Campuses:
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Twin Cities Campus
Scientific Computation Ph.D.Chemical Engineering & Materials Science
College of Science and Engineering
Link to a list of faculty for this program.
Contact Information
Scientific Computation Program, University of Minnesota, 151 Amundson Hall, 421 Washington Ave S.E., Minneapolis, MN 55455 (612-625-6345; fax: 612-626-7246)
Email:
wentz002@umn.edu
Website: http://www.scicomp.umn.edu
Along with the program-specific requirements listed below, please read the
General Information section of
this
website for requirements that apply to all major fields.
The graduate degree program in scientific computation encompasses course work and research on the fundamental principles necessary to use intensive computation to support research in the physical, biological, and social sciences and engineering. There is a special emphasis on research issues, state-of-the-art methods, and the application of these methods to outstanding problems in science, engineering, and other fields that use scientific computation, numerical analysis and algorithm development, symbolic and logic analysis, high-performance computing tools, supercomputing and heterogeneous networks, and visualization.
Program Delivery
Prerequisites for Admission
A bachelor's degree in a field that uses scientific computation is required for admission.
Other requirements to be completed before admission:
All application materials must be submitted electronically through the online Graduate Admissions system. Three letters of recommendation and a statement of research and career goals are required for all applications. GRE General Test scores are required for consideration of financial support and recommended for all applicants. International applicants are required to submit TOEFL scores.
January 1 is the application deadline for applicants who wish to be considered for financial aid. Applications received after January 1 will be considered on a space and funds available basis.
Applicants must submit their test score(s) from the following:
International applicants must submit score(s) from one of the following tests:
Key to test
abbreviations
(GRE, TOEFL, IELTS, MELAB).
For an online application or for more information about graduate education admissions, see the
General Information section of this
website.
Program Requirements
12
credits are required in the major.
12 credits are required outside the major. 24 thesis credits are required.
This program may be completed with a minor.
Use of 4xxx courses toward program requirements is permitted under certain conditions with adviser approval.
A minimum GPA of 3.00
is required for students to remain in good standing.
The PhD requires 24 course credits, including a minimum of 12 credits in core courses, and 24 thesis credits. The remaining 12 course credits may be taken from the core list, in a minor, or in subjects that support computational science, and should give the degree plan an interdisciplinary character.
Core Courses
Core courses may be chosen from the following list; other courses with a significant computation component may be used with approval of the Director of Graduate Studies.
AEM 8251 - Finite-Volume Methods in Computational Fluid Dynamics
(3.0 cr)
CEGE 8022 - Numerical Methods for Free and Moving Boundary Problems
(3.0 cr)
CEGE 8361 {Inactive}
(3.0 cr)
CEGE 8401 - Fundamentals of Finite Element Method
(3.0 cr)
CEGE 8402 - Nonlinear Finite Element Analysis
(3.0 cr)
CEGE 8561 - Analysis and Modeling of Aquatic Environments I
(3.0 cr)
CEGE 8562 - Analysis and Modeling of Aquatic Environments II
(3.0 cr)
CEGE 8572 - Computational Environmental Fluid Dynamics
(4.0 cr)
CHEM 8021 - Computational Chemistry
(4.0 cr)
CHEM 8541 - Dynamics
(4.0 cr)
CHEM 8551 - Quantum Mechanics I
(4.0 cr)
CHEM 8552 - Quantum Mechanics II
(2.0 cr)
CHEM 8561 - Thermodynamics, Statistical Mechanics, and Reaction Dynamics I
(4.0 cr)
CHEM 8562 - Thermodynamics, Statistical Mechanics, and Reaction Dynamics II
(4.0 cr)
CSCI 5302 - Analysis of Numerical Algorithms
(3.0 cr)
CSCI 5304 - Computational Aspects of Matrix Theory
(3.0 cr)
CSCI 5403 {Inactive}
(3.0 cr)
CSCI 5421 - Advanced Algorithms and Data Structures
(3.0 cr)
CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming
(3.0 cr)
CSCI 5461 - Functional Genomics, Systems Biology, and Bioinformatics
(3.0 cr)
CSCI 5481 - Computational Techniques for Genomics
(3.0 cr)
CSCI 5561 - Computer Vision
(3.0 cr)
CSCI 5607 - Fundamentals of Computer Graphics 1
(3.0 cr)
CSCI 5608 - Fundamentals of Computer Graphics II
(3.0 cr)
CSCI 5609 - Visualization
(3.0 cr)
CSCI 5707 - Principles of Database Systems
(3.0 cr)
CSCI 5801 - Software Engineering I
(3.0 cr)
CSCI 5802 - Software Engineering II
(3.0 cr)
CSCI 8314 - Sparse Matrix Computations
(3.0 cr)
CSCI 8725 - Databases for Bioinformatics
(3.0 cr)
EE 5239 - Introduction to Nonlinear Optimization
(3.0 cr)
EE 5531 - Probability and Stochastic Processes
(3.0 cr)
EE 5561 - Image Processing and Applications: From linear filters to artificial intelligence
(3.0 cr)
EE 8231 - Optimization Theory
(3.0 cr)
EPSY 8221 {Inactive}
(3.0 cr)
EPSY 8222 - Advanced Measurement: Theory and Application
