Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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Functions <strong>of</strong> many variables<br />
Partial differentiation and applications: differentials and<br />
approximations; optimisation and applications (including least<br />
squares) with first and second derivative tests.<br />
Data presentation and analysis<br />
Frequency distributions: tabulation; graphical presentation;<br />
measures <strong>of</strong> central tendency and <strong>of</strong> dispersion; measures <strong>of</strong><br />
association.<br />
Probability<br />
Definitions and concepts <strong>of</strong> probability: calculation using<br />
addition and product-rules; conditional probability and<br />
independence.<br />
Probability distributions; discrete variates, including binomial,<br />
Poisson and hypergeometric distributions; continuous<br />
variates, including normal distribution; mean and variance.<br />
lntroduction to hypothesis tests and confidence intervals for<br />
means and correlation coefficients using the t distribution.<br />
Textbooks<br />
Hunt, R.A., Calculus with Analytic Geometry. New York: Harper and<br />
Row, 1988<br />
Prescribed Calculator:<br />
Texas Instruments Advanced Scientific TI-81 Graphics Calculator<br />
SMI 208 Mathematics<br />
10.0 credit points in semester one and 8.0 credit<br />
points in semester two<br />
No. <strong>of</strong> hours per week: five hours in semester<br />
one and four hours in semester two<br />
Assessment: tests, examination and assignments<br />
A first-year subject <strong>of</strong> the degree courses in computer-aided<br />
chemistry and computer-aided biochemistry.<br />
Subject description<br />
Vectors<br />
Veaors in 2 and 3 dimensions. Dot and cross products <strong>of</strong> 2<br />
vectors in space and applications.<br />
Numerical calculations<br />
Introduction to numerical methods. Errors and their<br />
propagation. Numerical solution <strong>of</strong> equations by graphical<br />
and iterative methods. Elementary combinatorial analysis;<br />
counting selections and arrangements.<br />
Plane analytic geometry<br />
Coordinate geometry in Cartesian coordinates; graphs <strong>of</strong><br />
linear, polynomial, rational and power functions and <strong>of</strong> conic<br />
sections.<br />
Functions <strong>of</strong> one variable<br />
Standard functions and their graphs. Finite and infinite<br />
limits; continuity.<br />
Calculus<br />
Differentiation: geometric interpretation; derivatives <strong>of</strong><br />
standard functions; product, quotient and chain rules;<br />
implicit differentiation.<br />
Applications <strong>of</strong> differentiation: graph sketching; related rates;<br />
obimisation: differentials and a~~roximations;<br />
. . . Tavlor .<br />
polynomials;. LIHopital's rule.<br />
Integration: definite and indefinite integrals and their<br />
interpretations; integrals <strong>of</strong> standard functions; integration by<br />
substitution and by parts; improper integrals; systematic<br />
integration <strong>of</strong> rational functions and <strong>of</strong> products <strong>of</strong><br />
trigonometric functions. Numerical integration.<br />
Applications <strong>of</strong> integration: areas, volumes, lengths <strong>of</strong> curves<br />
and surface areas <strong>of</strong> surfaces <strong>of</strong> revolution; integrals <strong>of</strong> rates<br />
<strong>of</strong> change.<br />
Linear algebra<br />
Matrices, determinants and the solution <strong>of</strong> systems <strong>of</strong> linear<br />
equations.<br />
First order differential equations<br />
The solution <strong>of</strong> separable first order differential equations<br />
with applications.<br />
Functions <strong>of</strong> several variables<br />
Partial differentiation; differentials and approximations; an<br />
introduction to optimisation.<br />
Descriptive statistics<br />
Numerical and graphical methods for summarising and<br />
presenting data. Cross- tabulation.<br />
The MINITAB computer package is used in the statistical<br />
studies.<br />
Probability<br />
Probability and probability distributions such as binomial,<br />
Poisson and normal.<br />
Inferential statistics<br />
Hypothesis tests and confidence intervals for means,<br />
proportions and variances using the t, chi-square and F<br />
distributions.<br />
Regression and correlation<br />
Scatterplots, the Pearson correlation coefficient, and linear<br />
least squares regression for one predictor. Applications to<br />
analytical chemistry.<br />
Textbooks<br />
Hunt, R.A. Calculus with Analytic Geomety NRN York: Harper and<br />
ROW, 1988<br />
Prescribed calculator<br />
Texas Instruments Advanced Scientific TI-81 Graphics Calculator<br />
SM 1210<br />
Mathematics<br />
12.5 credit points in semester one and 7.5 credit<br />
points in semester two<br />
No. <strong>of</strong> hours per week: five hours in semester<br />
one and three hours in semester two<br />
Assessment: tests, examinations and assignments<br />
A first-year subject <strong>of</strong> the degree courses in mathematics<br />
and computer science and s<strong>of</strong>tware engineering.<br />
Subject description<br />
Analytic geometry<br />
Vectors in 2- and 3-dimensional space: dot and cross<br />
products, and resolution. Plane coordinate geometry.<br />
Coordinate geometry in Cartesian coordinates; graphs <strong>of</strong><br />
linear, polynomial, rational and power functions and <strong>of</strong> conic<br />
sections.<br />
Numerical calculations<br />
lntroduction to numerical methods. Errors and their<br />
propagation. Numerical solution <strong>of</strong> equations by graphical<br />
and iterative methods. Elementary combinatorial analysis;<br />
counting selections and arrangements.<br />
Functions <strong>of</strong> one variable<br />
Standard functions and their graphs. Finite and infinite<br />
limits; continuity.<br />
Calculus<br />
Differentiation: geometric interpretation; derivatives <strong>of</strong><br />
standard functions: product, quotient and chain rules;<br />
implicit differentiation.<br />
Applications <strong>of</strong> differentiation: graph sketching; related rates;<br />
optimisation; differentials and approximations; Taylor<br />
polynomials; L'Hapital's rule.<br />
Integration: definie and indefinite integrals and their<br />
interpretations; integrals <strong>of</strong> standard functions; integration by<br />
substitution and by parts; improper integrals; systematic<br />
integration <strong>of</strong> rational functions and <strong>of</strong> products <strong>of</strong><br />
trigonometric functions. Numerical integration.<br />
Applications <strong>of</strong> integration: areas, volumes, lengths <strong>of</strong> curves<br />
and surface areas <strong>of</strong> surfaces <strong>of</strong> revolution; integrals <strong>of</strong> rates<br />
<strong>of</strong> change.