This workshop aims to provide students with a practical understanding of basic concepts and how to apply them to real engineering problems.
Deakin University, Geelong Waurn Ponds Campus, KC1.001
75 Pigdons Road Waurn Ponds, VIC 3216 AustraliaTopics that will be covered include:
DATA MODELING
Data Encoding
Data domain –predictive coding, Huffman
Transform domains - Fourier, wavelets
Data Reduction
Principle Components Analysis (PCA)
Singular Valued Decomposition (SVD)
Data Factorization
Linear Model: Regression and Analysis of Variance (ANOVA)
Generalized Linear Model: Canonical Correlation, Ridge, Logistic Regression
Clustering and Classification
Non-parametric
Parametric
MULTIVARIATE TIME SERIES
Time Series
Autoregressive Moving average (ARMA)
Autoregressive Integrated Moving Average (ARIMA)
Hidden Markov Models (HMM)
Estimation – Baum Welch
Prediction – Viterbi algorithm
BAYESIAN STATISTICS AND INFERENCE
Basic Bayesian Statistics
Bayesian Networks
Bayesian Inference
Over the four days there will be morning lectures and tutorials in the afternoons,
commencing at 10am and finishing by 3pm each day. The workshop will have a
prerequisite of basic MATLAB knowledge and will consist of 20hrs across lectures and
laboratory work. Students will be required to attend the full 20 hrs and will require a
computer and MATLAB software. All successful students will be provided with a
certificate of completion after passing an evaluation at the end of the workshop.