• Introduction to programming for biology • Introduction to statistical computing in R • Algorithms for molecular biology • Medical genomics I: genomics of rare and common diseases • Medical genomics II: the cancer genome • Genomics techniques I: sequencing library preparation • Genomics techniques II: genomics data analysis
• Scientific visualization • Probabilistic models for molecular biology • Molecular and cell biology of cancer • Advanced and applied immunology • Stochastic processes • Machine learning • Applied statistics • Advanced probability with applications • Linear modeling • Bayesian Modeling
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