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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

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