Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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Chemical periodicity.<br />
Weak bonding interactions: dipole, hydrogen and Van der<br />
Waal's.<br />
Stoichiometry: mass-mass; mass-volume; colume-volume and<br />
redox calculations.<br />
Thermochemistry: rates <strong>of</strong> chemical reactions.<br />
Equilibria: acidlbase, redox solubility, complexation,<br />
speciation.<br />
Practical work: Chemical reactions, titrations, pH<br />
measurement. Equilibria.<br />
SC3400 bod Processing and Analysis<br />
8.5 credit points<br />
No. <strong>of</strong> hours per week: four hours<br />
A second year subject <strong>of</strong> the degree course in environmental<br />
health.<br />
Subject description<br />
Food processing: introduction to processes used in the food<br />
industries for the preparation and processing <strong>of</strong> foods.<br />
Problems or potential problems associated with those<br />
processes that have implications for community health.<br />
Food chemistry: techniques used in the determination <strong>of</strong> the<br />
amounts <strong>of</strong> carbohydrate, protein and lipid in foods.<br />
Determination <strong>of</strong> the amounts <strong>of</strong> micronutrients in foods.<br />
Methods used for determining the water content <strong>of</strong> foods.<br />
Determination <strong>of</strong> the calorie or joule contents <strong>of</strong> foods.<br />
Other manual and instrumental techniques used in food<br />
analysis (e.g. determination <strong>of</strong> sulphur dioxide). Chemical<br />
additiws to food will be considered under the following<br />
headings: chemical classes <strong>of</strong> food additives, historical<br />
aspects, permitted compounds, reasons for use, function,<br />
advantages, disadvantages, breakdown pathways. toxicity<br />
testing, regulations controlling use.<br />
Classes <strong>of</strong> chemical additiws to be considered will include<br />
the following: prese~atives, antioxidants, flavouring<br />
compounds, colouring compounds, sweetening agents,<br />
flavour enhancers, nutrients, emulsifiers.<br />
Natural hazards associated with food.<br />
Practical work: Experiments in food analysis - two hours per<br />
week.<br />
SKI90 Computing for Chemists<br />
10.0 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<br />
day practice <strong>of</strong> chemistry from computer-aided automation<br />
in the laboratory to scientific research involving<br />
supercomputers. The aim <strong>of</strong> this course is to provide a good<br />
foundation in computing principles. No previous computing<br />
knowledge is assumed. An introduction to both computers<br />
and the DOS operation system is presented. A programming<br />
language, currently QBASIC, is introduced and applied to<br />
solve problems typically encountered in chemistry.<br />
SK290 Computer Science<br />
8.5 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<br />
computer-aided automation in the laboratory to scientific<br />
research involving supercomputers. The aim <strong>of</strong> this course is<br />
to provide a good foundation in computing principles. No<br />
previous computing knowledge is assumed. An introduction<br />
to both computers and the DOS operating system is<br />
presented. A programming language, currently QBASIC or C,<br />
is introduced and applied to solve problems typically<br />
encountered by physical scientists.<br />
SK2100 Applied Computing Methods<br />
7.5 credit points<br />
No. <strong>of</strong> hours per week: two hours<br />
Instruction: a combination <strong>of</strong> lecture and tutorial<br />
sessions<br />
Assessment: assignments and examination<br />
A first-year subject <strong>of</strong> the degree course in environmental<br />
health.<br />
Subject 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 microlmini computer<br />
hardware architecture including peripheral devices.<br />
communications, sub-systems and current technology I10<br />
systems (graphics, OCR).<br />
SM 106 Mathematics<br />
7.5 credit points<br />
No. <strong>of</strong> hours per week: three hours<br />
Assessment: examination and assignment<br />
A first-year subject in the degree course in psychology and<br />
psychophysiology.<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> degree N2. Roots and factors <strong>of</strong> polynomials. Linear<br />
interpolation and extrapolation. Fitting polynomials to data.<br />
Functions for science: exponential growth function, power<br />
series representation <strong>of</strong> e", 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 = lk. 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 />
Integration<br />
Integrals as limits <strong>of</strong> sums. Evaluating integrals <strong>of</strong> basic<br />
functions. Substitution methods. lntegration 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<br />
and vector products. Applications: work done, moment <strong>of</strong><br />
force.