Courses in Bioinformatics, Machine Learning, Data Mining, Data Science, and Computer Science

• Machine Learning for Bioinformatics (Spring 2007, 2008, 2009, 2010, Fall 2012, Fall 2016)
• Data Mining and Knowledge Discovery (Spring, 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2016, Spring 2017)
• Supervised Machine Learning (Fall 2011, Fall 2015)
• Computational Optimization Methods (Fall, 2013, Fall, 2014)
• Computational Modeling of Molecular Structures (Spring, 2013, Spring 2014, Spring 2016)
• Introduction to Bioinformatics (Fall, 2006)
• Problem Solving in Bioinformatics (Fall, 2009, Fall, 2011)
• Bioinformatics Tools and Applications (joint teaching, 2009 (Spring), 2010, 2011, 2012 Part 1 - protein structure prediction, 2012 Part 2 - protein function prediction)
• Molecular Biology II (joint teaching, sequence alignment and search and microarray gene expression data analysis, Spring 2011, RNA-seq data analysis, Spring 2012)
• Introduction to Computer Science (Fall, 2007)
• Programming in C (Fall, 2008, Spring 2010)
• Computer Science Senior Capstone II (Fall, 2009; Fall, 2010)