Introduction to medical informatics, Healthcare data sources and basic analytics, Electronic Health Records, Coding Systems, Modalities - Biomedical image analysis, Genomic data analysis, Natural Language Processing and Data Mining for Clinical Text, mining information from clinical text, dealing with medical terminology, MeSH, SNOMED-CT, Advanced Clinical Data Analytics – Clinical Prediction models, supervised and unsupervised applications, Survival models, evaluations and validation, temporal analytics for clinical data, visual analytics for clinical data, Pervasive health, Clinical Decision Support Systems, Towards explainable-AI in medicine, Applications of Big Data and ML in Medical Diagnostics, Case studies and state-of-the-art systems.