).

The last section of the unit provides a short introduction to the aspects of statistics of most interest and importance to scientists, covering the basics of probability, statistical distributions, hypothesis testing, regression etc. No previous statistical knowledge will be assumed.

Relation to Other Units

The Calculus 1 and Linear algebra sections are shared with the unit Mathematics 1AM. The statistics section is shared with the unit Mathematics 1ES. The first teaching block of this unit (Calculus 1) is available as a 20cp unit, Mathematics 1A20.

Teaching Methods

The Calculus and Linear Algebra courses are based on lectures supported by problems classes and tutorials on how to apply the techniques in solving problems.

 

The lecturer will distribute problem sheets based on the work done in lectures, and will set specific problems which you will be required to hand in to tutors for marking. From week 2 or 3 of the course, students will attend weekly tutorials in which homework questions and additional problems will be covered.

 

The Basic Statistics course is based on lectures and practical sessions in the Computing Laboratory on the ground floor of the School of Mathematics. You should tackle the worksheets in the practical sessions for the week in which the sheet is given out.

Experience shows that progress in mathematics depends crucially on regular work at examples. For this reason you are REQUIRED to attend tutorials and practical sessions, and to hand in the set work. See the section Formal Requirements of the Unit below.

 

Tutorials

Weekly tutorials will be held after the first or second week. You will be given the time of your tutorial. 

Learning Objectives

After taking this unit, students should have:

  • a good understanding of single-variable calculus, as far as Taylor series,
  • techniques for solving simple differential equations and working with Fourier series,
  • a basic familiarity with vectors and matrices, including eigenvalues and eigenvectors,
  • an insight into the value, use and interest of statistical methods in scientific work and thought,
  • the ability to apply simple statistical methods in their own scientific work and understand what they are doing,
  • an understanding of the statistical jargon used in scientific papers.

Assessment Methods

The final mark for Mathematics 1AS is made up as follows:

  • 10% from a 1 1/2-hour examination in Calculus 1 in January,
  • 40% from a 3-hour examination in Calculus 1 in May/June,
  • 25% from a 1½-hour examination in Linear Algebra in May/June,
  • 25% from Statistics coursework

More information is given below.

Use of Calculators and Notes

 Calculators of an approved type (non-programmable, no text facility) are allowed. From 2012-13 ONLY calculators carrying a 'Facutly of Science' sticker will be allowed in the examination room.

Candidates may bring into the examination room one A4 sheet of notes; both sides of the sheet may be used.

Details of the Summer Examination

Paper 1 (3 hours) will have questions on the Calculus 1 material. It has two sections.

  • Section A has 10 short questions, ALL of which should be answered; it carries 40% of the marks for this paper.
  • Section B has 6 longer questions, of which you should do FOUR. If you do more than four, your best four answers from this section will be used for assessment. Section B carries 60% of the marks for this paper.

Paper 2 (1½ hours) will contain questions on Linear Algebra. It has two sections.

  • Section A contains five short questions, ALL of which should be answered; it carries 40% of the marks for this paper.
  • Section B contains 3 longer questions, of which you should do TWO; if you do more than two, your best two answers from this section will be used for assessment. This section carries 60% of the marks for the paper.

January examinations

The January examinations are right at the start of the second term. This term begins on Friday 11th January 2013, and the Maths 1AS examination may be on Friday 11th January or Saturday 12th January. IT IS YOUR RESPONSIBILITY to ensure that you are in Bristol to sit the examination; otherwise your mark will be zero (unless you have a certified illness or other special circumstances of which the department has been notified). You will be notified of the date, time and place of the January examination before the end of the first term.

The January examination paper (1 1/2 hours) contributes 10% to your overall mark and consists of two sections.

  • Section A has 5 short questions, ALL of these questions should be answered. Section A carries 40% of the marks for this paper.
  • Section B has 3 longer questions. You should do TWO questions from section B; if you do more than two, your best two answers will be used for assessment. Section B carries 60% of the marks for this paper.

Assessment of Statistics

The Statistics assessment is as follows:

  • Assignment 1 gives 20% of the Statistics mark.
  • Assignment 2 gives 25% of the Statistics mark.
  • Assignment 3 gives 25% of the Statistics mark.
  • Assignment 4 gives 30% of the Statistics mark.

