BME 230B Applied Engineering Mathematics II (2016-2017)

BME 230B Applied Engineering Mathematics II

(Not required for any major.)
Catalog Data:

BME 230B Applied Engineering Mathematics II (Credit Units: 4) Focuses on biomedical system identification. Includes fundamental techniques of model building and testing such as formulation, solution of governing equations, sensitivity theory, identifiability theory, and uncertainty analysis. Graduate students only. (Design units: 0)

Required Textbook:
None
Recommended Textbook:
. Edition, , 1969, ISBN-13 978-0521880688 .

References:

None.

Coordinator:
Frithjof Kruggel
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:

1. This course will provide graduate students in Biomedical Engineering with the knowledge and understanding for analyzing and simulating biomedical systems.

2. Define computational problems in BME.

3. Understand numerical techniques typically encountered in biomedical research.

4. Formulate solutions as algorithms.

5. Translate algorithms into a computational tool.

6. Use tools for solving computational problems.

7. Document the problem identification, design and solution.

Prerequisites by Topic

Math (Linear Algebra, Differentiation, Integration, Solution of PDEs), Basic Statistics, Computer Literacy (experience in solving mathematical problems on a computer)

Lecture Topics:
  • Introduction, Mathematical Preliminaries
  • Basic Statistics I
  • Applied Statistics: Functional MRI
  • Basic Statistics II, Least Square Estimation
  • Solving Linear Algebraic Equations
  • Shape Analysis by Spherical Harmonics
  • Nonlinear Least Squares Estimation
  • Nonlinear Least Squares Example
  • Interpolation and Extrapolation
  • Compartment Models
  • Image Registration
  • Solving Partial Differential Equations I
  • Solving PDEs: Three Examples
  • Motion Estimation
  • Finite Element Analysis I
  • Finite Element Modeling II
  • Clinical Simulation using FEA
Class Schedule:

Meets for 3 hours of lecture each week for 10 weeks.

Computer Usage:

Homework involves writing simple programs (e.g., R, Python, Matlab, etc.)

Laboratory Projects:

None.

Professional Component

None.

Design Content Description
Approach:

None.

Lectures:
Laboratory Portion:
Grading Criteria:
  • Homework: 50%
  • Midterm: 25%
  • Final: 25%
  • Total: 100%
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units

Prepared:
July 12, 2016
Senate Approved:
April 25, 2014
Approved Effective:
2014 Fall Qtr