Stanford Root

Schedule

Stanford Root

Schedule

CME 204

Partial Differential Equations in Engineering (ME 300B)

UNITS:3
GRADING:Letter or Credit/No Credit
LEVEL:Graduate
GER:—

Geometric interpretation of partial differential equation (PDE) characteristics; solution of first order PDEs and classification of second-order PDEs; self-similarity; separation of variables as applied to parabolic, hyperbolic, and elliptic PDEs; special functions; eigenfunction expansions; the method of characteristics. If time permits, Fourier integrals and transforms, Laplace transforms. Prerequisite: CME 200/ME 300A, equivalent, or consent of instructor.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 1871
0 / 100 enrolled
DAYS:Tuesday, Thursday
TIME:1:30 PM – 2:50 PM
LOCATION:TBD
INSTRUCTOR:
Lele, Sanjiva
3units

CME 204: Partial Differential Equations in Engineering (ME 300B)

3 units · Letter or Credit/No Credit

Geometric interpretation of partial differential equation (PDE) characteristics; solution of first order PDEs and classification of second-order PDEs; self-similarity; separation of variables as applied to parabolic, hyperbolic, and elliptic PDEs; special functions; eigenfunction expansions; the method of characteristics. If time permits, Fourier integrals and transforms, Laplace transforms. Prerequisite: CME 200/ME 300A, equivalent, or consent of instructor.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — Tuesday Thursday 1:30 PM – 2:50 PM — Lele, Sanjiva (Graduate)

More CME courses

  • CME 106: Introduction to Probability and Statistics for Engineers (ENGR 155C)
  • CME 106ACE: Introduction to Probability and Statistics for Engineers
  • CME 108: Introduction to Scientific Computing with Machine Learning Applications
  • CME 192: MATLAB for Scientific Computing and Engineering
  • CME 193: Introduction to Scientific Python
  • CME 200: Linear Algebra with Application to Engineering Computations (ME 300A)
  • CME 206: Introduction to Numerical Methods for Engineering (ME 300C)
  • CME 209: Mathematical Modeling of Biological Systems (BIOE 209)
  • CME 212: Programming for performance
  • CME 213: Introduction to parallel computing using MPI, openMP, and CUDA (ME 339)
  • CME 215: Machine Learning and the Physical Sciences (GEOPHYS 148, GEOPHYS 248)
  • CME 222: Engineering Design Optimization (AA 222, CS 361)

All CME courses · All departments