(3.0 cr)
ESCI 5201 - Time-Series Analysis of Geological Phenomena
(3.0 cr)
HINF 5430 - Foundations of Health Informatics I
(3.0 cr)
HINF 5431 - Foundations of Health Informatics II
(3.0 cr)
HINF 8434 {Inactive}
(3.0 cr)
IE 5531 - Engineering Optimization I
(4.0 cr)
LING 5801 - Introduction to Computational Linguistics
(3.0 cr)
MATH 5467 - Introduction to the Mathematics of Image and Data Analysis
(4.0 cr)
MATH 5485 - Introduction to Numerical Methods I
(4.0 cr)
MATH 5486 - Introduction To Numerical Methods II
(4.0 cr)
MATH 5535 - Dynamical Systems and Chaos
(4.0 cr)
MATH 5587 - Elementary Partial Differential Equations I
(4.0 cr)
MATH 5588 - Elementary Partial Differential Equations II
(4.0 cr)
MATH 5651 - Basic Theory of Probability and Statistics
(4.0 cr)
MATH 5705 - Enumerative Combinatorics
(4.0 cr)
MATH 5707 - Graph Theory and Non-enumerative Combinatorics
(4.0 cr)
MATH 8441 - Numerical Analysis and Scientific Computing
(3.0 cr)
MATH 8442 - Numerical Analysis and Scientific Computing
(3.0 cr)
MATH 8445 - Numerical Analysis of Differential Equations
(3.0 cr)
MATH 8450 - Topics in Numerical Analysis
(1.0-3.0 cr)
MATH 8571 - Theory of Evolutionary Equations
(3.0 cr)
ME 5228 - Introduction to Finite Element Modeling, Analysis, and Design
(4.0 cr)
ME 5351 - Computational Heat Transfer
(4.0 cr)
ME 8228 - Finite Elements in Multidisciplinary Flow/Thermal/Stress and Manufacturing Applications
(4.0 cr)
ME 8229 - Finite Element Methods for Computational Mechanics: Transient/Dynamic Problems
(4.0 cr)
ME 8345 - Computational Heat Transfer and Fluid Flow
(3.0 cr)
NSC 5202 - Theoretical Neuroscience: Systems and Information Processing
(3.0 cr)
PHYS 5041 - Mathematical Methods for Physics
(4.0 cr)
PHYS 5042 {Inactive}
(4.0 cr)
PSY 5036W - Computational Vision
[WI]
(3.0 cr)
PSY 5038W - Introduction to Neural Networks
[WI]
(3.0 cr)
PSY 5960 - Topics in Psychology
(1.0-4.0 cr)
SCIC 8001 - Parallel High-Performance Computing
(3.0 cr)
SCIC 8011 - Scientific Visualization
(3.0 cr)
SCIC 8021 - Advanced Numerical Methods
(3.0 cr)
SCIC 8031 - Modeling, Optimization, and Statistics
(3.0 cr)
SCIC 8041 - Computational Aspects of Finite Element Methods
(3.0 cr)
SCIC 8095 - Problems in Scientific Computation
(1.0-3.0 cr)
SCIC 8190 - Supercomputer Research Seminar
(1.0 cr)
SCIC 8253 - Computational Nanomechanics
(3.0 cr)
SCIC 8551 - Multiscale Methods for Bridging Length and Time Scales
(3.0 cr)
SCIC 8594 - Scientific Computation Directed Research
(1.0-4.0 cr)
STAT 8701 - Computational Statistical Methods
(3.0 cr)
STAT 8711 {Inactive}
(3.0 cr)
Thesis Credits
Take 24 credits after passing preliminary oral exam
SCIC 8888 - Thesis Credit: Doctoral
(1.0-24.0 cr)
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Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Prerequisites: | 8401 or # |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Prerequisites: | 4411 or # |
Grading Basis: | A-F or Aud |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Prerequisites: | 8401 or #; offered alt yrs |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Prerequisites: | One sem grad work or # |
Grading Basis: | A-F or Aud |
Typically offered: | Every Spring |
Credits: | 3.0 [max 6.0] |
Prerequisites: | One sem grad work or # |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Prerequisites: | grad student in CSE or COAFES or # |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Chem 5541/8541 |
Typically offered: | Periodic Fall |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Chem 5551/8551 |
Typically offered: | Every Fall |
Credits: | 2.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4707/CSci 5707/INET 4707 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Prerequisites: | 2041 or # |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | EE 5561/EE 8541 |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 4.0] |
Course Equivalencies: | EPsy 8222/Psy 5865 |
Typically offered: | Spring Odd Year |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Spring Odd Year |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Math 5651/Stat 5101 |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 1.0 -3.0 [max 12.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | NSc 5202/Phsl 5202 |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Odd Year |
Credits: | 1.0 -4.0 [max 8.0] |
Typically offered: | Periodic Fall, Spring & Summer |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 1.0 -3.0 [max 9.0] |
Typically offered: | Periodic Fall |
Credits: | 1.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | ME 8253/SCIC 8253 |
Prerequisites: | CSE graduate student |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | AEM 8551/SCIC 8551 |
Prerequisites: | Basic knowledge of [continuum mechanics, atomic forces], familiarity with partial differential equations, grad student in [engineering or mathematics or physics or scientific computation] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Spring |
Credits: | 1.0 -4.0 [max 9.0] |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 1.0 -24.0 [max 100.0] |
Grading Basis: | No Grade |
Typically offered: | Every Fall, Spring & Summer |