Doctor of Philosophy
On This Page
Applications to the Ph.D. program and all required supporting documents must be received by December 15, 2009. See http://icme.stanford.edu /admissions/ for up-to-date information. Prospective graduate students should see http://gradadmissions.stanford.edu for information and application materials. Applicants should take the Graduate Record Examination by October of the year the application is submitted.
Admission to the Ph.D. program does not imply that the student is a candidate for the Ph.D. degree. Advancement to candidacy requires superior academic achievement and passing the qualifying examination.
Requirements:
1. Complete a minimum of 135 units of residency at Stanford, including:
a) 45 units from the master’s program,
b) 27 units of focused electives in an area planned with the student’s Ph.D. adviser; 12 of these units should come from specialized electives with significant computational content such as CME 320-380 series; the focused and specialized elective part of the iCME program is meant to be broad and inclusive of relevant courses of comparable rigor to iCME courses. The elective course list below represents automatically accepted electives within the program but is not limited to the list below, and the list is expanded on a continuing basis; the student’s iCME adviser can accept Courses outside this list as electives subject to approval.
c) 60 units of thesis research
d) 3 units of free electives
2. Maintain a grade point average (GPA) of 3.5
3. Pass the qualifying examination administered by iCME
4. Complete an approved program of original research
5. Complete a written dissertation based on research
6. Pass the oral examination that is a defense of the dissertation research
Elective List—See requirement 1b above.
CEE 362G. Stochastic Inverse Modeling and Data Assimilation Methods
CS 221. AI: Principles and Techniques
CS 228. Probabilistic Models in AI
CS 229. Machine Learning
CS 268. Geometric Algorithms
CS 348A. Computer Graphics: Geometric Modeling
EE 256. Numerical Electromagnetics
EE 363. Linear Dynamical Systems
EE364A,B. Convex Optimization I,II
EE 368. Digital Image Processing
MATH 221. Mathematical Methods of Imaging
MATH 227. Partial Differential Equations and Diffusion Processes
MATH 236. Introduction to Stochastic Differential Equations
MATH 237. Stochastic Equations and Random Media
MATH 238. Mathematical Finance
ME 335A/B. Finite Element Analysis
ME 335C. Introduction to Boundary Element Analysis
ME 351A/B. Fluid Mechanics
ME 361. Turbulence
ME 408. Spectral Methods in Computational Physics
ME 412. Engineering Functional Analysis and Finite Elements
MS&E 238. Network Structures and Analysis
MS&E 319. Approximation Algorithms
MS&E 336. Topics in Game Theory with Engineering Applications
STATS 360B. Methods of Applied StatisticsFINANCIAL ASSISTANCE
The department awards a limited number of fellowships, course assistantships, and research assistantships to incoming graduate students. Applying for such assistance is part of submitting the application for admission to the program. Students are appointed for half-time assistantships which provides a tuition scholarship at the 8, 9, 10 unit rate during the academic year and a monthly stipend. Half-time appointments generally require 20 hours of work per week. Most course assistantships and research assistantships are awarded to students in the doctoral program in iCME. If the number of Ph.D. students is not sufficient to staff all course and research assistantship positions available, these positions may be open to master's students. However, master's students are not guaranteed financial assistance.