Mathematics for computer science I
J Jeavons
6 points
* Three 1-hour lectures and one 1-hour tutorial
* First
semester
* Clayton
* Prerequisites: At levels 3 and 4, VCE Mathematical
Methods
* Prohibitions: GAS1601, GAS1611, GAS1613, GAS1631, GAS1641,
MAT1010, MAT1050, MAT1060, MAT1372, MAT1711, MAT1811, MAT1910
Objectives On completion of this subject, students should understand and be able to apply the basic concepts of vectors and matrices; differentiation and integration; and elementary probability theory and statistics.
Synopsis This subject introduces the core concepts needed to apply mathematical analysis to issues in computing. The following topics are introduced. Vectors and matrices: vector algebra, the concept of vector space, matrix algebra, matrix inversion methods, application to linear systems. Calculus: real functions, limits and continuity, derivatives and basic integration methods, solution of elementary optimisation problems. Probability and statistics: elementary probability theory, random variables, probability distributions, expected value, mean and variance, introduction to statistical inference.
Assessment Examination (two hours): 85%
* Assignments: 15%
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