School of Mathematics School of Mathematics
Course 1S3 - Mathematics for Science students 2000-01 (JF Mathematics as a whole subject within the Natural Science Moderatorships. JF Human Genetics. JF Computational Physics and Chemistry. JF Medicinal Chemistry. JF Physics & Chemistry of Advanced Materials. )
Lecturer: Dr. R. M. Timoney
Requirements/prerequisites: None

Duration:
Number of lectures per week: 2 lectures per week in Michaelmas Term, 2.5 in Hilary and Trinity Terms, plus a tutorial every third week.
Assessment: Practical work, assignments, tutorial work and 061 assignment results will count for 1/4 of the marks, with the paper counting for the remaining 3/4.

End-of-year Examination: Three hour exam. Result is combined with results of 1S1 and 1S2/4.

Description:

• Introduction to computing
Binary, octal and hexadecimal integers; storage of integers and floating point numbers in computers (via bits).

• Introduction to symbolic computing
Use of a computer algebra system. Facilities of the system for elementary number theory and algebra. Elementary facilities for differentiation, integration and differential equations. Plotting and the mathematical basis. User defined functions.

Anton (Calculus): 1.3, Chapter 5, exercises in Chapter 2-3, 7-10 marked CAS or `graphing calculator'. Mathematica book Part 1 (less than what is in section 1.1-1.9).

• Differential Calculus
Maxima and minima and plotting (with the aid of symbolic computation); parametric plots. Linear approximation, root finding using Newton's method.

Anton (Calculus): Chapter 5 and 3.6.

• Integration
The concept of a definite integral (area or Riemann sum). Elementary algorithms for computing definite integrals (trapezoidal and Simpson's rules). Fundamental Theorem of Calculus and antiderivatives Techniques of integration and standard applications (backed up by practical work using computer algebra).

Anton (Calculus): 7.1, 7.5-7.7, 8.1-8.4, 8.6.

• An introduction to probability and statistics
The notion of a probability on a sample space, mean and standard deviation for random variables, sample mean and sample variance, the binomial, poisson and normal distributions.

Kreysig: 22.1-22.3, 22.5-22.8.

There is a web page for this part of the course, which is upmydated during the year. The address is http://www.maths.tcd.ie/ ~ richardt/1S3

Essential Reference

1. Howard Anton, Calculus: a new horizon (6th edition), Wiley, 1998.

Recommended references

1. Erwin Kreyszig, Advanced Engineering Mathematics, (7th edition) Wiley, 1993.
2. S. Wolfram, Mathematica a system for doing mathematics by computer, Addison-Wesley (3rd edition) 1996, published by Wolfram Media and Cambridge University Press.

3. G. B. Thomas & R.L. Finney, Calculus and Analytic Geometry (9th edition), Addison Wesley, 1996.

Oct 9, 2000

File translated from TEX by TTH, version 2.70.
On 9 Oct 2000, 23:17.