Part 1: Fundamentals Review 1. Arrays and Vectors 2. Matrices 3. Linearity 4. Complex Numbers 5. Vector Spaces Part 2: Methods 6. Systems of Equations 7. Determinants 8. Matrix Inverse and Regression Analysis 9. Gram-Schmidt Process 10. Eigenanalysis 11. Singular Value Decomposition 12. Fundamental Subspaces Part 3: Applications 13. Network Analysis 14. Classification and Feature Selection 15. Bayesian Regression 16. Quantum Computing
Biography
Michael Insana received his PhD in medical physics from the University of Wisconsin – Madison in 1983. He is currently Willett Professor Emeritus in Engineering at the University of Illinois at Urbana-Champaign, where he spent 22 years as faculty in the Departments Bioengineering, Electrical and Computer Engineering, and at the Beckman Institute for Advanced Science and Technology. He was Bioengineering Department Head during the years 2008-2013 and 2017-2019, and Editor-in-Chief of IEEE Transactions on Medical Imaging from 2015-2020. His research focus is medical image science. Michael is a Life Fellow of the IEEE and Fellow of the Institute of Physics, the Acoustical Society of America, and the American Institute of Medical and Biological Engineering.