Each assignment is to be handed in at the end of the lecture on the date specified when the assignment is set. No marks will be awarded for assignments handed in late.

There may be good reasons, such as illness, for handing in work late or not attending the required practical classes: you must provide evidence, such as a doctor's note, in order for marks to be awarded in such cases.

September examinations

If you fail Mathematics 1AS in June, you may (depending on which Faculty you are in and how you have done in your other units) be allowed to resit it in September. The September examination papers have the same structure as in June, and there will also be a practical assessment in Statistics. If you are offered a resit, you must take the resit examination.

Award of Credit Points

To be awarded the credit points for this unit you must normally pass the unit, i.e. you must achieve an assessment mark of 40 or more.

The assessment mark is calculated as described in the Assessment section above. Details of the university's common criteria for the award of credit points are set out in the Regulations and Code of Practice for Taught Programmes at http://www.bristol.ac.uk/esu/assessment/codeonline.html

In particular, for this unit:

  • students must attend the compulsory computer practicals during the statistics part of the course, otherwise they may be barred from the final examination and hence fail the unit without credit points,
  • students must attend the January examination,
  • students are expected to attend all the relevant tutorials,
  • students are expected to hand in attempts every week to the weekly exercises set.

Note: we will make allowances for illness and other such good reasons, PROVIDED that you follow the School of Mathematics procedures: you must inform the Undergraduate Student Administrators in Mathematics and submit a completed Extenuating Circumstances form (available from the School) together with supporting written documentation (e.g. a doctor's certificate, specifying the date(s) you were unable to undertake academic work).

Transferable Skills

Mathematical techniques for application in the physical sciences. Keyboard skills and computer literacy. Time management. Use of EXCEL for simple statistical work.

Texts

Recommended for the calculus and linear algebra parts of the unit, but not essential:

Jordan, D.W. & Smith, P. Mathematical Techniques: An introduction for the engineering, physical, and mathematical sciences (4th edition), Oxford University Press, Oxford, 2008.

Recommended for statistics, but not essential:

Gerald Keller, Applied Statistics with Microsoft Excel, published by Duxbury.

 

Supplementary Booklist

These books should be available in the library, and you may find them useful in different ways, as discussed below.

  1. Stewart, J., Calculus - Early Transcendentals, Brooks/Cole
    A very clearly written and comprehensive introduction to calculus, going beyond the Maths 1AM course. Includes vectors but not matrices. Recommended - if you can afford it. There are many similar textbooks in the library.
  2. Gilbert, J. and Jordan, C., Guide to Mathematical Methods, Palgrave (Macmillan) 2002.
    Introduces topics in a fairly elementary way, but does not cover all the material.
  3. Berry, J., Northcliffe, A., & Humble, S., Introductory mathematics through science applications, Cambridge University Press, Cambridge.
    Introduces topics in a fairly elementary way. May be useful if you feel you need to strengthen your basic skills.
  4. Boas, M.L., Mathematical methods in the physical sciences, Wiley,
    Useful for the second-year physics course: you may find it too demanding at the beginning of the 1AM course.
  5. Jeffrey, A., Mathematics for engineers and scientists, Chapman & Hall, London
    Covers most of the syllabus, and a good deal more besides, in a terse style..
  6. Jeffrey, A., Essentials of engineering mathematics, Chapman & Hall, London
    Similar in style to the previous book, though with slightly less extensive coverage.
  7. Bruce E. Trumbo, Learning Statistics with Real Data, Duxbury. An alternative statistics text.

Syllabus

Calculus 1, 34 lectures, weeks 1 - 12; Dr R. Porter

The numbers of lectures (shown in brackets) are a rough guide only.

