BIOE 210: Spring 2019
Linear Algebra for Biomedical Data Science
Course Materials
- Syllabus (including course policies and office hours)
- Linear Algebra: An Introduction to Data Science
- Assignments
Schedule
- Tu 01/15: Notation, linearity, and field axioms (0.1; 1.1-1.5)
- Th 01/17: Norms and dot products (1.6-1.8)
- Tu 01/22: Matrix multiplication and linear systems (2.1-2.4)
- Th 01/24: Gaussian elimination (2.5-2.7)
- Tu 01/29: Finite difference method (3)
- Th 01/31: Matix inverse (4.1-4.6)
- Tu 02/05: Rank and solvability (4.7-4.8)
- Exam 1: Th 02/07, in class (Chapters 0-4)
- Tu 02/12: no class
- Th 02/14: Optimization and convexity (5.1-5.2)
- Tu 02/19: Lines and hyperplanes (5.3-5.4)
- Th 02/21: Support vector machines (6)
- Tu 02/26: Basis vectors (7.1-7.4)
- Th 02/28: Orthogonality (7.5)
- Tu 03/05: Eigenvalues and eigenvectors I (8.1-8.3)
- Tu 03/07: Eigenvalues and eigenvectors II (8.4-8.5)
- Th 03/12: Singular value decomposition (9)
- Exam 2: Th 03/14, in class (Chapters 5-8)
- Tu 03/26: SVD and low rank approximations
- Th 03/28: Principal Component Analysis
- Tu 04/02: Linear Models and Regression I (10.1-10.2)
- Th 04/04: Linear Models and Regression II (10.3)
- Tu 04/09: Applied Linear Regression I (11)
- Th 04/11: Applied Linear Regression II (11)
- Tu 04/16: Logistic Regression
- Th 04/18: The LASSO
- Tu 04/23: Translation Matrices (Notes)
- Th 04/25: Nonlinear Systems (12)
- Exam 3: Tu 04/30, in class