Syllabus

Key information #

Instructor Prashant K. Jha
Email prashant.jha@austin.utexas.edu, pjha.sci@gmail.com
Title of course Introduction to Numerical Methods in Biomedical Engineering
Course unique number 15040, 15045, 15050
Office hours Wednesday 6:00 - 7:30 pm, Thursday 6:00 - 7:30 pm
Lecture room BUR 216, map: 2505 University Ave, Austin, TX 78712
Lecture time MWF 11:00 am - 12:00 pm
Canvas webpage Canvas
Github repository BME-313L-Fall2021

Syllabus pdf #

Download from this link

Teaching assistants #

TA: Chungmin Han (cmhan616@utexas.edu)

Office hours: TBA

Learning assistants #

  1. Maria Amador
  2. Parth Malaviya
  3. Sung Jung

Textbook #

We will use the following book as a main reference

Applied Numerical Methods with Matlab for Engineers & Scientists by Steven C. Chapra. 3rd Ed., McGraw-Hill, 2012

Note: 3rd and 4th editions are somewhat syllabus so you could also use 4th edition of the book, however, instructor and TA/LA will use 3rd edition is main reference.

Assignment, exams, and grading policy #

These are discussed here

Topics to be covered #

Topic number Topic Chapters in reference Number of lectures
1 Introduction to MATLAB 2, 3 4
2 Sources of Error in Computer Arithmetic and Algorithms 4 1
3 Roots and optimization 5, 6, 7 4
4 Linear system of equations 8, 9, 12 6
5 Eigenvalues and eigenvectors 13 3
6 Regression, curve fitting, least squares 14, 15 3
7 Polynomial Interpolation 17 3
8 Numerical integration 19, 20 3
9 Numerical differentiation 21 3
10 Numerical methods for differential equations 22, 24 4
11 Brief introduction to Artificial Neural Networks and their applications 3 - 4

Lecture plans and important dates #

See the details in this syllabus pdf file: syllabus pdf.