CBE 20258 - Numerical and Statistical Analysis

Syllabus

Click here to see the course syllabus.

Office Hours

Instructor Teaching Assistants

On-Line Resources


Class Notes

  • Jan. 17, 2017 - What's Numerical & Statistical Analysis all about?
  • Jan. 19, 2017 - Numerical Errors
  • Jan. 24, 2017 - Systems of Equations
  • Jan. 26, 2017 - PLU Factorization
  • Jan. 31, 2017 - QR Factorization
  • Feb. 02, 2017 - Singular Value Decomposition
  • Feb. 07, 2017 - Elementary Statistics and Probability
  • Feb. 09, 2017 - Error Propagation
  • Feb. 14, 2017 - Hypothesis Testing
  • Feb. 16, 2017 - Linear Regression and the Normal Equations
  • Feb. 21, 2017 - Regression Error and Analysis
  • Feb. 23, 2017 - Weighted Regression and Analysis of Residuals
  • Feb. 28, 2017 - Non-Linear Regression
  • Mar. 02, 2017 - Undersampling and the Bootstrap
  • Mar. 07, 2017 - Root Finding in Non-Linear Equations
  • Mar. 09, 2017 - Mid-Term Exam
  • Mar. 14, 2017 - Mid-Semester Break
  • Mar. 16, 2017 - Mid-Semester Break
  • Mar. 21, 2017 - Systems of Non-Linear Equations
  • Mar. 23, 2017 - One-Dimensional Optimization
  • Mar. 28, 2017 - Multi-Dimensional Optimization
  • Mar. 30, 2017 - Constrained Optimization
  • Apr. 04, 2017 - Numerical Quadrature
  • Apr. 06, 2017 - Gaussian Quadrature
  • Apr. 11, 2017 - Adaptive Quadrature
  • Apr. 13, 2017 - Multidimensional Quadrature and Mapping
  • Apr. 18, 2017 - Ordinary Differential Equations
  • Apr. 20, 2017 - Numerical Stability and Implicit Integration Methods
  • Apr. 25, 2017 - Adaptive Step Size Algorithms
  • Apr. 27, 2017 - Matrix Methods and Boundary Value Problems
  • May 02, 2017 - Partial Differential Equations and Sturm-Liouville Boundary Value Problems

  • Tutorials

    This page contains the scripts, functions, and data sets which will be used in the CBE 20258 tutorials.


    Homework Assignments

    These are links to the homeworks organized by due date. We will be alternating assignments developing your algorithm skills (e.g., how you approach problems) and your programming skills (e.g., implementation of the algorithms). Click on a highlighted date to access the homework due that day.



    Examinations