1 A Brief Review of Matrices and Vectors 1.1 Matrices 1.2 Vectors and Vector Spaces 1.3 Eigenvalues and Eigenvectors 2 A Brief Review of Probability and Random Variables 2.1 Sets and Set Operations 2.2 Relative Frequency and Probability 2.3 Random Variables 2.4 Expected Value and Moments 2.5 The Gaussian Probability Density Function 2.6 Several Random Variables 2.7 The Multivariate Gaussian Density 2.8 Linear Transformations of Random Vectors 3 A Brief Overview of Linear Systems 3.1 Introductory De®nitions 3.2 Linear System Characterization-Convolution
1) Introduction – Swinburne, Australia 2) Open access – many kinds 3) Open access and libraries 4) Repositories - what they are 5) Repositories and open access 6) What else can a repository do? 7) Making repositories work
• Section 1: The need for a protocol architecture • Section 2: TCP/IP protocol architecture • Section 3: OSI model Learning outcomes: Describe the network protocol architectures and reference models