Course Description

Course CodeCourse NameCreditsHours
3735009 Data Pattern Recognition and Classification 3.0 3
Description This course covers the basic and advanced concepts and techniques of data analytics and how to apply them to large-scale data sets. Mainly, after a review of descriptive statistics, probability distributions, inferential statistics (estimation and hypothesis tests), and regression analysis, various machine learning techniques such as PCA, ICA, discriminant analysis, cluster analysis, SVM, random forest, artificial neural network, DTW, EMD will be dealt. Also, this course will show you how to use the popular and powerful data analysis language, that is, R, to solve many practical problems based on use cases extracted from real domains.