  1. General introduction, Review of algebra and trigonometry. (2)
  2. Functions and graphs: important examples, inverse functions. (2)
  3. Sequences and series; limits of functions; continuous functions (3)
  4. Exponential function; natural logarithm; hyperbolic functions (2)
  5. Complex numbers; Argand diagram, polar form, complex exponential, complex roots (4)
  6. Differential calculus, differentiability, basic methods, higher derivatives, Leibniz formula; differentiation of inverse functions (3)
  7. Taylor approximations; Taylor series; convergence of the series; ratio test for power series; applications of Taylor series: maxima and minima; l'Hospital's rule for limits (4)
  8. Integration: integrals as antiderivatives and as area; standard techniques. (4)
  9. Differential equations: 1st-order separable and first order linear differential equations. (2)
  10. 2nd order linear differential equations with constant coefficients, homogenous including simple harmonic motion, inhomogeneous including resonance. (4)
  11. Full-range Fourier series in [-pi, pi] and general intervals. (4)

Linear algebra, 16 lectures, weeks 13 -18; Dr. M. Zaturska

  1. Matrices and vectors. Definition and motivation. What are they good for ? 
  2. Vectors. Addition and scaling, linear independence, bases. Dot product. Orthonormal sets. Cross product. Triple products. Lines and planes.
  3. Matrices. Basic algebra, inverses. Determinants, geometrical interpretation, calculation of determinants.
  4. Systems of linear equations. The geometry of solutions.
  5. Eigenvalues, calculation for 2 x 2 and 3 x 3 case by the characteristic equation. Completeness of eigenvectors. Eigenvalues and eigenvectors of symmetric matrices. Applications.

Basic Statistics, 17 Lectures, Weeks 19-23; Dr. L. Chen

Probability:

The use of probability in everyday life and in scientific modelling.
Exploratory methods: plotting data, structure exposed by suitable plots, log-log plots, outliers.

Probability models:

Use of probability to model observed phenomena.
Discrete variables: The Binomial distribution, the Poisson distribution
Continuous variables: The Normal distribution: its uses and misuses.

Inference:

Hypothesis testing and confidence intervals:
What is a p-value? One- and two-sided tests. Standard errors.
One and two sample t-tests, One-way Analysis of Variance.

Regression:

Dependence and independence. Linear regression and correlation. Percentage of variability explained.

Advice for Students

This is a 40 credit-point unit, which means that you should spend a third of your working time on it. The university expects students to work roughly 40 hours a week, which means 13 or 14 hours per week throughout the academic year spent on mathematics. Some students may need to spend more time than this in order to master the subject, some may need less.

Remember that you will not be allowed to remain in the University unless you work well enough to obtain 40 credit points from this course; see the section Formal Requirements of the Unit for more details.

Studying mathematics is different from many other subjects. Mathematicians use words in a way different from everyday life: mathematical terms have very precisely defined meanings, which may sometimes take a bit of work to understand fully. You must read your texts and lecture notes very carefully, thinking about the meaning of every word and every symbol until you have it all clear in your mind. If you just skim instead of reading carefully, the subject will soon become a vague blur in your mind, and you will not make much progress.

Another feature of mathematics is the way that each topic builds on knowledge of the previous material. If you don't have a really firm grasp of earlier material, you will not be able to grasp later parts of the course.

It is essential to practice doing mathematics, in order to build speed and confidence in mathematical techniques; that is an important part of this unit. Think of it as like training for a sport: if you don't do training and practice, you can't expect to perform well. We provide you with exercises to do; you should work them carefully. If you get stuck with a question, it is helpful to go back to your lecture notes and textbook: make sure that you understand the mathematical ideas behind the question, and then look for worked examples that might help.

We encourage you to discuss the exercises with other students - working in small groups is fun, and is a good way of learning. But the work that you hand in should be your own write-up, even if some of the ideas were generated in group discussion.

Tutorials and, to a lesser extent, problems classes give you a chance to discuss detailed difficulties you have in working the exercises or understanding the material from the lectures. You can also discuss more general issues of how to approach studying mathematics: the kind of issue discussed in the previous few paragraphs. Tutorials are an essential part of our teaching - make the most of them, by bringing up points for discussion which will help you in mastering the course.

Calculators

Don't feel that you have to buy a graphics calculator - they are not essential, and graphic calculators may not be used in the examination. An ordinary scientific calculator (cost from £6) is sufficient and only calculators of an approved type (non-programmable, no text facility) are allowed in examinations.