School of Computing prospectus 2012 - Walter Sisulu University
School of Computing prospectus 2012 - Walter Sisulu University
School of Computing prospectus 2012 - Walter Sisulu University
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Content / Syllabus Sets, definitions, examples, operations on sets, complementation and<br />
DeMorgan’s laws. The real number system, graphs <strong>of</strong> linear, quadratic,<br />
polynomial and rational functions, exponential and logarithmic functions,<br />
trigonometric functions, inequalities. Linear systems. Limits, continuity and<br />
differentiability <strong>of</strong> functions <strong>of</strong> a single variable, curve sketching, maxima and<br />
minima, mean value theorems, indeterminate forms.<br />
Assessment Year mark (DP) will be obtained assessments based on assignments and<br />
tests. Final mark will be obtained from the Year Mark (DP) x 40% + Exam<br />
Mark x 60%.<br />
Precalculus & Calculus II<br />
Module Code Module Name NQF Level Credits Semester<br />
MAT1201 Precalculus & Calculus II 5 16 2<br />
Lectures per week Pracs per week Tutorials<br />
per week<br />
4 x 50 min 1 x 100 min 13<br />
37<br />
Number<br />
<strong>of</strong><br />
weeks<br />
Notional<br />
hours<br />
Content / Syllabus Mathematical induction, permutations and combinations, binomial theorem,<br />
complex numbers and polar coordinates. Introduction to integration,<br />
integration <strong>of</strong> simple functions, fundamental theorem <strong>of</strong> integral calculus.<br />
Further techniques <strong>of</strong> integration, introduction to series and sequences, power<br />
series and Taylor polynomials and Taylor’s theorem, introduction to differential<br />
equations (ordinary differential equations <strong>of</strong> first order).<br />
Assessment Year mark (DP) will be obtained assessments based on assignments and<br />
tests. Final mark will be obtained from the Year Mark (DP) x 40% + Exam<br />
Mark x 60%.<br />
Probability & Distributions II<br />
Module Code Module Name NQF Level Credits Semester<br />
STA2101 Probability & Distributions II 6 16 1<br />
Lectures per week Pracs per week Tutorials<br />
per week<br />
4 x 50 min 1 x 100 min 13<br />
Number<br />
<strong>of</strong><br />
weeks<br />
Notional<br />
hours<br />
Content / Syllabus Combinatorial analysis, axioms <strong>of</strong> probability, conditional probability and<br />
stochastic independence. Introduction to the concept <strong>of</strong> a random variable.<br />
More detailed treatment <strong>of</strong> discrete probability distribution, Introduction to<br />
mathematical expectation and moment generating functions, Jointly distributed<br />
random variables, independent random variables, marginal and conditional<br />
distributions. The bivariate normal distribution, Functions <strong>of</strong> random variables;<br />
sums <strong>of</strong> random variables, The central limit theorem. Chebychev’s inequality,<br />
De-Moivre-Laplace theorem. Poisson approximation to the binomial distribution.<br />
Assessment Year mark (DP) will be obtained assessments based on assignments and<br />
tests. Final mark will be obtained from the Year Mark (DP) x 40% + Exam<br />
Mark x 60%.<br />
<strong>2012</strong><br />
PROSPECTUS