Campuses:
Twin Cities Campus
Scientific Computation MinorChemical 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 SE, Minneapolis, MN 55455 (6126256345; fax: 6126267246)
Email:
wentz002@umn.edu
Website: http://www.scicomp.umn.edu
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, stateoftheart 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, highperformance computing tools, supercomputing and heterogeneous networks, and visualization.
Program Delivery
Prerequisites for Admission
For an online application or for more information about graduate education admissions, see the
General Information section of this
website.
Program Requirements
Use of 4xxx courses toward program requirements is permitted under certain conditions with adviser approval.
The minor requires the approval of the Scientific Computation director of graduate studies.
Courses used for the minor must be taken on the A/F grading scale. Credits may not be from courses in the student's major field.
Core Coursework
All students take 6 credits from the following list. Other courses with a significant computation component, with approval of the Scientific Computation director of graduate studies, may be chosen to fulfill the core course requirement.
AEM 8251  FiniteVolume Methods in Computational Fluid Dynamics
(3.0 cr)
CEGE 8022  Numerical Methods for Free and Moving Boundary Problems
(3.0 cr)
CEGE 8361  Engineering Model Fitting
(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
(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  TimeSeries 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 Nonenumerative 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
(1.03.0 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
(1.04.0 cr)
SCIC 8001  Parallel HighPerformance 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
(1.03.0 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
(1.04.0 cr)
STAT 8701  Computational Statistical Methods
(3.0 cr)
STAT 8711 {Inactive}
(3.0 cr)
Program Subplans
Students are required to complete one of the following subplans.
Students may not complete the program with more than one subplan.
Masters
Master's students complete the 6credit core curriculum.
Doctoral
Doctoral students complete the core curriculum plus 6 additional credits, in consultation with the Scientific Computation director of graduate studies. Courses can be chosen from the list of core coursework, or from fields that support computational science.


Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Spring 
Credits:  3.0 [max 3.0] 
Prerequisites:  8401 or # 
Grading Basis:  AF or Aud 
Typically offered:  Periodic Fall 
Credits:  3.0 [max 3.0] 
Prerequisites:  CSE grad student or # 
Grading Basis:  AF or Aud 
Typically offered:  Fall Even Year 
Credits:  3.0 [max 3.0] 
Prerequisites:  4411 or # 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Prerequisites:  8401 or #; offered alt yrs 
Grading Basis:  AF or Aud 
Typically offered:  Periodic Fall 
Credits:  3.0 [max 3.0] 
Prerequisites:  One sem grad work or # 
Grading Basis:  AF 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:  AF 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:  AF 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:  AF 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:  AF or Aud 
Typically offered:  Every Fall 
Credits:  1.0 3.0 [max 12.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Periodic Fall & Spring 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF 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:  AF 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 