Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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SKI~O<br />
Computing for Chemists<br />
10 credit points<br />
No. <strong>of</strong> hours per week: five hours<br />
Subject description<br />
This is an introductory course in computing for students<br />
majoring in chemistry. Computing dominates the modern day<br />
practice <strong>of</strong> chemistry from computer-aided automation in the<br />
laboratory to scientific research involving supercomputers. The<br />
aim <strong>of</strong> this course is to provide a good foundation in<br />
computing principles. No previous computing knowledge is<br />
assumed. An introduction to both computers and the DOS<br />
operation system is presented. A programming language,<br />
currently QBASIC, is introduced and applied to solve problems<br />
typically encountered in chemistry.<br />
~ ~ 2 9 0 Computer Science<br />
10 credit points<br />
No. <strong>of</strong> hours per week: five hours<br />
Subject description<br />
This is an introductory course in computing for students<br />
majoring in the physical sciences. Computing dominates the<br />
modern day practice <strong>of</strong> physics and chemistry from computeraided<br />
automation in the laboratory to scientific research<br />
involving supercomputers. The aim <strong>of</strong> this course is to provide<br />
a good foundation in computing principles. No previous<br />
computing knowledge is assumed. An introduction to both<br />
$1<br />
% computers and the DOS operating system is presented. A<br />
programming language, currently QBASIC or C, is introduced<br />
and applied to solve problems typically encountered by physical<br />
$ scientists.<br />
rn<br />
a<br />
ID<br />
S.<br />
~~2100 Applied Computing Methods<br />
2 7.5 credit points<br />
la No. <strong>of</strong> hours per week: two hours<br />
w<br />
3 Instruction: a combination <strong>of</strong> lecture and tutorial<br />
a<br />
sessions<br />
k'2.<br />
a<br />
Assessment: assignments and examination<br />
2 Subiect description<br />
s<strong>of</strong>tware tools: an introduction to the main s<strong>of</strong>tware tools<br />
encountered by environmental health specialists - job<br />
command languages, editors, word processors, spreadsheets,<br />
etc.<br />
Computer s<strong>of</strong>tware: an introduction to the use <strong>of</strong> micros<strong>of</strong>t<br />
works, illustrated by the use <strong>of</strong> case studies.<br />
Computer hardware: an introduction to micro/mini computer<br />
hardware architecture including peripheral devices,<br />
communications, sub-systems and current technology I/O<br />
systems (graphics, OCR).<br />
~ ~ 1 0 6 Mathematics<br />
7.5 credit points<br />
No. <strong>of</strong> hours per week: three hours<br />
Assessment: examination and assignment<br />
Subject description<br />
Functions and graphs<br />
Basic functions: polynomials <strong>of</strong> degree one (linear functions),<br />
polynomials <strong>of</strong> degree two (quadratic functions), polynomials<br />
<strong>of</strong> dearee N2. Roots and factors <strong>of</strong> ~olvnomials. Linear<br />
interpolation and extrapolation. ~itt'in~~ol~nomials to data.<br />
Functions for science: exponential growth function, power<br />
series representation <strong>of</strong> e x , approximations for small x. Index<br />
laws. Graph <strong>of</strong> y &e x . Decay function. Hyperbolic functions.<br />
Fitting exponential functions to data.<br />
Trigonometric functions: degrees and radius. Amplitude,<br />
period, frequency, phase angle.<br />
Inverse functions: composite functions. Logarithms. Inverse<br />
trigonometric functions.<br />
Other functions: the function f & llx. Limits and continuity,<br />
Quotients <strong>of</strong> polynomials. Asymptotes.<br />
Differentiation<br />
Rates <strong>of</strong> change. Notation. Basic functions and their<br />
derivatives. Rules <strong>of</strong> differentiation: Product rule, chain rule,<br />
quotient rule. Higher derivatives. Stationary points: Maxima,<br />
minima, and points <strong>of</strong> inflexion.<br />
lntegration<br />
Integrals as limits <strong>of</strong> sums. Evaluating integrals <strong>of</strong> basic<br />
functions. Substitution methods. Integration by parts.<br />
First-order ordinary differential equations<br />
Variables separable. Linear.<br />
Matrices<br />
Determinants. Inverses <strong>of</strong> matrices. Solution <strong>of</strong> simultaneous<br />
linear equations.<br />
Vectors<br />
Components, addition, unit vector, position vectors. Scalar and<br />
vector products. Applications: work done, moment <strong>of</strong> force.<br />
Statistics<br />
Mean and standard deviation. Linear regression in fitting<br />
functions to data.<br />
In this subject students learn to use a graphics calculator to<br />
solve problems in functions, graphs, differentiation, matrices,<br />
vectors and statistics.<br />
Prescribed text:<br />
Berry, J., Norcliffe, A. and Humble, S. Introductory Mathematics<br />
Through Science Applications. Cambridge, Cambridge <strong>University</strong> Press,<br />
1989.<br />
Prescribed calculators:<br />
Texas Instruments Advanced Scientific (TI-82) graphics calculator.<br />
SMI 1 o<br />
Mathematical Methods<br />
7.5 credit points<br />
No. <strong>of</strong> hours per week: three hours<br />
Assessment: testslexamination and assignments<br />
Subject description<br />
Calculations<br />
Reviews <strong>of</strong> basic mathematical operations; illustrations from<br />
environmental and health applications. Use <strong>of</strong> electronic<br />
calculator.<br />
Numerical methods<br />
Introduction to numerical methods: errors and their<br />
propagation, including rounding errors and loss <strong>of</strong> significance.<br />
Solution <strong>of</strong> equations in one variable; numerical solution <strong>of</strong><br />
non-linear equations by iterative methods (bisection, false<br />
position, secants, simple iteration, Newton-Raphson).<br />
Linear algebra<br />
Matrices and matrix algebra; determinants and their<br />
evaluation. Systems <strong>of</strong> linear equations: Gaussian elimination;<br />
matrix inversion; procedures for numerical solution by direct or<br />
iterative methods.