Curriculum At A Glance 2018

Topic	Curriculum	Data Sets	Tools
Text Mining	Introduction to Text Mining Predictive Analysis of Text: Concepts, Instances, and Classifiers Text Representation Feature Selection Naive Bayes Algorithm Instance-Based Learning Algorithm Evaluation Clustering	Training/Testing Training/Testing/Features	Data Preparation LightSIDE Feature_Selection Classification
Genomics	Introduction to Genomics Feature Extraction Omics Pipelines Classification with Dependency
Medical Imaging	Introduction to Visual Systems Modalities Digitization Magnetic Resonance Imaging Applications, Predictions