BMI 500: Introduction to Ethical Data Science and Informatics
This course covers the basics of data science techniques needed for informatics, with a strong focus on ethics, equity, standards, and security.
3 credit hours
BMI 510: Biostatistics for Machine Learning
Introduction to the description and analysis of clinical data, including fundamental results in statistical inference and probability.
4 credit hours
BMI 520: Practical Computing for Informatics
Introduction to computational skills for effectively conducting informatics research, including relevant programming languages, data formats, and computing techniques.
3 credit hours
BMI 532: Model-Based Machine Learning
Mathematical modeling for biomedical machine learning applications, including model design, identifiability, assessment and selection.
3 credit hours
BMI 534: Introduction to Machine Learning
Fundamental machine learning theory and techniques. Often cross-listed as CS 534 and/or BIOS 534.
3 credit hours
BMI 536: Introduction to Deep Learning
Fundamental deep learning theory and techniques.
3 credit hours
BMI 539: Topics in Machine Learning
Topics in machine learning, depending on faculty and student interest.
3 credit hours
BMI 540: Time Series Analysis and Modeling
Introduction to concepts and methodologies in time-series analysis and modeling, including univariate and multivariate time series and linear and nonlinear techniques.
3 credit hours
BMI 550: Applied Biomedical Natural Language Processing
End-to-end natural language processing applications for biomedical texts
3 credit hours
BMI 555: Computational Methods for Biomedical Image Analysis
Biomedical image analysis, including reading, processing, analyzing, and using images for scientific discovery and biomedical applications.
3 credit hours
BMI 562: Cancer Single Cell Analytics
Introduction to analytical techniques for single-cell RNA-sequencing data in cancer, including experimental protocols, data processing, computational analyses.
3 credit hours
BMI 585: Topics in Biomedical Informatics
This is a special topics course in Biomedical Informatics.
Various credit hours
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